This guide brings together the processes we use with our own clients, supported by industry research and examples from our campaigns. Wherever possible, we’ll show you the results we’ve achieved for our clients. Some of them have grown organic traffic by 10x, 29x, and even 75x by focusing on the right topics, building authority, and creating content that solves buyers’ problems.

Search looks different today than it did a few years ago. Google still drives the majority of software discovery, but many buyers now ask LLMs for recommendations before they ever visit a website.

AI-generated answers, Google AI Overviews, and zero-click searches have become another place where SaaS brands need to earn visibility. That’s why SEO today also includes optimizing for AI citations and answer engines.

Every recommendation in this guide comes from work we’ve done with B2B SaaS companies. We’ll explain why we use each tactic, where it delivered results, and where it wasn’t worth the effort.

Here’s what we’ll cover:

• What SaaS SEO is
• How AI search and zero-click results are changing SEO
• How to build your SEO strategy before creating content
• Finding the keywords and AI prompts your buyers use
• Creating content that ranks in Google and gets cited by AI
• On-page SEO
• Entity SEO
• Building authority and earning backlinks
• Original research, product-led SEO, and documentation
• When programmatic SEO works and when it doesn’t
• Technical SEO essentials
• How GEO fits into your SEO strategy
• Measuring SEO performance across search and AI
• Running SEO and content audits

What is SaaS SEO?

SaaS SEO is the process of helping your software appear when potential customers search for solutions on Google. That could be someone looking for software like yours, comparing competitors, or trying to solve a problem your product addresses.

For most SaaS companies, organic search is one of the strongest long-term growth channels. SEO isn’t free – it takes investment in strategy, content, technical improvements, and building your site’s authority. But unlike paid ads, where you pay for every visitor, a page that ranks well can keep bringing qualified traffic for months or even years after it’s published. Over time, that makes SEO one of the most cost-effective ways to acquire customers.

According to First Page Sage’s CTR study, the first organic result receives around 40% of all clicks on a typical Google search. That makes ranking on the first page, especially in the top positions, one of the biggest growth opportunities for SaaS companies.

That said, search is changing. Google’s AI Overviews now answer many questions directly on the results page, so fewer people click through to websites. Ahrefs’ latest research found that when an AI Overview appears, the top-ranking page receives 58% fewer clicks than it would have before AI Overviews existed.

For SaaS companies, this doesn’t make SEO less valuable but it changes how success is measured. Ranking well still matters, especially for high-intent pages like pricing, product, and comparison pages where conversions happen. Informational content should also be evaluated by how often it gets cited in AI answers, builds brand awareness, and influences buying decisions, even when users don’t visit your website directly.

SaaS SEO has changed: AI search is now part of SEO

A few years ago, getting to the top of Google was the main goal for every SaaS product. Today, it’s only part of the picture.

Many buyers now start their research in ChatGPT or other LLMs instead of traditional search. Their searches have become more conversational: What’s the best CRM for a manufacturing company? Which project management tool integrates with SAP? If your brand isn’t part of the answer, you may never get the visit.

That means SaaS SEO now has two jobs: helping your pages rank in Google and helping your brand appear in AI-generated answers. The good news is that the same fundamentals drive both. Useful content, quality backlinks, and topical authority all help. We’ve also found that mentions on trusted third-party websites, direct answers to common questions, and visibility in comparison pages and listicles make a bigger difference than they used to.

We’ll show you how to optimize for both through this guide.

Zero-click search: the traffic that isn’t coming back

A lot of searches now end without anyone clicking through to a website. Google often answers the question directly in AI Overviews, and many people get what they need from ChatGPT or another LLM. That’s called zero-click search, and it’s why your rankings can stay the same while fewer people actually reach your website.

Ahrefs found that Google’s AI Overviews reduced click-through rates to the top organic result by more than 50%, and the gap has continued to grow over time. People get their answers before even visiting your website, so even strong pages often receive far less clicks.

Because of this, we no longer treat traffic as the main SEO metric. If a page loses 20% of its clicks but starts getting cited by AI tools and drives more branded searches, it’s still contributing to the business. A page that loses clicks without gaining visibility anywhere else deserves attention. Looking at traffic alone can make you think a page is underperforming when it’s actually doing exactly what it should.

Different pages on your SaaS website have different goals. High-intent pages should still be measured by rankings, clicks, and conversions. Informational content has a different job. It helps you build topical authority, strengthen your brand, and become a source Google and AI tools trust. Over time, that trust can improve your visibility in AI-generated answers and make your commercial pages easier to rank.

SaaS SEO: Before you start 

To build a SEO strategy for our clients, we start with research on their product, audience, and competitors.

For your product, answer:

• What problems does your product solve, and why?
• Why should people buy your product? What are its benefits?
• What are its limitations?
• Who are your direct and indirect competitors? How does your product compare?
• Who is your ideal customer (job title, pain points, needs, wants, motivations)?
• What do customers say about your product?
  

The answers will guide your keyword research and show you how your buyers describe their problems, whether they’re searching on Google or asking an AI assistant.

SaaS SEO: Keyword and prompt research

Choose a keyword research tool

Ahrefs and Semrush are the strongest options on the market. We’ve been using Ahrefs for our clients for years and got used to it but you can choose whatever works for you, check some of the SaaS content marketing tools we actually use in the roundup that I’ve put together if you need more guidance on the go-to tools.  

Organize your keyword research

Store your keywords in a spreadsheet or your SEO tool of choice. Track search volume, keyword difficulty, search intent, and the page you plan to target. Having everything in one place makes it much easier to prioritize your content plan.

Study search intent, search volume, and keyword difficulty

Your keyword research for SaaS should ideally focus on the keywords with high search intent, a reasonable search volume, and low keyword difficulty.

Search intent describes what the person typing the keyword wants. High intent means they’re close to buying or taking action.

Search volume (SV) is the estimated number of monthly searches. What counts as “reasonable” depends on your product. If you sell a $1,000 product, a keyword with 30 searches a month that converts even a handful of buyers is a good keyword.

Keyword difficulty (KD) estimates how hard it is to rank for a term. Check the Ahrefs KD score, but also look at the actual results page: how many backlinks the ranking pages have and what their domain rating is to understand how hard filling in the gap is going to be.

💬The mistake we often see: SaaS teams chase search volume and ignore intent. A keyword with 5,000 searches a month and vague, top-of-funnel intent (“what is CRM”) will rarely outperform a keyword with 40 searches a month and clear buying intent (“best CRM for manufacturing”), because the second one is closer to a signed contract. Volume is a vanity metric if the person searching isn’t close to buying. Top-of-the-funnel content still has its place. But if your goal is pipeline, high-intent keywords should come first.

Find the keywords

Here’s how we find high-converting keywords for clients.

Brainstorm topics

Think about what your customers search for based on their pain points. Inspire yourself by analyzing sales calls or asking customers directly:

• What problem did our product solve for you?
• What did you type into Google to find us?
• What words would you use to describe our product?

G2 is a great place to see how customers describe your product, and your competitors’ products, in their own words. The good-old ChatGPT is also a good starting point for giving you ideas on what your potential customers might be searching for. 

Find high-intent keywords

We advise SaaS companies to focus on high-intent keywords that show a strong buying intent. After all, our goal is to generate revenue at the end of the day with the content we create.

Since you’ll search for alternative, competitor, review, and pricing keywords for every competitor, your keyword list will get long fast. You can upload keywords in bulk to Ahrefs to save search credits.

Research prompts

Keyword tools tell you what people search for on Google. But they don’t show the prompts people use in ChatGPT and other LLMs. Search Console fills in some of the gaps with conversational Google searches, but AI prompts are still a separate source of research.

Don’t stop after exporting keywords from Ahrefs or Semrush. Pick your highest-value keywords and ask the same question in ChatGPT and Perplexity. You’re looking for patterns:

• Which competitors are recommended every time?
• Which websites and listicles are cited?
• Which product features keep getting mentioned?
• What questions are users asking before choosing a product?

The answers often reveal opportunities you won’t find in keyword tools. Sometimes you’ll discover a comparison page in Citations that’s missing on your website, a feature page you haven’t built yet, or an industry listicle where every competitor appears except you.

How we run this for clients:

We use an AI visibility tracking tool (we use Allmond, but you can read our AI visibility tools roundup and choose the one that works well for you. We put together a set of prompts we want to track for every client and see whether the client’s brand is present in the answers of ChatGPT, Claude, Perplexity, etc. 

It’s helpful to see which competitors are mentioned as well as which URLs are being cited. After 9+ months of working on AI visibility for 20+ SaaS clients, we’ve noticed a pattern: when a brand doesn’t appear in AI answers, it’s usually because it isn’t included in the top 30 listicles ranking for that question. LLMs usually cite top ranking results most often but of course there are a lot of exceptions. 

Allmond prompt performance dashboard

Check how your compare to competition in AI search

Checking competitor keywords in Ahrefs only tells half the story now. Also check:

• Which competitors come up when you ask ChatGPT, Perplexity, and Gemini your core buying questions

Allmond competitor analysis dashboard

• Which brands appear in Google’s AI Overviews for the same questions
• Which listicles and “best tools” pages that LLMs pull from feature competitors (and you are missing)

Allmond AI Citations dashboard

This tells you where the competitive gap is. You might outrank a competitor on Google and still lose the AI answer, because they show up in three listicles that you don’t.

💬 Many SEO guides encourage you to publish content for every keyword your competitors rank for. We’d rather start with the keywords buyers search when they’re comparing solutions, and make sure your brand appears in the listicles and comparison pages AI tools cite.

Use Google autosuggest and ask ChatGPT

Start typing your keyword into Google and note the autosuggest predictions, then check them against your keyword research tool. Google autosuggest is one of the best sources for long tail keywords.

You can also ask ChatGPT for keyword ideas around your topic and verify each one with a keyword tool before adding it to your spreadsheet. You can also use the Listicle Manager tool – it’s great for finding relevant listicles in your niche but it also works great when you need to find high-intent keyword ideas:

Create topic clusters

Grouping your keywords into topic clusters positions you as an authority on a subject and makes it easier for readers to find related information. A topic cluster has a pillar page (the main article covering a topic in depth) and cluster content (supporting articles on more specific keywords within the same topic). Check out the example of such structure for one of our clients:

Pillar-cluster content architecture example of our client YouScan

Content pillars are important both for blog content and for your SaaS landing pages structure. In fact, site structure, SaaS website menu organization and footer links is one of the first things we focus on when we work with the client. This lays the foundation for the entire SEO and GEO you’ll be working in the future.

For example, for our client Cashflowy we’ve focused on the Hubs like Professions, Use Cases, Features, Customer Stories followed by 5 different blog categories to organize the website properly. Every page in the dropdown menu or a footer is there for a reason – it’s supported either by a business case or an actual keyword people are typing on Google. Given the fact that both Google and LLMs love landing pages, it becomes more important than ever to ensure you do a proper job with your website pages. 

SaaS SEO: Content

Content can be video, webinar, newsletter, podcast, and more, but we’ll focus on website text content here, since it’s one of the content types that produces the strongest content marketing results and it’s what we specialize in writing.

Analyze the top-ranking results

Go through the first five ranking articles for your lead gen keyword and see what they have in common and what they’re missing. Can you find an information gap and cover the topic in more depth? Add specific examples that make the article more actionable? Make it more interesting with real stories instead of generic advice?

Bonus tip: Look for an outlier among the ranking pages, a site with a much lower domain rating than the rest. That page deserves a closer look, since it tells you something about what’s actually working beyond pure authority. Read this guide in detail to know how we approach SaaS content marketing strategy in 2026.

Hook the reader

Hook the reader in your introduction. Frameworks like AIDA and PAS help when you’re short on inspiration. Avoid “water is wet” statements, connect to your reader’s actual problem, and use a real stat or story to keep them reading.

Decrease friction

Google wants the best possible reading experience, so remove friction wherever you can:

• Cut the fluff. Fluff is anything that doesn’t add value. Ask yourself: so what? Why does this matter? If you don’t have a good answer, cut it.
• Cut the wordiness. If you can say something with fewer words, do it. Don’t repeat the same idea twice.
• Cut the complexity. Write conversationally so nobody has to read a sentence twice to understand it. Ask yourself: is this clear to the reader, or just to me?

Show real expertise: E-E-A-T

Google’s Helpful Content update has since been folded into the core algorithm, and the same principle now drives both Google rankings and AI citations: E-E-A-T, meaning experience, expertise, authoritativeness, and trust.

For a SaaS blog, that means:

• Write from first-hand experience with your product and your customers’ problems
• Bring in expert quotes from your own team or outside specialists, and link to their credentials
• Include original data wherever you can, even something as small as a survey of your own customer base
• Make it clear who wrote the article and why they’re qualified to write it
• Build recognition for your brand and your writers as consistent entities (more on this in the entity SEO section below)

AI systems weigh this the same way Google does. Ryan Law, Ahrefs’ Director of Content Marketing, has pointed out that content living only on your own site carries far less weight with AI systems than content and mentions that show up about your brand elsewhere on the web. In Ahrefs’ analysis of 75,000 brands, branded web mentions correlated with AI Overview visibility roughly three times more strongly than backlinks did. First-hand expertise that gets picked up and talked about elsewhere does more for you than a technically flawless article that never leaves your domain.

This is exactly the approach we used for YouScan, an AI-powered social listening platform. We built a pillar-cluster structure around their use cases and the questions their buyers were asking. We prioritized high-intent comparison, alternative, and review pages alongside longer-tail educational content, then wrote every article to E-E-A-T standards with a clear structure, strategic internal links, and helpful product context. Over 15 months, that increased organic clicks by 29x and impressions by 26x.

Make it scannable

Scannable content increases dwell time, the amount of time a reader spends on your page, and a longer dwell time signals to Google that your page is relevant. With so much content competing for attention, nobody is motivated to read a wall of text. Include subheadings, lists, images, videos, tables, and short paragraphs. 

Format for AI answers

Scannable content used to be about keeping a human reader engaged. Now it also determines whether an AI system can get an answer out of your page.

Structure your articles so a model can extract a self-contained answer:

• Put a concise, direct definition right after each subheading, before you go into detail
• Use comparison tables for anything with more than two options
• Add an FAQ section that mirrors how people actually phrase questions
• Include specific numbers and statistics instead of vague claims
• Summarize numbered frameworks and steps instead of burying them inside a paragraph

One thing we’ve noticed works well is turning headings into questions. In our experience, articles structured this way are cited by AI answers more often than those using standard descriptive headings.

Optimize it

We use SurferSEO to check we’re covering the terms and structure the top-ranking pages use, and to see how many images, paragraphs, and words are typical for the topic.

Treat the SurferSEO score as a guide, not a target. Writing to hit an exact number tends to produce stiffer, repetitive content, which works against you with both readers and E-E-A-T.

Beyond it, we include the main keyword in the introduction, ideally in the first sentence, and in subheadings where it reads naturally, along with internal and external links.

Want to learn more about these and other concepts and tools to improve your writing? Check out our B2B SaaS copywriting guide.

SaaS SEO: On-page optimization

On-page optimization refers to the changes you make on your website. All the elements below give search engines context about what a page covers so they can rank it properly.

URL, meta title, H1, and meta description

Start with the URL. Include your primary keyword in the slug. That’s one of the most common mistakes we see SaaS companies make – putting the entire title to the slug with the year in it or a number of tools they compare and having troubles later – whenever the year has changed or they want to add another tool to the list. You want to keep your URLs evergreen and relevant.

Good: example.com/blog/saas-seo-strategy

Bad: example.com/articles/post-27
or example.com/blog/how-we-think-about-search-in-2026

(if the target keyword is SaaS SEO strategy).

We usually advise our clients to keep blog posts under a /blog/ folder so you can easily measure blog performance separately in your analytics.

Important: Don’t keep your blog on the subdomain
Not: blog.example.com
Yes: example.com/blog

Unless of course you are a company with hubspot’s budgets and can afford building backlinks to both –

Next, write your meta title. Keep it under 70 characters, place your primary keyword near the beginning, and remember that it appears in search results, so it doesn’t have to be identical to your on-page heading.

On the page itself, use a single H1 that clearly reflects the topic and naturally includes your target keyword. I often see several H1 on SaaS websites that weren’t touched by an SEO expert. Remember 1 page= 1 title = 1 H1 heading

Finally, write a meta description under 155 characters. It won’t directly improve your rankings, but a compelling description can increase your click-through rate from search results.

Example:
H1

Title:

Here’s an AI prompt you can run in ChatGPT or Claude to generate meta descriptions for your website pages: 

You are an experienced B2B SaaS SEO copywriter. Write a meta description for the following page. Requirements: – 140–155 characters. – Naturally include the primary keyword. – Explain the main benefit to the reader. – Focus on solving the user’s problem, not just describing the page. – Use clear, conversational language. – Avoid keyword stuffing and generic marketing phrases. – Do not use quotation marks or emojis. – Include a subtle call to action only if it feels natural. – The description should encourage clicks while accurately reflecting the page content. Page type: {{Page type}} Primary keyword: {{Primary keyword}} Secondary keywords: {{Secondary keywords}} H1: {{H1}} Brief page summary: {{Summary}} Target audience: {{Audience}} Return: 1. Best meta description 2. Two alternative versions 3. Character count for each

Internal links

An internal link points from one page on your site to another page on the same site. The clickable text is the anchor text.

Example of an internal link in the article text

Our internal linking strategy looks like this:

• We aim to have 5-6 internal links per every 1000 words.
• Link new pages into your existing content as soon as you publish them
• Keep anchor text specific and varied, not just exact-match repeats, since over-optimized anchors read as a signal to Google
• Prioritize links to your lead-generating pages so they build authority and rank higher over time

Bonus tip: you can perform a site search (site:yourdomain.com keyword) to help you find relevant pages to link to.

Building a pillar-cluster structure we discussed earlier helps you support your most important pages with internal links and build topical authority around the topics you want to rank for. Instead of publishing a collection of unrelated blog posts, you create content that’s connected. That makes it easier for Google and AI tools to understand what your site covers and recognize that you have in-depth expertise on the topic.

External links, image alt tags, and subheadings

Back up your claims with data from reputable sources whenever you can, since that builds trust with both readers and Google. For images, write an accurate, brief alt description with your main keyword where it fits naturally, and compress every image before uploading, since large files slow down your page. For subheadings, include your target keyword or a natural variation where it makes sense. If your main keyword is workforce management, don’t use vague headings like “Benefits.” Instead, write something more descriptive, such as “Benefits of workforce management,” “Key workforce management features,” or “How workforce management improves productivity.” Use your judgment, and don’t force keywords into every heading.

SaaS SEO: Entity SEO

Entity SEO is one of the biggest gaps in most SaaS SEO strategies right now, and it’s missing from most guides written before 2025.

An entity is a distinct, recognizable “thing”, your company, your product, or your founder, that Google and AI systems can identify consistently across the web. The goal is to make sure every mention of your brand points to the same entity, with the same facts attached to it.

Focus on:

• Company entity: keep your name, description, founding date, and location consistent across your website, LinkedIn, Crunchbase, and any directory that lists you
• Founder entity: keep your founders’ bios, titles, and credentials consistent everywhere they appear, since AI systems associate expertise with named people, not just companies
• Product entity: make sure your product’s category, core features, and pricing model read the same way on your site, G2, Capterra, and any comparison page you’re featured on
• Profile consistency: fill out and keep current your listings on G2, Capterra, Crunchbase, GitHub if relevant, and LinkedIn
• Knowledge graph consistency: Google builds a picture of your company from many sources at once, and contradictory details, like a different founding year on Crunchbase versus your About page, slow down how confidently Google and AI models represent you

How to run an entity audit

Most teams never do this because it doesn’t feel like “real” SEO work. It’s a one-afternoon project, and here’s the version we run for clients:

• Run a search on Google, simply type in Your Brand name

You are going to see all the instances where your brand appears – social media, review platforms, other blogs, directories, etc. 

• Check out how your brand is described across all those websites. 
• Check your founding year, headquarters, employee count range, pricing, description, contact information, etc.
• Fix every mismatch you find, starting with the ones on high-authority profiles (Crunchbase and LinkedIn carry more weight than a random directory)
• Do the same exercise for your founders’ names, titles, and bios wherever they’re listed as authors or speakers
• Repeat this every 6 to 12 months, since these listings drift as your company grows and nobody remembers to update the third-party ones

The mistake we repeatedly catch: a company rebrands, pivots, changes its tagline, or updates its employee count on its own site, and forgets that Crunchbase, G2, and three review sites are still running the old version. To an AI model synthesizing an answer, that reads as conflicting information about the same entity, and conflicting information is exactly what makes a model less confident citing you at all.

None of this is complicated work. But it compounds, since a consistent entity is easier for both Google and AI systems to trust and cite, and it’s one of the cheapest authority wins available right now.

SaaS SEO: Authority building

Today, brand mentions carry nearly as much weight as the backlink itself, since LLMs weigh both. We’re calling this section Authority Building for that reason, though the mechanics below still center on getting other credible sites to reference you.

A backlink is a link from another website pointing to yours. High-quality backlinks remain one of the strongest ranking factors, since many sites linking to you signals to Google that your content is worth ranking. Backlinks also raise your domain rating, which helps future articles rank faster, and can send you direct referral traffic.

It’s never too early to start building backlinks, with one exception: don’t do it while your content is still thin. Valuable content comes first. We usually distribute link building budgets strategically across blog articles (especially those covering lead gen keywords), homepage for overall domain authority and product pages to push those up in rankings and get more traffic translating into sign ups.  

How to choose which pages and websites to build links to

You can build backlinks to almost any page on your website. Blog posts are often the easiest because they’re educational and naturally attract links, but feature pages, comparison pages, integrations, use cases, free tools, and research pages can be just as valuable, especially when they target commercial keywords.

To decide where to focus, start with the pages that have the biggest business impact and are already showing potential. In Google Search Console or Ahrefs, look for pages ranking between positions 4 and 20 or pages gaining impressions. Those are some of the quickest wins, since a handful of high-quality backlinks can be enough to move them onto the first page.

When choosing anchor text, use the keywords the page already ranks for, along with natural variations. There’s no need to repeat the exact same keyword in every link. Write anchor text that fits naturally into the sentence and tells readers what they’ll find after clicking.

It’s important to choose the right websites linking to you. We have a guide on how we evaluate websites for SaaS link building, in short, we usually look at four things:

• Is the website relevant to your industry or audience?
• Does it publish high-quality editorial content?
• Does it get consistent organic traffic?
• Does it have solid authority? Metrics like DR and DA are useful for comparing opportunities, but they’re only one signal.

We’d rather earn one editorial link from a respected SaaS publication than five links from generic websites covering every topic under the sun. Relevant, trustworthy links usually have a much bigger impact on rankings and they’re also more likely to be picked up as sources by LLMs.

Link-building strategies we use

Among the tactics below, we lean on editorial links received through A-B-C exchanges the most, because they perform best for our clients and center on building long-term relationships with partners.

• Partnership backlinks (A-B-C exchanges): domain A links to domain B, and domain B links to domain C, so no two domains exchange links directly. We’d avoid simple A-B swaps, since Google discounts them and they rarely move the needle.
• Listicle outreach: reach out to top ranking websites that publish “best,” “top,” “alternative,” and “comparison” articles in your category and ask to be included if your product is a good fit. These listicles rank for many high-intent keywords and are frequently cited by AI models. If another SaaS company owns the listicle, inclusion often happens through a partnership or A-B-C exchange.
• Guest posts: write for another site in exchange for a link back, using the staircase strategy: start with sites at a similar domain rating to yours, build a portfolio, then pitch more competitive publications with that portfolio as proof.
• Digital PR: Getting featured on Forbes, Entrepreneur, USA Today, TechCrunch, Inc and other top tier platforms helps you build authority and grow brand awareness.
• Missing backlink strategy: search for unlinked mentions of your brand and reach out asking for a link. Set up an Ahrefs alert for brand mentions to catch these automatically.
• Broken links and outdated tool replacement: find sites linking to dead pages, or to a competitor that no longer exists, and offer your content as the replacement.

A tactic we’ve mostly stopped recommending: the classic skyscraper technique, where you build something objectively better than the top-ranking piece and ask everyone linking to it to switch. It worked well a few years ago. It works less well now, since outreach reply rates on cold “your link is outdated” emails have dropped across the board as more agencies run the same play. We still use it occasionally, but we no longer lead a client’s strategy with it.

Getting featured in listicles

This strategy deserves special attention. If you’re not showing up in the “best tools for X” and “X alternatives” pages that rank for your category, LLms are less likely to mention you either. In our own LLM visibility research across 10,000 AI citations, top-ranking listicles accounted for roughly half of all citation sources.

Two things help here: publish your own listicles for high-intent terms in your category, staying honest about where your product genuinely fits, and reach out to existing high-ranking listicles in your niche asking to be included, prioritizing sites already ranking for your business keywords.

This is manual, relationship-driven work, similar to guest posting. We built our own tool, ListicleManager, to run this at scale for clients instead of managing it in a spreadsheet.

Expand your digital PR

Digital PR has become one of the most effective ways to build authority. Instead of creating content only for your own website, get your research, data, or expert insights featured in trusted publications your audience already knows.

This could be original research, industry surveys, expert commentary, founder interviews, or reacting to breaking news with a unique perspective.

We’ve used this approach across multiple SaaS clients. For Warmy, we turned their email deliverability research into coverage on Fortune and Reuters. We helped airfocus get featured on TechCrunch and Crunchbase, Expandi on Forbes, and another client (under NDA) on Entrepreneur, Inc., USA Today, and many other publications.

Third-party coverage builds credibility with potential customers and strengthens the authority signals that search engines and AI models use when deciding which brands to trust.

SaaS SEO: Original research, product-led SEO, and product docs

This is where some of the strongest, most differentiated SEO assets for a SaaS company come from, and it’s also the easiest way to earn the digital PR coverage described above.

First-party data and original research

If you’re working on an original research project, make sure you have a distribution plan from the start. What we often see is a SaaS company spending weeks collecting data, interviewing customers, analyzing results, and publishing a beautiful landing page, only for hardly anyone to find it.

Think about how you’re going to get that research in front of people. Share it on social media, send it to your email list, reach out to niche influencers and journalists, link to it from relevant blog articles, and even consider adding a site-wide banner announcing the report. If people are actively searching for the topic, optimize the page for SEO and support it with backlinks so it has a chance to rank.

Creating industry research is only half the battle. Distribution is usually the harder part.

Research can take many forms: industry benchmarks based on your own product or customer data, survey results from your users or target audience, original statistics, or datasets you’re willing to make publicly available.

If you’re looking for inspiration, Ahrefs is a great example of a company that consistently creates and promotes original research. They have a well-known brand and a large audience, but the principle is the same for smaller SaaS companies. If you can publish data that answers questions your audience cares about, you have something worth talking about.

One thing I wouldn’t recommend is publishing a research report and calling it a day. Backlinks rarely appear on their own. People need to discover your research before they can reference it, so plan how you’re going to promote it long before you hit “Publish.”

Product-led SEO: templates, calculators, and free tools

Product-led content shows your product solving a problem instead of describing it. It tends to convert and get cited better than informational content because it doubles as proof.

• Free calculators (ROI calculators, pricing estimators) that use your product’s actual logic. Example: Saving calculator for solopreneur by Cashflowy.ai
• Templates your audience can download and immediately use, ideally ones that show your product’s output format. Example: Real Estate Purchae Agreement Template by PandaDoc 
• Interactive tools that solve a narrow, specific problem your product also solves. Example: SOP generator by MagicHow
• Comparison pages where you cover alternatives honestly, since covering competitors builds more trust than pretending they don’t exist Best financial analysis software article by FuelFinance

We used this approach with Fuelfinance, an FP&A platform for startups and SMBs. On top of comparison pages and practical guides, we created downloadable templates, cheat sheets, and other resources that people could use immediately. Those assets acted as lead magnets while naturally demonstrating the product’s value. In under 18 months, organic traffic grew from about 200 monthly visits to more than 2,000, and marketing-qualified leads from organic search increased from 5 to 13 per month.

Product documentation as an SEO asset 

Most SaaS companies treat their help center and documentation as a support cost center, not a marketing asset. That’s a missed opportunity.

First, documentation pages often rank well with very little SEO effort, since they answer specific, high-intent questions (“how do I connect X to Y,” “why is Z not working”) that your competitors’ marketing content doesn’t cover as precisely. Second, AI systems favor exactly this kind of specific, structured, first-hand content when answering how-to questions about your category.

• Make sure your docs are publicly indexable, not locked behind a login (I was looking at a client’s knowledge base recently and noticed that half of the pages weren’t indexed because there’s a standalone sitemap for the knowledge based that wasn’t submitted to GSC or added to robots.txt.
• Use the same on-page basics as your blog: clear titles, one H1, descriptive subheadings
• Link relevant blog content into your docs and your docs back into relevant blog content
• Treat your top 20 support tickets as a content brief. If customers keep asking the same question, that’s a documentation gap and an SEO opportunity at once

Programmatic SEO: when it works, and when it doesn’t 

Programmatic SEO means generating a large number of similar pages from a template and a dataset, for example, one page per city, per integration, or per use case. Done well, it can produce hundreds of relevant, indexable pages fast. Done poorly, it produces a pile of thin, near-duplicate pages that hurt your crawl budget and your credibility with Google.

It tends to work when:

• You have a large, structured dataset (integrations, locations, job titles, industries) where each page has a real, distinct reason to exist
• Each page can say something specific and useful, not just swap out one variable in an otherwise identical template
• You have the resources to maintain and update the pages on a regular basis (they could quickly get outdated)

It backfires when the pages are thin (a title swap and one sentence of unique content), when there’s no real search demand behind most of the variations, or when the site publishes hundreds of pages at once with no plan to maintain them. Google has gotten noticeably better at identifying and discounting this pattern.

Our honest take: programmatic SEO works for maybe 1 in 5 of the SaaS companies who ask us about it. It’s a great fit if you’re an integration marketplace or have real per-location or per-industry data. It’s a poor fit if the real goal is just to publish more pages faster. We turn down more programmatic SEO requests than we take on, and we’ll tell you directly if we think it’s the wrong move for your product. Nevertheless, we’ve had pretty good results with it for one of our clients in sales engineering space (NDA) growing their traffic from 0 (see image below):

SaaS SEO: Technical optimization

Technical SEO usually isn’t the biggest thing holding SaaS websites back, but there are a few issues that can limit the results of everything else you’re doing. We’ll focus on what to fix and why it matters, rather than step-by-step plugin tutorials that tend to become outdated quickly.

The fundamentals 

• HTTPS: a confirmed ranking signal since 2014. If you’re not on it, this is a same-week fix with your hosting provider.
• XML sitemap: lists your URLs so search engines can discover and crawl them. Most SEO plugins (Yoast, RankMath) generate and update this automatically. Submit the sitemap URL in Google Search Console under Sitemaps. Make sure you submit ALL sitemaps if you have multiple.
• Indexing: after publishing, request indexing for the URL in Google Search Console so Google knows the page is ready for review.
• Duplicate content: tools like Siteliner flag it. Some overlap is normal; above roughly 15%, consider merging pages or adding 301 redirects.
• 301 redirects: use one when you permanently move or merge a page. Avoid changing the URL of a page that already has traffic and backlinks unless you’re setting up a proper redirect, since you risk losing the value those links pass along.
• Schema markup: structured data (Article, FAQ, Product, Review) that helps search engines, and increasingly AI crawlers, parse your page correctly. Add it per page and validate it with Google’s Rich Results Test before publishing. SameAs schema – use it if your brand name isn’t unique. There’s no second Quoleady on the internet but there’s certainly more than one Cashflowy, Delta or Element.
• Page speed: a direct ranking factor since 2010. Test with PageSpeed Insights on both mobile and desktop. If you’re in the red zone, the highest-leverage fixes are almost always image compression, minifying CSS/JS, and enabling caching.
• Mobile responsiveness: most themes handle this by default, but check how your long-form articles actually render on a phone, since mobile accounts for the majority of traffic.

What’s new in technical SEO for 2026

A few technical factors matter more now than they did before:

• JavaScript rendering: make sure your key content renders in raw HTML, not only after JavaScript executes, since not every AI crawler renders JavaScript the way Googlebot does
• Server-side rendering: for JavaScript-heavy frameworks, server-side or static rendering keeps content accessible to a wider range of crawlers
• Crawl budget: on larger SaaS sites, a bloated URL structure from filters, tags, and thin pages can eat your crawl budget and slow indexing of important pages/
• AI crawler access: check that your robots.txt and llms.txt allow crawlers like GPTBot, ClaudeBot, and PerplexityBot if you want your content eligible for AI citation

GEO: what it is and how it fits with SEO

GEO (Generative Engine Optimization) is the process of helping your brand show up in answers from ChatGPT, Gemini, Claude, Perplexity, and Google’s AI Overviews. It’s about making your content easy for AI tools to understand and giving them enough reasons to cite your brand.

GEO doesn’t replace SEO. It builds on it. Good content, backlinks, digital PR, and topical authority all help you rank in Google and improve your chances of being mentioned in AI answers.

The question isn’t GEO vs SEO because they share the same foundation: helpful content, real expertise, technical accessibility, and authority. 

Where GEO differs is in what you’re optimizing for. With SEO, you’re trying to rank your own pages. With GEO, you’re trying to become one of the sources AI tools rely on when they generate an answer. That means publishing content AI tools can easily understand, but it also means earning mentions in listicles, reviews, industry publications, forums, and other places LLMs frequently reference.

LLMs don’t simply recommend whatever ranks first on Google. An Ahrefs analysis of 4 million AI Overview citations found that only 38% of the cited pages also ranked in the top 10 organic results for the same query, down from 76% just months earlier. Ranking well still helps, but it doesn’t guarantee your brand will be cited. AI tools pull information from many sources, then decide which ones best answer the question.

How AI citations get chosen

AI tools don’t simply recommend the page that ranks #1 on Google. They look for information they can confidently use to answer a question. Sometimes that comes from your website. Sometimes it comes from another source mentioning your brand.

From what we’ve seen across our clients, three things make the biggest difference:

• Be specific. Original data, clear numbers, product examples, and unique insights are much more likely to be cited than broad, generic advice.
• Get mentioned in more than one place. When your website, industry publications, listicles, and other trusted sources all describe your product in a similar way, AI tools are more likely to reference your brand.
• Keep important pages up to date. If you’re talking about pricing, features, integrations, or anything that changes over time, refresh those pages regularly. AI tools tend to prefer current information.

One thing we’ve learned after working with SaaS companies on AI visibility is that you can’t optimize a single page and expect AI tools to start citing it overnight. LLM citations are usually the result of consistent work over time. Publish helpful content, build your authority, earn mentions on trusted websites, and the citations follow.

That’s why we don’t treat GEO as a separate marketing channel. It’s SEO with one more goal: making your brand more likely to appear in AI answers alongside Google search.

If you’re curious how visible your company is today, we can run an AI visibility audit and show you where your brand appears in ChatGPT, Claude, Gemini, Perplexity, and Google’s AI Overviews, where you’re missing, and what to improve first. You can book a call with us today.

SaaS SEO: Measuring results

If you’re starting from scratch, expect around six months before SEO becomes a meaningful source of leads. Established websites often see results sooner because they already have authority to build on.

Here’s what we typically see with SaaS clients:

Months 1-3

• First organic impressions and clicks
• Initial AI citations and brand mentions
• Technical issues fixed and a solid content foundation in place

Months 3-6

• Steady organic traffic growth
• First sign-ups from organic search
• Growing visibility in ChatGPT, Gemini, Claude, Perplexity, and Google’s AI Overviews

Months 6-9

• Consistent traffic growth month after month
• More sign-ups coming from organic search
• More frequent AI citations as your website and brand become more authoritative

Of course, every business is different. We covered two client examples earlier in this guide: YouScan grew organic clicks 29x over 15 months, while FullSession generated more than 500 leads from just 16 blog articles in four months, which the team credited with helping them raise their next funding round. Those are examples of what’s possible under the right conditions, not guarantees. Results always depend on your starting point, competition, budget, and how consistently you publish.

We also recommend tracking more than rankings. These are the metrics we monitor for every client:

• Organic traffic: How many visitors come from search.
• Keyword rankings: Where your important pages rank.
• Conversions: Free trials, demo requests, sign-ups, or other business goals from organic traffic.
• AI visibility: How often your brand appears in ChatGPT, Claude, Gemini, Perplexity, and Google’s AI Overviews.
• Branded search: Whether more people are searching specifically for your company.
• Backlinks and referring domains: Whether your authority is growing over time.

Looking at all of these together gives you a much better picture than traffic alone. A page might lose some clicks because of AI Overviews but bring in more sign-ups and AI citations. That’s still a win.

Add AI visibility to your dashboard

Traffic and rankings are still important, but they only tell you how you’re doing in Google. If you want to know how visible your brand is in AI search, you need to track a few more things.

Look at how often your brand appears in ChatGPT and other LLMs for the questions your buyers ask. Check which pages AI tools cite when they mention you or your competitors, how often you appear compared to other brands in your category, and whether your brand is being mentioned consistently across the web.

We use Allmond for this with our clients. It checks the major AI platforms every week, gives you an AI visibility score from 0 to 100, and shows exactly where you’re being cited, where your competitors are winning, and where you have opportunities to improve.

For everything else, we rely on Google Search Console, Google Analytics 4, Ahrefs, and Moz.

SaaS SEO: Audits

There are two audits worth running regularly: an SEO audit and a content audit.

SEO audit

An SEO audit helps you find the issues that could be holding your website back before they affect your rankings. For sites with up to 500 pages, you can use Screaming Frog for free to crawl your website and export the data.

We usually check things like heading structure, broken links, redirects, page speed, structured data, image optimization, meta tags, and duplicate or thin content.

👉 We also offer SaaS SEO audit as a paid service. For every issue we find, we explain what’s wrong, why it matters, and how to fix it, so you know exactly what to prioritize.

Content audit

A SaaS content audit is a systematic review of everything you’ve published. If pages on your blog aren’t bringing traffic or signups anymore, it’s worth revisiting them. This often gives you a traffic improvement without writing anything new.

Look at:

• Strategy: are you targeting bottom-of-funnel keywords, and does every article have a clear purpose?
• Blog topics: what do your best-performing pages have in common?
• Content: does it match search intent? Is it actionable? Are there gaps you can now cover, including AI search gaps?
• Optimization: do the title, H1, subheadings, URL, and alt tags include a target keyword? Are your internal links solid?
• Design: can readers find what they want easily? Is it mobile-friendly?

We recommend running a content audit roughly every six months. Freshness matters when the facts, pricing, or product details in an article have changed. Refreshing a stat, adding a section on AI search where it’s relevant, or fixing a broken internal link can be enough to bring an old page back to life.

Conclusion

That was a lot to take in.

At this point, you have two options. Study everything in this guide and test it yourself, or bring in a team that already lives in this work daily.

We’re a SaaS SEO and AI visibility agency. That’s not a rebrand for the sake of a new headline, it’s what our day-to-day work actually looks like now: keyword research alongside prompt research, backlinks alongside brand mentions, and Google rankings alongside AI citations. 

If you want a team handling all of it so you can stay focused on your product, book a free 30-minute call with us. We’ll walk through where your SaaS site stands today, on Google and in AI answers.

SaaS SEO: FAQs

What is SEO for SaaS?

SEO for SaaS means optimizing a software-as-a-service website to rank higher on Google, and appear in AI-generated answers, so more of the right customers can find you. It combines keyword research, content, on-page, off-page, and technical optimization.

How do I do SEO for a SaaS business?

• Research your product, competitors, and target audience
• Do keyword and prompt research
• Work on comprehensive website structure
• Create high-quality, expert-backed content, update it regularly
• Optimize on-page elements
• Build authority through backlinks and brand mentions
• Fix technical issues
• Measure results across Google and AI search, and update accordingly

How important is SEO for SaaS?

As a digital product, your SaaS company depends heavily on being findable, whether someone is searching Google or asking an AI assistant for a recommendation. If people search for tools like yours, alternatives to your competitors, or a fix for a problem your product solves, and can’t find you, you’re losing customers to whoever they find instead.

What is GEO, and do I need it alongside SEO?

GEO stands for generative engine optimization: making sure AI systems like ChatGPT, Claude, Gemini, and Perplexity can find and cite your brand when they answer a relevant question. You need both. SEO still drives the traffic you get from Google’s organic results, while GEO determines whether you show up in the answer someone gets when they ask an AI tool instead of typing a search query.

What’s the difference between SEO and GEO in practice?  

SEO helps your pages rank in search results. GEO helps your brand get mentioned in AI answers. The brands that get cited usually have helpful, specific content, strong authority, and consistent mentions across the web.

The post SaaS SEO Guide (2026): How We Rank Clients in Google and AI Search appeared first on Quoleady.

I often see teams paying for 15–20 different marketing tools while still struggling to publish consistently, rank in Google, or get mentioned in AI answers.

The opposite is usually true as well.

Some of the most successful SaaS content programs we’ve worked with run on surprisingly few tools.

Over the past six years, we’ve grown Quoleady into a SaaS-focused content marketing agency that has worked with more than 200 SaaS companies, from early-stage startups to established brands. Along the way, we’ve tested dozens of SEO, content, AI, project management, and distribution tools across hundreds of campaigns.

Some became part of our daily workflow. Others looked impressive in demos but never delivered enough value to justify another subscription.

This article covers the content marketing stack we actually use at Quoleady.

I’ve grouped the tools into four categories:

• Strategy & SEO
• Content creation & optimization
• Content management & distribution
• Video & multimedia

For each category, I’ll share what we use, why we use it, and when I’d choose an alternative.

1. Strategy & SEO Tools

Ahrefs

If we had to keep only one SEO tool, Ahrefs would probably be it.

We’ve used it for years across hundreds of SaaS campaigns, and it’s still the platform we rely on most for keyword research, competitor analysis, backlink audits, content gap analysis, and rank tracking.

When we’re building a content strategy for a client, Ahrefs is usually where the process starts. It helps us understand what topics competitors rank for, where backlink opportunities exist, and which content opportunities we’re missing.

Semrush

We don’t actively use Semrush in our day-to-day workflow, but it’s one of the strongest alternatives to Ahrefs.

Many teams prefer it because it combines SEO, PPC, advertising research, and competitive intelligence in one platform. If your responsibilities extend beyond SEO, Semrush is worth considering.

For our agency workflows, however, Ahrefs has remained the better fit.

Allmond

Allmond is our AI visibility tracking tool.

We built it because we wanted a simpler and more affordable way to monitor how brands appear in ChatGPT, Claude, Gemini, and Perplexity. While larger SEO platforms have started adding AI visibility features, we wanted something focused specifically on tracking brand mentions, competitor visibility, and AI search presence.

We use it internally to monitor how clients perform across AI platforms and identify opportunities to increase visibility.

Listicle Manager

If there’s one visibility tactic that’s become significantly more important over the last few years, it’s getting featured in third-party listicles.

We use Listicle Manager to identify relevant “best tools” articles, track where our clients are already featured, discover opportunities they’re missing, and manage outreach campaigns.

When we’re working with a SaaS company, one of the first things we look at is whether they’re present in the listicles that rank for their category and appear in AI-generated recommendations. In many cases, these articles influence buying decisions more than a company’s own blog.

Listicle Manager helps us find those opportunities faster and build a systematic outreach process around them.

HubSpot AEO

AI engines like Gemini, Perplexity, and ChatGPT have become huge. AI and traditional search optimization often go hand-in-hand and focusing on both search engine types can yield massive benefits. 

But their actual optimization practies differ: traditional keyword research turns into prompt research, while backlink analysis turn into citation analysis, for example. For that you’ll need specialized AI optimization tools. 

One such example is HubSpot AEO: it provides the features needed to measure visibility across AI engines, and create content that boosts AI citations or brand mentions.

2. AI Content Creation & Optimization Tools

ChatGPT

ChatGPT is one of the tools we use most often throughout the content creation process.

It’s particularly useful for research, brainstorming, finding content gaps, analyzing competitors, building outlines, and pressure-testing ideas before we start writing.

It can also help improve clarity, suggest alternative approaches, and speed up repetitive tasks that would otherwise take much longer manually.

We don’t use ChatGPT to generate entire articles and publish them as-is. Instead, we use it as a research and thinking assistant that helps our team work more efficiently.

Claude

If we had to choose one AI tool specifically for content work, Claude would probably be our pick.

We use it extensively during the editing process to improve structure, strengthen arguments, identify logical gaps, simplify complex sections, and improve the overall flow of an article.

It’s particularly good at working with long documents and maintaining context across large pieces of content.

Like ChatGPT, we don’t use Claude to write articles from scratch. The value comes from helping us research topics, challenge assumptions, refine ideas, and improve content that has already been created by our team.

SurferSEO

We use SurferSEO as a final optimization layer before publishing.

It helps us identify important topics, entities, and subtopics that may be missing from an article and provides a useful check before content goes live.

We don’t write for Surfer scores, but we do use the platform to make sure we’ve covered the topic comprehensively and aren’t overlooking important search intent elements.

Clearscope

We don’t actively use Clearscope, but it’s one of the strongest alternatives to SurferSEO.

Many larger content teams prefer it for its cleaner interface and content optimization recommendations. If you’re evaluating content optimization platforms, it’s worth comparing both before making a decision.

3. Content Operations

Creating content is one challenge.

Keeping content projects organized is another.

When you’re managing content calendars, briefs, drafts, reviews, approvals, client feedback, and publishing schedules, things can quickly become chaotic without a central system.

For us, that system is Notion.

Notion

Notion is the center of our content operation.

We use it for editorial calendars, content briefs, client documentation, SOPs, content workflows, and project management.

Every article starts in Notion. Writers, editors, project managers, and clients work from the same workspace, making it easier to track progress and keep projects moving.

One reason we like Notion is its flexibility. We’ve built custom workflows for content production, client onboarding, link building, AI visibility projects, and internal knowledge management without needing multiple tools.

If you’re building a content program from scratch, Notion is one of the first tools I’d recommend.

4. Visual Content & Content Repurposing

Text-only content is becoming harder to distribute.

A blog post can often become a LinkedIn carousel, infographic, social media post, or visual summary that reaches a completely different audience.

These are the tools we use most often for creating visual content.

ChatGPT (again!)

This might be the newest addition to our visual content workflow.

We use ChatGPT to turn articles into infographics, LinkedIn carousel drafts, diagrams, charts, and custom illustrations.

What previously required multiple tools and a designer can now often be done in a single workflow.

For content marketers, this is one of the biggest productivity improvements we’ve seen in recent years.

Canva

Canva is still one of the easiest ways to create social media graphics, presentations, simple infographics, and marketing visuals.

While we’re increasingly using ChatGPT for image generation, Canva remains useful when we need quick edits, branded templates, presentations, or assets that require more manual control.

Figma

For more advanced visual projects, custom diagrams, or assets that require a designer, Figma is still the standard.

We use it less frequently than Canva or ChatGPT, but it’s a great option when a project requires a higher level of customization.

5. AI Automation & Custom Workflows

One of the biggest changes in content marketing over the last few years isn’t AI writing.

It’s the ability to build your own tools.

Instead of forcing our processes into existing software, we’re increasingly creating small internal tools that solve very specific problems.

The platform we use most for that is Lovable.

Lovable

Lovable allows us to build internal marketing tools without a dedicated development team.

We’ve used it to create a variety of custom workflows that save our team hours every week.

For example, we’ve built:

• A LinkedIn carousel generator that turns content into branded carousel slides
• SEO audit tools that combine DataForSEO, Firecrawl, and AI models to analyze websites
• Link monitoring tools that automatically check whether acquired backlinks are still live
• Internal research and content analysis tools tailored to our SEO and AI visibility workflows

The biggest advantage is flexibility.

Most SaaS tools are designed for thousands of companies with different needs. Lovable allows us to build something specifically for our own processes.

As AI becomes a bigger part of content marketing, I believe more teams will move in this direction. Instead of buying another subscription, they’ll create lightweight internal tools that automate repetitive tasks and fit their workflow exactly.

Other Tools Worth Considering

The tools above make up most of our day-to-day workflow. Depending on your goals, team size, and content strategy, these tools can also be valuable additions to your stack.

Grammarly

We run most content through Grammarly before publishing. It’s a simple way to catch grammar issues, improve clarity, and maintain consistency across multiple writers.

RoundupHero

RoundupHero helps marketers collect expert insights and create expert roundup content at scale. We use it when creating articles that benefit from outside perspectives and industry expertise.

BuzzStream

A popular outreach platform for managing link building and digital PR campaigns. Useful for teams running larger-scale outreach programs and managing hundreds of relationships.

Respona

Respona combines prospecting and outreach in a single platform. It can help you discover relevant websites, find contacts, and manage outreach campaigns without switching between multiple tools.

Qwoted

Qwoted connects journalists with subject matter experts. It’s a useful way for founders and marketing teams to earn media mentions, expert quotes, and brand visibility.

Featured

Featured helps experts contribute insights to articles, blogs, and publications looking for source material. It’s one of the easier ways to build authority and earn third-party mentions.

Muck Rack

Muck Rack is designed for teams running a more structured digital PR program. It helps identify journalists, monitor media coverage, and manage media relationships at scale.

Perplexity

We often use Perplexity during the research stage. Because it pulls information from live web sources and provides citations, it’s useful for validating information and finding recent industry developments.

Our Actual Content Marketing Stack at Quoleady

People often ask which tools we actually use.

While we’ve tested dozens of platforms over the years, these are the tools that make up most of our workflow today.

Research, SEO & Visibility

• Ahrefs
• Allmond
• Listicle Manager

Content Creation & Optimization

• ChatGPT
• Claude
• SurferSEO

Content Operations

• Notion

AI Automation & Internal Tools

• Lovable

Quality Assurance

• Grammarly

We use additional tools depending on the project, but if we were starting from scratch today, this is the stack we’d build again.

Final Thoughts

Over the past six years, we’ve tested dozens of tools while helping more than 200 SaaS companies grow through content marketing, SEO, and AI visibility.

The stack has changed many times. Some tools became industry favorites and disappeared from our workflow a few months later. Others have remained part of our process for years.

The tools in this article are the ones we continue to use because they’ve proven useful across hundreds of content projects and client engagements.

That doesn’t mean you need every tool on this list.

Start with the tools that solve your biggest bottlenecks today, build a workflow your team can follow consistently, and expand your stack as your content program grows.

Want a second opinion on your content stack?

If you’d like to discuss your content marketing tool stack, AI visibility, SEO performance, or overall organic growth strategy, feel free to reach out.

You can connect with me on LinkedIn or book a call here:

The post SaaS Content Marketing Tools We Actually Use in 2026 appeared first on Quoleady.

I’ve been saying this for years – the goal is not only to get traffic, the goal is to get actual high-quality leads that translate into revenue and that’s what we do for our clients at Quoleady (if this sounds ChatGPT to you – it’s not, I wrote this line back in 2022).

We helped RingBlaze go from 0 to 50K visits and 0 to 650 leads with only 20 articles, 500 leads with 16 articles for FullSession, 876 leads with 24 articles for PassKit, +47% booked meeting for Legal Nodes and many more. That’s the kind of results we’re after.

For years, we experimented with different SaaS SEO strategies until we found the one that really moves the needle – High-intent content marketing strategy.

In this article, I want to share the best SaaS SEO practices that will help you rank high on search engines. SEO success today correlates with AI visibility, so the more you work on your SEO, the more clients from ChatGPT and other LLMs you’ll have knocking on your door.

This guide can help you whether you want to work on a SaaS SEO audit of your web page or you’re just getting into creating your SaaS SEO strategy.

You’ll find a detailed SaaS SEO checklist below, but let’s get first things first.

What is SaaS SEO?

A good SaaS SEO strategy is one that finds the balance between:

• ranking high on Google for relevant keywords
• creating content your target audience actually wants to read
• turning that traffic into qualified leads and customers

As a SaaS SEO agency, we found that some of the strongest results usually come from focusing on high-intent keywords.

These are the searches people make when they’re already comparing tools, looking for alternatives, checking pricing, or evaluating different solutions before making a purchase.

You’ve probably searches this at some point as well:

• “[Competitor] alternatives”
• “[Competitor A] vs [Competitor B]”
• “Best [category] software”
• “[Software] pricing”

These keywords work well because the person searching is often much closer to buying than someone reading educational top-of-the-funnel blog content.

That’s exactly the angle we used for our client FullSession, a web analytics software company. We focused on competitor-related keywords around Hotjar and positioned FullSession as a top result for searches like “Hotjar alternatives” and comparison terms related to competing tools.

This campaign helped FullSession generate more than 21,000 visits and 500 leads in just four months. If you want to see the exact approach we used, you can read the full case study.

Why do you need to optimize your SaaS blog for SEO?

While your content marketing strategy could include various channels, at Quoleady we believe that your SaaS website and blog should be the core of your strategy. Here’s why:

• It boosts visibility. The main goal of search engine optimization is to boost your visibility on Google and get you more traffic. Yes, some SaaS companies turn to paid traffic as a quicker solution, but organic results are more trustworthy than paid ads and they have a better ROI in the long run.
• It helps you build brand name and trust. SEO content helps you establish your SaaS company as an industry expert and a trustworthy source of information. Just imagine if every time someone googled something related to your industry, one of your articles appeared as one of the first results and solved their problem. With time, you could become a leader and authority in your industry, which would get you more clients.
• Evergreen content. Once you create content for your blog, it can bring you new leads for months and even years. Of course, you have to update it with relevant information, but that’s still easier than producing new content all the time.
• AI search. There’s been a lot of research showing that AI tools pull information from pages ranking in Google’s top results. For example, Perplexity used Google top 10 results in 91% of answers, so usually the higher you rank on Google, the better your chances of showing up in AI search too.

SaaS SEO Checklist (Prioritized for 2026)

I’m sharing the checklist that’s based on 15 years of my exprience in SaaS SEO industry. I prioritized it and sorted from the most important to less influential.

1. Content freshness and value

This is probably the most important part of SaaS SEO today.

A lot of companies keep publishing new content while their old articles grow old and outdated. In many cases, updating and improving existing pages brings much faster results than writing another 30 generic blog posts.

It’s the first thing we do at Quoleady when working with an established SaaS company. We ask:

• Is this article still accurate?
• Are the screenshots outdated?
• Did competitors launch new features?
• Did pricing change?
• Are the examples still relevant?
• Does the article still answer the search intent properly?
• Would someone actually bookmark or share this page?
• Are we bringing anything new to the table or recycling the same content everyone else already wrote?

If you already have 10 strong lead-generation articles, it often makes more sense to continuously improve them instead of publishing 50 average-quality posts with not-so-clear intent.

I’d especially recommend updating:

• alternatives pages
• comparison pages
• “best tools” listicles
• pricing-related pages
• use case pages
• feature pages

At minimum, review your important BOFU pages every 6 months. In fast-moving industries, even more often. We’ve seen lots of competitive niches where marketers put a specific month at the end of the title to indicate it was reviewed recently, for example: “Top 10 LinkedIn automation tools as of June 2026”

This graph is an example of how traffic and impressions behave once you’ve updated the content on your blog (data for one of our clients – Bettermode after we’ve updated their blog pages).

2. Cover your product from every angle

A lot of SaaS companies rely too heavily on blogs.

A couple of years ago, that worked much better. Today, both Google and AI tools expect much deeper website coverage around your product and category.

Make sure you have:

• feature landing pages
• use case pages
• industry pages
• alternatives pages
• comparison pages
• integration pages
• templates
• workflows
• FAQs
• pricing-related content
• customer stories

The more use cases and customer problems you cover, the higher the probability that your pages match the kinds of prompts and questions people ask in ChatGPT, Perplexity, Gemini, and Google.

I like to show example of Pandadoc’s landing pages ecosystem – a client we’ve worked with. Every menu tab is a carefully designed and very well-organized hub of pages: Features, Solutions, Comparisons (vs pages), Integrations, etc. if you don’t know where to start, visit their homepage for site-structure inspiration.

3. AI search optimization

We’ve asked 10+ GEO experts about AI visibility and the thought they all share was: “There’s no magic trick to suddenly appear in ChatGPT or Claude answer”. AI visibiltiy involves a lot of work around building your brand – trust, authority and visibility. And that includes a lot of SEO work.

I also ran an experiment the other day with Lovable. I created a dummy homepage for our Quoleady website and asked it to optimize it for AI search. Everything it added afterwards was the basic SEO on-page optimization including robots.txt, structured data, meta titles, etc. Nothing new except the LLMs.txt file which many experts I’ve interviewed have found useless.

What actually helps is:

• covering more specific use cases
• answering customer questions
• adding experience-based insights
• keeping pages updated
• building strong visibility outside your own website (including sources LLMs use to generate their answers)

AI tools are much more context-driven than traditional search. People describe their exact situation and expect specific answers.

That’s why SaaS companies should think less about “keywords only” and more about:

• situations
• workflows
• industries
• pain points
• alternatives
• comparisons
• jobs-to-be-done

4. Visibility on third-party websites and listicles

This is one of the biggest SEO and AI visibility opportunities for SaaS companies today.

When someone searches:

• “best CRM software”
• “best proposal management tools”
• “Hotjar alternatives”
• “top AI SEO tools”

…the search results are often dominated by listicles and review articles.

AI tools also often pull information from these pages when generating recommendations.

That’s why you shouldn’t only focus on ranking your own website. You should also work on getting your product featured in the pages already ranking.

Check:

• which listicles rank for your target keywords
• which competitors are mentioned there
• whether your product appears
• whether the information about your brand is outdated
• whether the article gets real traffic
• whether AI tools cite that page

We use Listicle Manager to track ranking listicles, organize opportunities, and manage outreach.

We’ve found that there’s a straightforward correlation between the listicle mention score and your AI visibility score. Just look at this data for PandaDoc – the pattern is basically repeated on both graphs:

5. AI citations and brand mentions

For AI search, mentions are becoming extremely important.

Backlinks still matter a lot for SEO, but AI tools also rely on:

• brand mentions
• citations
• reviews
• discussions
• comparisons
• recommendations across third-party websites

Sometimes your brand doesn’t even need a backlink to show up in AI answer.

When I’m checking the AI visibiltiy opportunities for clients I look into:

• which sources LLMs cite for questions in the client’s industry
• whether client’s brand appears there
• how competitors are positioned
• whether the information is accurate and updated
• how consistent is the client’s brand mention across the web sources

If your competitors keep appearing in the sources AI tools trust while your brand is missing, that directly affects visibility. In order to find the list of sources that different LLMs cite, we use Allmond.app. It shows the sources that are being cited the most, sources where you are mentioned, sources where competitors are mentioned as well as showing you which sources are listicle articles so you can easily find those and outreach asking for your brand inclusion.

6. High-intent content over traffic vanity metrics

Traffic alone means very little if it doesn’t generate pipeline.

Some of the best SaaS SEO pages are:

• competitor alternatives
• competitor comparisons
• “best software” keywords
• pricing-related pages
• integration pages
• workflow pages

These pages often bring much fewer visits than informational TOFU content, but the conversion intent is significantly higher.

I’d rather have:

• 5,000 visitors searching for solutions
  than
• 100,000 visitors reading broad educational content

Another thing worth mentioning is TOFU vs BOFU situation in 2026. As you’ve noticed, Google AI Overviews are now answering pretty much any top-of-the-funnel query and the user doesn’t need to click through the blue links. We’ve focused on BOFU content for years and now, in many industries, BOFU content is becoming one of the few content types where organic search traffic still translates into revenue.

7. Internal linking and topical authority

If the previous section made you think you should stop creating TOFU content completely, I’m here to stop you from making that mistake. Your articles shouldn’t exist as isolated pages. Imagine going to a blog where every post is “Competitor X alternatives” and “Competitor X vs Y” blogs. The blog should reflect your expertise. Work on the educational content but work on it adding your expertise, unique opinion, angle, perspective.

If it’s article #20,030 covering the same keyword, generated with ChatGPT and recycling what’s already been published a hundred times before, what’s the actual value of it?

You’ll quickly notice that content like that disappears from search results faster than it was published.

Connect related content together through:

• content clusters
• pillar pages
• supporting articles
• related use cases
• comparison pages
• feature pages

This helps both search engines and AI systems better understand your expertise around a topic.

8. Technical SEO (important, but not the first priority)

Katelyn from “LaunchTheDamnThing” is a freelancer running a small website that outperoms industry giants for lead gen keywords like “client’s portal software”. Her website is full of technical issues, her website loading speed is very poor but she still ranks number one.

Technical SEO still matters, but many SaaS companies overestimate how important it is compared to content quality and positioning.

I’ve seen many other examples of relatively slow, imperfect websites outranking large competitors simply because the content was:

• experience-based
• useful
• approachable
• specific
• written by someone who actually understands the problem

That said, you should still check:

• page speed
• mobile usability
• indexing issues
• broken links
• crawlability
• Core Web Vitals
• URL structure
• sitemap and robots.txt
• structured data

Technical SEO creates a strong foundation, but content quality and market relevance are usually what move rankings for SaaS businesses.

Turn SEO into a long-term growth channel for your SaaS

I hope that this article helped you answer your questions and that you will use these SaaS SEO tips on your blog.

To sum it up, I’d focus less on publishing huge amounts of content and more on creating pages that actually help potential buyers make decisions. I’d start with high-intent keywords, make sure the content stays fresh and updated, cover different use cases and customer problems, and work on getting your brand mentioned in relevant third-party websites and sources that Google and LLMs already trust.

Technical SEO still matters, but in my experience, strong positioning, experience-based content, and visibility across the web usually move the needle much more for SaaS companies.

I know that it may seem like a lot, especially for smaller SaaS businesses that may not have a whole SEO team at their disposal. That’s why we’re here to help!

If you need a hand with SaaS SEO strategy and content creation, you’re in the right place. We can help you start generating revenue through your website like we helped many SaaS companies. Book a free call and let’s talk!

As always, feel free to reach out to me on LinkedIn if you have any questions.

The post Optimizing SaaS Website for SEO: Expert Insights [2026] appeared first on Quoleady.

If you’ve chosen the second option, you’re in the right place because that’s exactly what we focus on when creating content for our clients.

In this article, I’ll share a SaaS content marketing strategyI’ve developed years ago where it all started with keyword research. Now, it extends into how those same keywords translate into AI search. Because the buyers who used to Google ‘[competitor] alternatives’are now asking ChatGPT similar questions.

Since then, we’ve used this specific type of keywords for numerous SaaS clients, and it worked like magic every time.

Get ready because it might be time to include new keywords in your SaaS content productionand after reading this article you’ll know exactly what you need to do next.

What are “alternative” keywords?

Alternative keywords are search queries that consist of two words: “name of your competitor + alternative”. You can generate many potential keywords, depending on the size of your industry and how many competitors you have.

Now, why would anyone want to rank for their competitors’ keywords? Let me explain.

Imagine you’re a new SaaS brand in the email marketing industry. You could use your brand’s name as your main keyword, but if you’re new, I doubt it has a reasonable search volume.

No one is googling your name because they’re not aware that your company exists.

Keywords related to your biggest competitors such as Mailchimp or MailerLite probably have higher search volumes. That shouldn’t discourage you from trying to rank on Google.

Instead, you can use their branded queries with high search volume to your advantage. Open a keyword tool to see how many people are searching for “Mailchimp alternatives” or “ActiveCampaign alternatives” (or any other relevant keywords in your industry).

If you discover that those keywords have a reasonable monthly search volume, that’s great news for you. I’ll explain how you can use them to your advantage.

Why do you need to use “alternative” keywords in your SEO strategy?

Alternative keywords are one of the quickest ways to reach people at the bottom of the sales funnel, who are ready to purchase.

When doing keyword research, most people focus on keywords with the highest search volume.

At Quoleady, we do keyword research a bit differently.

We aim for a perfect combination of search volume, keyword difficulty and intent – search intent being the most important factor to us.

We want to find keywords with a high-purchasing intent showing that a person is ready to buy your product. Naturally, those keywords end up having a high conversion rate and here’s why.

If you’re looking for an alternative to a certain tool, it probably means you’re not satisfied with the tool you’re currently using or it doesn’t work for you for some reason.

The goal of this keyword strategy is to get your product in front of those people. Another benefit is that this strategy often allows you to skip the whole lead nurturing process as you’re targeting people who are actually ready to buy.

That’s why you definitely need to include these keywords in your Google keyword planner or other keyword tools you use.

But this is just one part of our high-intent content strategy. I’ll cover more content ideas further in the article.

Why should you focus on “alternative” prompts for AI search?

Buyers who used to Google “Mailchimp alternatives” are now opening ChatGPT or Perplexity and typing: “What’s a good alternative to Mailchimp for a small e-commerce team?”

This shows the same intent but on a different channel.

Tim Sanders, Chief Innovation Officer at G2, put it well in G2’s 2026 research of 1,076 B2B decision-makers: “The Yellow Pages compressed the market into the big book. Google compressed it into the first page of results. Now, AI chatbots are compressing it into a single answer. Buyers have moved from reference to inference.”

Your buyer used to visit five different sites and build their own shortlist. Now they ask one AI tool and get a list of tools personalized to them. 

The same research found that 51% of software buyers now begin their research with an AI chatbot more often than with Google. This is an increase from just 29% in April 2025, and 69% of buyers chose a different software vendor than they initially planned, based on what an AI tool told them.

So the buyer who had never heard of you can end up purchasing your product because an AI mentioned you in an alternatives list.

This is where GEO comes in. GEO (Generative Engine Optimization) is the practice of making sure your content gets picked up and cited when AI tools answer questions in your category.

What does an “alternative prompt” look like?

When someone types a traditional alternative keyword into Google, it’s usually short like “HubSpot alternatives,” “Notion alternatives.” When someone asks an AI tool the same thing, the prompt is longer and more specific. It sounds like a real question, because it is one.

Here are some examples of how it’s different:

AI prompts usually contain much more context. Buyers describe their exact situation and expect recommendations tailored to their needs. That’s why content that answers specific use cases, comparisons, problems, and scenarios tends to perform better in AI search.

How to optimize your alternative content for AI answers

If you’ve already written a solid “best alternatives to [competitor]” article, you’re already partway there. Content that ranks on Google can get cited in AI answers as well. But you need to structure it in the right way so AI tools can extract a clear, trustworthy answer from. 

Here’s what works for us and for our clients

1. Do what you’ve done for SEO. In my experience, there’s little difference between optimizing content for search engines and optimizing it for AI answers. Everything that you’ve been working on before: skimmable text, short readable paragraphs, title, H1/H2/H3 structure, schema, FAQ – it all works for AI bots visiting your website.
2. Answer the search intent as soon as possible. Get to the point. Don’t write essay-long intros with your insights buried deep in the article. Are we sure the reader will find the “Why look for ClickUp alternative” and “What’s ClickUp?” sections useful? They’ve already typed “ClickUp alternatives”, maybe they know a thing or two about the tool if they are looking to replace it, we just need to give them what they are looking for. Always put yourself in the shoes of your potential customers and cater to their intent.
3. Provide a unique perspective. The key to success has always been the same – quality content. No matter how many times marketers have tried to game or hack the system, the rewards are still given to those who focus on quality. So if you are going to write the “pros”, “cons”, “pricing” type of alternatives article that’s been already published 100+ times, what value are you bringing to the table? Always add something new – opinion,  perspective, experience. There’s enough shallow roundups out there and you definitely don’t need to create another one.
4. Add some context. In “alternative” articles especially, it’s important to explain who the tool is for, what kind of company it fits best, and which problems it solves. For example, if your tool is built for enterprise marketing teams that need advanced reporting, multi-user permissions, and approval workflows for stakeholders, say that clearly. If you don’t mention these details in your content, AI tools have very little context to understand when your product should be recommended.

We’ve been using this approach with our clients since AI-referred traffic became measurable, and we keep seeing the same pattern in the results.

For Legal Nodes, a legal operations platform, we focused on getting the right content structured for Google and AI answers. In three months, they saw a 47.5% increase in booked meetings and landed top 5 placements in AI-generated answers for their target category.

Five of the eleven published articles appeared in Google’s AI Overviews within seven days. LLM sessions grew by 25.9%, while key conversion events increased by 19.4%. Also, seven keywords ranked in the top five on Perplexity within a week of publication.

Our strategy was to create content that was specific, structured, and answered buyer questions. This included alternatives and comparisons content.

Which businesses can benefit from alternative keywords and prompts

We came up with this strategy for our SaaS clients, and it’s worked in different industries: from marketing automation apps to virtual phone systems.

But this strategy can also work for other product-based businesses, no matter whether you sell a physical product or a digital product.

It works especially well in these two cases:

1. If your industry is dominated by one or two big names. A lot of people use their products but there are also a lot of people who are not satisfied with the mainstream product and want to find something different.
2. If you offer a cheaper alternative to some popular high-end products. In some industries, like the beauty industry or personal goods, there are often some popular high-end brands. On the other hand, there are also people who want a similar product, but at a lower price.

My alternative keywords story

Here’s how I came up with a high-intent keywords based strategy.

Back in the days when I was working as a CMO at Chanty, we started our marketing efforts from scratch and we had to develop our pre-launch strategy.

Inspired by GrooveHQ’s blog success, I decided to place a bet on content marketing.

To be clear, I had no background in creating articles or doing content marketing since I was previously employed as a technical SEO specialist.

So we started reading and learning and testing things for Chanty.

We had to determine our positioning and messaging and I was digging through Ahrefs trying to find which keyword would better describe us as a tool – team chat, group messaging tool, team communication app or something else?

Then I came across the keyword “Slack alternatives” and it hit me – this is what people who are unhappy with Slack are looking for.

They are literally ready to pay us at this stage of their buyer journey.

I looked up the keyword difficulty score and it wasn’t very high unlike many popular keywords like “team collaboration tools”.

So we wrote an article about it. It was super detailed, contained tons of value, showcased our team’s experience when testing tools and even had a voting poll – which Slack alternative we liked better.

Of course, Chanty was #1 on that list. By that time our app was about 10% ready. We couldn’t show our potential users the actual app. But we could convince our readers it would be worth their time and money when we launch it.

So instead of collecting product sign ups, we collected beta testers. The conversion rate was around 10% which is, I understand now, huge. By the time the app was actually launched, we had thousands of users eager to test it.

Overwhelmed with this success we kept on writing other blogs, reviewing alternatives of other competitors, writing tool comparison articles and so on.

Yet that one single article has been a game changer for the whole business. It works up until now even though I’m not with the company for 3+ years.

Other high-intent keywords you should know about

Of course, you can experiment with other keywords and see what works best for you. Here are some keyword suggestions that also convert well:

1. Listicles

Listicles are another type of content that is great for lead generation. It also allows you to position your SaaS next to the most famous apps in your industry.

However, it’s not enough to simply list your tool and 9 other tools and call it a day. The competition is crazy and you really have to put in a lot of effort and deliver more value than other articles.

You can put your tool #1 on the list but you should stay unbiased and shouldn’t put your competitor in a negative light. Instead, you can explain who can benefit the most from which tool and focus on some features that your tool has and other tools are lacking.

Here’s an example of a listicle we wrote for our client Expandi that ranks #1 on Google for “top Linkedin automation tools for lead generation”.

2. Comparisons (vs keywords)

If people can’t decide between two tools, you can create a detailed guide where you compare their features, pros and cons, whether there is a free version, and so on. Then, mention your tool and explain who can benefit the most from it.

Here are some of the keywords we used for our client FullSession, analytics software:

• HotJar vs Microsoft Clarity
• MixPanel vs Google Analytics
• HotJar vs Lucky Orange

3. Review

People near the bottom of the sales funnel are often looking for reviews to help them make the final decision on which software to purchase.

You may think that there’s no point in writing reviews because search engines already have hundreds of reviews from platforms like Capterra and G2.

Although user-generated reviews might be genuine, they often fail to compare all the features and that’s why people are looking for more detailed feedback.

Here are some keyword ideas from the articles we wrote for our client RingBlaze:

• GoToConnect review
• Basic Talk review
• Zadarma review

4. Pricing

Conduct keyword research to find out whether there are enough people looking for your competitors’ product price.

Beware that you won’t get as much traffic as Ahrefs promises as most of those people will end up on the Pricing page of your competitor. That’s what best answers their intent.

But you can try to lead some of that traffic to your website using the following tactic. You should come up with a catchy title, like: “Mailchimp pricing – how to pay less for email marketing automation?” where you can talk about Mailchimp pricing and pitch your tool as well, if it’s less expensive.

People who are comparing prices of different tools are usually at the bottom of the sales funnel and ready to buy. If they find a good deal, they could easily change their mind and purchase other software than the one they originally wanted.

Of course, I’m not saying that lower pricing should be the only thing that differentiates you from a competitor. We don’t want to attract people who are always looking for a better deal, because they can quickly switch over when a new, less expensive tool appears.

Instead, try to position your SaaS product as a better value for money, explaining which pains it solves for the users.

Let’s say you’re a new keyword research tool. You could try to rank for the following keywords:

• Ahrefs pricing
• SemRush pricing
• Google keyword planner pricing

And then use the rest of the article to explain what makes your keyword tool a better solution whether it’s ease of use, some advanced features or a better value for money.

5. How-to articles

How-to articles could easily be the most popular form of product-led content. The idea is to show people how they can solve a problem using your SaaS product.

You can use Google suggest or other keyword research tools to find the most common queries and discover keyword ideas and then create a series of articles answering them.

To illustrate this, here are a couple of keyword ideas we covered for our client PandaDoc, a business proposal software:

• How to write a business proposal
• How to write an NDA
• How to terminate a contract

As a SaaS content strategist, I usually advise combining different types of content to see what works best for your business. Check out our B2B SaaS blog writing tips for more help.

Getting your SaaS into listicles that already rank

Writing your own “best alternatives to [competitor]” article is great. But there are dozens of other articles that already rank on Google page one for the same keywords. And your product probably isn’t featured in most of them.

Think about it from the buyer’s perspective. They search “best Expandi alternatives,” click the first result they see, and scroll through a list of eight tools. If your SaaS isn’t on those lists, your tool doesn’t exist at that moment. It doesn’t matter how good your product is.

That’s why visibility in high-ranking listicles matters so much. These articles influence not only buyers, but increasingly AI assistants as well. ChatGPT, Claude, and Perplexity regularly pull recommendations from the same pages already ranking well in Google.

Getting featured there takes much more manual work than most people expect. You need to find the right articles, identify the right contacts, personalize outreach, negotiate placements or exchanges, follow up consistently, and keep track of conversations across dozens of websites.

Our process usually starts with identifying the listicles already ranking for the keywords we want to influence. Then we prioritize the strongest opportunities, reach out to editors and site owners, and work on getting our clients featured in the pages already showing up in Google results and AI citations.

To save hours on the research and outreach side of this process, we use Listicle Manager, a tool that helps us find relevant listicles and contact information more efficiently.

Using this approach, we’ve helped clients get featured in multiple high-ranking articles, including 12 listicles for one client, with placements on sites like Monday.com.

A lot of SaaS companies invest heavily in creating great content on their own sites but still struggle to become visible in category conversations. Ranking your own article can take months, while getting featured in an article that already ranks well can sometimes help you get visibility much faster.

Get into the listicles AI tools pull information from

When someone asks ChatGPT, ‘What are the best alternatives to [competitor]?’, the answer often comes from the same high-ranking listicles and comparison articles you already see ranking on Google.

So listicle outreach gives you two wins at the same time. If your SaaS gets featured in a strong “best alternatives to [competitor]” article, you can increase your visibility in Google search and improve your chances of being mentioned in AI-generated answers too.

The next step is figuring out which listicles AI tools are actually citing in your niche. That’s where Allmond helps. It is an AI visibility tracker that shows you how your brand appears in ChatGPT, Claude, and Gemini. It also shows you the citations – URLs that LLMs are pulling answers from. 

Once you know which third-party articles are showing up in AI answers for your target prompts, you can prioritize the listicles that matter most.

Instead of guessing which outreach targets will improve AI visibility, you’re working from real data. Find the cited sources, get your SaaS added, and strengthen both SEO and AI search visibility at the same time. We’ve experimented a lot including this quick PandaDoc analysis – it’s a proven fact that there’s a direct correlation between your AI visibility and your listicle mention score.

Our alternative keywords and prompts process for our clients

When I ask clients about their big competitors and they mention someone well-known, I get thrilled as I know there’s a lot of potential there. Here’s the exact process we use for our clients:

1. We list all their competitors.

2. We generate high-intent keywords including alternatives. Feel free to use this competitor keywords template I’ve built, just copy this document and replace Competitor 1,2,3, etc fields with your competitors. 

3. We look up those keywords on Ahrefs (but you can use any other keyword analysis tool you want, even some free keyword tools could be helpful up to a certain extent).

4. Then, we prioritize the keywords depending on the keyword difficulty score, search volume and of course intent. I highly advise you to focus on search intent, although it may sound counterintuitive if you’re new to keyword research. For example, 10 searches per month for an alternative keyword is better than 30 searches per month for “vs keyword”. At the same time if your SaaS is $5 per month and LTV at $25 per customer, focusing on volume that’s so low won’t make economical sense.

5. For GEO, open ChatGPT and/or Claude (or use Allmond.app to save time) and type ‘What are the best alternatives to [competitor name] for a [your target customer]?’. For example, ‘What are the best alternatives to HotJar for a small SaaS team?’ See which tools come up in the answer and which sources get cited. If a competitor is showing up there and you’re not, that’s a gap you need to close.

6. Outline a content publication calendar and decide what content is going to be published and when. This will help you with consistency which creates a compound effect over time. (You can use Google trends for inspiration as well as questions your potential customers ask to get some content ideas). There are also a lot of free tools for content planning, check out Google keyword planner alternatives.

7. Start writing great articles that outperform the top search results. The best approach is to give a detailed and unbiased review of each tool and provide value and help to your readers. Check out these articles for more tips on SaaS content writing and optimizing your blog for SEO.

8. Publish articles but don’t forget to work on internal linking and building backlinks and mentions to your SaaS blog if you want your content to rank on search engines. (Check out this guide on how to choose websites for SaaS link-building).

9. Update older articles regularly. If you don’t know where to start, it might be a good idea to work on a SaaS content audit first.

I shared what works for us, and now it’ll be fair to share what doesn’t work as well. Check out this article and discover the most common SaaS content marketing mistakes to avoid.

Alternative keywords: the real results of our clients

Here are two examples of how our clients ranked in organic search using the exact same strategy I shared with you.

FullSession

FullSession is a web analytics software founded in 2020. When we started working with them, their website had a really low domain authority so it was impossible to rank for a big keyword like “web analytics software”.

That’s why we decided to go with an alternative approach. Their main competitor is HotJar, so we used a keyword tool to see if people were searching for HotJar alternatives. The answer was positive so we wrote an article about top 5 HotJar alternatives that helped them rank #1 on Google search for keyword “HotJar alternatives”.

Here’s what happened after just a few months:

• Their website traffic went from 0 to over 21.000 visits.
• They got 1180 qualified leads.
• Their domain rating went from 0 to 49.

Of course, we wrote some other articles, like comparisons and product-led articles, but “HotJar alternatives” was the one that brought the most leads. You can read the full case study here.

RingBlaze

RingBlaze is a virtual phone system – as you may know, it’s a pretty competitive industry, so when we first started working with them we had them write a list of all their competitors.

We used that data to create our keyword list and we proceeded to write a series of articles covering competitors’ alternatives and comparisons.

Of course, we made sure that the articles were more detailed and more helpful than those already ranking for those keyword phrases.

We put RingBlaze as #1 alternative but we kept the articles unbiased and mentioned the benefits of other tools as well.

Here’s what happened after just a few months:

• Their website traffic went from 0 to 50.000.
• They got 650 qualified leads.
• Their domain authority went from 8 to 30.

You can read the full case study here.

Summary

Finding keywords that can help you rank on the first page of Google is much easier when you have a few tricks up your sleeve. And those same tricks now extend beyond Google. The buyers you want to reach are typing similar (just more detailed) questions into ChatGPT, or Claude. So the content you build around alternative keywords is what gets cited in those answers.

For example, if you have email marketing software, try using keywords like “Mailchimp alternatives”, or any other popular tool in your industry.

That way, you’re targeting people with a high-purchasing intent, people who are not satisfied with the solution they’re currently using and want to switch to another SaaS.

But that’s just the first step. Keyword research alone won’t drive conversions. Once you’ve identified the right keywords, the next challenge is turning them into helpful content that helps buyers choose your product.

We are covering the content writing process, the Do’s and Don’ts in our SaaS Content Writing Guide that you are more than welcome to read.

And if you’d rather skip the learning curve and get an outside perspective on your SaaS, feel free to book a free strategy call with us.

Feel free to reach out to me on Linkedin if you have any questions.

The post Alternative Keywords & Prompts: Boost Your SaaS Blog ROI appeared first on Quoleady.

You’d find keywords your buyers search for. You’d write articles around them. Build some links. Wait for the traffic to grow. And to a large extent, it still works. But the way people research software changed really fast.

A few years ago, someone might search Google for “best employee onboarding software” and open ten different blog posts comparing tools. Now they open ChatGPT and ask:

“What’s the best onboarding platform for a remote company with a lot of contractors and compliance requirements?”

That changes what good SaaS content needs to look like.

Google changed too. A lot of searches now get answered directly inside search results before someone even clicks a website. So even if your rankings stay stable, the traffic doesn’t always follow. Which means SaaS content writing has a bigger job now than just ranking articles.

Your content needs to explain complex products in simple language. It needs to earn trust quickly. It needs to work for someone skimming at 11 PM before a demo call. And it also needs to be visible for LLMs.

A lot of the old advice still works. You still need to find the right keywords, create genuinely helpful content, and have strong distribution.

But if you’re writing SaaS content in 2026, you also have to think about how buyers actually discover software now, because more and more of those journeys start inside AI tools instead of traditional search.

So before we get into tactics, let’s talk about what actually makes SaaS content writing different from every other type of content on the internet.

What makes B2B SaaS content different

With B2B SaaS content, you’re selling something intangible (software), to multiple people at once, on a timeline that can stretch months, with a product that changes constantly.

That’s a very different challenge than writing a product description for a physical item or a how-to post for a single reader with a simple problem.

A few things that make SaaS content specifically hard are:

You’re writing for three different people at once.

When we started working with RingBlaze, a business phone system for sales and support teams, their biggest challenge was producing content that served all the people involved in a buying decision. This ranged from the founder approving the purchase to the sales manager using the product daily, and the IT person worried about whether it would integrate with their existing stack. That’s why none of their articles on the blog bring any traffic or leads. Each of those readers needed a different angle, a different level of technical depth, a different answer to “why does this matter to me?” 

That challenge is pretty common in B2B SaaS. Your content has to speak to multiple roles without feeling generic to any of them.

You can’t demo the product in an article.

Software is harder to explain than physical products because buyers usually need to experience it before fully understanding the value. Your content carries the entire job of making an abstract product feel real. That’s why screenshots, product walkthroughs, and concrete use cases are important in SaaS content. These things separate content that converts from content that informs.

Acquisition content and retention content are equally important.

Most SaaS content strategies focus almost entirely on bringing in new users. But for a subscription business, the readers who’ve already signed up matter too. Content that helps customers get more value from your product reduces churn, increases expansion revenue, and creates the kind of loyal users who actually leave reviews and refer others.

AI has changed who’s reading.

According to data from Search Engine Land, ChatGPT drove 87.4% of all AI referrals. Although organic search still dominates site visits, AI is becoming a performance channel through which brands buyers see and trust. Your content is now being read by humans and processed by AI systems deciding what to recommend. The way you write affects both audiences.

Types of SaaS content writing

Before you start planning what to publish, it helps to know which format fits which goal.

1. Comparison pages (“X vs Y”) 

They sit at the bottom of your funnel. When someone searches “HubSpot vs Salesforce,” they’re close to a decision and evaluating specifics. These pages convert well because the reader has already decided they want a solution but haven’t picked one yet.

2. Alternatives pages (“Best X alternatives”) 

Someone searching for alternatives to a tool they’re already using is unhappy with their current choice and actively looking to switch. If your product is a credible option, you should be ranking for these.

3. How-to guides 

These cover the educational middle of your funnel. They attract buyers who know they have a problem and are trying to solve it. The best how-to content in SaaS shows the reader how to do something while naturally demonstrating how your product fits into that process. Although TOFU content becomes less visible in Google, it’s still the source of knowledge for AI tools plus it helps build topical authority in the niche.

4. Product-led posts 

These are articles where your product is the example. A guide on “how to run a sales pipeline review” that uses your CRM’s interface throughout is product-led. It teaches something genuinely useful, and your product earns its place in the article by being the best way to show how it’s done.

5. Case studies 

A well-written case study with specific numbers, challenges, and an account of what happened does more for conversions than almost any other format. This is the original, unique content showcasing results you’ve achieved for your customers that is hard to replicate for AI.

6. Templates 

A downloadable template (sales proposal, onboarding checklist, customer interview guide) attracts links naturally, ranks for high-intent keywords, and puts your product or brand in front of someone at exactly the moment they’re doing the work your product is supposed to help with. Example: works great for proposal software, recruitment software and many other niches.

7. Thought leadership 

This is the hardest to do well and the most rewarding when you get it right. This is original analysis, a strong opinion grounded in real data, or a perspective your founder has developed from years in the industry. It builds the kind of credibility that makes everything else you publish more trustworthy. The key is having original thinking, real experience, and a strong point of view at the center of this kind of content.

8. Support and help content 

This sits on the retention side of the funnel. Onboarding guides, feature walkthroughs, troubleshooting articles – this content reduces churn by helping customers get value from your product faster. A lot of SaaS companies focus on acquisition and barely invest in this type of content, even though it often has a direct impact on retention and customer satisfaction.

Know what you’re writing and why before you write it

Most SaaS teams start with “what should we write next?” They pick topics based on what competitors are publishing, or what the founder finds interesting, or what their most recent customer asked about. That’s not a SaaS content marketing strategy.

A better place to start is to understand who is buying from us, what are they already searching for, and where are they in the buying process when they find us?

Define your ICP before you pick a keyword

Your ICP (ideal customer profile) is a person who lands on your article, reads it, and thinks “this is exactly my situation.” You need to know:

• What is their job title? What are their role responsibilities?
• What problem are they aware of, and how are they currently trying to solve it?
• What objections do they have before signing up for your product?
• What language do they use when they’re searching for answers?

The last one is more important than people think. Your buyers might search for “how to reduce meeting overload” rather than “team communication software.” Your content needs to start where they are, not where your product is.

This ICP definition also affects how your brand shows up in AI answers. LLMs learn about your brand from your content and from what other people say about you online.

If your content keeps speaking to the same type of person with the same specific problems, AI starts connecting your brand to that audience. That’s how your company ends up getting recommended when someone asks ChatGPT for advice. You need to create the most useful and relevant content for one specific type of reader.

High-intent keywords first

If you’re early-stage or have limited content bandwidth, don’t try to rank for everything. Start with keywords that signal buying intent. We’ve written a full breakdown of how high-intent content works if you want to go deeper on this.

The funnel gives you a useful frame:

• ToFu (top of funnel): Your buyer is aware of a problem but hasn’t started looking for software yet. They’re searching for things like “how to improve onboarding for remote teams.” Good for awareness, but the path to conversion is long.
• MoFu (middle of funnel): The buyer knows the problem and is evaluating solutions. They search “best onboarding software for remote teams” or “Userpilot vs Appcues.” These people are actively comparing options, including yours.
• BoFu (bottom of funnel): The buyer is close to making a decision. They search for “[Your product] pricing,” “[Competitor] vs [Your product],” “[Your product] reviews,” or “[Your product] demo.” These searches usually signal high purchase intent.

A lot of founders assume you need brand recognition before BoFu content pays off, because “who’s searching for us if no one knows us?” But at this stage of the funnel, you’re not targeting searches for your own product. You’re targeting searches for your competitors, or for the category you’re in.

For RingBlaze, we focused their entire early content strategy around competitor alternatives and comparisons with keywords like “RingCentral vs Vonage” and “Grasshopper alternatives.” We put RingBlaze as #1 alternative in the ‘alternative’ posts and mentioned product benefits in the ‘vs’ posts. Those articles brought in 650 leads and grew their blog traffic from zero to 50,000 monthly visitors, entirely with 20 articles.

In 2026, keyword research also means paying attention to how your buyers use AI tools to research. The prompts they type in ChatGPT today look completely different from a Google search. They’re longer, more specific, and more conversational. 

Example: “What’s the best CRM for a 50-person B2B company that already uses HubSpot and needs better pipeline visibility?”

If your content gives an answer to that specific question, AI tools start pointing people toward you. That’s the opportunity.

Be consistent and update what you publish

Content compounds over time. A single article won’t do much in month one. But 20 articles over six months, consistently updated, can become a lead generation engine. The update piece is even more important now than it ever did. Content freshness is a meaningful factor in both traditional rankings and AI citation. Don’t just publish articles and leave them untouched. Make it part of your process to regularly update stats, reports, examples, and dates so the content stays relevant..

How to write B2B SaaS content that ranks and gets cited

Most guides on the internet will tell you to “write quality content” and “understand your audience” without explaining what the writing process looks like. Here’s what ours looks like.

1. Prepare the brief before you write a word

Every article at Quoleady starts with a brief. The brief is the decision document as it defines everything before anyone writes a sentence.

Check out our content brief from one of our clients below:

A strong content brief includes:

• Target keyword and search intent: what query does this article answer, and what does the person who typed that query actually want?
• ICP for this article: who specifically is reading this, and what do they already know?
• Funnel stage: is this an awareness article or a comparison article? That changes the entire article structure.
• Product angle: where does your product appear naturally in the answer, and how does it help the reader solve the problem?
• Key claims to support: what are the 2–3 most important things this article needs to say, and what data or examples back them up?
• Internal links: which existing articles on your site should this article link to?

If you’re working with an external writer, the quality of the brief determines the quality of the article. A clear brief leads to a strong draft. A vague brief leads to generic content that takes hours to fix.

2. Lead with the problem, not the product

The most common mistake in SaaS content is starting with the product. Don’t.

Your reader came to find a solution to a problem. If your intro is about your product’s features, you’ve already lost them.

Instead of “Our software has automated reporting,” write like you’re trying to solve their problem, “Your ops team is probably spending 6+ hours a week pulling numbers from different tools and pasting them into a spreadsheet. Here’s how to fix that.” The product comes in once you’ve earned the reader’s attention with relevance.

When your content looks too promotional, it doesn’t add credibility. What you need is content that builds trust first, so people are more open to hearing about it. Show the reader you understand their situation. Then show them how your product helps.

3. Experience-based content to rank better

A freelance designer named Katelyn runs LaunchTheDamnThing.com. Her site has a domain rating of 45, around 3K traffic at the start of 2026, weak backlinks, no aggressive internal linking, and failing Core Web Vitals.

Yet she ranks #1 for keywords like “client portal software,” “best task management software,” and “app for freelancers” – terms SaaS companies with full marketing teams and six-figure budgets compete for. Between January and April 2026, her traffic grew 4x.

We figured that this is due to:

• Genuine experience-based reviews
• Conversational writing that sounds human
• Content written by someone who has used the tools

This is the part of SaaS content strategy many teams avoid because it’s harder to scale. But firsthand experience beats content written purely to cover a topic, even when the latter has stronger backlinks and cleaner technical SEO.

For SaaS specifically, that means a few things:

• Comparison articles should be written by people who have used the tools
• Workflow-focused content should reflect what the problem really feels like
• Founder opinions and customer insights should appear in the content

One experience-based “software” article that ranks #1 can generate more leads than 100 generic articles that rank on page two. The math works out. The effort is in being willing to do the harder kind of writing.

At Quoleady, we’ve started backing this up with something we call the Secret Buyer approach. We have testers who actually use the tools, talk to the sales teams, and evaluate the full experience across 200+ data points before we write a word. The resulting articles have a level of specificity that generic content can’t match because it comes from people who did the thing rather than people who researched the thing.

4. Publish product-led content

Product-led content is the practice of writing educational articles where your product is the natural example. This is not promotional. The article would be genuinely less useful without your product appearing in it, because your product is the best way to show how to actually do the thing the article is about.

We’ve seen the same pattern across dozens of clients. Generic “how to manage a remote team” content gets read. “How [Company] teams use async standups to cut meeting time in half” gets sign-ups. The conversion rate difference between those two types of articles is often 2-3x.

We had a web analytics software client named Fullsession. Their product helped with session recordings and replays, interactive heatmaps, customer feedback forms, and detailed analytics. So we wrote a series of educational, product-led articles showing readers how to use and interpret website behavior data.

For example, we wrote one article titled ‘How to Read a Heatmap and What You Can Learn From It’ in a very conversational tone to engage the readers. We explained everything about website heatmaps from the different types to benefits and best practices. Towards the end of the article, we introduced the Fullsession product contextually.

Before working with us, Fullsession had a few blog posts on their website that didn’t generate any traffic or leads. The website had a DA of 2 and zero backlinks and referring domains. After following our strategy, their DA increased to 49. With product-led content, we were able to get 500 Leads with 16 articles in 4 months for them. 

5. Structure your content for GEO and AI search

In 2026, your SaaS content has two audiences: the human reader who’s skimming and the AI system that’s extracting.

GEO (Generative Engine Optimization) is the practice of writing and structuring your content so that ChatGPT, Perplexity, and Google’s AI Overviews cite you when buyers ask questions about your category. 

According to G2’s 2025 Buyer Behavior Report, nearly 8 in 10 respondents say AI search has changed how they conduct research, with 29% now starting research via ChatGPT more often than Google.

A few practical things that matter and you should keep in mind:

A. Use a clear H2/H3 hierarchy

LLMs extract information based on heading structure. If your subheadings are descriptive and your paragraphs start by answering the question in the heading, your content becomes much easier to extract and cite. That’s why it’s important to structure your web pages for AI-first indexing, so that your content shows up in LLM answers.

B. Answer the main question in your first 100-150 words

The earlier your answer appears in the article, the more likely it is to be cited. Concise answers near the beginning of an article tend to get surfaced more often. Try putting your most quotable, citable claim near the top, not buried in section four.

C. Add FAQ sections at the end

Until May 7, 2026, FAQ sections with structured schema helped pages stand out in Google Search through expandable rich results. Google has now removed FAQ rich results, and Search Console will stop reporting FAQ structured data by June 2026.

Does that mean you should stop using FAQs? No.

Google confirmed it still uses FAQ structured data to better understand page content, even though the rich result feature is gone. The visual benefit disappeared, but the SEO value remains.

FAQs are still important because AI Overviews and LLMs rely heavily on structured Q&A content. A strong FAQ section gives AI tools clear answers they can extract and cite when users ask related questions.

So you’re no longer adding FAQs to gain more space in search results. You’re adding them to make your content easier for AI systems to understand, quote, and reference.

To work well, FAQ answers should be genuinely useful with short, clear responses to real customer questions, not keyword-stuffed filler. Quoleady’s guide on formatting content for LLM extraction walks through the specific structures that work best.

D. Use specific, verifiable claims

Vague statements like “content marketing increases brand awareness” get skipped. Specific claims with sources like “How ResponseScribe Went From 0 to 4.62k Clicks in 6 Months” get cited. AI tools prefer information they can trust and clearly reference. So whenever possible, use real data, examples, and sources to back up your points.

E. Include expert quotes and original data

Researchers from Princeton University and IIT Delhi tested which content strategies increase visibility in AI-generated responses. Adding expert quotes and citations from credible sources was one of the top three strategies, boosting visibility by over 40%. Expert quotes alone can increase LLM visibility by 30–40%, especially when they come from credible, relevant sources.

5. Fix your E-E-A-T to appear in LLMs answers

Google’s E-E-A-T framework – Experience, Expertise, Authoritativeness, Trustworthiness – has always mattered for rankings. In 2026, it’s important for AI citation too. LLMs and AI Overviews need confidence signals before they’ll cite your content. If your article is written by “the team” with no named author, no data, and no references to actual experience, it’s harder for any system to know whether it’s trustworthy.

In practice, E-E-A-T for SaaS content means:

• Named authors with real bios: An article by “Olga Mykhoparkina, founder and CEO of Quoleady, who has worked with PandaDoc, Monday.com, and Expandi” is more citable than an article by “the Quoleady content team.” LLMs use named entity associations, so the author’s credibility carries into the content’s credibility.
• Your own data from client work: Third-party statistics are fine. But your own numbers like the conversion rates you measured, traffic results from campaigns, A/B test results from real articles, are far stronger signals of genuine expertise. If your articles are published anonymously with no data and no sourcing, AI platforms have no reason to trust them.
• Linking to primary sources, not blog posts: If you cite a statistic, link to the original study or report, and not a blog post that mentioned it, this builds trust with both readers and AI systems.
• Third-party mentions across the web. Review platforms like G2 and Capterra matter a lot. Quoleady’s research on G2 and Capterra’s influence on ChatGPT rankings found that 100% of tools mentioned in ChatGPT answers had reviews on Capterra and 99% had reviews on G2. So if you want your brand to show up in AI answers, being on these sites is basically a requirement. If you’re not listed there, your chances of getting recommended are very low..
• Reddit presence: Our research on whether Reddit influences LLM responses found that Reddit discussions correlate with LLM recommendations. If your product is being talked about in relevant subreddits, that signal carries into AI answers. At the same time, it’s worth noting that Reddit has far less influence now compared to a year ago where it dominated ChatGTP citations.

The SaaS content production process to follow

Good SaaS content doesn’t happen by accident. It follows a repeatable process that keeps quality consistent even as you scale. (If you need to run a SaaS content audit, feel free to use our checklist.)

Here’s the process we use with our clients:

1. Set the keyword and intent: Before anything else, know exactly what search query this article is answering and what the person who typed that query actually wants to find.
2. Write the brief: Cover the ICP, funnel stage, product angle, key claims, and internal links. This is the decision document – get it right before writing starts.
3. Draft with the human reader first, LLM structure second: Write for the person sitting at their desk with a problem. Then check: does this article have a clear hierarchy? Does it answer the main question early? Does it contain specific, citable claims?
4. Optimize before publishing: Use a tool like SurferSEO to make sure keyword coverage is on point. Check the heading structure. Add your FAQ section if it fits. Link to your existing content.
5. Publish with a named author and their bio: Include the author’s credentials, their link to LinkedIn or a public profile, and any relevant experience that establishes them as someone worth citing.
6. Update within 12 months: Update lead gen article more often. We have seen companies updating their “tools” article every month. So add new data, refresh outdated statistics, expand the FAQ section, and check whether any internal links should be updated. Set a calendar reminder the day you publish.

That loop – brief, draft, optimize, publish, update – is what makes content keep growing instead of fading away.

For FullSession, we applied this process across their entire content strategy. In the first four months, 16 of the articles we published were generating leads on their own. The result was 500 leads, a domain rating that climbed from 2 to 49, and 1,300 organic keywords ranking. When we went back and rewrote their highest-traffic article – restructuring it, shortening the intro, adding more H2s and H3s, cleaning out generic content – conversions on that single article jumped nine times.

That’s what the process produces when you apply it consistently.

Tools that support a SaaS content program

You don’t need a complicated toolstack to create good SaaS content. But a few tools are useful at specific stages of the process:

• Ahrefs or Semrush: Use these for keyword research, competitive analysis, and performance tracking. They help you find high-intent keywords, analyze competitor rankings, and monitor how your articles perform over time. Either tool works well; choose the interface you prefer.
• SurferSEO: Helps optimize content before publishing by identifying gaps in topic coverage and improving on-page relevance. It supports SEO quality control, but it’s not a replacement for strong writing.
• Google Search Console: Tracks how your content performs in search results. Use it to see which keywords your pages rank for, monitor click-through rates, and identify pages that are getting impressions but not enough clicks.
• GA4: Shows how readers behave on your site and where traffic comes from, including LLM referrals. You can check out this step-by-step guide to setting up LLM referral tracking in GA4 if you want to see how much of your traffic is coming from AI tools.
• ChatGPT or Claude: Useful for research, outlining, editing, and simplifying dense sections. They speed up repetitive work so you can focus on strategy, expertise, and final quality.
• Grammarly: Catches grammar, spelling, and clarity issues that can reduce credibility and hurt readability.
• Allmond: Tracks your brand’s visibility across AI platforms. Useful for measuring GEO performance alongside traditional SEO metrics. Check out more AI visibility tools in our post.

In-house vs. outsourcing: which one is right for you

The honest answer is that both work, and both have real trade-offs.

An in-house writer knows your product cold. They’ve sat in on customer calls, they know your company’s voice, and they don’t need three weeks to get up to speed on what you do. That deep product knowledge shows up in the content. The downside is that internal writers often have blind spots. They’re too close to the product to explain it the way a new customer would experience it, and they may not have the SEO or LLM optimization skills needed to make content rank and get cited.

Outsourcing to an agency gives you fresh eyes, professional content skills, and the ability to scale output without hiring. The trade-off is time upfront because external writers need to understand your product, your ICP, and your brand voice before the content gets good. If you give them a brief and nothing else, you’ll get generic content back.

How to measure whether your content is working

You should start with the basics. Track traffic to your articles, keyword rankings, and where readers go next. Organic search traffic growth is still the primary signal that your content strategy is on the right track.

Beyond that, two things are worth tracking:

1. AI citation share

Are you being mentioned when buyers ask ChatGPT or Perplexity about your category? You can test this manually. Search for the prompts your ideal customers would use and see whether your brand appears in the responses. For a more systematic approach, you can use tools like Allmond, which is specifically built for tracking AI visibility. It monitors where your brand appears in LLM answers across different platforms and prompts, so you can see whether your content and off-site presence are translating into AI mentions.

2. Content-influenced pipeline

Which articles are your prospects reading before they book a demo or start a trial? This is measurable if you set up your CRM properly with UTM parameters on every piece of content. When a contact books a call and you can see they read three articles before doing it, that’s content influence on the pipeline, and it’s a much more meaningful metric than pageviews.

If you want to go deeper on tracking LLM traffic, read this step-by-step guide to set up LLM referral reports in GA4. Our SaaS clients currently see 0.5–3% of total traffic coming from LLMs – a small share today, but one that’s growing consistently month over month.

ROI formula for content: (Revenue from content – Cost of content) ÷ Cost of content × 100. If you spent $5,000 on content that influenced $25,000 in pipeline, your content ROI is 400%. Track it per article if you can, or at least at the cluster level.

Conclusion

SaaS content in 2026 runs on the same principles it always has – understand your buyer, write about their problems, and show how your product helps. There is one important addition, that is, structure it so that the next person asking the same question through an AI tool gets pointed toward you.

The clients succeed when they stay consistent for 6-12 months, keep updating what they’ve published, build genuine author authority, and write about their product specifically enough that no AI tools could confuse them with a competitor.

This kind of content builds into a lead generation engine that works while you’re doing other things. And when a buyer asks ChatGPT which tools to consider in your category, your name is in the answer.

If you want help building that kind of content strategy, one that ranks on Google and gets cited in AI answers, book a free call with Quoleady.

Frequently asked questions

What is SaaS content writing?

SaaS content writing is the practice of creating educational, problem-focused written content like blog articles, guides, case studies, comparison pages. Such content helps a SaaS company attract its ideal buyers through organic search and, increasingly, AI platforms like ChatGPT and Perplexity.

What does a SaaS content writer do?

A SaaS content writer researches the topics potential buyers search for and creates useful content around them. They write articles that can rank in search results and appear in AI answers. Strong SaaS writers also understand product positioning, so they can mention the product naturally without making the content feel promotional.

What makes SaaS content writing different from other content writing?

B2B SaaS content has to address multiple decision-makers in a single company, explain an intangible product through outcomes and use cases rather than physical attributes, and support both acquisition (bringing in new buyers) and retention (keeping existing customers engaged).

What are examples of SaaS content writing?

Comparison pages (“HubSpot vs Salesforce”), alternatives pages (“best Zoom alternatives”), how-to guides that use your product as the example, original research reports, case studies with real client numbers, onboarding documentation, thought leadership from your founder, and templates your buyers can download and use immediately.

Should SaaS content be product-led?

Yes, but only when the product genuinely improves the article. Product-led content means the product is naturally part of the solution, not added at the end for promotion. If removing the product would make the article less useful, the content is product-led.

How long does SaaS content take to produce results?

Expect the first signals, that are ranking for long-tail keywords and early organic traffic, around 1–3 months after publishing. Compound results, where multiple articles rank and consistently generate leads, typically appear 6–9 months into a consistent publishing cadence.

How do I get my SaaS content cited in ChatGPT or Perplexity?

Focus on clear H2/H3 structure, specific and verifiable claims, named authors with credentials, and a strong presence on third-party platforms like G2 and Capterra. Content freshness also matters so update articles regularly rather than leaving them static.

Should I write SaaS content in-house or outsource it?

Both work. In-house gives you deep product knowledge. Outsourcing gives you content expertise, fresh perspective, and scale. The best results come from giving external writers direct access to your product, customers, and internal data, not just a brief.

How much does SaaS content writing cost?

It depends heavily on the format, the writer’s experience, and whether you’re working with a freelancer or an agency. A standalone blog post from an experienced B2B SaaS writer typically runs $300–$800. A full-service content program with strategy, writing, optimization, and reporting, like what Quoleady runs for clients, varies based on output volume and scope. 

The post SaaS Content Writing That Drives Signups in 2026 appeared first on Quoleady.

If that sounds familiar, there’s a good chance you’re still doing link building based on advice that worked a few years ago.

Google has gotten much better at ignoring manipulative links and rewarding editorial mentions. At the same time, more buyers are finding software through LLMs.

So if your brand isn’t mentioned in the articles and listicles AI tools pull recommendations from, you’re missing potential customers.

This guide is based on what we’ve seen building links for 100+ B2B SaaS companies. What’s still working. What SaaS brands should probably stop spending budget on. And why listicle placements became one of the strongest channels for both SEO and AI visibility in 2026.

Why SaaS link building is different

For the B2B SaaS industry, link building rules are a bit different.

Most of the links you’ll ever earn will point to your blog content. Nobody writes a roundup about project management tools and thinks “I should link to this company’s features page.” 

Editorial links go to content that helps their readers, which is almost always an article. That’s why your content strategy and your link building strategy are inseparable. The logic is: more links to your content → higher rankings → more traffic to pages with a path to conversion → more sign-ups.

You’re also operating in a technically niche space. Fewer websites naturally write about your category. That shrinks the pool of relevant domains you can realistically target. And the ones worth targeting are being pitched by your competitors too.

Then there’s the authority baseline problem. If you’re under DR 30, some of the better link opportunities won’t take you seriously yet. Getting those early links feels like needing experience to get a job, but needing a job to get experience.

None of this is a dealbreaker but it does mean you need to be strategic. Spraying guest post outreach at hundreds of websites and hoping something sticks is low ROI and rarely leads to strong placements.

What makes a SaaS backlink “good” in 2026

Before running any outreach, it’s worth getting clear on what you’re actually looking for. A lot of founders still optimize purely for Domain Rating (DR) or Domain Authority (DA). Those metrics are useful reference points, but they’re not the whole picture.

Here’s how we evaluate every link opportunity at Quoleady.

Topical relevance comes first

A DR 40 blog written for SaaS founders or B2B marketers is often more valuable than a DR 70 lifestyle site.Think about a LinkedIn automation tool. A link from a blog about outbound, lead generation, or LinkedIn growth fits naturally. A mention on a general lifestyle site feels out of place, even with higher DR.

Google evaluates the context around a link along with the domain it comes from. When we build links for clients, we focus on sites covering related topics so the links align with the content.

Organic traffic matters more than you think

A site can have strong DR and almost no readers. Always check the traffic graph in Ahrefs or Semrush before pursuing a placement. You want sites with consistent, gradual growth, not sudden spikes or drops, which often signal a past penalty.

Example of a domain with strong, consistent traffic where a backlink would be valuable

Example of a domain with unstable, declining traffic, not worth building a link on 

Where the link sits on the page

A link embedded inside a relevant paragraph in the body of an article carries real weight. A link stuck in a footer, a sidebar, or an author bio contributes almost nothing. Aim for in-content, contextual placements every time. Also, a link in the beginning of the article is more valuable than a link at the end/middle.

Why over-optimizing anchor text will hurt you

Use natural anchor text. Most strong backlink profiles include a mix of branded anchors, URL anchors, topical anchors, and occasional keyword-rich anchors.

For SaaS companies, branded anchors usually make up a large share of the profile because people naturally link using the company name, product name, or URL.

Keyword-rich anchors can help, but they should be used carefully. If too many links use the same exact-match keyword, the backlink profile starts to look manufactured.

Instead of aiming for fixed percentages, compare your anchor text mix against competitors ranking for the same keywords. If your profile has a much higher share of exact-match anchors than theirs, it’s a warning sign. 

At Quoleady, we prioritize fewer, higher-quality domains over volume. We adjust anchor strategy based on the existing profile – if there’s already a solid base of branded and neutral anchors, we can safely add more keyword-focused anchors.

What to avoid

You should absolutely avoid content farms with no clear niche. These are the sites that appear to be link repositories (every other word is an outbound link, what we call “link cemeteries”). Additionally, avoid any domain that shows or links to adult content, casino, or gambling links in its outbound profile. Getting a link there puts you in that same company.

I’m personally not a big fan of websites that show ads left and right. You’ll find plenty of those on news magazines (including Forbes, by the way). I’ve been quite skeptical about news magazines overall and didn’t really value links from them, but 2026 changed that a bit. After seeing some of these publications show up in LLM results, I realized it’s something to evaluate on a case-by-case basis.  

The SaaS link building strategies that work in 2026

These are the six strategies we use most consistently for our B2B SaaS clients. None of them are shortcuts. All of them compound over time.

1. Content assets that earn links naturally

One link building strategy that still works incredibly well for SaaS is creating original research or genuinely useful educational resources.

Ahrefs is probably one of the best examples of this.

Their research studies regularly attract hundreds or thousands of backlinks because people naturally reference data in articles, presentations, LinkedIn posts, newsletters, and podcasts. Their AI Overviews study alone picked up around 1.2K backlinks.

The same thing happened with Ahrefs Academy. It became a widely referenced educational resource and accumulated more than 8K backlinks over time.

SurferSEO did something similar with Surfer Academy, which now has around 3K backlinks.

What’s interesting is that these links usually don’t come from outreach alone. The initial distribution matters, of course, but once something becomes useful inside an industry, people keep linking to it naturally for years.

I think many SaaS companies underestimate how strong this compounding effect can become. One well-executed research report or educational hub can attract more high-quality backlinks than dozens of guest posts.

2. Guest posting done right

For years, SaaS companies treated guest posting like a volume game. Find websites with decent DR ->
send 500 outreach emails -> publish whatever gets accepted.

The problem is that many of those links never influenced buying decisions in the first place.

Some of the best-performing guest posts we’ve done for SaaS companies were on niche industry blogs where the audience was relevant.

A workflow automation company getting featured on a blog read by operations managers is often far more valuable than getting a DR80 link from a broad marketing site nobody in that niche actually reads.

I also think founders underestimate how much editorial fit matters now.

Editors have become much pickier. AI-generated guest posts completely flooded inboxes over the last two years and many publications became exhausted with generic “10 tips for productivity” type pitches.

What still works is bringing something specific:

• original data from your research
• strong product experience
• unusual observations from working with customers
• your angle and opinion
• screenshots
• examples AI can’t write without firsthand exposure

The outreach itself matters less than people think. What matters much more is angle.

If the topic immediately feels useful for their readers, conversations become much easier.

At Quoleady, we usually spend more time researching publications and angles than writing the actual outreach email. You can feel pretty quickly when an editor sees your pitch as just another SaaS company asking for a backlink versus something they’d want to publish for their audience.

3. ABC Link Exchanges

Direct link swaps like “I’ll link to you if you link to me” are listed by Google as link schemes, especially when done at scale or without relevance. In practice, they still happen, but relying on them too heavily can make your backlink profile look unnatural.

The ABC link exchange idea is very simple. Your site (A) links to site B, site B links to site C, and site C links back to you. There’s no obvious back-and-forth, so it comes across as more natural, and when the sites are relevant and actually send traffic, it is natural.

This strategy works particularly well for SaaS companies that have a blog but don’t want to partner with direct competitors. You find non-competing SaaS companies, agree on the exchange, and everyone gets a relevant, in-content link. As an agency, we get it done faster as we already have assets we own where we can get backlinks returned to our partners when they link to our clients. You can absolutely work on this on your own but if you want to scale your link building – you’ll either need an agency or an in-house team for that.

We’ve used similar approach to help one of our clients, RingBlaze. When we started working together, they had a DA of 8 and almost no backlinks. Using a combination of smart A-B-C exchanges, partnerships, and manual outreach, we published 50 guest posts and built 35 backlinks to target pages. 

As a result, we grew their DA from 8 to 30 in five months. Blog traffic went from zero to 50K visits and the content generated over 650 leads. At one point, their founder Dennis reached out asking us to slow down because they couldn’t handle the volume of inbound. That’s the compounding effect of a clean, consistent link building approach done over time.

Another cool example is Peopleforce. We got them from position 7 in Google to position 4 for one of their biggest lead gen keywords with 6 powerful backlinks.

One thing you should remember is to stick to just three sites. Once you go beyond that, things get messy with more coordination, more chances for someone to drop off, and the whole setup can fall apart.

4. Getting featured in listicles

“Best [category] tools“, “Top [X] alternatives to [competitor]”, “The [Y] best software for [use case]” – all these pages rank for some of the most high-intent keywords in any SaaS niche. The people reading them are actively comparing options before making a purchasing decision. Getting your product featured in them earns you a backlink and puts you in front of buyers at exactly the right moment.

This has always been valuable for SEO. But in 2026, listicle placements have taken on a second job that makes them even more important.

We ran a study analyzing over 10,000 citations across ChatGPT, Claude, Perplexity, and Gemini. We tested hundreds of high-intent SaaS prompts to understand where LLMs actually pull their information from. Across every model, listicles were the main citation source. Claude relies on them for over 70% of its citations. Even Gemini – the least listicle-dependent model in our study – still pulls 40% of its citations from listicle-style content. When someone asks ChatGPT “what’s the best CRM for a 50-person B2B team?”, the answer it gives mostly depends on which brands show up in the listicles it trusts.

Getting featured in a well-ranking listicle in your category is your most direct path to appearing in AI-generated answers.

The execution challenge is the tricky bit. Finding the right listicles (the ones that rank and have traffic), vetting them for quality, finding contacts of the right people, writing a pitch that gets an editor’s attention, and following up without being pushy is a full process.

That’s exactly what our Listicle Outreach Service is built for. We find 30+ high-impact listicles per month that are relevant to your product category, and pitch editors on your behalf. It’s done-for-you, so you can focus on your product while your brand gets placed in the lists your buyers are reading. To give you an example, just last week we’ve received a positive reply from Monday.com for our cilent when asked to get featured in their roundup.

If you want to track and manage your listicle presence yourself – knowing which listicles mention you, which mention your competitors but not you, and which are worth pursuing next – you can use our tool ListicleManager.com. It replaces the spreadsheet most teams end up using to track placements, and gives you a clear, prioritized view of your listicle gap and opportunity.

For example, most of our recent leads came from AI answers after we’ve spent months outreaching listicles on “Growth Marketing, SEO, AEO, GEO, content marketing and link building agencies”.

Works just as well for SaaS businesses – you get the top ranking listicles for your business keywords (example: proposal management software, LinkedIn automation tools, AI ad generation tools, etc.) and reach out to see what it takes to get your SaaS featured. Most likely you’ll need a listicle on your blog to return the favor.

Check out my LinkedIn post where I cover the entire process from A to Z in-depth.

Lots of listicle placements happen through exchanges with top ranking competitors. Basically, you feature your competitor in your listicle while competitor features you. Clients often ask whether this could be seen as an A-B exchange and hurt rankings overall.

In practice, no.

If you look at almost any “best CRM software”, “best SEO tools”, or “best project management software” article ranking in Google top 10, you’ll notice the same pattern: many of those companies mention each other across comparison pages, alternatives pages, integrations, directories, roundups, and industry resources.

That’s how SaaS ecosystems naturally work.

The problem starts when exchanges become obviously manipulative, irrelevant, or purely created for SEO with no real user value. But being featured alongside other legitimate tools in your category is completely normal and happens across the entire industry.

5. Digital PR and original research

When a piece of research gets picked up by a few industry publications, it usually turns into several placements on sites with authority and traffic.

For SaaS, this is more accessible than it sounds. You’re already sitting on valuable data (usage patterns, benchmarks, customer insights) and when you package it around a question your industry is asking, it becomes something publications are willing to cover.

Funding rounds are one of the easiest PR opportunities for SaaS. When airfocus asked us to cover their series A, we reached out to platforms that regularly cover those announcements and landed placements on Crunchbase and TechCrunch.

With Expandi, we focused on getting Stefan, the founder and CEO at Exandi, featured on Forbes and Entrepreneur. These placements don’t come with dofollow links, but the mention itself still carries weight for AI visibility.

We also publish press releases for clients on sites like Fortune, Reuters, and The Next Web. A mention and link on these platforms often get picked up and republished by other outlets, so one placement turns into many more.

In 2026, as more attention shifts to AI visibility, SaaS founders are trying to figure out how to show up in those answers, and digital PR helps you get there while also building a brand people talk about.

Clients also often ask what drives better ROI: one big feature or multiple smaller placements? In most SaaS cases, listicles and comparison pages come first, since they directly influence both search results and AI answers. Press releases and larger publications usually come next, once you want broader visibility. In some niches, like blockchain, a feature on a major platform can carry more weight, so it depends on where (and how) your audience is actually looking.

6. Journalist sourcing platforms

Back in the days HARO launched a model where journalists post requests for expert sources, and companies or founders respond with relevant insights in exchange for media mentions, citations, and backlinks. That approach still works well today across several newer platforms.

Some of the best current options include:

• Source of sources (previously known as HARO) is created by HARO’s original founder, Peter Shankman. Closest in structure to the original platform.
• Featured.com (formerly Terkel) connects experts with journalists, with both free and paid plans.
• Qwoted is widely used across industries and tends to attract high-quality media opportunities, especially in business, tech, and finance.
• RoundupHero is built for creating expert roundup content at scale, helping brands collect expert insights, generate content faster, and earn backlinks and mentions through collaborative articles.
• Muck Rack is more enterprise-oriented, but strong for targeting specific journalists by beat.
• SourceBottle is similar to HARO, with a good mix of tech and business journalists.

For SaaS founders, this used to be one of the more attractive link building channels, but in practice it’s become harder to justify. The competition is intense, journalists get flooded with responses, and many of them come from low-quality or generic “experts,” which makes it difficult to stand out. It also takes time to monitor requests, write responses, and follow up, with no guarantee of getting published.

That said, it can still work if you’re a real expert with something specific to say. If your response is based on actual experience, includes concrete examples, and doesn’t sound like something AI could generate, you still have a shot at getting picked up. In those cases, it’s worth trying; just don’t expect it to be a consistent or scalable channel.

7. Internal linking (massively underestimated in SaaS SEO)

I’ve seen SaaS companies spend thousands on backlinks while barely thinking about how pages connect inside their own website.

At the same time, some strong ranking improvements come from internal linking alone.

A common situation looks like this:

• the “HIPAA-compliant scheduling software” page doesn’t link to the healthcare integrations page
• an “email warm-up tool comparison” article never links to the deliverability guide
• a “SOC 2 checklist” article gets traffic but never points readers toward the actual compliance workflow product
• product use case pages are disconnected from educational content

So backlinks come in, traffic comes in, but the authority is trapped on isolated pages instead of strengthening the lead gen pages.

The goal for your SaaS website is to build an interconnected ecosystem of pages in a strategi way where pages that get lots of backlinks (think original research page or Academy) support your lead gen pages and push them up in Google.

A visitor reading about “how to reduce onboarding dropoff” naturally lands on onboarding templates, customer onboarding checklists, onboarding analytics comparisons, and eventually the product itself. Everything supports everything else.

This also matters much more now with AI search. LLMs are trying to understand relationships between concepts, use cases, industries, integrations, and products. Strong internal linking helps create that context.

One thing I’d strongly recommend is revisiting older high-traffic articles regularly. Sometimes adding several highly relevant internal links to newer commercial or comparison pages can impact rankings faster than publishing another new article.

8. Turning unlinked brand mentions into backlinks

If your product has been on the market for some time, there’s a good chance people are already writing about it without linking to you. Could be a review on someone’s “tools we use” page. Or a mention in a roundup that never became a hyperlink. Or maybe a case study that references your product.

A few years ago, SEOs would often run entire unlinked mention campaigns trying to convert every brand mention into a backlink. And yes, these links can still be valuable. The publication has already acknowledged your brand, so the outreach is usually much easier than cold link building.

But in 2026, the mention itself already carries much more value than it used to.

LLMs rely on entity recognition, brand associations, citations, and contextual mentions across the web. So if a trusted industry article talks about your product positively, that signal may already contribute to how your brand appears in AI-generated answers even without a clickable link.

That doesn’t mean backlinks stopped mattering. They still absolutely help with rankings, authority, and discoverability. But if you already earned a strong contextual mention on a reputable site, it’s often not worth spending weeks chasing every missing hyperlink.

You can still monitor mentions using Semrush Brand Monitoring, BrandMentions, or Google Alerts and occasionally send a short, friendly email asking for a link. Some will happily add it.

But overall, your time is usually better spent earning more high-quality mentions, reviews, listicle placements, expert quotes, and industry coverage rather than obsessing over converting every existing mention into a backlink.

9. SaaS review websites and directories

Review platforms (G2, Capterra, TrustRadius) rank for some of the highest-intent keywords in any SaaS category. “Best [category] software” pages from Capterra often outrank vendor websites in search results, including in international markets. 

LLMs often pull from directories because they offer standardized, comparable data across vendors. A strong, up-to-date G2 profile is a signal that your product is legit, established, and trusted.

Some of the top platforms for B2B SaaS are G2, Capterra, TrustRadius, and GetApp. All of them offer free basic listings. Beyond these, there are dozens of niche software directories, review platforms, and industry-specific marketplaces where having a complete and active profile can strengthen your visibility across both Google and AI systems.

Where most SaaS companies go wrong is treating their directory profiles as a one-time submission. A stale profile with outdated screenshots signals to AI that it’s not active. Keep your profiles current and add verified reviews regularly. Make sure the product description matches how you’re positioning yourself everywhere else.

10. Integrations with other SaaS

Integrations are one of those underrated SaaS growth channels people rarely discuss from an SEO or AI visibility angle.

When you build a native integration with another tool, you often earn visibility inside their ecosystem through integration directories, documentation, partner pages, or product mentions. Sometimes that includes a backlink, sometimes it’s simply a brand mention.

And honestly, in 2026 the mention itself already carries a lot of value.

When buyers repeatedly see your product connected with tools like HubSpot, Slack, Zapier, or Salesforce, your brand starts feeling more established and trustworthy.

AI systems pick up on these associations too. LLMs constantly see brands appearing alongside certain workflows, tools, and categories, which helps reinforce what your product does and where it belongs.

11. Affiliate partnerships (not direct but could work too)

An affiliate programme doesn’t typically come to mind as a link building strategy, but it can work as a secondary benefit. When affiliates promote your product, they often publish content like reviews, comparison posts, and tutorials. These include links back to your site. If those affiliates are established bloggers, newsletter writers, or SaaS reviewers with real audiences, those links carry genuine editorial weight.

The downside is that affiliate links are usually marked as nofollow, so the direct SEO value is often limited.

But affiliate partnerships still work well for AI visibility because they generate something increasingly important in 2026: relevant brand mentions across the web.

Affiliates naturally create reviews, comparisons, tutorials, and “best tools” articles where your product appears alongside competitors and related workflows. Some publishers still include dofollow contextual links, especially inside longer editorial reviews, but even without them, those mentions help reinforce your brand associations across categories and use cases which LLMs tend to pick up. 

What doesn’t work in 2026?

A lot of link building tactics still technically “exist,” but many don’t move the needle anymore, especially for SaaS brands trying to improve both SEO and AI visibility.

• Links on pages nobody visits
  A surprising number of “DR 70+” websites get almost no organic traffic on the pages selling placements. If nobody reads the page, references it, links to it, or cites it, the SEO and LLM value is usually minimal too.
• Mass cold outreach with generic templates
  Most outreach today is painfully obvious. The same recycled “I loved your article” and “Quick question” emails sent to thousands of websites. Response rates are terrible unless the pitch is genuinely relevant and personalized.
• Low-quality directory spam
  Submitting your startup to hundreds of random directories rarely helps. Most have no audience, no rankings, and no visibility in AI systems. A few strong industry platforms matter much more than 200 forgotten directories.
• Sitewide links, footer links, and author bio spam
  These links still exist everywhere, but they rarely carry much weight. Contextual mentions inside actual content tend to matter far more now, especially when the page itself gets traffic, rankings, or citations.

The same thing happened with link building as with content: once everyone started mass-producing it, visibility, relevance, and human attention became much more important.

What changed with SaaS link building in 2026?

A few years ago, most SaaS companies were mainly chasing dofollow backlinks from high-DR websites.

Now people pay much more attention to where their brand shows up online and how often it gets mentioned across their niche.

LLMs pick up mentions from listicles, comparison pages, reviews, Reddit discussions, integrations, and industry articles. A mention in a strong “best CRM software” article can help your Google rankings and also improve your visibility in ChatGPT or Perplexity, even if the link itself is nofollow.

Another thing that changed is the importance of certain page types. Listicles, comparisons, reviews, integrations, and original research influence a huge number of AI-generated recommendations today.

For almost every SaaS client we work with now, listicle outreach became part of the strategy. If your product isn’t showing up on the pages buyers already read while researching software, there’s a good chance LLMs won’t mention it much either.

The goal today is getting your brand consistently mentioned on trusted pages in your niche instead of collecting random backlinks from websites nobody visits.

How do you know if your link building is working

I’ve seen a lot of SaaS companies building links for months without knowing if anything is improving. Here’s what we usually look at:

Are your lead gen pages moving up in Google?
Your comparison pages, landing pages, and high-intent articles should slowly start ranking higher for the business keywords.

Is traffic growing on those pages?
Check impressions and clicks in Google Search Console. Slow steady growth is usually a good sign.

Are the links sending visitors?
Some placements look good in Ahrefs but sit on pages nobody actually reads. The best mentions usually bring at least some referral traffic over time.

Is your brand showing up more often in AI answers?
LLM visibility platforms like Allmond can help track whether your company starts appearing more often in responses from ChatGPT, Claude,Perplexity AI, or Google Gemini.

Most SaaS link building campaigns start showing results in about 2–3 months, while bigger traffic growth usually comes over 3-6 months. If someone promises huge results in 30 days, I’d be careful.

How we build links at Quoleady

We’ve been doing SaaS-only link building for five years. Our client list is exclusively B2B software companies, which means our entire network – the blogs we work with, the editors we have relationships with, the exchange partners we coordinate – is built specifically for the SaaS ecosystem.

Every link we place is checked against a consistent set of criteria before we proceed like topical relevance to the client’s niche, organic traffic, domain rating, spam score, dofollow status, outbound-to-inbound link ratio, and whether the client already has a link from that domain. We don’t work with content mills or PBNs. Every placement is an editorial, in-content link from a solid website with an actual audience.

PassKit, a mobile wallet solutions provider, is one of the clearest examples of what this looks like over time. They’ve worked with us for four years and rely entirely on our content and link building strategy for their organic growth. Over 14 months of focused work, we generated 876 leads from 26 articles by pairing high-intent content with a consistent backlink building programme that built authority around the topics their buyers were actually searching for. 

I always recommend treating link building as a long-term investment, which is how we structure every engagement.

Our three core link building services work in tandem. Guest posting puts you in front of editorial audiences in your niche. ABC link exchanges build your backlink profile with relevant SaaS domains from our established network. And our Listicle Outreach Service gets you featured in the comparison content your buyers are reading, and the content AI models are pulling from.

Putting it all together

SaaS link building in 2026 is much simpler than most SEO advice makes it sound.

The goal is to get your product mentioned on trusted websites your buyers already read and trust, then keep doing it consistently over time.

That can happen through guest posts, listicles, PR, integrations, affiliate content, expert quotes, or product reviews. All of it adds up. A strong mention on a good SaaS website can help your rankings for years and also increase the chances of your brand showing up in AI answers.

What changed is that people stopped obsessing so much over raw backlink numbers and whether a link is technically a dofollow. Visibility, relevance, and strong mentions on pages people actually visit now matter much more.

If you want to understand where your backlink profile stands today, what’s holding your rankings back, and how your brand appears in AI search, you can book a free strategy call with Quoleady. 

Frequently Asked Questions (FAQs)

What is SaaS link building in 2026?

SaaS link building in 2026 is basically getting your product mentioned and linked on trusted websites through reviews, comparisons, listicles, PR, integrations, and other industry content.

Those mentions help your software rank higher in Google and make it more likely to appear in AI answers from ChatGPT, Perplexity AI, and similar platforms.

Why is link building important for SaaS companies?

Organic search is still one of the best growth channels for SaaS, but content alone is usually not enough. Backlinks and brand mentions help Google understand which companies are trusted and worth ranking higher. Without them, even good content can struggle to compete for valuable keywords.

There’s also a compounding effect: once your site starts earning strong mentions and links, new pages usually rank faster. And in 2026, those same mentions also help with visibility in LLMs

Is link building still relevant to SEO in 2026?

Yes. Backlinks still matter a lot in 2026, both for Google rankings and overall online visibility. What changed is that low-quality links are much easier to ignore, and sometimes they can even hurt. A few strong, relevant mentions on trusted websites usually do far more than hundreds of weak links nobody actually reads or visits.

What should you avoid in link building?

Avoid cheap mass link packages, spammy outreach blasts, and links stuffed into footers or author bios nobody reads. Chasing DR without thinking about relevance is another common mistake. The same goes for building links aggressively when there’s barely any good content on the site. Most shortcuts are pretty easy to spot now, both for Google and for people.

How long does it take to see results?

Most SaaS link building campaigns start showing results in about 2-3 months, while bigger traffic growth usually comes over 3-6 months. It depends on your starting point, competition, and how consistently you’re building mentions and links. If someone promises huge results in 30 days, I’d honestly be careful.

The post 11 SaaS Link Building Strategies: What Works & What Doesn’t in 2026 appeared first on Quoleady.

This is the most common situation we see when new clients come to Quoleady. The content itself is often good. But no one has really stepped back to ask: is it the right content? Is it targeting the right audience? And is it structured in a way that Google and LLMs can actually find and use it?

A content audit answers all of those questions. And when done right, it’s often the fastest ROI move a SaaS company can make.

We’ve done this for over 100 SaaS companies, including Effy AI (0 to 60,000 organic clicks/month), FullSession (500 leads from 16 articles in 4 months), and PassKit (876 leads from 26 articles). What follows is the exact checklist we use. It is updated for 2026, including a full section on auditing for AI visibility.

Before you start: set a clear goal for your audit

A content audit without a specific goal is just a spreadsheet exercise. You’ll spend hours cataloguing URLs and then have no idea what to do next.

Before you open Screaming Frog or Google Search Console, decide what problem you’re trying to solve. There are three common goals for a SaaS audit:

1. Recover lost rankings: Traffic dropped after a Google update, or articles that used to rank have slowly slipped. You need to find what changed and fix it.

2. Improve conversions from existing traffic: You have decent traffic but almost no demo requests or trial signups coming from the blog. The content is reaching people but it’s always the wrong ones, or failing to move them.

3. Prepare your content for AI visibility: Your content isn’t showing up in ChatGPT or Perplexity answers. You need to understand why and what to fix.

Most SaaS founders who come to us have a combination of all three. Your goal shapes which parts of this checklist you should prioritize. If you’re mainly worried about rankings, lean harder on Steps 2 and 4. If conversions are the issue, Step 3 is where to spend the most time. If AI visibility is the goal, Step 6 is where the real work happens.

Step 1: Build your content inventory

You can’t audit what you can’t see. Start by pulling together every indexed page on your blog into a single spreadsheet.

Which tool to use depends on your situation:

• Blog under 100 posts: Export directly from Google Search Console (Performance report → Pages), then filter to blog URLs only
• Blog over 100 posts: Use Screaming Frog (free up to 500 URLs) or Ahrefs Site Audit for a full crawl
• If you have Ahrefs or SEMrush already: Their site audit tools will do this faster and give you performance data alongside the URL list

What to include in your spreadsheet for each URL:

• Full URL
• Page title
• Target keyword (what you intended to rank for)
• Current GSC position (average over last 3 months)
• Monthly organic sessions (from GA4 or GSC)
• Monthly impressions (GSC)
• CTR (GSC)
• Last published or updated date
• Number of backlinks (from Ahrefs or SEMrush)
• CTA present? (yes / no)
• Conversion data, if you’re tracking blog conversions in GA4 (optional but useful)

What to leave out of your audit scope:

• Noindex pages
• Thank-you pages and confirmation pages
• Product feature pages, pricing, and homepage (those belong in a separate SEO audit)
• Press releases or one-off event posts that you never intended to rank

Once the spreadsheet is built, you have your audit universe. Everything from here happens inside it.

Step 2: Audit SEO performance with real benchmarks

This is where most content guides fall short. They say “analyze your traffic metrics” and leave it at that. What you need are clear rules for when a number triggers action.

Here’s how we evaluate performance at Quoleady.

Traffic signals

Flag for review if:

• The post has been live for 6+ months and gets fewer than 50 organic sessions per month
• Sessions have dropped more than 30% year-over-year with no seasonal explanation
• The post ranks outside position 20 for its target keyword and has fewer than 10 backlinks

Hold off if:

• A post is fewer than 4 months old because most SaaS content takes 4–6 months to build ranking momentum. Google is still evaluating new content, building signals around it, and accumulating the user engagement data it uses to confirm ranking decisions. Flagging a three-month-old post as “failing” and pulling it before it has had time to work is one of the most common audit mistakes we see. In fact,  Ahrefs’ analysis of 2 million pages found that the vast majority of pages ranking in the top 10 are over 2 years old. So the top-10 rankings for newer pages are the exception.
• Traffic is low but the post has backlinks pointing to it. That link equity is worth preserving, even if rankings haven’t materialised yet

CTR and metadata issues

A post that ranks in positions 4–10 with a CTR below 1% is likely to have a title or meta description problem. These positions still get a reasonable share of impressions, which means people are seeing your link in the results. 

If they’re not clicking, the headline isn’t giving them a clear reason to. The content could be excellent. The meta title might be too generic, too keyword-stuffed, or simply less clickable than the competition above it. 

Before scheduling a full rewrite, try updating the title to be more specific, more benefit-driven, or more directly aligned with what the searcher wants.

Conversion check

In GA4, check whether any conversion events (demo requests, trial signups, contact form submissions) are attributed to blog URLs. But before you start flagging everything that isn’t converting, manage your expectations because most blog posts don’t generate direct conversions, and that’s fine.

Only a small share of your articles, say typically 10% or fewer, will ever show a direct conversion. The rest help in building brand awareness, nurturing readers who aren’t ready to buy yet, establishing topical authority that strengthens the whole domain, and supporting the posts that do convert through internal linking.

A top-of-funnel explainer about a broad industry problem isn’t supposed to generate demo requests. If it’s pulling in the right audience, building organic reach, and passing readers toward more conversion-oriented content, it’s working. 

A bottom-of-funnel comparison article like “your tool vs. competitor X” absolutely should be converting. If it isn’t, that’s where to you need to look into. Check if the CTA is in the right place, if the article is reaching buyers who are evaluating options, and if the content positions your product as the better choice or not.

We’ll go deeper on the ICP alignment and CTA check in Step 3.

Step 3: Check content quality and ICP alignment

SEO metrics tell you what is happening. This step tells you why.

For each post you’ve flagged, do a manual read-through and ask:

Quality checks:

• Is the information still accurate? (Pricing, features, competitor comparisons, and statistics go stale fast in SaaS). An article citing 2022 data or describing a competitor’s old pricing tier is actively working against you.
• Are any internal or external links broken?
• Is the content genuinely useful, or is it thin and generic? A lot of SaaS blog content technically answers the question but adds nothing to the conversation. It’s the same five tips, in the same order, as the ten articles ranking above it. Google’s helpful content guidance is explicit that content which recycles what’s already widely available, without adding original analysis or real-world experience, is unlikely to rank well and even less likely to be cited in AI answers.
• Does the article contain anything only you could have written? This is the EEAT question. Does it include a client example, a result from your own work, a framework you developed, a counterintuitive observation from doing this repeatedly? If someone could have copy-pasted the article from any other blog in the category, it has no experience signal. That’s exactly what Google’s quality evaluators and AI systems are screening for. Generic advice from an unnamed author gets passed over. Specific insight, attributed to someone who has done the work, gets ranked and cited.

ICP alignment checks:

• Who would realistically search for this keyword? Are they your buyer, or just someone curious about the topic?
• Does the article speak to your ICP’s specific situation, or does it give generic advice that could apply to any industry?
• Is there any product context? Does the article show how your SaaS specifically solves the problem, or does it read like it was written for any company in any category?
• Does the CTA match where the reader is likely to be in their journey? Someone reading a very top-of-funnel explainer post is probably not ready to book a demo. For this target audience, a resource download or newsletter signup is more appropriate.

The ICP alignment check is where most SaaS blogs leak leads without knowing it. Here’s a real example.

When we started working with FullSession, a web analytics SaaS, their blog had decent content but almost no conversions. They’d been writing for a broad audience like marketers, designers, or anyone interested in UX. But their actual buyers were product managers and SaaS founders actively evaluating session recording tools. We shifted strategy to mid-funnel comparison content aimed directly at those buyers. 

We wrote articles like “HotJar alternatives” and positioned FullSession as the top option, attracting readers already actively shopping in the category. As a result, they got 500 leads from 16 articles in four months, starting from a domain with a DA of 2 and zero backlinks. The content volume barely changed. The ICP targeting and keyword intent did.

The same pattern appeared with PassKit, a mobile wallet solutions provider. Their blog had content, but it wasn’t targeting the bottom-of-funnel buyers who were ready to make a purchasing decision. Redirecting the content strategy toward high-intent keywords and product-led articles generated 876 leads in 14 months from just 26 articles.

Step 4: Find and fix keyword cannibalization

Keyword cannibalization is when two or more of your articles are targeting the same (or very similar) keyword. Google has to pick one to rank. It might pick the wrong one. As a result, both end up ranking poorly.

This is common in SaaS blogs that have been publishing for 2+ years without a content calendar or keyword map.

How to find it:

Export all target keywords from your audit spreadsheet and sort alphabetically. Look for duplicates or near-duplicates. If you’re not sure which posts overlap, search Google for site:yourdomain.com [keyword] and see how many of your own pages show up.

For example, we ran this search using our domain for the keyword ‘SaaS content marketing strategy’. It shows 4 results at the top, these are articles targeting “SaaS content marketing strategy,” “SaaS content strategy,” “best SaaS content marketing blogs,” and “SaaS content marketing tools.“

This is fine because each url targets a meaningfully different keyword with different intent. Cannibalization is when multiple posts compete for the exact same keyword, not when related topics appear together.

One question we hear constantly from clients: “Should we even be writing listicles for our main business keyword? Won’t a ‘best [category] tools’ article compete with our homepage?”

This is one of the most misunderstood areas of content strategy in SaaS.

A listicle like “best LinkedIn automation tools” and a product homepage for a LinkedIn automation tool are targeting completely different intents. Someone searching for a list is in research mode, comparing options, not yet ready to commit. Someone landing on your product page is further along. Google understands this distinction, and it won’t penalise you for having both. In fact, it will often reward you.

We saw this with Expandi, a LinkedIn automation SaaS. One of the first articles we ever wrote for them was a listicle – “Top 10 LinkedIn automation tools for lead generation” – where Expandi appeared as the top recommendation. For a period, both their homepage and that article ranked in Google’s top 10 for their core keyword simultaneously. Two spots on page one instead of one. 

The cannibalization risk only becomes real when two articles are targeting the same keyword with the same intent. For example, two separate “HubSpot alternatives” posts that both try to rank for the identical query and serve the identical reader. That’s where you consolidate.

For more precision across your full blog, use Ahrefs’ Organic Keywords report and filter to keywords where multiple URLs from your domain appear in the top 20. Those are your actual cannibalization candidates.

How to fix it:

• If one post clearly outperforms the other in traffic and backlinks, update the winner to absorb the best content from the loser, then 301 redirect the loser to the winner
• If they’re similar in performance and serve different intents, consider updating both to more clearly target distinct angles of the topic
• If both are weak and serve the same intent, merge them into one stronger post, redirect the old URLs

Clean up internal links that still point to the deleted or redirected URL after you make the change.

Step 5: Apply the keep/update/merge/delete framework

Once you’ve gathered performance data, quality notes, and cannibalization findings for every post, you need to make a decision on each one. There are four options.

Keep

Keep a post as-is if:

• It ranks in positions 1-10 and has steady or growing traffic
• It generates conversions or has strong assisted conversion data in GA4
• It has significant backlinks (even if traffic is modest, the link equity matters)
• It’s recent enough that it hasn’t had time to rank yet (under 4 months old)

Update

Within “Update,” there are two levels of effort:

1. Light update

• Improving sections and adding more value
• Updating stats/examples
• Fixing structure, headings, internal links
• Improving CTAs

2. Full rewrite

Do a complete rewrite if:

• The post ranks in positions 15-50 but doesn’t match search intent
• The structure is fundamentally wrong (wrong angle, wrong audience, wrong format)
• The topic is still valuable, but the current execution is weak
• Competitors’ pages are significantly stronger and require a new approach
• The content is outdated to the point that patching it would take longer than rewriting

Merge

Merge two posts if:

• They target the same keyword or very similar intent
• Neither is strong enough to rank on its own, but together they’d make a solid piece
• One has good backlinks and one has better content – combining them creates a better outcome than either alone

Always 301 redirect the absorbed URL to the surviving URL.

Delete

Delete a post if:

• It has had fewer than 50 organic sessions per month for 6+ months and has no backlinks
• It’s purely promotional or seasonal in a way that no longer makes sense
• It creates keyword cannibalization that can’t be resolved by merging
• It’s so outdated it would require a full rewrite, and the keyword isn’t worth the effort

Before deleting, check whether any other pages on your site link to it internally. Update those links to point somewhere relevant. And always 301 redirect deleted URLs, even to a category page, to preserve any residual link equity.

Example: How we apply this at Quoleady

We apply this exact framework to our own blog as well. We’re a small agency, and like most teams, we don’t always have the capacity to constantly publish new content. That’s why a big part of our growth comes from improving what we already have.

Here’s what that looks like in practice:

Updating existing content

For example, we’re currently updating our article on SaaS content strategy to reflect how search has changed. We’re adding a stronger focus on AI search (GEO), updating outdated sections, and aligning the content with how Google and LLMs evaluate content today.

Merging overlapping articles

We’ve also identified several cases of content overlap — multiple articles targeting similar keywords but competing with each other.

For example, we’re merging these posts:

• SaaS Link Building Tips
• SaaS Link Building Strategies
• How to Do SaaS Link Building
• SaaS Link Building: What Really Works

Into a single, stronger page:

SaaS Link Building Strategy in 2026: The Ultimate Guide

This allows us to consolidate authority, avoid cannibalization, and compete with higher-quality pages.

We’re doing the same with our “content writing” articles:

• SaaS Content Writing: Ultimate Guide
• B2B SaaS Content Writing
• B2B SaaS Content Marketing Blog Writing Tips
• SaaS Content Production

These have become:

SaaS Content Writing: The 2026 Ultimate Guide

Updating listicles

We’re also updating list-based content to keep it competitive and aligned with how people search today.

For example:

• Best SaaS Content Marketing Agencies

We’re expanding the list and adding a GEO angle to improve visibility in both Google and AI search. 

When does it make sense to update Publish date? 

If you’ve significantly reworked a piece of content (for example, rewriting large sections, updating structure, or changing positioning), it can make sense to update the publish date or clearly display a “last updated” timestamp.

If you’re updating 50%+ of the article, you’re effectively creating a new version of that content on the same URL.

Step 6: Audit for GEO to show up in AI answers

According to Bain & Company, nearly 80% of consumers use Google AI Overviews for at least 40% of their searches. Meanwhile, according to SparkToro’s 2024 zero-click research, 58.5% of US Google searches ended without a click to any website. 

Rand Fishkin, co-founder of SparkToro, has framed the implication plainly that influence now matters more than traffic. Your buyers may reach a conclusion about their software shortlist before they ever click through to your site.

A growing share of that influence now happens inside AI tools. Statista projects the number of US adults relying on generative AI as their main search tool will rise from 15 million in 2024 to more than 36 million by 2028.

That means your content needs to be inside AI-generated answers..

“The best keyword opportunities aren’t the ones everyone can see — they’re the ones hiding in conversations your prospects are having when they’re not filling out search bars.” — Rand Fishkin, Co-Founder, SparkToro

Here’s how to audit for AI visibility.

Check 1: Test your current AI visibility

Before optimising anything, find out where you stand. Open ChatGPT, Perplexity, and Google’s AI Overview (search a relevant term on Google and see if an AI summary appears) and ask the questions your buyers would actually ask.

For example:

• “What’s the best content strategy for a B2B SaaS company?”
• “How do I audit my SaaS blog?”
• “What tools do I need for SaaS SEO?”

Does your brand or content appear in the answers? If not, that’s the baseline problem you’re solving.

We test this regularly for our clients and have seen structured content play an important role in AI visibility.

For PassKit and its sister brand Loopy Loyalty, restructuring content was one part of a broader effort. We improved clarity, added direct answers, refined headings, and worked on overall positioning across their content.

Over time, both brands started appearing as the top two answers in a ChatGPT response for “loyalty card software providers.”

This wasn’t the result of a single change. Brand authority, existing rankings, topical relevance, and third-party mentions all contributed. But improving how the content is structured made it easier for LLM tools to understand and cite it.

For our another client ResponseScribe, we simplified existing content and answered buyer questions more directly. That same post was later cited in a Google AI-generated summary, before any organic results. We didn’t do a full rewrite of that article but we changed the structure, and made the headings more direct based on search intent.

For ongoing monitoring across clients, we use Allmond. The tool tracks whether your brand appears in AI answers across ChatGPT, Claude, and Gemini. It gives you weekly scans, 0–100 visibility scores, and shareable dashboards. It’s what we use to measure GEO progress over time. You can some of its features below:

You can also check more AI visibility tools in our guide.

Check 2: Structure your content for passage extraction

AI tools extract passages. That’s why each section of your content should be able to function as a standalone answer.

Go through your most important posts and check:

• Does each H2 section open with a clear, direct answer in the first two sentences?
• Are paragraphs short enough to be parsed individually (3-4 sentences max)?
• Do H2 and H3 headings reflect the actual question being answered, not just a topic label?

One of the early research done by Princeton, Georgia Tech, and IIT Delhi on GEO in 2024 found that including statistics, citing sources, and structuring content for direct answers significantly boosts AI citation rates, with some optimisations producing 30-40% higher visibility in AI-generated responses. This was the paper that formally coined the term ‘GEO: Generative Engine Optimization’.

Additionally, Surfer’s analysis of Google AI Overviews found that 67.82% of sources cited in AI answers don’t rank in the top 10 for the same query. AI systems select for extractability and authority rather than for rankings.

LLM tools pull content that’s clear, genuinely useful, easy to summarize, and structured for AI-first indexing. That’s why it’s important to repurpose content for LLMs. You can use these 10 content formats LLMs actually pick up, if you want more visibility in ChatGPT answers.

Check 3: Schema markup

Check whether your blog posts have Article schema. For any post with a FAQ, a how-to list, or a step-by-step process, add FAQ schema or HowTo schema. Schema markup gives AI crawlers clear, machine-readable signals about the structure and meaning of your content.

In March 2025, Fabrice Canel, Principal Product Manager at Microsoft Bing, confirmed at SMX Munich that schema markup helps Microsoft’s LLMs understand web content, specifically for Bing’s Copilot AI. That’s an official statement from one of the major AI platforms confirming they use structured data when parsing and answering queries. 

Use Google’s Rich Results Test to validate your implementation. It usually takes just a few minutes per page to check whether your schema is valid, though adding or fixing markup can take longer depending on your setup. 

If you want to check structured data across your entire blog at once (and realistically, who has time to go page by page?), run a Screaming Frog crawl and use the Structured Data tab under the SEO menu. It will show you which pages have schema, which type, and flag any errors or warnings, across your entire site in a single pass.

We’ve written a detailed breakdown of which schema types matter most for LLM visibility and exactly how to implement them in our guide: Schema & Structured Data for LLM Visibility.

Check 4: EEAT signals on each post

AI systems, like Google’s Quality Raters, favor content with clear experience and expertise signals. Check each of your important posts:

• Does it have a named author with a bio that includes their credentials or experience?
• Does it cite external sources with links?
• Does it include original data, client examples, or first-person observations?
• Is there a “last updated” date visible on the page?

These signals tell AI retrieval systems whether to trust a source enough to cite it.

Research from Alllmond’s blog on the role of expert quotes in earning LLM citations shows that articles with prominent pull quotes containing specific statistics or findings see significantly higher LLM citation rates compared to similar content without them. AI systems reward specificity and attributed expertise. Generic advice from no-named authors gets passed over. Named experts with real credentials, citing real data, get cited.

This aligns with what Google Search Central’s documentation states about high-quality content that EEAT signals are foundational for surfacing in AI-driven search experiences.

Check 5: Are you blocking AI crawlers?

Check your robots.txt file at yourdomain.com/robots.txt. If it blocks GPTBot, ClaudeBot, PerplexityBot, or Google-Extended, you’re actively preventing AI tools from reading your content.

Many SaaS sites added broad bot-blocking rules during 2023 and never revisited them. If your content is blocked from AI crawlers, none of the other GEO work in this checklist matters because the tools literally cannot access it.

You can check this in two minutes. Look for any Disallow rules that apply to AI crawlers, and remove them for pages you want to be discoverable.

Beyond robots.txt, two other technical additions are worth making:

1. Llms.txt: This is a simple Markdown file you add to your site that gives AI models a structured summary of your most important pages and what they cover. It helps AI tools prioritize and correctly understand your content during retrieval. So you need to set up llms.txt files on your website.
2. LLM traffic tracking in GA4: Once AI crawlers can access your content, you need to know whether they’re actually sending traffic. GA4 doesn’t automatically categorize this. You’ll need to set up a custom exploration using a regex filter across Session source/medium to capture traffic from sources like ChatGPT, Perplexity, Gemini, and Claude. Our step-by-step guide to building this report in GA4 covers the exact regex string and setup.

After the audit: what to do in the next 30 days

The audit gives you a list. Now you need a plan.

Don’t try to fix everything at once. Start with the posts that rank between positions 4–20 and have either low CTR or low conversions. These pages have existing Google trust and will move fastest when you improve them.

A practical 30-day priority order:

1. Week 1: Fix all technical issues like broken links, missing schema, noindex errors, AI crawler blocks in robots.txt, set up LLM tracking in GA4
2. Week 2: Update the top 3–5 underperforming posts with real ranking potential (positions 4–20, existing backlinks)
3. Week 3: Execute merges. Set up 301 redirects. Clean up internal links.
4. Week 4: Delete or noindex posts you’ve decided aren’t worth keeping. Update posts with outdated information that still get meaningful traffic.

After 30 days, use GA4 to compare the before-and-after window for the specific pages you updated. Changes in organic sessions, CTR, and conversions are your leading indicators.

For ongoing cadence, we recommend a full content audit every 6 months for SaaS companies actively publishing. If you’ve had a major product update, a pricing change, or a shift in ICP, audit immediately, and don’t wait for another 6-months.

That said, not all content deserves equal attention between audits. Your highest-value lead gen articles – bottom-of-funnel comparisons, alternatives pages, pricing articles – should be reviewed much more frequently than the rest of your blog. When we were working with our client Chanty, we updated our most important article, “Slack alternatives,” every single month. Rankings in that category changed constantly, competitors updated their pricing, new tools entered the market. A month-old version of that article was already losing ground. For a page that’s actively generating signups, that kind of cadence pays for itself.

Topical authority content, with broad educational articles that build domain authority and support your lead gen pages through internal linking, can be deprioritised between audits. It’s still worth reviewing twice a year, but it doesn’t need the same hands-on attention as the posts that are directly responsible for bringing in leads.

The closer a post is to a conversion, the more often you should be looking at it.

Wrapping up

A content audit done properly is a strategic reset that shows you which of your content investments are working, which aren’t, and what to build next.

This checklist covers the full process from inventory, performance benchmarks, quality and ICP alignment, keyword cannibalization, to a four-action decision framework. Most importantly, the piece most SaaS teams are still missing in 2026, an AI visibility audit that makes sure your content shows up in LLM tools.

You can work through this yourself using the steps above. Or let our team at Quoleady handle it – we’ve done this for 100+ SaaS companies.

Book a free call with Quoleady and we’ll tell you exactly where to start.

Frequently asked questions

How long does a SaaS content audit take? 

For a blog with 50-100 posts, expect 2-3 days of focused work to build the inventory, collect data, and make decisions on each post. For 200+ posts, a thorough audit typically takes 2-4 weeks. At Quoleady, we scope content audits to be completed within a month by focusing on the pages that matter most.

How often should I audit my content?

Every 6 months is a solid cadence for an active SaaS blog. Monthly, do a lighter review of newly published content performance in GSC as well as your top lead get content. After any major Google algorithm update, check your traffic in GSC to identify which posts were affected before your next scheduled audit.

What’s the difference between a content audit and an SEO audit?

A content audit looks at how well your content performs and aligns with your audience and goals. An SEO audit looks at how well your site is set up for search engines, including technical health and on-page optimization.They complement each other. Fix critical technical issues first, then improve content for better results.

What tools do I need for a SaaS content audit?

For most audits, Google Search Console (free), GA4 (free), and Screaming Frog free version for crawling are enough. If you have Ahrefs or SEMrush, use those for backlink data and keyword position tracking. For AI visibility monitoring, you can use Allmond.

Should I delete underperforming content?

Not everything should stay. The old instinct to “keep everything” works against you in 2026. Thin, outdated, or redundant content dilutes your site’s topical authority and can pull down the overall quality signals Google and AI systems use to evaluate your domain. That said, always 301 redirect deleted URLs, don’t just remove pages without a redirect in place.

The post SaaS Content Audit: Check What’s Hurting Rankings & AI Visibility appeared first on Quoleady.

Google is still helpful, obviously, but AI Mode in Google is already solving most of my tasks without the need to click blue links and open multiple tabs.

And it’s only been around for several years.

So despite all the popular myth-busting around “LLM traffic is less than 5% of overall traffic,” the shift toward LLMs feels inevitable to me. The adoption will surely grow further, and as marketers, we have to embrace it and adapt.

What’s interesting is that we’re already seeing this in our own business.

When I ask potential clients where they heard about us, many of them say:
“ChatGPT” or “other LLMs.”

For an agency that helps SaaS brands get cited by AI, that’s quite a strong signal that this channel is working.

At Quoleady, we research LLM visibility from a SaaS B2B angle. We focus specifically on high-intent prompts, the kind buyers use when they’re comparing options or looking for alternatives to tools they already use.

This article is everything we’ve learned. It’s built on our own research and data from thousands of AI citations, combined with direct input from experts: SEO specialists, content strategists, agency founders, and GEO consultants, who shared what’s actually working in their client work right now, what they’ve tested, and what they’ve stopped doing. 

Want AI to Cite You? Start With Listicles

I said it before: “It’s rare to find a marketing effort that can compete with listicles on ROI.”

Quoleady is featured in 90+ listicles across the internet for B2B SaaS content marketing. Getting featured in those listicles is what built our AI visibility, and it’s the same work we do for our clients. From our own data, we’ve found a strong correlation between appearing in top-ranking listicles and showing up in high-intent AI-powered answers.

Top-ranking listicles are the dominant citation source across AI tools. Our LLM citations study of 10,000 citations found that they account for 50% of all citation sources.

So if you’re a SaaS company or agency looking to get cited by AI, you need to publish listicles on your own website and get featured on third-party sites through outreach. The more listicles you appear in, the better your LLM visibility.

The goal is to target top-ranking listicles for your core business keywords, like: “tools”, “software”, “alternatives”. Headlines like: “Top 11 LLM Visibility Tools in 2026” and “Best Profound Alternatives for Agencies” are exactly the format you’re after.

But why does this matter so much? 

In SaaS, potential customers rarely make quick decisions. Before committing, they research thoroughly and compare options. They look for brands that understand their problem and feel equipped to solve it. 

Listicles meet that need perfectly. They offer structure, a clear breakdown of options, and obvious next steps, making them one of the most effective formats for reaching high-intent buyers. These are the articles people read right before making a purchase decision.

Sreeram Sharma, SEO Consultant at Angleout, puts it well: “I mainly work with SaaS websites, and whenever we begin an SEO campaign, the very first thing I suggest is to publish more BOFU and MOFU content. This primarily includes listicles, alternatives, and comparison guides. We have also checked it on Google Analytics, and these are the pages that have brought us the most traffic from AI overviews, apart from the homepage.”

If you want practical tips on how to write listicles that get cited by AI, this article is worth a read.

Not All Listicles Get Cited: What Separates the Ones That Last?

Listicles may be the top format for AI citations, but they’re also hard to write well. A 10-item listicle is essentially 10 mini-articles in one. Each entry needs its own description, use case, features, pros, cons, and pricing. It takes real time and research to get right.

Most listicles online skip that work. They rehash the same points, rely on keyword stuffing, and hope nobody notices. The ones that actually get cited are built on real experience: tested tools, honest opinions, and specific details that readers can’t find anywhere else.

We stand by this at Quoleady. Our Director of Operations, Iryna Kutnyak, puts it this way: “A key part of the process was actually testing each competing tool ourselves rather than compiling information from existing articles. We created accounts, set up campaigns, explored features, and documented differences between products. This allowed us to include concrete details and real comparisons instead of repeating the same information already circulating online.”

She also noted that publishing large volumes of generic, AI-optimized content tends to underperform: “Listicles based on real product testing are much more likely to appear in AI answers than articles that simply compile information from secondary sources.”

Ugljesa Djuric, Founder and CEO at ContentMonk, echoes this: “Write deep, honest listicles and comparison articles. Cover the real questions buyers have. Include genuine comparisons and opinions. Do it well, and AI doesn’t just cite you—it starts forming opinions about your entire category based on your content.”

Content Depth and Expertise Matter More Than Volume

Most advice about AI visibility defaults to the same playbook: publish more, optimize harder, scale faster. Amit Raj, Founder and Link Building Consultant at The Links Guy, ran an experiment that challenges all of that.

Over the past year, he has published zero new content. Instead, he took six existing blog posts and refreshed them heavily with practitioner-only observations and specific examples. “After refreshing them, I started appearing in more AI Overviews for relevant US keywords.”

That’s what actually made the difference. Forget about the word count or publishing frequency and focus on making sure your content adds something that doesn’t already exist online.

He also noticed something interesting: “My ‘Manual Link Building’ page wasn’t refreshed and wasn’t ranking highly, but it still appeared in AI Overviews. It has strong internal linking through my mega menu and footer. Google may be treating it as a topical hub, which seems to compensate for recency.”

It’s a reminder that topical authority and domain authority, which AI systems understand through smart site structure and internal linking, can carry weight, even when individual pages haven’t been recently updated.

Katya Rozenoer, Co-founder of Blastra, tells the same story from a different angle. Starting with an unknown domain and zero reputation, her team skipped generic SaaS content entirely and went deep on their niche: B2B software directories. They built a knowledge hub around it, a directories database, guides for each directory, a catalog of software badges and awards.

The results came faster than expected. “We started this content work just about a month ago, and it’s already bringing results. Try asking an LLM how to earn Capterra badges, how Trustpilot recognition works, whether Gartner Peer Insights is worth it, or how to get ranked on G2—we will be listed among the sources, often above the original sources themselves.”

She says: “There are no hacks or easy recipes. We ensure our brand has the authority of directories that explain to LLMs what we do, and then our content speaks for itself.”

Using Stats, Data, and Expert Citations Makes Your Content More Visible to AI

Did you know that adding statistics, expert citations, and quotes from relevant sources can boost your content’s visibility in AI-generated responses by up to 40%? Researchers from Princeton University and IIT Delhi confirmed this after testing nine generative engine optimization strategies against 10,000 real-world queries to find out what actually gets content cited by AI.

The reason these elements have such a strong impact comes down to how AI platforms are built. When you ask ChatGPT or Perplexity a question, the platform doesn’t just generate an answer from memory. It first retrieves relevant content from the web, evaluates it, and uses it to construct a response. 

This process is called Retrieval-Augmented Generation, or RAG, and it’s what makes the quality of your content so important for AI visibility. 

AI systems look for sources that appear credible and trustworthy. A named expert with a title, a company, and something specific to say is one of the clearest trust signals they can detect. Original statistics, proprietary research, and concrete numbers work the same way. They give AI something solid to anchor its answers to.

Expert quotes also help you reach a wider audience (if you make sharing easy). When you feature someone in your article, they have a reason to share it. Their name is on it, their insight is in it, and most contributors will post it on LinkedIn without you even having to ask. Tools like RoundupHero make this easier by turning each contribution into something contributors can quickly share.

So one article with ten expert quotes can turn into ten LinkedIn posts, each reaching a completely different audience, boosting citation odds, improving AI retrieval, and driving direct traffic back to your site.

Third-Party Source Coverage Is the Gap Most SaaS Brands Miss

Listicle outreach has become very competitive and expensive. Some of the listicles can go as high as $9,000, based on our experience. But it’s also very important to do it, and the prices actually signal how much the market values these placements. 

When you launch a new SaaS product, nobody knows you exist. You can publish the best content in the world, but if the only place talking about you is your own website, AI systems have very little to work with. 

That’s why third-party source coverage is so important. The more places that mention you, describe what you do, and associate you with the right keywords, the clearer the picture AI has of your brand. For new businesses, especially, it’s how you get on the map.

Iryna Kutnyak, Director of Operations at Quoleady, has seen this play out directly with clients: “AI answers tend to aggregate information from multiple sources, so when a product appears both on its own comparison pages and across independent listicles, it becomes easier for models to recognize and reference it.”

The results back this up. “On one client campaign, the comparison content cluster alone generated 30–40% of new organic traffic within a few months, with conversion rates two to three times higher than standard blog posts.” That’s the compounding effect of showing up in multiple places at once: better AI visibility, more organic traffic, consistent brand signals across the web, and higher-intent visitors when they land.

That said, not all placements deliver the same return. Evelina Milenova, Senior SEO Specialist at Hostinger, secured 67 listicle features for a single brand in late 2025 and tracked exactly which ones held up. One placement stood out: a listicle on a direct competitor’s site targeting the main comparison keyword for that category. It drove AI Overview appearances for four months! Most other placements: affiliate sites, guest posts, and industry news sites disappeared from AI citations within two weeks.

Her conclusion: “If your link-building resources are limited, exploring ways to get mentioned on competitor listicles will give better and longer-lasting results. LLMs have a strong recency bias, so if you stop producing new content or updating existing content, citations will sharply drop within a month.”

The same logic applies to Digital PR. Matthew Foster, Senior Digital PR Manager at Distinctly, found that not all media coverage carries equal weight when it comes to AI visibility. His team analyzed 6,780 data points across 452 UK publications to understand which ones AI crawlers can actually access, so they could target those when building media lists for clients. 

It worked: “By prioritizing AI-open publications, we secured coverage in The Independent for a client, and that coverage began appearing in AI results for related keyphrases. Digital PR can influence AI visibility in two ways: directly, through coverage in publications AI crawlers can cite, and indirectly, by building the brand’s authority and expertise over time.”

The takeaway across all three examples is the same: third-party coverage matters, but where you appear matters just as much as how often.

Are Review Platforms Still Worth It for AI Visibility?

Review platforms like G2, Capterra, and GetApp are just as important to get right.

At Quoleady, we tested dozens of high-intent “alternatives” keywords to find out how G2 and Capterra Reviews Influence ChatGPT Rankings. Think “Trello alternatives,” “Zapier alternatives,” and “Slack alternatives”. Then we asked ChatGPT for its recommended tools for each and analyzed how much weight review platforms carried in shaping those responses.

The results were clear: 100% of the tools mentioned in ChatGPT answers had reviews on Capterra, and 99% had reviews on G2. These platforms act as a basic inclusion signal. If you’re not listed, you’re likely invisible to AI altogether.

That said, review presence alone won’t get you ranked. We also found that some tools with strong review profiles still ranked lower than others with fewer reviews and weaker ratings. G2 and Capterra help establish legitimacy in the eyes of AI, but they don’t determine placement. Being on review sites is just the starting point. 

Be sure to check out our entire LLMO research.

Reddit and LLMs: How Much Do They Overlap?

Review platforms are not the only place where AI picks up signals about your brand. User-generated content (UGC) platforms like Reddit and Wikipedia matter too, and the data backs it up.

Reddit’s dominance in Google search grew significantly between 2023 and mid-2025, making it the second-most visible domain in Google Search in the US, according to Sistrix. But the picture has shifted since then. Reddit’s search visibility began declining after August 2025, dropping to the fourth-most visible domain in Google USA. 

We ran an experiment to find out whether Reddit influences what AI tools recommend. We took dozens of high-intent “alternatives” keywords where Reddit ranks in Google’s top five search results, analyzed which tools Reddit was recommending, then asked ChatGPT, Claude, Perplexity, and Gemini the same questions and compared the results.

The overlap between Reddit SEO and LLM optimization was real but partial. Perplexity aligned with Reddit most often at 39%, followed by Gemini at 38%, ChatGPT at 33%, and Claude at 31%.

Well-known tools like Notion, Slack, and ClickUp showed up everywhere. But some tools that dominated Reddit threads never appeared in a single AI response, usually because their mentions were buried in posts Google couldn’t crawl or index properly.

Reddit does influence AI answers, but indirectly. If Reddit ranks for your keywords, being part of those conversations is worth it. But it’s just one piece of a much broader source coverage picture.

Rokas Stankevicius, Founder of AIclicks, has seen this firsthand: “The biggest insight from tracking brands: the gap between you and your top competitor is almost always source coverage, not content quality. AI engines pull info from Reddit threads, blog posts, directory listings. Once you know which sources aren’t mentioning you, the actions become obvious. Brands that follow this process consistently see 20–25% visibility gains within a few weeks of taking action.” 

Andrii Shum, Head of SEO at SeoProfy, agrees that source coverage matters more than any single platform: “The key thing is trying to get your brand mentioned on the pages that are cited in AI answers, whether it’s Clutch or Reddit is secondary.”

He also flags something worth keeping in mind: tracking the impact of these efforts is genuinely difficult. In most cases, LLMs don’t provide a direct link—users copy the brand name and search for it separately. “We monitor prompts in Ahrefs Brand Radar, but the data is still far from accurate.”

Google Rankings and AI Citations Go Hand in Hand

Optimizing for AI visibility builds on the same fundamentals that have always driven good SEO: authoritative content creation, strong backlinks, clear site structure, and topical depth.

AI systems and traditional search engines are both trying to solve the same problem: find the most credible, relevant content chunks for a given query. They often reach the same answer.

Stanislav Farkas, SEO Specialist at FASTrategies, tested this directly. He compared the sources cited by Perplexity with Google Search results for the same query and found a strong overlap: most of the pages Perplexity cited were already ranking on page 1.

His conclusion is practical: “Ranking in top Google positions is still the biggest driver of appearing in AI answers. Focus on BOFU and money pages, build strong topical authority and brand presence. Use an 80:20 approach: a solid SEO foundation making up around 80%, complemented by AI-focused optimization for the remaining 20%. Once pages reach top positions and demonstrate real expertise, they start getting picked up more consistently in AI answers.”

The takeaway is simple. You don’t need to choose between traditional SEO and GEO. Chasing AI visibility in the AI era without a strong SEO foundation is building on sand. Get the fundamentals right first, and AI visibility tends to follow.

Amit Raj, Founder and Link Building Consultant at The Links Guy, saw the same pattern play out through his own link-building activity. Over nine months, he built around 46 backlinks to his site, seven of which carried branded anchors, including a placement on an SEO courses listicle. 

The result: LLM traffic nearly doubled, going from 89 clicks in the previous six months to 169 in the following six.

In his own words: “Small sample, but hard to call a coincidence given how competitive my target keywords are.”

It’s another example pointing in the same direction. Stronger SEO signals: backlinks, brand mentions, and authoritative placements feed into the same credibility framework that AI systems rely on.

Matt Emgi, Founder at Emgi, ran a controlled experiment to dig deeper into how backlinks improve AI visibility. 

He built content pages targeting high-intent BOFU keywords, then ran those queries through ChatGPT and AI Overviews before writing, aiming to capture the exact phrasing AI systems use to describe product features, category benefits, and model advantages. 

He wrote the pages using that same vocabulary, then built backlinks with anchor text and surrounding context that matched the same language and framing. Within four weeks, the pages were being cited in both Google AI Overviews and ChatGPT.

His conclusion: “AI systems cite the page that says what they already think the answer is, in the words they already use. If you write in your own internal product vocabulary, you’re invisible. If you mirror the language the model is producing, you become an easy citation.”

That said, the overlap isn’t total. Do you have an article that gets zero traffic and ranks for no keywords? Most people do. Well, it can still be cited by ChatGPT.

Ahrefs research found that 76% of AI Overview citations come from pages ranking in Google’s top 10. But ChatGPT behaves differently: it cites content outside the top 10 far more often. So while Google rankings are still the strongest predictor of AI visibility overall, they’re not the only path in. Some content that never wins in search is quietly doing its job inside AI conversations.

As I’ve put it in a recent LinkedIn post: “Content doesn’t ‘not work.’ It works in different places now.”

Jared Carrizales, Fractional SEO Manager at JaredCarrizales.com, adds a technical dimension relevant to marketing teams and brand marketers working on AI visibility: “AI platforms need credibility and confirmation when considering what to include in answers. Authoritative mentions and high-quality backlinks drive credibility. The best place for confirmation, in my opinion, is relational structured data on the website itself.”

He tested this with a large manufacturer that had solid credibility and decent site architecture, but wasn’t showing up in any AI platform. After implementing schema markup across their materials pages and elaborating on the chemical makeup of their products, many of those pages began appearing on multiple AI platforms within days. 

Rick Tousseyn, GEO & Content Strategist at OtterlyAI, adds an important nuance here. His own experiments found that schema markup’s impact on AI search is more limited than many assume: “Many AI search platforms strip the schema code when converting webpages to markdown. Research data shows that the impact of structured data is largely limited to the Google ecosystem: classic search, AI Mode, and AI Overviews, rather than broader LLM visibility.”

The pattern both experts point to is the same: structured data works as a confirmation layer, but only when external credibility signals are already in place.

What Practitioners Have Stopped Doing

LLM visibility is still new enough that many tactics get hyped before anyone has properly tested them. Practitioners who have been doing this long enough have started to notice what moves the needle in digital marketing and what just sounds good on LinkedIn.

Iryna Kutnyak at Quoleady was direct about one of the most common mistakes: “Publishing large volumes of generic ‘AI-optimized’ content rarely moves the needle unless the page already has strong structure, topical authority, and external mentions.” Writing specifically for large language models (LLMs), without the fundamentals in place, doesn’t work.

Stanislav Farkas at FASTrategies echoes this: “Shortcuts and overusing listicles don’t work as well as people think. Publishing large volumes of ‘best tools’ articles outside your niche and inserting your product everywhere might work short-term, but it’s not sustainable. AI systems increasingly favor relevance, authority, and consistency over volume.”

Andrii Shum at SeoProfy adds that classic guest posts, where the brand is barely mentioned, don’t help with LLM rankings either. And Sreeram Sharma at Angleout tested llms.txt files across multiple client sites and saw no improvement in visibility whatsoever.

The honest conclusion belongs to Ugljesa Djuric at ContentMonk: “There are no universal rules here. What works for one set of prompts in one industry might not work in another, or even for different prompts in the same industry. That’s why tracking daily data with an AEO tool matters. You need to see what’s actually happening and act on it.”

What Gets Tracked Gets Improved

Ugljesa’s point holds true across every channel: if you’re not measuring what’s happening, you’re optimizing in the dark. With LLM visibility, that problem is even harder to ignore. 

Unlike traditional SEO metrics like Google rankings or search volume, which you can check daily in Google Search Console, AI citations are harder to see. Your brand might be surfaced by AI assistants dozens of times a day or completely ignored. There is no way to know for sure without the right tools.

AI monitoring tools track where and how often your brand gets mentioned across major LLMs, the sentiment surrounding those mentions, which competitors are being cited instead of you, and how you can improve your AI visibility. 

There are many LLM tracking tools on the market, such as Peec AI, Profound, Scrunch AI, and Otterly. They all track brand visibility across AI platforms in a similar way, but differ in features, depth, and pricing. 

We built Allmond out of our own frustration. Working with SaaS brands on AI visibility, we kept running into the same problem: no easy way to show clients where they actually stood. Which prompts surfaced their content, which didn’t, and where the real gaps were.

So we built the tool we needed. Allmond is very easy to use, with a clean, no-fuss interface that shows you only what you need to act on. It tracks brand visibility across major LLMs, covers 67+ countries, and generates shareable reports in seconds. 

There are no limits on prompts, projects, or clients. That keeps it affordable and accessible for teams of any size, whether you’re a small SaaS just getting started or an established product keeping tabs on competitors in AI-powered search.

Where to Start With LLM Visibility in 2026

Every practitioner we spoke to for this article came back to the same three pillars: original content, third-party presence, and LLM tracking. The tactics vary by industry, and as Ugljesa Djuric put it, there are no universal rules. But these fundamentals hold across the board. Here’s how to put them into action.

1. Audit where you currently stand. Before doing anything else, run your core keywords as prompts across ChatGPT, Claude, Perplexity, and Gemini. Note which competitors appear, which sources get cited, and where your brand is missing. This gives you a baseline to work from and makes the gaps immediately obvious.

2. Build content that adds something new. Generic, AI-optimized content published at volume doesn’t work. What works is content built on real experience, first-hand observations, and specific examples that don’t already exist online. Refresh existing posts with practitioner-level insight before creating new ones. Before writing, run your target keywords through ChatGPT and AI Overviews and mirror the exact phrasing they use. AI systems cite the page that already sounds like their answer.

3. Prioritize BOFU content formats. Listicles, comparison articles, and alternatives pages are the formats AI engines cite most. They’re also what high-intent buyers read right before making a purchase decision. If you don’t have them, start there. And mind the placements: competitor listicles tend to last months in AI citations, while affiliate sites and guest posts often disappear within two weeks. For digital PR, prioritize publications that AI crawlers can actually access.

4. Get listed on review platforms. Our research found that 100% of the tools cited by ChatGPT for alternatives queries had reviews on Capterra, and 99% had reviews on G2. Being listed is the minimum requirement for AI inclusion. If you haven’t claimed and optimized your profiles, do it now.

Beyond the major platforms, independent review sites are increasingly cited as sources in AI-driven discovery. CheckMySaaS is one worth knowing: you can submit your tool for independent researchers to review based on real usage, covering genuine pros, cons, and day-to-day experience. That kind of unbiased coverage carries weight with AI systems.

5. Get featured in third-party listicles. Outreach to high-ranking listicles in your category is one of the highest-ROI activities to win LLM visibility, even if it’s competitive and sometimes expensive. Focus on getting featured on competitor sites and established players in your niche first, as those placements tend to last longer and carry more weight. Remember that source coverage matters more than any single platform.

To find the right opportunities and manage the process, ListicleManager helps you discover relevant listicles in your category, identify which ones are worth targeting, and run the outreach.

That way, your product gets in front of buyers who are already looking for a solution like yours, including those arriving via zero-click searches who never visit a traditional results page.

6. Be active where your buyers talk. Reddit still influences AI answers, particularly for tools with consistent, genuine community presence. If relevant subreddits exist for your category, participate authentically. Buried, link-free mentions don’t carry weight, but visible, active participation does.

7. Add expert quotes and original data to your content. Research from Princeton University and IIT Delhi found that adding statistics, citations, and expert quotes can boost AI visibility by up to 40%. Every original data point and named expert you include is an additional signal for AI systems to work with.

8. Implement structured data. Schema markup helps AI systems understand and confirm what your content is about, but only when the off-site credibility is already there. As Jared Carrizales put it, off-site factors are the trigger, and the website is the confirmation. That said, keep expectations realistic: research shows that schema markup’s impact is largely limited to the Google ecosystem and has less influence on broader LLM visibility.

9. Don’t abandon SEO strategy. Google rankings and AI citations overlap more than most people expect. A strong SEO foundation, topical authority, quality backlinks, and well-structured pages remain the most reliable path to AI visibility. Use an 80/20 approach: solid SEO fundamentals first, with answer engine optimization layered on top.

10. Measure LLM visibility and adjust. Use an AI tracking tool to monitor brand visibility across AI models, track which prompts surface your content, and identify where competitors are showing up instead of you. Platforms like Peec AI, Profound, Otterly, and Allmond help with this—find the one that fits your team’s size and workflow.

If you’d rather have experts handle this, Quoleady works with SaaS brands to build content, secure placements, and systematically improve LLM visibility. Everything covered in this article is what we do every day. Schedule a call and let’s talk.

LLM Visibility FAQs

How do I get my SaaS brand cited in AI-generated answers?

Focus on three things: publish original, experience-based content in formats AI search engines favor (listicles, comparisons, alternatives pages); build third-party presence through review platforms, listicle features, digital PR, and community mentions; and earn quality backlinks and brand mentions on trusted sites. The more places that reference your brand in the right context, the more likely AI systems are to cite you.

Do strong Google rankings still influence AI citations in 2026?

Yes, significantly. Research shows a strong overlap between pages that rank on Google’s first page and pages cited by AI tools. That said, informational queries tend to show less overlap. ChatGPT in particular cites content outside the top 10 more often than Google’s AI Overviews do. A strong SEO foundation remains the most reliable path to AI visibility, but it’s not the only one.

How do I track whether my brand is appearing in AI answers?

You need an LLM monitoring tool. These tools run prompts across major AI platforms and show you where your brand appears in AI-driven search, where competitors are cited instead, and which topics you’re missing entirely. Tools like Allmond make this straightforward: you can track visibility across ChatGPT, Gemini, Claude and Perplexity, spot gaps, and generate shareable reports without needing a dedicated analyst.

The post LLM Visibility in 2026: 10+ GEO Experts Share What’s Working appeared first on Quoleady.

A SaaS content marketing strategy is the system that decides what you create, who it’s for, where it’s published, and how it connects to revenue. Without that system, you’re producing content in the same way a restaurant might cook without a menu, which is technically possible, but commercially unsustainable.

This guide is built on eight years of working exclusively with B2B SaaS companies on content, SEO, and now GEO. These are actual decisions we’ve made, mistakes we’ve watched clients repeat, and approaches we’ve seen convert readers into pipeline.

The ultimate guide to create SaaS content that converts

To build a SaaS content strategy that adapts to AI search and GEO shifts while delivering real results, you need a solid framework. These steps take you from keyword research to performance measurement, making sure every content asset has a clear purpose.

1. Start at the bottom of the funnel 

The most common pattern with SaaS founders is when they hire a writer or agency and start publishing broad, educational blog posts like “What is customer success?” or “The importance of onboarding”. 

A few years ago, this could drive traffic. But now, these queries are answered by Google AI Overviews. With LLM-based search, users get instant answers without visiting any website. That’s why well-written top-of-funnel content struggles to generate meaningful traffic, let alone pipeline.

Ryan Law, Director of Content Marketing at Ahrefs, put it clearly on his LinkedIn post: “In the next 10 years, the value of educational blog content as a marketing strategy will go to zero. Almost all informational queries will be resolved by LLMs.” 

His argument is that generic how-to content is being commoditised by AI. So the content that survives is the content that includes your product’s specific context, real workflows, and actual outcomes that LLMs can’t replicate from training data.

Another issue is that the readers at TOFU stage aren’t looking to purchase anything. They’re curious. They’ll read, nod, and leave. The people who are actually ready to buy your product are searching for completely different things, and most SaaS companies aren’t creating that content.

If you want content to drive revenue in 2026, you need to start where intent already exists.

Bottom-of-funnel (BoFu) content targets people who already understand their problem and are actively evaluating solutions. These are the queries that still lead to clicks, get cited by AI systems, and convert.

More importantly, this type of content has become critical for GEO (Generative Engine Optimization). AI platforms don’t recommend brands based on generic definitions, they surface companies in the context of comparisons, alternatives, use cases, and buying decisions. If you’re not creating BoFu content, you’re effectively invisible in AI discovery. 

The formats that do this well include:

• “[Competitor] alternative” pages to capture people who’ve already tried the market leader and are looking for something different
• “Best [category] software” posts that targets buyers who are mid-evaluation and want a shortlist
• Use case pages like “How [industry] teams use [your product]” to capture buyers with a very specific context
• Comparison posts like  “[Your product] vs [Competitor]” is your chance to frame the conversation before a review site does it for you
• Pricing-adjacent content for buyers asking about costs that are close to a decision; if you don’t have content for these searches, someone else owns that conversation

BoFu content gives both search engines and LLMs the structured, high-intent context they need to recommend your product.

We ran exactly this playbook for FullSession, a heatmap and session recording tool. Instead of starting with broad UX content, we led with comparison and use-case articles targeting buyers who were already evaluating tools. As a result, we received 500 leads from 16 articles in four months. This also helped them increase their domain rating from zero to 48.

However, this doesn’t mean you should never write top-of-funnel content. But you should start building content that converts, so you have evidence that the channel works before you invest in content with a 12-month payoff horizon.

2. Build a keyword map that mirrors how your buyers actually search

Not all keywords are equal, and the volume printed in your SEO tool is often the least useful number on the screen. A keyword with 10 monthly searches from someone typing “Salesforce alternative for 50-person SaaS” is worth more to you than a keyword with 20,000 searches from someone doing general research.

A practical framework for mapping your SaaS keyword universe across three tiers:

Tier 1: Problem-aware searches
These are top-of-funnel queries where buyers know something is wrong but haven’t defined the solution yet.
Examples:
“Why is SaaS churn so high”
“How to reduce CAC for SaaS”
“Customer retention strategies SaaS”

These are worth targeting later, once you’ve covered higher-intent queries.

Tier 2: Category (solution-aware) searches
The buyer knows what type of tool they need but hasn’t chosen a product yet.
Examples:

“Best customer success software”
“Onboarding automation tools”
“User onboarding software”

This is where buyers enter the market and evaluate options. These queries usually have the highest volume and should drive most of your content investment over time.

Tier 3: Vendor-level (comparison) searches
“[Competitor] alternatives”
“[Your product] vs [competitor]”
“[Competitor A] vs [Competitor B]”
“[Your product] pricing”
“[Your product] reviews”

These are high-intent queries from buyers comparing specific tools or considering a switch. If you don’t create this content, review platforms will take those positions.

A lot of SaaS companies start with competitor-driven queries like “[competitor] alternatives” to capture early demand. These are faster to rank and don’t depend on existing brand awareness.

But long-term growth comes from category-level queries, that’s where buyers enter the market and where most of your content investment should go.

Once your brand is part of that consideration set, Tier 3 content becomes critical to convert demand.

An example of comparison article on our client’s website

When doing keyword research, use Ahrefs or Semrush to run a content gap analysis against your two or three closest competitors. Look at what high-intent keywords they rank for that you don’t – especially solution-aware and comparison queries. That gap shows you exactly where the untapped opportunities are.

Content gap on Ahrefs

I always say that search intent matters more than search volume. Before you go after a keyword, ask yourself what the buyer is actually trying to do. If they’re just learning, it’s Tier 1. If they’re evaluating tools or comparing options, it’s Tier 2 or 3 — and that’s where content is more likely to drive pipeline.

You might be interested in: SEO vs GEO: Why Your Content Might Be Invisible in AI Search (And How to Fix It)

3. Write product-led content without making it overly promotional

Product-led content is one of those terms that gets misunderstood as a format when it’s actually a philosophy.

The idea is very simple. All you have to do is write an article that teaches the reader something genuinely useful. Your product appears as the natural tool for solving the problem being discussed. It is not a subject of the post or a sales pitch at the end. The reader arrives at “I should try this” through their own reasoning, not because you’ve asked them to.

Here are three examples to understand it better:

1. Allmond’s “AI visibility for startups” explains how founders can get discovered in AI search, with their product positioned as part of the solution.
2. Expandi’s “How to improve your LinkedIn profile” walks you through actionable tips while showing where automation fits. 
3. Fuelfinance’s “How to forecast a balance sheet” teaches a complex financial process, with their tool supporting execution.

In each case, the article stands on its own. The product is mentioned, but it’s not the entire point of the blog.

Product-led content works at every stage of the funnel:

1. At the awareness stage: a post on “how to track customer health scores without a dedicated CS team” that naturally shows how your tool fits into that workflow
2. At the consideration stage: a comparison article where your product genuinely wins on specific criteria, with real evidence (screenshots, case study quotes, specific numbers)
3. At the decision stage: an ROI calculator, an implementation guide, a “what the first 30 days looks like” walkthrough

The tactical version: for every article you plan, ask “where does our product naturally fit in this workflow?” If the answer is “it doesn’t,” you’re probably writing content for the wrong keyword.

4. Plan content distribution strategically

SaaS marketers have always used multiple channels, but SEO has historically been the most cost-efficient and scalable one. That’s still true. What’s changed is how content gets discovered and distributed beyond traditional search, which now requires a more deliberate, multi-channel approach.

A. Organic search (still your foundation)

A well-targeted article that ranks in the top three positions for a buying-intent keyword can generate qualified traffic for years. Nothing else has that payoff curve. But it’s not passive. Competitive keywords require ongoing investment like link building, content updates, and continuous optimization to maintain and improve rankings. But – and this is the important part – organic search is no longer just about Google. More on that in the next section.

B. LinkedIn and founder distribution

Rand Fishkin from SparkToro is very active on LinkedIn and shares his opinion.

For B2B SaaS, a single LinkedIn post from your CEO or a subject matter expert that links to a well-targeted article can outperform your entire newsletter. It can be an honest take on the industry or a simple product walkthrough. Your founder already has a network of the people you are trying to reach.

If they do not, it is not a blocker. Their profile can still grow into a strong channel over time by consistently sharing insights, engaging, and building a point of view. In parallel, you can activate other voices inside the company such as sales, product, and marketing to expand your reach.

Companies that treat LinkedIn as a distribution channel have a clear advantage.

C. Forums and communities

A lot of B2B buying decisions start with someone asking “What tool does your team use for X?” in a private community like Reddit or online forums. Your content needs to be the thing someone shares in response to that question. You can’t control this directly, but you can influence it by creating genuinely useful resources like templates, calculators, benchmarks, that people save and share in those contexts.

D. Email newsletter

Owned audience is the only distribution channel that can’t be taken from you by an algorithm update. Even a small, well-segmented list of 500 qualified subscribers beats 50,000 organic visitors who forget you exist. If you’re not building this in parallel with your SEO content, you’re leaving your most engaged readers with no path back to you.

E. Guest content and third-party placement

Quoleady’s client, Expandio’s article published on Forbes

Getting your content published in industry publications your buyers already read serves two purposes: direct referral traffic, and the authority signal that search engines and AI platforms use to evaluate credibility. This is where Quoleady’s Forbes and Entrepreneur placements deliver compounding value. These are not just the link, but the entity association that signals expertise.

5. Create content for AI search (GEO)

Recently, Ahrefs did a case study of 3000 sites to understand the size of AI traffic. They found out that 63% of websites now report traffic originating from AI-based search engines. 98% of AI traffic is sent by three chatbots (ChatGPT, Perplexity, and Gemini) with ChatGPT being the biggest referrer. In another research done by CapGemini in 2025, they found out that 58% of consumers have replaced traditional search engines with Gen AI tools for product/service recommendations, up significantly from 25% in 2023.

For B2B SaaS specifically, this matters because your buyers, who are technical, research-driven, time-poor, are precisely the users who adopted AI search first.

That’s why Generative Engine Optimization (GEO) should be a part of your SEO strategy. It is the practice of writing and structuring content so that AI platforms, like ChatGPT, Perplexity, Google AI Overviews, Gemini, can cite your content in their answers. Traditional SEO optimises for Google’s ranking algorithm. GEO optimises for whether an LLM has the right raw material to recommend your brand when someone asks about products like yours.

We’ve been running our own research to understand how this works. In our 10,000 LLM citations study for SaaS, we dug into where AI platforms pull their data from for SaaS high-intent prompts.

In a separate LLMO research about G2 and Capterra influence, we analysed hundreds of SaaS tools and dozens of high-intent “alternatives” prompts across ChatGPT and other LLMs. We found that 100% of the tools mentioned in ChatGPT answers had reviews on Capterra, and 99% had reviews on G2.

Having a Wikipedia page also correlated with higher placement, so tools with a Wikipedia presence averaged a rank of 5.07 versus 6.91 for those without one. And in our Reddit influence research, we found that Reddit ranks in Google’s top five for 76% of high-intent SaaS searches.

This makes it an indirect but measurable factor in LLM visibility. Perplexity showed the strongest influence from Reddit’s content of any model we tested.

Your on-site content, your presence on review platforms, your mentions in community discussions  all of it feeds into whether LLMs surface your brand when a buyer asks “what’s the best tool for X?”

Here’s a checklist you can apply to every article:

A. Answer-first structure

Put the direct answer in the first one or two sentences of every section. LLMs extract the clearest, most direct statement of a fact. If your answer is buried in paragraph four after three sentences of context-setting, the model may pull a competitor’s cleaner version instead. This is exactly what we covered in our guide on AI-first indexing. You should structure your pages so that both humans and AI tools can extract what they need quickly, without wading through filler.

B. Concrete, citable facts

Statistics, named examples, specific numbers, real outcomes. Strong E-E-A-T signals (Experience, Expertise, Authoritativeness, Trustworthiness) still remain critical for GEO because AI ranking algorithms favour authoritative voices when assembling answers. A post that says “How Quoleady helped Fuelfinance get 3x more MQLs with quality SaaS content marketing” is far more citable than “How content marketing drives significant organic growth.”

C. Clear entity signals

Be explicit about who you are, what you do, and what problem you solve. LLMs build knowledge graphs, so consistent positioning across the internet matters.

Vague positioning like “a content solution for growth teams” makes it harder for a model to know when to recommend you.

For example, “Quoleady is a B2B SaaS SEO and LLM visibility agency that helps software companies get discovered in Google and AI tools through quality content and digital PR” is clear and easy to extract.

D. FAQ sections at the end of key articles

Structured question-and-answer blocks are directly consumed by AI answer engines. If you’re not adding these schema and structures data for LLM visibility to your most important pages, you’re leaving one of the most controllable GEO levers unused. Five to seven well-phrased questions that your buyers actually ask will improve AI visibility faster than most technical changes. 

E. Author credentials and transparent citations

A named author, a clear bio, sources, and original data all help build credibility for both Google and AI tools. If your content is anonymous and has no data or sourcing, it’s hard for these platforms to trust it. Expert quotes alone can increase LLM visibility by 30–40%, especially when they come from credible, relevant sources.

Additionally, you can also perform a self-test. Open ChatGPT or Perplexity and type your primary buying-intent keyword, something like “best [your category] software for [your ICP].” Does your product appear? You can also use Allmond to track how often you’re mentioned across these prompts at scale. If a competitor with weaker SEO is being cited and you’re not, the gap is almost always one of the five factors above.

GEO doesn’t replace SEO. The best current approach combines both. That’s why you should create content that ranks well on Google and is structured so that AI can extract, cite, and recommend it. They’re not competing disciplines. But SEO builds the foundation of authority that GEO requires.

6. Create an SOP (content brief) doc

Every agency or in-house team will tell you they create content briefs. Few of them will show you one (we will!).

A brief sits between “we should write about this keyword” and “here’s the draft.” It’s where strategy turns into something a writer can actually work with.

When the brief is weak, the content ends up generic no matter how good the writer is. They don’t know what the article is supposed to do, what questions it needs to answer, or how the product should show up.

A good brief includes:

1. The target keyword and a clear statement of search intent. What is the target audience trying to do?
2. The ICP for this specific article and where they are in their buying journey
3. The three to five questions this article absolutely must answer before the reader leaves
4. Competing articles to beat, with notes on what they get wrong or leave out
5. Where and how the product should appear naturally, specifically, with an example
6. Internal links to include and the CTA the article should drive toward
7. Word count range and any supporting data or case studies to reference

If you’re evaluating a content agency, ask to see a sample brief before you ask to see a portfolio. A good portfolio tells you a writer can write. A good brief tells you the team knows how to think about content strategically. The brief is where the commercial intent lives.

At Quoleady, every piece of content goes through brief approval with the client before writing begins. This step alone prevents the most common failure mode in agency relationships: the client hates the direction after 2,000 words have already been written, because no one aligned on it first.

Check out our content brief from one of our clients below:

7. Track the metrics that actually matter

The metrics that matter for B2B SaaS content fall into three buckets:

A. Organic signups and demo requests from content

This is when a reader becomes a lead. Track signups, demo requests, and other conversion events, and tie them back to organic traffic.

Most companies already have this data, but it’s not connected to content. Once you link conversions to specific articles, it becomes clear what’s actually driving the pipeline.

B. Ranking speed

How quickly do new articles start ranking in the top 10?

If content reaches meaningful positions within 60 to 90 days, you’re on the right track. If nothing moves, it usually points to a mismatch in intent, weak authority, or technical issues.

Client’s results after one month of work together (new AI design product, started from scratch)

C. Pipeline influence

Which deals included content somewhere in the journey?

Look beyond last-click attribution. Check whether buyers interacted with your content before converting. This is what shows whether content is actually helping close deals, not just generating traffic.

A note on timelines, because this is where a lot of founder expectations get set wrong. Organic content compounds.

• Months one to three are foundation-laying – content gets indexed, early rankings start forming, you’re building the architecture. 
• Months six to nine are when results become visible – meaningful traffic, first clear lead attributions. 
• Months twelve and beyond are when content becomes a growth engine – compounding rankings, a library of converting articles, organic signups that don’t require continued ad spend.

What this looks like in practice: Quoleady example

When ResponseScribe came to us, they had a brand new domain, zero organic traffic, and a very specific ICP of small business owners who needed a call answering service but didn’t want to hire a full-time receptionist.

We started with high-intent content aimed at buyers in the evaluation stage, rather than prioritizing awareness content. We built out a content architecture around comparison keywords, “best [category]” roundups where ResponseScribe could legitimately be included, and use-case content targeting the specific industries they served.

We also built every article to be GEO-ready from the start with answer-first headers, explicit entity descriptions, concrete numbers from the product, and structured FAQ blocks at the end of each page. As a result, they went from 0 to 4,620 clicks per month in organic search within six months on a brand new domain.

The content strategy is a set of decisions made before a single article is written. Which keywords, in which order, targeting which stage of the buyer’s journey, structured in which way, distributed through which channels. The writing executes the strategy. The strategy determines whether the writing ever connects to revenue.

Read the full case study about how ResponseScribe went from 0 to 4.62k clicks in 6 months (with a new domain).

A brief note on content operations

One thing separates SaaS companies with good content from those with blogs full of articles that nobody links to or reads is a strategic production system.

This doesn’t have to be complicated. At minimum you need: a keyword-prioritised content calendar for the next 90 days, a brief process that specifies intent and structure before writing begins, an editor who understands both the product and the audience, and a monthly check on which articles are ranking and converting.

If you publish content without a system and pick topics on the fly, you’ll likely say in six months, “content doesn’t work for us.”

Content works. But it’s almost always the process and the strategy around it.

Conclusion

A SaaS content marketing strategy that generates pipeline comes down to a sequence of decisions. Start with buying-intent keywords at the bottom of the funnel. Build topical authority through a structured keyword map. Write articles where your product is the natural solution to a real problem. Distribute through channels your buyers actually use, including AI search. Structure every piece so it’s extractable by LLMs and measure the conversions.

If you want a second set of eyes on your current content setup and want to understand what’s working, what’s wasting your budget, and what you should do first, book a call with Quoleady. We’ll give you a clear picture of where you stand and what a realistic content strategy looks like for your stage and ICP.

Frequently asked questions

How long does SaaS content marketing take to show results?

Realistically, you’ll see early ranking signals within 60–90 days of publishing well-optimized content. Meaningful traffic and lead attribution typically appear at the 6–9 month mark. Compounding results, where content becomes a primary growth channel, happen at 12+ months with consistent publishing.

Should a SaaS company hire in-house or work with a content agency?

It depends on stage and speed. In-house gives you product depth and response time; an agency gives you a system that’s been proven across multiple SaaS clients and doesn’t require you to build the process from scratch. For most companies at the 50–200 employee stage, a specialist SaaS content agency is faster and more cost-effective than hiring and training a team, especially in the first 12 months.

What’s the difference between SaaS content marketing and general content marketing? 

The main differences are the sales cycle length, the multi-stakeholder buying process, and the need for product-led content. B2B SaaS buyers do more research, involve more people in the decision, and need content that maps to each stage of that journey – from problem awareness to vendor comparison. Generic content marketing frameworks don’t account for the evaluation complexity of a SaaS purchase.

How many articles per month does a SaaS company need to publish?

Quality and intent matter more than volume. Four well-structured, buying-intent articles per month will outperform sixteen generic posts. The right number depends on your domain authority, your target keyword difficulty, and your production capacity.

What types of content convert best for B2B SaaS?

Bottom-of-funnel content consistently converts at the highest rate: competitor alternative pages, “best [category] software” roundups, use-case pages, and product comparison articles. These formats target buyers who are actively evaluating tools, which is why their conversion rates are measurably higher than awareness-stage content.

The post SaaS Content Marketing Strategy: How We Approach It in 2026 appeared first on Quoleady.

According to a 2026 GEO analysis by Enrich Labs, B2B SaaS buyers now regularly ask AI systems detailed evaluation questions like “what’s the best project management tool for a 30-person engineering team?”, before they ever visit a vendor’s website. The agency you hire needs to produce content that shows up in both places.

This list covers 15 agencies that understand that reality. For each one, you’ll find what they do well, how they help you get cited by AI tools, real results, and pricing where it’s available.

The best SaaS content marketing agencies to hire in 2026

1. Quoleady

Quoleady is a B2B SaaS SEO and AI visibility agency that helps software companies grow through organic search, AI search, content marketing, and digital PR.

Their team analyzes search demand, buyer journeys, AI search trends, competitors, and market positioning to identify growth opportunities that drive qualified pipeline and revenue.

Quoleady creates expert-driven, research-backed content designed to rank in traditional search engines while also improving visibility across AI-driven discovery platforms such as ChatGPT, Perplexity, Gemini, and Google AI Overviews. As part of its GEO (Generative Engine Optimization) approach, the agency helps clients structure content and authority signals in ways that increase the likelihood of being surfaced, cited, and recommended by AI systems.

Beyond content creation, the agency helps SaaS brands build authority through digital PR, listicle placements, strategic partnerships, and media mentions on publications such as Forbes, Entrepreneur, and Yahoo.

Their manual outreach and authority-building programs help clients earn high-quality backlinks, strengthen category authority, and improve visibility across both search engines and AI ecosystems.

Quoleady works closely with each client to understand their market, product, positioning, and revenue goals, ensuring that content marketing, SEO, and GEO initiatives support sustainable long-term growth.

How do they help your business for GEO?

Getting featured by LLM tools like ChatGPT or Perplexity requires your content to be authoritative, and your off-site mentions should be from trusted sources. Quoleady’s SaaS LLM  Optimization service is built for that. 

Quoleady works across your entire website. They improve technical setup, refine site architecture, and optimize landing pages so your content is easier for AI to understand and surface. They also identify what’s missing – pages to create, sections to add, and gaps to fix.

Beyond your website, they build your presence through third-party mentions and links, expert quotes in content, placements in top-ranking listicles, and media coverage. All of this helps AI connect your brand with your category and show it in answers.

Key services

• SaaS content audit
• SaaS content strategy
• SaaS SEO audit
• SaaS content writing
• SaaS content guidance
• SaaS link building
• SaaS analytics

Who is it for?

From growth stage B2B SaaS companies to Series B+ enterprises that need a focused content program that drives sign-ups and want to appear in LLM answers, with a focused GEO strategy.

Notable results

Image source: Founders’ Hustle

1. Expandi: 0 to $7M ARR in under two years, driven by content
2. RingBlaze: 50,000 visits and 650 leads from 20 articles
3. FullSession: 500 leads from 16 articles in 4 months
4. ResponseScribe: 0 to 4,620 clicks in 6 months on a new domain

Pricing

Multiple packages available. Performance-based pricing for link building (you pay when links go live). See the Quoleady pricing page or book a free strategy call.

Want to hear what it is like working with us?

Cobi Emery, from ResponseScribe shared his experience with Quoleady here:

2. Grow and Convert

Grow and Convert is a content marketing agency that helps brands acquire leads and customers through both traditional SEO and AI search (GEO).

Their focus is on producing content that drives qualified leads, not just traffic and impressions. By targeting bottom-of-funnel SEO keywords and GEO topics that signal buying intent, Grow and Convert helps SaaS and service-based companies attract and convert ready-to-buy prospects.

How do they help your business for GEO?

They’ve created a structured framework for AI search optimization called Prioritized GEO, built on insights from dozens of clients and proven across thousands of prompts. Their approach helps brands gain visibility on AI search platforms like ChatGPT, Perplexity, and Google AI Overviews through high-quality, human-written content. They deliver a fully integrated, GEO-led content strategy centered on topics that attract real customers, rather than relying on scattered or ineffective tactics.

Key Services

• Content strategy (SEO + GEO)
• Long-form content creation and optimization
• Content-driven lead generation
• Content promotion (SEO link building and GEO citation outreach)
• Analytics, conversion tracking, and testing

Who is it for?

SaaS companies that have tried content marketing before and got traffic but no demos. Now, they want a strategy built around buying intent from day one.

Notable Results

1. 1,745 trial signups and 232,000 organic sessions for a self-serve B2B SaaS company
2. 600+ qualified conversions in 16 months for a SaaS client
3. 50%+ of total lead volume from SEO content for a healthcare services business

Pricing

Grow and Convert typically works on a monthly retainer basis. Packages scale by article volume and promotion support. Public pricing: approximately $10,000–$25,000/month.

Read also: How to get your SaaS brand quoted by ChatGPT (and other AI Tools)

3. Animalz

Animalz works with B2B SaaS, enterprise software, and VC firms, producing content rooted in real domain expertise instead of generic, research-assembled blog posts.

Their process begins with a deep dive into your product, industry, and go-to-market strategy, followed by direct SME interviews. This results in content that’s difficult to replicate and more resilient against AI-generated competition.

They’ve partnered with growth-stage SaaS and enterprise tech companies, with a strong focus on editorial, thought leadership content that shapes buyer perspectives. Their content does not rely on just keyword research or rankings.

How do they help your business for GEO?

Animalz offers Answer Engine Optimization as a dedicated service, including visibility audits across Google AI Overviews, ChatGPT, Perplexity, and Gemini. These audits reveal where your brand is cited, where competitors are winning, and what content changes can shift that. This helps you show up in AI answers instead of being replaced by competitors.

Key services

• Thought leadership content
• Long-form SaaS writing
• Strategic content planning
• AEO/GEO audits and optimization

Who is it for?

Mid-market and enterprise SaaS companies that need content to build category authority.

Notable results

1. Rilla: Doubled brand traffic with proprietary data and SEO
2. Preply: 25k new visitors every month
3. 360 Learning: Grew from 0 to 76K pageviews through SEO experimentation

Pricing

Retainers typically start around $10,000/month. Per-piece work $1,000–$3,000 depending on complexity.

4. Foundation Inc.

Foundation Inc. is a Canadian content marketing agency focused on two core strengths, original SaaS research and content distribution. Built on the belief that most SaaS content fails due to lack of reach and not quality, they prioritize getting content in front of the right audience.

Founded by Ross Simmonds, the agency follows the “Create Once, Distribute Forever” philosophy, which states invest in fewer, high-quality pieces and distribute them systematically to maximize long-term value. Their client programs reflect this deep, research-driven content paired with aggressive distribution.

“Distribution is just as important as creation. Most content dies in obscurity not because it’s bad, but because it was never seen.” — Ross Simmonds, Foundation Inc.

How do they help your business for GEO?

Foundation is well-suited for GEO-ready content production because their model already leans into the signals AI engines favor: original research with cited data, authoritative authorship, and wide distribution that creates the backlink and brand mention profile that LLMs use to assess credibility. This helps SaaS brands surface in AI-generated answers.

Key services

• Content marketing strategy
• Reddit marketing
• SEO and GEO
• Content creation and repurposing
• Link building
• Social media

Who is it for?

SaaS companies that have tried content marketing before and got traffic but not pipeline, and want a more strategic, distribution-focused approach.

Notable results

1. Helped an audience intelligence SaaS company reach 300%+ increase in social engagements within 3 months
2. Generated over 1,000,000 net-new impressions in search results in 12 Months for another SaaS company

Pricing

Not publicly listed. Custom based on scope.

5. Campfire Labs

Campfire Labs is a B2B SaaS content agency known for its strong editorial voice and narrative-driven approach. They primarily serve mid-market and enterprise SaaS companies ($10M–$300M+ ARR) with complex buying committees and long sales cycles.

Their process begins with in-depth onboarding, auditing brand messaging, competitive positioning, and content gaps before production. The result is content that sits at the intersection of SEO and thought leadership with high-ranking, yet credible and valuable enough for senior buyers to share.

How do they help your business for GEO?

Campfire Labs creates citation-worthy content grounded in real practitioner expertise and deep research. Their emphasis on editorial quality and topical authority aligns with GEO best practices like comprehensive topic coverage, clear authorship, and structured content that AI systems can easily extract and synthesize.

Key services

• Content strategy
• Social content
• SEO content
• Thought leadership
• Case studies
• Newsletter

Who is it for?

Growth-stage SaaS companies where brand authority and category positioning matter as much as organic traffic volume.

Notable results

Results are not publicly listed. 

Pricing

Not publicly listed. Custom engagements.

6. Draft.dev

Draft.dev is the go-to agency for reaching developers, engineers, and technical buyers with content that stands up to scrutiny. They focus exclusively on technical content like tutorials, API guides, developer tool comparisons, and product-led content for engineering-heavy SaaS. Their model pairs clients with writers who have real engineering experience, not generalists. The result is accurate, credible content written by people who’ve actually built software.

“Developers can tell immediately when content is written by someone who hasn’t used the tools. One credibility-breaking mistake and you’ve lost the reader.” — David Nunez, Draft.dev

How do they help your business for GEO?

Technical content has a structural advantage in GEO. AI systems heavily favor authoritative, specific, and accurate answers for detailed technical queries. Draft.dev’s technical depth means their content is the kind that AI tools cite as a reliable source, not skip over for something more substantive.

Key services

• Technical content
• Content strategy
• Content production
• Content distribution

Who is it for?

Developer tools, API companies, infrastructure SaaS, DevOps/DevSecOps products, any SaaS where the primary buyer is technical.

Notable results

1. Helped Sinch Mailgun achieve 20-25% CTR with developer-first content strategy
2. Scaled 4x growth in blog traffic with #1 ranking in search results within one year for Loft Labs
3. Increased monthly bog visitors by 346% for Earthly and ramped up their content production

Pricing

Project-based. Typical articles range from $500–$1,500+ depending on technical complexity.

7. Skale

Skale is a B2B SaaS SEO agency with a growing GEO focus. They’ve worked with companies like TravelPerk, HubSpot, Maze, Rezi, and Pitch. Their research, including analysis of six million LLM answer snapshots, offers clear insights into what drives visibility in AI-generated responses.

Their approach combines SEO with distribution. They create content that ranks on Google while building off-site signals (backlinks, brand mentions, third-party coverage) that AI systems use to judge authority.

How do they help your business for GEO?

Skale uses data-backed insights, like citation density and link breadth, to guide content strategy. Their research-driven approach helps clients show up more reliably in AI tools like ChatGPT and Perplexity, making their methodology more evidence-based than most.

Key services

• Generative Engine Optimization
• AI citation outreach
• SaaS SEO services
• Link building and outreach
• Content production
• Website migrations

Who is it for?

Growth-stage B2B SaaS companies in competitive categories where both Google and AI search matter.

Notable results

1. Helped a motion design SaaS increase AI brand coverage by 150% in four months
2. Scaled monthly organic signups for Maze by more than 283% in under 6 months
3. Doubled Slite’s product signups by 120% and their clicks by 190%, from non-branded organic search, in just 3 months

Pricing

Not publicly listed. Custom engagements.

Related: Top 7 AI Search Optimization Agencies for ChatGPT

8. Optimist

Optimist is a B2B SaaS-focused SEO and AEO (GEO) agency that helps companies turn content into measurable pipeline and revenue. They work primarily by combining SEO, AI visibility, and content marketing into a single, integrated growth strategy.

Their core differentiator is the CORE (Complete Organic Revenue Engine) framework, which aligns SEO and AI search (AEO/GEO) across the entire buyer journey to make sure that content performs both on Google and in AI platforms. They offer end-to-end support, from strategy and planning to content production, distribution, and optimization.

How do they help your business for GEO?

Optimist focuses on driving real business outcomes from AI visibility. Their approach connects AI search performance (mentions, citations, LLM traffic) directly to pipeline and revenue, with structured content and distribution designed for both search engines and AI systems. This makes them especially strong for companies that want GEO tied to measurable growth.

Key services

• Answer Engine Optimization (AEO)
• B2B SEO strategy and execution
• Pipeline-focused content

Who is it for?

Product-led SaaS companies at the growth stage that want content driving user sign-ups and activation, along with brand awareness.

Notable results

1. Helped a large B2B technology company achieve 49x growth in LLM referral revenue
2. 8x growth in conversions from LLM referral traffic for a Fintech company
3. Helped Kubera get 43x product sign ups in 15 Months with 3,000% increase in site-wide organic traffic

Pricing

Full-service engagements from $10,000/month.

9. Kalungi

Kalungi is a B2B SaaS marketing agency that acts as an outsourced, full-stack marketing team for software companies looking to build predictable pipeline and revenue. Instead of offering isolated services, they provide “GTM-as-a-service” that combines strategy, execution, and leadership under one system designed specifically for SaaS growth.

Their model centers on embedding a fractional (or “CMO-as-a-Service”) leader into the business, supported by a full execution team across content, SEO, paid media, RevOps, branding, and web.

How do they help your business for GEO?

Kalungi’s strength for GEO comes from its system-level approach. Rather than treating content in isolation, they build integrated programs where SEO, content, brand authority, and distribution all feed into a unified GTM strategy. Their focus on clear positioning, consistent messaging, and full-funnel content helps create the kind of structured, authoritative signals that AI systems rely on when generating and citing answers.

Key services

• CMO-as-a-Service
• CMO coaching
• Content and SEO
• ABM
• Paid media
• Web development

Who is it for?

Early-stage B2B SaaS founders who need a full outsourced marketing team with fractional CMO leadership, not just a content vendor.

Notable results

1. Increased organic sessions to 48% in six months for CPGvision with SEO approach
2. Drove $4.7M in pipeline for CPGvision with a complete B2B SaaS team
3. OneClick contractor saw a 164% increase in organic MQLs with their content plan

Pricing

Full-service partnership from $48,000/month. CMO coaching and fractional CMO pricing available on request.

10. NoGood

NoGood is a full-stack, AI-native growth marketing agency that partners with startups, scaleups, and Fortune 100 brands to drive measurable revenue. Their model is built around “growth squads” which means creating cross-functional teams of strategists, creatives, engineers, and data scientists who run high-velocity experiments across the entire funnel.

They position themselves as a hybrid between performance marketing and modern SEO/AEO (GEO), helping brands win visibility both where humans search (Google, social) and where AI systems generate answers (ChatGPT, Perplexity, AI Overviews)

How do they help your business for GEO?

They employ research-driven strategies to increase brand visibility in AI-generated answers. They test content formats, structures, and distribution quickly to adapt what’s working for AI visibility and what can be improved.

Key services

• AEO / GEO (AI Search Optimization)
• SEO and content marketing
• ​​Paid growth (search & social)
• Organic social & community
• Earned media & digital PR
• Analytics, CRO & growth engineering

Who is it for?

SaaS companies that want to move fast, run growth experiments across content and paid channels, and see results in weeks rather than quarters.

Notable results

1. Delivered 75%+ improvements in key growth KPIs for enterprise partners
2. Helped clients see measurable performance gains within ~90 days through rapid experimentation and optimization
3. Maintains an 84% client retention rate, indicating long-term, compounding results

Pricing

Not transparent. Requires consultation.

11. Evolv.

Evolv is a B2B-focused SEO and content-led growth agency that positions themselves as a “search-first digital consultancy”. They combine traditional SEO with generative search optimization (GEO) to help brands stay visible across both Google and AI platforms.

Their approach is lean, strategic, and outcome-driven. They focus on measurable growth rather than bloated deliverables. They tailor every engagement to the client’s business, blending technical SEO, search intent strategy, and AI visibility into a unified system designed to drive real results.

How do they help your business for GEO?

Their focus is on making content discoverable, structured, and trustworthy for platforms like ChatGPT, Gemini, and Perplexity. They do this through generative visibility audits (how brands show up in AI answers), semantic and structural optimization for AI readability, entity and source alignment to boost authority, and RAG and AI bot accessibility. They treat SEO and GEO as one system, so content performs across both Google and AI search.

Key services

• Generative Search Optimization (GEO / AEO)
• Technical SEO (site architecture, performance, structured data)
• SEO strategy, forecasting, and roadmapping
• Search intent and SERP analysis
• Content strategy and optimization
• Generative visibility audits (LLM performance tracking)
• Semantic optimization and entity alignment
• AI bot / RAG optimization

Who is it for?

SaaS and tech companies that want to stay visible in both traditional search and AI-generated answers, particularly if GEO is already a strategic priority.

Notable results

1. Up to 120x ROI from SEO programs
2. Around 40% increase in ARR for SaaS clients

Pricing

Not publicly listed. Custom programs.

12. Siege Media

Siege Media is a B2B-focused SEO and content marketing agency known for driving large-scale organic growth through high-quality, search-driven content. They work with mid-market and enterprise brands, combining SEO, content, and digital PR into a single system designed to generate traffic, links, and revenue.

Their approach is highly data-driven. They identify high-value search opportunities, then create content (design, writing, and interactive assets) built to outperform competitors and deliver clear ROI.

How do they help your business for GEO?

Siege Media blends SEO and GEO into one strategy by creating content that ranks on Google and gets picked up by AI systems. They focus on high-quality, authoritative assets that earn links, mentions, and citations, which are key signals for AI visibility. Their emphasis on depth, design, and distribution makes sure your content is both discoverable and reference-worthy for LLMs.

Key services

• SEO strategy and consulting
• Content marketing (strategy, writing, design, interactives)
• Digital PR and link building
• GEO / LLM optimization
• Content promotion and distribution

Who is it for?

SaaS companies that need to build domain authority and content volume at scale.

Notable results

1. Around $148M annual traffic value generated for clients
2. 350%+ increases in organic traffic (e.g. Instacart)
3. 850%+ growth and millions in traffic value for SaaS brands like Zapier

Pricing

Not publicly listed. Custom programs.

13. Refine Labs

Refine Labs is a B2B SaaS growth agency focused on demand generation over traditional lead generation. They work with mid-market and enterprise companies to build modern, buyer-centric marketing systems that prioritize pipeline, revenue, and efficiency.

Their approach is rooted in aligning marketing with how B2B buyers behave across social, communities, and dark social. Then, they use data-driven experimentation, paid media, and content to create and capture demand.

How do they help your business for GEO?

Refine Labs supports GEO indirectly through demand-led content and distribution. Instead of focusing purely on SEO, they build brand visibility across channels (paid, social, content), which increases brand mentions, authority, and recall, which are key signals for AI-generated answers. Their emphasis on buyer-centric messaging and high-impact content aligns well with how LLMs prioritize trusted, widely referenced sources.

Key services

• Demand generation strategy (brand, demand, expansion)
• Paid media (search, social, account-based campaigns)
• Content and creative production
• SEO and inbound marketing
• Sales and marketing alignment
• Analytics, attribution, and revenue measurement
• Website, CRM, and growth infrastructure

Who is it for?

Growth-stage B2B SaaS companies that have a content program running but aren’t seeing pipeline impact from it.

Notable results

1. Boosted win rates by 64% for Clari and cut acquisition costs by 67% with its GTM strategy
2. NFP ($2B+ revenue) built and launched a full-scale B2B inbound engine in just nine months
3. Loxo built a zero-to-one demand generation engine, driving a 45% increase in ARR

Pricing

Not publicly listed. Custom programs.

14. Deviate Labs

Deviate Labs is a B2B growth and content marketing agency that specializes in building full-funnel demand generation systems for startups and scale-ups. Their approach blends traditional performance marketing with experimental, “growth hacking” strategies to accelerate visibility, acquisition, and revenue.

Instead of using templated campaigns, they operate through a deep discovery-led process, analyzing product positioning, audience behavior, and untapped distribution channels. The team positions itself as a hybrid of strategists, analysts, and operators, focused on executing measurable growth rather than just producing content.

Their philosophy centers on “deviation from the norm” by applying cross-industry tactics, rapid experimentation, and data-driven iteration to unlock unconventional growth paths.

How do they help your business for GEO?

Their GEO approach focuses on structuring content so it can be easily interpreted by AI models. They optimize brand narratives for answer-engine visibility. They build authority signals through content, PR, and distributed assets. In short, they extend traditional SEO into AI-native discoverability, so that brands are surfaced in generative search environments, not just search engine results.

Key services

• Content marketing strategy & production
• SEO & answer-engine optimization (GEO)
• Paid media (Google, Meta, LinkedIn)
• Influencer & social media marketing
• B2B SaaS growth strategy & ABM
• Go-to-market (GTM) planning

Who is it for?

Startups that need creative, high-impact growth campaigns on a limited budget and want tactics borrowed from outside the SaaS playbook.

Notable results

1. Helped a B2B SaaS HR cloud company increase their monthly organic visitors from 5,100 to 83,300
2. Helped Caden, a privacy tech company, acquire 10,000 signups on a $350 budget

Pricing

Custom monthly retainers based on scope.

15. Omniscient Digital

Omniscient Digital is an organic growth agency for B2B SaaS. Their leadership team includes former operators from HubSpot, G2, and Workato, so their strategies come from real in-house experience. 

Their process is research-heavy upfront. Before any content is written, they map competitive gaps, keyword opportunities, and where organic growth is actually achievable for your specific domain and authority level. That front-loading tends to produce stronger ROI because the content that gets created is targeting real opportunities, not generic keywords.

How do they help your business for GEO?

Omniscient uses their proprietary OmniscientX research process to identify content opportunities that perform across both traditional search and AI platforms. For SaaS clients, they build content that answers the evaluation-stage questions AI tools pull from such as comparisons, use cases, and “best for” content. This helps position your brand in AI responses before a buyer reaches your website.

Key services

• Organic growth strategy
• Content marketing and production
• Content promotion
• Link building and digital PR
• Technical SEO
• Programmatic SEO optimization
• Content hub design and development
• Analytics
• Conversion rate optimization

Who is it for?

Mid-market B2B SaaS companies ready to invest seriously in a research-led organic growth strategy tied directly to pipeline.

Notable results

1. Jasper: 810% growth in organic sessions, 400x increase in product signups, $4M+ in blog-attributed ARR
2. Order.co: 2,117% growth in organic sessions, 39x increase in conversions
3. GatherContent: 867% growth in organic sessions, 62% increase in leads
4. Smartling: 56% organic traffic growth, 352 new page-1 rankings

Pricing

Omniscient’s pricing varies widely depending on the scale and scope of the project. Strategy engagements from $35,000. Content programs from $10,000/month. Full growth program management from $150,000/year.

How to choose the right agency for your stage

Before you shortlist three agencies and start scheduling calls, get clear on two things:

What do you need from the content? 

Traffic and brand awareness require a different strategy than demo requests and trial signups. Most agencies claim to do both. But you need to ask specific questions like show me a case study where blog content drove product signups. If they can’t produce one, they probably optimize for traffic.

What’s your growth stage?

Seed-stage companies with tight budgets need a different partner than Series B companies with a six-person marketing team. An agency like Kalungi is built for companies that want a full marketing function. Quoleady, Optimist, and Draft.dev are better fits for focused content programs without the overhead.

A quick framework for matching stage to agency:

• Pre-PMF or early stage ($0–$2M ARR): Optimist (as they are focused, results-oriented, and efficient)
• Growth stage ($2M–$20M ARR): Quoleady, Grow and Convert, Omniscient Digital, Skale, Campfire Labs (for deeper strategy and execution)
• Series B+ or enterprise ($20M+ ARR): Quoleady, Animalz, Foundation Inc., Kalungi (category authority, thought leadership, multi-channel)

You might be interested in: 6 Best AEO Agencies in 2026: Who’s Actually Optimizing for AI Answers

One thing that’s changed in 2026: you need GEO, not just SEO

Research published in early 2026 found that 26% of brands had zero mentions in AI Overviews in one industry snapshot. That means more than a quarter of companies investing in content are essentially invisible to buyers who start their research in ChatGPT or Perplexity.

The agencies on this list take GEO seriously. They build content that’s structured for AI retrieval, earning the third-party citations that AI systems use as trust signals, and tracking their clients’ “share of model” over time. They are the ones worth talking to in 2026.

The ones still pitching on traffic numbers and keyword rankings alone are operating on last year’s playbook.

Ready to talk?

If you’re evaluating content agencies and want to know whether Quoleady is the right fit for your SaaS, book a free 30-minute strategy call. We’ll look at your current content, your target keywords, and tell you honestly where we can help.

The post Top 15 SaaS Content Marketing Agencies in 2026 (With GEO Coverage) appeared first on Quoleady.

That still happens. But more and more often, the process starts somewhere else entirely.

A founder opens ChatGPT and types, “What’s the best tool for X?” A VP of Marketing asks Perplexity to compare two platforms before booking a demo. The AI gives them an answer. They start their evaluation from that response. If your product isn’t in that answer, you’ve already missed the shortlist.

This is why so many SaaS companies want Answer Engine Optimization for their B2B product. And if you’ve been trying to make sense of what AEO means and how it’s different from SEO, GEO, LLMO, and the rest of the acronyms floating around LinkedIn, you’re not alone. The terminology is all over the place right now. Every agency seems to have their own name for roughly the same idea, and the definitions shift depending on who you ask.

Know more about Top 9 Generative Engine Optimization (GEO) Agencies of 2026

How I selected these AI optimization agencies

Over the past few weeks, I spent time looking at agencies working in this space. The goal was to figure out who is doing meaningful work and who just updated their website copy to sound more “AI-focused.”

• SaaS experience: SaaS buying behavior is very different from ecommerce or local services. The agencies included here either focus heavily on B2B SaaS and technology or have enough experience in the space that their strategies clearly reflect how SaaS tools are researched and evaluated.
• Evidence of real AEO work: Not just in how they talk about AI visibility, but in the services they offer and the work they publish.
• Proof of results: Case studies, prompt tests, screenshots of enterprise brands appearing in AI answers. Concrete examples carry far more weight than claims.
• Authority building across the web: Agencies that actively pursue placements in listicles, comparison pages, review platforms, and respected publications tend to have a stronger foundation here.
• Thought leadership SEO: Teams that share original research, frameworks, and honest observations about how AI discovery is changing are usually genuinely close to the work.

Top 8 Best AEO Agencies for B2B SaaS

1. Quoleady

Overview

Quoleady is a B2B SaaS SEO and AI visibility agency helping software companies grow through organic search, digital PR, and expert-driven content marketing. With over six years of experience working exclusively with SaaS and technology brands, the team helps clients improve visibility in Google and AI search, build authority in their category, and drive qualified pipeline and revenue growth.

Why they’re relevant for AEO

Quoleady builds AEO into strategy from the start. Their work covers the full picture: content positioning, listicle placements, brand mentions in trusted publications, and technical implementation, all mapped to what actually influences AI recommendations in a given category. They monitor AI visibility for clients using dedicated tooling, so the work is measured against real AI appearances, not just keyword rankings.

What they do that affects AI answers

• Develop combined SEO + LLM content optimization strategy and positioning
• Create BOFU comparison, alternatives, and category-defining content (both blog articles and landing pages)
• Place notable client brands in relevant industry listicles via their Listicle Manager tool (the type of content answer engines pull from heavily)
• Produce deep research content that gets cited by LLMs
• Monitor AI visibility across ChatGPT, Perplexity, and Google AI Overviews
• Build high-quality links and secure brand mentions in publications AI systems reference

Strengths

• Deep, specialized B2B SaaS focus with 6+ years in the space
• Content, authority-building, and technical SEO treated as one strategy rather than separate services
• Actively monitors and tracks AI answer appearances for clients
• Proven case studies showing real AI visibility improvements

Limitations

• Boutique team with selective client capacity, so not a fit for every budget stage
• Focused on SEO and content strategy rather than full-funnel paid or performance marketing

Best for

B2B SaaS companies that want to grow both traditional organic traffic and visibility inside AI-generated answers at the same time.

Not ideal for

Companies looking for a full-service marketing agency covering paid media, branding, and outbound.

Key services

• AI & SaaS LLM search optimization
• SaaS SEO optimization (content + technical)
• Content creation strategy and production
• Digital PR and link building
• Listicle placements
• Content refresh and ongoing optimization

Notable client results

• Legal Nodes: 47.5% increase in booked meetings and top 5 AI answer placements within three months
• Oneflow: featured in AI Overviews for 7,000+ keywords
• Expandi: significant growth in organic clicks and conversions

2. Darkroom

Overview

Darkroom is a technology-driven growth agency focused on consumer brands across DTC, Amazon, Walmart, TikTok Shop, and other commerce channels. Unlike most agencies on this list that primarily focus on B2B SaaS, Darkroom specializes in helping consumer brands scale across paid media, marketplaces, retention, social commerce, creative, and AI-driven marketing.

The major differentiator is Shadow, Darkroom’s proprietary AI commerce layer that supports execution across media buying, creative workflows, marketplaces, and growth operations. The agency has managed more than $100M in ad spend and contributed to over $5B in attributable client revenue.

Why they’re relevant for AEO

Darkroom approaches AEO and GEO from a commerce and performance marketing perspective. Their work focuses on increasing brand visibility across AI-driven discovery environments while strengthening authority across marketplaces, retail media, social commerce, and search.

Their GEO offering combines AI visibility optimization with paid acquisition, content, retention, and marketplace strategies, making them especially relevant for brands that depend on multi-channel product discovery.

What they do that affects AI search answers

• Run GEO campaigns designed to improve visibility across AI-driven search and recommendation systems
• Strengthen brand authority signals through paid media, marketplaces, and social commerce
• Optimize product and brand presence across Amazon, Walmart, TikTok Shop, and retail platforms
• Combine performance creative, retention, and CRO with AI marketing strategies
• Use AI-assisted workflows through their Shadow platform to support execution and scaling

Strengths

• Strong expertise in consumer brands and multi-channel commerce
• Integrated growth model combining AI marketing, marketplaces, paid media, and retention
• Experience managing large-scale media budgets and enterprise growth campaigns
• Proprietary AI commerce infrastructure supporting execution workflows

Limitations

• Primarily focused on consumer brands rather than B2B SaaS
• Pricing and engagement structure may not suit smaller companies or startups
• Full-service growth approach may be broader than needed for brands seeking SEO-only support

Best for

Mid-market and enterprise consumer brands that want integrated growth across AI visibility, paid acquisition, marketplaces, and commerce channels.

Not ideal for

Early-stage startups or companies looking for lightweight SEO or standalone AEO consulting.

Key services

• Growth strategy
• Paid media and retail media
• TikTok Shop management
• Marketplace management
• AI marketing and GEO
• Performance creative and brand studio
• Retention marketing
• CRO and web support

Results

• J3x revenue growth for Olipop through a national media campaign across Connected TV, YouTube pre-roll, and paid social
• ~100% business growth in one quarter for Sculpd through Meta, Google, and TikTok acquisition campaigns
• 43% YoY Q4 revenue growth for Nécessaire during the iOS 14 attribution transition

3. Skale

Overview

Skale is a B2B SaaS SEO and AI search optimization agency focused on helping software companies grow pipeline and revenue through organic visibility. Unlike generalist agencies, Skale works exclusively with SaaS businesses, combining technical SEO, content strategy, authority building, and AI search optimization into a unified growth model.

As AI-powered search becomes a larger part of the B2B buying journey, Skale has expanded its approach beyond traditional rankings to help brands increase visibility across ChatGPT, Perplexity, Google AI Overviews, Claude, and other answer engines. The agency focuses on strengthening the signals AI systems rely on when selecting sources, recommendations, and citations.

Why they’re relevant for AEO

Skale approaches answer engine optimization through the lens of category authority. Rather than treating AI visibility as a separate channel, they focus on building the underlying factors that influence whether a company becomes a trusted source in both traditional search and AI-generated answers.

Their methodology combines technical SEO, strategic content creation, digital PR, and high-authority link acquisition to improve a brand’s presence across the web. This is especially important because answer engines frequently rely on trusted third-party mentions, comparison content, industry publications, and authoritative websites when generating recommendations.

What they do that affects AI search answers

• Build category authority through strategic content and topical coverage
• Create comparison, alternatives, and solution-focused content aligned with buyer intent
• Execute digital PR campaigns that generate mentions in authoritative industry publications
• Acquire high-quality backlinks and entity signals that strengthen brand credibility
• Improve technical SEO foundations that support AI crawler accessibility and content understanding
• Optimize content structures and information architecture for machine readability
• Monitor evolving AI search trends and adapt content strategies accordingly

Strengths

• Exclusive focus on B2B SaaS companies
• Strong emphasis on revenue generation rather than traffic alone
• Combines content, technical SEO, digital PR, and authority building under one strategy
• Deep experience operating in highly competitive SaaS categories
• Well-positioned to support both traditional SEO and emerging AI search visibility goals

Limitations

• Primarily focused on SaaS and technology companies rather than broader industries
• Best suited for companies investing in long-term organic growth rather than short-term demand generation

Best for

B2B SaaS companies that want to improve both organic search performance and visibility within AI-generated recommendations while maintaining a clear connection to pipeline and revenue growth.

Not ideal for

Consumer brands, ecommerce businesses, or organizations looking for a broad full-service marketing partner outside of organic growth.

Key services

• AI search optimization and GEO strategy
• SaaS SEO (technical and content)
• Digital PR and authority building
• Link building and entity development
• Content strategy and production
• Content refreshes and optimization
• Revenue-focused SEO consulting

Results

• Helped multiple SaaS brands achieve significant increases in organic traffic, demo requests, and pipeline growth through SEO-led acquisition strategies
• Generated placements and brand mentions across high-authority industry publications
• Improved visibility for competitive commercial-intent SaaS keywords through combined content and authority-building campaigns

4. Omniscient Digital

Overview

Omniscient Digital is an organic growth agency founded in 2019 and based in Austin, Texas, focused on B2B SaaS. Their leadership team comes from in-house roles at HubSpot, Shopify, and Workato. They operate as growth partners along with being content producers. They’ve worked with companies like Jasper, Loom, Hotjar, Asana, Adobe, and SAP, and are known for tying organic efforts directly to pipeline, qualified leads, and ARR.

Why they’re relevant for AEO

Omniscient has expanded beyond SEO into Generative Engine Optimization (GEO), aligning their approach with how AI systems evaluate and recommend brands. Their focus on authority, topical depth, and high-quality content is combined with their proprietary OmniscientX research framework. This helps position clients for visibility in both search engines and AI-generated answers.

What they do that affects AI search answers

• Build deep topic clusters and strong semantic coverage to reinforce category authority
• Create research-backed, high-authority content designed to lead a topic
• Offer GEO as a dedicated service
• Align content with comparison-driven queries commonly used in AI recommendations
• Use digital PR and link building to strengthen brand authority signals

Strengths

• Exceptional editorial quality with strong in-house standards
• Leadership team with real in-house SaaS experience at scale
• Clear reporting tied to pipeline and revenue, not just traffic

Limitations

• Full-service engagements start at $10,000/month, making them less accessible for early-stage startups
• Quality-first approach means slower content scaling

Best for

Growth-stage and enterprise B2B SaaS companies that want a long-term organic growth partner with depth in both SEO and generative search.

Not ideal for

Early-stage startups that need fast output or are working with tighter budgets.

Key services

• SEO strategy and GEO
• Content creation and optimization
• Technical SEO
• Link building and digital PR
• Analytics and attribution

Results

• Jasper: 810% growth in organic sessions and 400x increase in product signups
• Order.co: 2117% growth in blog organic sessions and 39x conversions
• Smartling: $3.7M in pipeline generated through organic search
• GatherContent: 867% growth in organic blog sessions and 62% increase in leads

5. Discovered Labs

Overview

Discovered Labs is a pure-play AEO and GEO agency built for B2B SaaS companies focused on visibility in AI-generated answers. It was co-founded by Liam Dunne (who scaled Instantly.ai to $20M ARR) and Ben Moore, an AI/ML engineer with experience at Stripe, Coinbase, and Brex. This blend of growth and technical expertise gives them a strong understanding of how LLMs retrieve and cite content in practice.

Why they’re relevant for AEO

Discovered Labs is purpose-built for AEO. Their proprietary CITABLE framework structures content for AI extraction, verification, and recommendation. They actively test content against AI systems to see what gets cited and run Reddit campaigns to influence category narratives on platforms LLMs rely on.

What they do that affects AI answers

• Apply the CITABLE framework (entity structure, intent, validation, answer grounding, RAG-friendly formatting, freshness, and entity relationships)
• Produce high-volume content (20–60+ articles per month with daily publishing)
• Run Reddit marketing to build citations and category authority
• Monitor AI visibility across ChatGPT, Claude, Perplexity, and Google AI Overviews
• Combine technical SEO with content to ensure AI crawlability
• Use digital PR and backlinks to strengthen third-party validation signals

Strengths

• Highly technical, AEO-specific methodology
• Strong AI/ML expertise at the founder level
• Scalable, AI-assisted content production
• Flexible month-to-month contracts

Limitations

• Heavy focus on content volume over editorial depth
• Newer agency with a shorter track record

Best for

B2B SaaS companies ($2M–$50M ARR) that want to quickly improve AI answer visibility with a technically focused approach.

Not ideal for

Enterprise companies needing complex governance, compliance, or a full-service marketing partner.

Key services

• Answer Engine Optimization (AEO)
• CITABLE framework content production
• Reddit marketing and narrative shaping
• Technical SEO
• AI visibility monitoring and reporting
• Digital PR and backlink building

Results

• One B2B SaaS client went from 550 AI-referred trials to 2,300+ in four weeks (4x growth), with 600% citation uplift across ChatGPT, Claude, and Perplexity
• 340% increase in AI citations within 90 days for a client using the CITABLE methodology
• 3x–4x better traditional SERP performance alongside AEO gains for the same client

Related: LLM Optimization vs SEO: What’s Changing in Search Discovery

6. NoGood

Overview

NoGood is a New York–based growth marketing agency with a strong AEO practice embedded in its full-service offering. They work across SaaS, fintech, healthcare, and consumer brands, including ByteDance, Intuit, Spring Health, and Inflection AI. A key differentiator is Goodie, their proprietary platform for tracking AI visibility across ChatGPT, Gemini, Claude, and Perplexity, which they use directly in client work.

Why they’re relevant for AEO

NoGood treats AEO as part of a broader growth system, not a standalone channel. Their approach combines schema, structured content, entity optimization, and prompt-gap audits to make content machine-readable and more likely to be surfaced by AI. With Goodie, they measure real AI visibility instead of relying on assumptions.

What they do that affects AI answers

• Run AEO audits and build strategies aligned with AI search behavior
• Implement schema and structured content for clear entity signals
• Optimize entities and conduct prompt-gap audits
• Track AI visibility in real time via Goodie
• Apply technical SEO to improve AI crawlability and citation
• Build links and brand authority to strengthen recommendation signals

Strengths

• Proprietary Goodie platform for real-time AEO tracking
• Strong full-funnel approach with AEO integrated into growth strategy
• High client retention (84%)
• Experience across multiple high-growth industries

Limitations

• Less SaaS-specific focus than niche agencies
• Full-service model may include unnecessary services if only SEO/AEO is needed

Best for

Growth-stage SaaS and B2B companies that want AEO integrated into a broader, data-driven growth program.

Not ideal for

Brands looking for a lean, SaaS-only agency focused purely on organic and AI search.

Key services

• Answer Engine Optimization (AEO)
• SEO and technical optimization
• Content marketing
• Paid media and growth campaigns
• AI visibility monitoring (Goodie)
• CRO and lifecycle marketing

Results

• Inflection AI: over 1 million daily active users within 3 months
• Spring Health: 113% increase in provider qualified leads
• SteelSeries: AI search scaled as a revenue channel through dedicated AEO work

7. MADX Digital

Overview

MADX Digital is a London-based SEO agency focused on B2B SaaS, working with funded startups and mid-market scale-ups. They prioritize revenue outcomes like demos, signups, and ARR over vanity traffic metrics. As AI search has evolved, they’ve expanded into Generative Engine Optimization (GEO) and were recognized in 2026 with a Global Recognition Award for innovation in AI-driven search.

Why they’re relevant for AEO

MADX has introduced GEO as a core service alongside SEO, content, and link building. They use proprietary tracking to monitor visibility across both traditional and AI search. They focus heavily on authority-building through PR, backlinks, and brand mentions, which directly influences AI recommendations.

What they do that affects AI answers

• Offer GEO as a dedicated service
• Build brand mentions and backlinks across authoritative sites and forums
• Create SaaS-focused content (including comparisons and alternatives) aligned with buyer intent
• Implement technical SEO and schema for better AI crawlability
• Track AI visibility across ChatGPT, Perplexity, and Google AI Overviews
• Run digital PR to secure presence in AI-referenced sources

Strengths

• Deep specialization in B2B SaaS growth
• Revenue-focused reporting tied to pipeline metrics
• Strong execution in link building and digital PR
• Clear processes and transparent project management

Limitations

• Smaller team may limit scalability
• GEO is newer, with less historical track record than their SEO work

Best for

Funded B2B SaaS startups and scale-ups looking to combine organic growth with AI visibility, backed by clear pipeline reporting.

Not ideal for

Enterprise companies needing large-scale content operations or deep paid media capabilities.

Key services

• SaaS SEO strategy
• Generative Engine Optimization (GEO)
• Content writing and strategy
• Digital PR
• Link building
• Technical SEO

Results

• Gleemo: 2,537.7% SEO growth and 140+ new rankings
• Thunes: #1 rankings for cross-border payments terms
• UPSTIX: 0 to 8,000 organic visitors in under six months
• Maekersuite: 10,000+ end users acquired through SEO
• Good Annotation: 365,000 page views and 5,000 email signups in the first twelve weeks

8. Team 4

Overview

Team 4 is a London-based B2B SaaS marketing agency focused on early- and growth-stage companies in niche tech markets. They operate as a small, senior-only team with no account managers, so strategy and execution stay with the same people. Founded by former in-house SaaS marketers, they prioritize pipeline impact over traffic and understand board-level reporting expectations.

Why they’re relevant for AEO

Team 4 has integrated LLM optimization into its core offering alongside SEO, with a structured, measurable approach. Their focus on building Webflow sites with AI-readable architecture from day one, combined with practical AEO content like FAQ optimization, positions clients well for AI visibility.

What they do that affects AI answers

• Develop LLM optimization strategies for B2B SaaS
• Build Webflow sites with schema, strong architecture, and AI-readable structure from the start
• Create buyer-intent content aligned with comparison-driven AI queries
• Structure content for how AI systems interpret and summarize categories
• Use AI-assisted workflows for scalable content production and optimization
• Run integrated SEO campaigns that include AI visibility (ChatGPT, Perplexity)

Strengths

• Senior-only team with direct founder involvement
• Strong understanding of early-stage SaaS constraints (budget, speed, pipeline)
• Technical SEO and content handled as one integrated discipline
• Proven results with SaaS clients like AirDNA

Limitations

• Limited capacity due to small team
• Less suited for enterprise-scale programs or complex governance needs

Best for

Early- and growth-stage B2B SaaS companies in niche markets looking for a hands-on, strategic partner focused on pipeline impact.

Not ideal for

Enterprise SaaS companies needing large-scale production or a full multi-channel agency.

Key services

• LLM optimization and AEO strategy
• SaaS SEO (integrated with web development)
• Webflow website design and build
• Content marketing and strategy
• PPC and paid media
• AI-powered inbound marketing workflows

Results

• Forecast AI: inbound engine website built using search data
• AirDNA: praised by client for being organized, strategic, and delivering tangible SEO results
• Multiple SaaS clients: improved keyword rankings, inbound lead generation, and organic traffic growth tied to pipeline metrics

Comparison table: AEO agencies at a glance

Read also: Does Reddit influence LLMs responses? (The 2026 Research)

Why SaaS companies specifically need AEO agencies

Right now, AI-referred traffic still makes up a tiny slice of overall website sessions, which is well under 1% in most datasets. Organic search still drives 30% or more of traffic for most companies, and around 95% of Americans still use search engines regularly. That number has barely moved even as AI tool usage has exploded.

If someone’s telling you to cut your SEO budget and go all-in on AI visibility, I’d push back on that hard.

At the same time, something interesting is happening underneath those numbers.

According to the Previsible State of AI Discovery Report, traffic from AI tools grew 527% year over year between January and May of 2025. The total volume is still small, but that growth rate is hard to ignore.

What makes this especially interesting for SaaS is the conversion data.

In that same report, LLM traffic converted at 6.69%, while organic search converted at 6.71%. In other words, visitors coming from AI tools converted almost exactly the same as visitors coming from Google.

No other industry category came close to that parity.

This combination of small total volume, massive growth rate, and conversion parity with organic search is why this is worth paying attention to now rather than waiting until the channel is crowded.

Rand Fishkin and Patrick O’Donnell ran a large experiment where they tested nearly 3,000 prompts across tools like ChatGPT, Claude (AI assistant), and Google Gemini.

They wanted to see how consistent AI recommendations actually are. The headline result was surprising. The chance of getting the exact same list of brands twice was less than 1 in 100.

Image Source: Search Engine Land

But in tighter B2B SaaS categories, the same brands kept appearing even when the question was phrased completely differently. The AI wasn’t pulling random results, it had a default shortlist. And once a company becomes part of that default set in a category, it tends to stay there. 

That compounding effect is exactly what early AEO work is trying to capture. Iit’s one of the strongest arguments for getting into this now rather than once the category is already settled.

You might be interested in LLM SEO: Guide to ranking in AI search results

What makes an Answer Engine Optimization agency worth hiring

Almost every SEO agency now claims they “do AEO.” The real signal usually appears during a conversation, not on a homepage. Here’s what I look for.

1. They focus on evaluation-stage content

AI tools often pull from comparison pages, “best of” lists, and alternatives content. Strong agencies prioritize getting you featured in these and building similar assets on your site. They don’t just focus on top-of-funnel blogs.

2. They track prompts mainly

AEO agencies test real buyer prompts in tools like ChatGPT or Perplexity, then track how often your brand appears, how it’s described, and how that changes over time.

3. They treat brand mentions as key signals

Beyond backlinks, AI systems look at how your brand is discussed across the web. Strong agencies actively build mentions in review sites, publications, comparison pages, and community platforms.

4. They connect content, authority, and technical SEO

Consistent AI visibility comes from three things working together: high-quality, well-structured content; strong brand authority across credible sources; and a technical setup that makes content easy for AI to access and interpret.

Keep this framework in mind as you evaluate any agency, it’s a useful lens for every conversation you’ll have.

How to choose the right AEO agency for your SaaS business

AEO messaging is everywhere now, so focus on how agencies answer, not what they claim.

Questions to ask on a sales call:

“How do you help brands appear in AI answers?”

Look for specific tactics: comparison content, prompt tracking, placements in roundups, and building presence in sources AI tools reference. Vague answers are a red flag.

“How do you measure AEO performance?”

They should go beyond keyword rankings and track real prompts across tools like ChatGPT, Perplexity, or Gemini while measuring visibility, positioning, and changes over time.

“Can you show real examples?”

Ask for proof like screenshots, live prompts, or case studies. If they can’t show actual results, they’re likely still early in their AEO maturity.

Closing thoughts

AI answers are now a part of how SaaS buyers research tools. For many of them, it’s becoming the first step; a quick prompt to get a starting point before they open anything else. 

Someone opens ChatGPT, asks for recommendations, sees three or four tools mentioned, and begins their shortlist from there.

AEO agencies help SaaS companies become part of that moment.

The teams doing this well are not abandoning SEO. They are evolving how the work is done so that strong content, credible authority signals, and clear site structure support both traditional search and AI-generated answers at the same time..

If you are evaluating agencies right now, start with one simple test. Ask them to show you real examples of their clients appearing in AI answers. That question alone filters out a lot of noise. If an agency passes it, the conversation is worth having.

If you want to explore how Quoleady approaches AEO for B2B SaaS, book a call and we’ll walk you through it.

FAQ

1. What is Answer Engine Optimization (AEO)?

AEO (Answer Engine Optimization) is a strategy to make your brand appear in AI-generated answers from tools like ChatGPT, Perplexity, or Google Gemini. Instead of competing for clicks and impressions on search engines, AEO focuses on being one of the few products mentioned when users ask high-intent questions related to your product.

2. How is AEO different from SEO?

SEO drives clicks to your website through search engine results. AEO directly recommends your product in AI-generated responses. While SEO earns visibility on search pages, AEO earns visibility inside answers.

3. What’s the difference between SEO, AEO, and GEO?

SEO, AEO, and GEO are not separate strategies but they work together. SEO builds strong foundations through content and authority. AEO focuses on getting your brand mentioned in AI-generated answers. GEO (Generative Engine Optimization) goes deeper by optimizing how AI models interpret, group, and recommend brands. Together, they increase your chances of being surfaced in AI-driven results.

4. How much does AEO typically cost?

It varies a lot depending on the agency and scope. Boutique SaaS-focused agencies tend to start somewhere between $3,000 and $8,000 per month for a combined SEO and AEO program. More established full-service agencies can start at $10,000 or higher.

5. How competitive is my category in AI answers?

Run a few prompts yourself before you talk to any agency. Open ChatGPT, Perplexity, and Google’s AI Overviews and ask the questions your buyers would ask. See who shows up, how consistently, and how your product is described if it appears at all. That gives you a baseline and makes every agency conversation more grounded.

6. What’s a realistic timeline for seeing results?

If you already have decent SEO foundations, some categories start showing movement within two to three months. More competitive categories take longer, and there’s no reliable shortcut. Any agency giving you a specific guarantee on timing is oversimplifying how these systems work.

7. What content types actually influence AI recommendations the most?

Comparison pages, alternatives content, and category roundups tend to carry the most weight, both on your own site and as third-party placements. Deep, well-structured articles that directly answer the questions buyers ask also perform well. Short blog posts optimized for top-of-funnel awareness tend to have less influence on what AI tools actually recommend.

8. Do I need a separate agency for AEO or can my current SEO agency handle it?

Ask your current agency the same question you’d ask any new one. Can they show you a client appearing in AI answers? If they can, they’ve adapted. If they can’t, it’s worth having an honest conversation about whether they’re actively building that capability.

The post 8 Best AEO Agencies in 2026: Who’s Actually Optimizing for AI Answers appeared first on Quoleady.

That’s exactly why we’ve gone the extra mile and put together an all-inclusive list of the best SaaS marketing agencies out there. 

We’ve done all the hard work for you, carefully researching and comparing their services, pricing and results.

Whether you’re a newcomer to the SaaS scene or an experienced SaaS company owner looking to scale up, these top-notch SaaS marketing agencies can help you achieve your marketing goals and grow your business.

So don’t stress – let us take the lead and guide you through the industry’s most promising SaaS marketing agencies.

Choosing the right SaaS marketing agency

First and foremost, it’s essential to find a SaaS SEO agency with experience working with SaaS companies like yours. 

After all, SaaS marketing is a unique and specialized field, and not all marketing agencies have the expertise to promote your product effectively.

Next, you’ll want to closely examine the agency’s pricing and services to ensure they offer what you need and that their pricing is within your budget. 

Checking out their portfolio and reading client reviewscan also give you a good sense of their work quality and whether they fit your needs.

Finally, working with an agency that values transparency and communication is essential. 

You want to be kept in the loop on the progress of your marketing campaigns and be able to provide feedback and suggestions along the way. 

Ultimately, the goal is to ensure you get the results you’re looking for and are completely satisfied with the agency’s work.

Great, now that you have a better idea of what to look for in a SaaS marketing company, it’s time to dive into our list! 

The best SaaS marketing agencies to work with this year

From SaaS content writing and search engine optimization to pay-per-click advertising and more, the following agencies have the expertise and experience to promote your SaaS product effectively across digital channels.

1. Quoleady

• Office location: Estonia
• Team size: 35
• Year founded: 2020
• Industries served: Martech, fintech, edutech, HRtech
• Best suited for: B2B SaaS that have found product market fit and are looking to generate sign ups through blog content

Quoleady is a B2B SaaS SEO and AI visibility agency that helps software companies grow through organic search, content marketing, digital PR, and AI search visibility. The team works with both startups and enterprise SaaS brands, helping them increase qualified pipeline and revenue through sustainable inbound growth.

We’ve been working with SaaS businesses across the USA and Europe for years, and our commitment to quality, care, and consistency sets us apart from other agencies. We are also committed to creating one of the best SaaS content marketing blogs to inspire you.

Our personalized content marketing strategies deliver results and turn your website visitors into buyers. 

We start by analyzing your market, competitors, search demand, and AI search landscape to identify growth opportunities that can drive qualified traffic, visibility, and revenue. Plus, we can update your old content to make it more engaging, relevant, and SEO-friendly.

We offer SEO, content marketing, digital PR, authority-building campaigns, placements in trusted industry publications, and manual outreach programs that help software brands improve visibility across both traditional search engines and AI-powered discovery platforms.

Our main objective is not simply to increase website traffic but rather to encourage people to sign up for your services.

With Quoleady, you can rest assured that your content marketing needs will be handled with the utmost care and attention to detail.

So why choose us? Our team is passionate about delivering quality work that drives results.

We understand that every business is unique, and we take the time to get to know you and tailor our approach to your needs.

Schedule a consultation today and see the difference quality, care, and consistency can make for your business.

Key services

• SaaS content audit: We analyze your content performance and make recommendations on the production process changes to boost your rankings.
• SaaS content production: Our experienced in-house writers create articles based on deep research, detailed briefs, SEO tools, and best practices.
• Keyword research for SaaS: We conduct SEO keyword research, focusing on keywords that are likely to convert. We identify alternative keywords with solid search volume and to enhance your content’s reach.
• SaaS content strategy: Our content strategists analyze your product, competitors, and keywords to craft the perfect high-intent contentplan aimed at generating leads.
• Optimizing SaaS blogs for SEO: We optimize your content for search engines, ensuring it meets SEO best practices to improve rankings.
• SaaS link building: Our manual outreach and conscious approach let us build high-quality white-hat backlinks in an ethical way.

Notable results

Image source: Founders’ Hustle

1. We helped get Expandi from 0 to $7M ARR in a couple of years
2. We brought 50K visits and 650 leads with just 20 articles for RingBlaze
3. We brought 500 leads with 16 articles in 4 months for FullSession

Pricing

At Quoleady, we offer pricing flexibility and transparency with no hidden fees. We aim to provide high-quality content marketing services that maximize your budget and help you achieve your goals.

We offer a range of content packages designed to fit your needs and budget to maximize your investment. 

Our ongoing content writing services and link building containers come with performance-based pricing. That means you only pay when your links get published, ensuring you get the most value for your money.

You can find all the details on our Pricing page or schedule a consultation for details.

2. Holini

• Office location: Tallinn, Estonia
• Team size: 10-49
• Year founded: 2016
• Industries served: B2B SaaS, cybersecurity, cloud computing, HR tech, fintech, vertical SaaS, sales tech, business intelligence
• Best suited for: B2B tech and SaaS companies investing $10k+ per month in PPC and looking to grow qualified pipeline while keeping CAC under control

Holini is a PPC and analytics agency for B2B tech companies. They help SaaS and tech businesses connect paid search, paid social, landing pages, and analytics into one growth system.

The agency focuses on paid acquisition and measurement, making it a strong fit for companies that want to scale PPC without losing control of CAC, lead quality, or pipeline performance.

Holini works across Google Ads, Microsoft Ads, LinkedIn Ads, and YouTube Ads. Their senior-only team also helps improve tracking and reporting, so marketers can see what is driving revenue instead of only clicks or lead volume.

For SaaS companies with longer sales cycles or complex buyer journeys, Holini is worth considering when paid media is already an important growth channel.

Key services

• Paid search strategy and management
• Google Ads and Microsoft Ads
• Paid social strategy and management
• LinkedIn Ads and YouTube Ads
• PPC tracking and reporting
• Full-funnel analytics setup
• Custom KPI dashboards
• Landing page and creative design add-ons

Notable results

• +37% MQL volume growth and +25% Sales Accepted Leads for a sales tech company
• +106% paying customer growth and −43% CAC for an HR tech company
• +171% new client revenue growth and −41% CPA for a cloud computing company
• Helped Livespace improve Google Ads performance, lead quality, and PPC tracking

Pricing

Holini does not publish fixed packages on its website. Pricing is shaped around the company’s goals, PPC setup, analytics needs, and scope of work. Their process usually starts with a discovery call and account audit before a custom proposal is prepared.

3. Omnius

• Office location – London, UK
• Team size – 10-50
• Year founded – 2021
• Industries served – SaaS, Fintech, LLM, AI, MarTech
• Best suited for – SaaS and Fintech startups at any stage looking for an SEO & AEO partner that understands product-led growth and builds strategies around revenue, not just traffic.

Omnius is a B2B SEO & AI search marketing agency focusing specifically on SaaS and Fintech companies. If you need a marketing partner that actually understands product-led growth, subscription metrics, and how SaaS businesses scale, this agency was designed for exactly that.

Unlike generalist marketing agencies that chase search volume and work for every niche, Omnius focuses on what drives conversions. 

With over 10 years of working exclusively with SaaS and Fintech companies, they know the metrics that matter: MRR, churn, LTV and how to build SEO, GEO and content marketing strategies that impact them. 

They keep everything under one roof, so you’re not juggling multiple vendors or micromanaging content production.

Key services

• SEO
• Technical SEO
• Content Marketing
• Generative Engine Optimization (GEO)
• Programmatic SEO (pSEO)
• Off-page SEO
• Link Building

Notable Results

• Grew an AI SaaS tool from 0 to 2.73M organic clicks in 13 months.
• Scaled a SaaS company from 0 to 60K monthly organic visits in 7 months.
• Increased AuthoredUp conversions by 64% through content strategy and website optimization.
• Grew SaaS from 67 to 2,100+ monthly signups in 10 months using programmatic SEO.
• Generated 2.4M+ attributed organic signups for clients in one year.
• Average client sees +426.7% YoY organic traffic growth.

Pricing

Omnius doesn’t use fixed packages. Pricing depends on your project scope, competitive landscape, timeline, and growth goals. They build custom strategies based on what your business actually needs, not what fits into a standard tier. You can reach out to them via their contact form to discuss your specific situation and get pricing tailored to your goals.

4. 7 Eagles

• Office location – Texas (USA)
• Team size – 50
• Year founded – 2019
• Industries served – SaaS, B2B, Fintech, Healthtech, Insurance Marketing, Martech
• Best suited for – SaaS and B2B companies with ambitious growth targets, seeking a partner that can turn complex marketing challenges into predictable pipeline and revenue outcomes.

If scaling pipeline and revenue is your top priority, 7 Eagles SaaS Marketing Service  brings the expertise and systems to make it happen.

Unlike generalist agencies, 7 Eagles is purpose-built for SaaS and B2B growth marketing. Trusted by companies across diverse markets, they have a proven track record of helping businesses break through plateaus and win in competitive markets. 

Their global presence and deep domain expertise make them uniquely positioned to solve the complex challenges of long sales cycles, multi-stakeholder buying committees, and ROI-driven marketing.

Key services

• SaaS SEO
• SaaS PPC
• SaaS Link Building
• SaaS Content Marketing
• Account-Based Marketing
• Founder’s LinkedIn Management
• Fractional CMO
• Conversion Rate Optimization
• Automation
• Analytics and Tracking Codes Optimization
• Web Design and Development

Notable Results

• Boosted trial-to-paid conversions by 50% and cut time-to-value by 40% for a B2B SaaS automation platform, improving retention and reducing churn by 20%.
• Increased organic traffic by 50% for a SaaS platform, with 30+ keywords on page one, leading to 40% more MQLs and 35% more SQLs.
• Helped a global hospitality SaaS leader achieve 40% more MQLs, 30% more SQLs, and a 25% lift in MRR, alongside higher engagement and stronger search visibility.

Pricing

7 Eagles follows a value-driven engagement model tailored to business outcomes, not vanity metrics.

Pricing typically begins with a strategic audit and growth roadmap, followed by a fully managed execution plan. Their approach is designed for SaaS and B2B teams ready to invest meaningfully in scalable growth and expecting real pipeline impact in return.
If you’re looking for a growth partner that combines deep SaaS growth expertise, proven systems, and global perspective, 7 Eagles is built for you.

5. The Rubicon Agency 

• Office location: London, UK
• Team size: 11-25
• Year founded: 1998
• Industries served: B2B SaaS, Cybersecurity, Cloud, AI, Enterprise Technology
• Best suited for: B2B SaaS and technology companies with complex products, unclear messaging, or marketing that lacks focus and consistency

If you’re a B2B SaaS company looking for a technology marketing agency that brings structure and clarity to how you go to market, The Rubicon Agency is worth considering.

They have worked in technology marketing for over 25 years, supporting SaaS and enterprise technology companies at different stages of growth. Their work typically focuses on helping teams define what they want to be known for, how they explain it, and how marketing activity supports that story over time.

The Rubicon Agency is used to working with technical products, specialist audiences, and buying groups made up of multiple stakeholders. They help SaaS teams simplify complex propositions, prioritise what matters, and build marketing programmes that are easier for internal teams to execute and sustain.

Rather than operating as a volume-led agency, they work closely with clients on strategy, content, and demand activity that fits the reality of their market. This approach suits SaaS companies that want joined-up thinking across messaging, content, and channels without overcomplicating their marketing stack.

Key services

• Proposition development and messaging for SaaS companies
• Content strategy and long-form thought leadership
• Demand generation for B2B SaaS and enterprise technology
• SEO and organic visibility for technical markets
• Account-based marketing programmes
• Sales enablement content and narrative development
• Website strategy and UX for B2B buyers

Notable results

• Helped a B2B SaaS scale-up move from inconsistent inbound activity to a structured content and demand generation programme, resulting in 78% growth in MQLs over a 12-month period.
• Reduced CPA by 45% for a growing EdTech company through an integrated programme incorporating paid social, paid search, SEO/AEO, messaging and positioning and content marketing.
• Delivered integrated content and demand initiatives for SaaS businesses operating in crowded categories, supporting pipeline development across long and multi-stakeholder sales cycles.

Pricing

The Rubicon Agency does not offer fixed packages. Pricing is shaped around the scope of work, level of senior involvement, and the complexity of the market being addressed.

This approach suits SaaS teams that want a considered, strategic partner rather than a high-volume execution model.

6. Powered By Search

Office location: Toronto, Canada
Team size: 35
Year founded: 2009
Industries served: Cybersecurity, DevOps, Vertical SaaS, Fintech, HR Tech
Best suited for: B2B SaaS companies with strong product-market fit, scaling from $10M to $100M+ in revenue, and looking to turn ad dollars and content into real pipeline

If you’re a B2B SaaS company looking for a strategic growth partner with deep expertise in B2B SaaS, Powered by Search should be on your radar.

For over a decade, they’ve helped SaaS companies scale demand generation that actually converts. Their specialty lies in executing strategies that turn traffic into demo requests, demo requests into pipeline, and pipeline into closed revenue.

Powered by Search works exclusively with B2B SaaS companies and understands the long sales cycles, complex buying committees, and pressure to prove ROI. They don’t chase traffic or vanity metrics, they align their programs to business outcomes and measure success in pipeline, not just clicks or leads.

With deep expertise across paid media, SEO, content strategy, and RevOps, they build integrated systems that connect strategy to execution. If you’re tired of generalist agencies or running your own Google and LinkedIn campaigns with mixed results, they’ll meet you where you are and scale what works.

Key services

• SaaS content strategy that maps directly to buyer pain points
• Click-to-close Paid media management across Google, LinkedIn, and Meta
• Optimize to get mentioned by ChatGPT and other LLMs using our RAISE framework
• SEO content tailored to attract buyers across their decision journey
• Marketing and revenue operations to close the gap between leads and revenue
• Attribution modeling and analytics inside your CRM. No black boxes
• Conversion-focused content production, audits, and optimization

Notable results

• Increased Opportunities by 12X for ThreatX
  Drove 7-figure revenue growth under a year from paid media for iWave
  Increased demos by 300% within 6 months for TouchBistro
  
  Pricing
  Powered by Search offers value-based pricing tailored to your goals, not a one-size-fits-all retainer or a percentage of ad spend.

Engagements typically begin with a strategic audit, followed by onboarding and ongoing management. Pricing scales with complexity, not budget, making it ideal for teams investing meaningfully in growth and expecting real pipeline outcomes in return.

If you’re looking for a partner that does not price based on inputs and instead prices based on impact, Powered by Search is built for you.

7. SimpleTiger

• Office location: Sarasota, FL, USA
• Team size: 11-50
• Year founded: 2006
• Industries served: Adtech, Fintech, Martech, Biotech, HR and Payroll, etc.
• Best suited for: Medium and large-sized businesses

SimpleTiger is a content marketing and SEO agency with an agile approach to working with worldwide tech companies. 

They offer customized solutions that cater to your business needs, or you can choose one of their SEO services to boost your online presence.

What sets them apart is their ability to integrate quickly into your team and become an extension of your business.

They use a project management system to handle the project, Slack for consistent communication and organize weekly strategy calls and check-ins to keep you updated on your SEO performance.

In addition, SimpleTiger can produce content for your business or guide and manage your team through the production process.

Key services

• Paid advertising
• Keyword research
• Technical optimization
• Content marketing
• Link building

Notable results

1. They increased organic search traffic by 31% for JotFrom compared to the prior period.
2. Within the initial two months of the project, they improved 1320 ranking positions across all tracked keywords for Segment.
3. They increased total conversions from organic search traffic by 120% for Bidsketch.

Pricing

SimpleTiger offers three pricing packages that vary in content volume and the number of backlinks included. 

However, they do not disclose the pricing information on their website, and you need to reach out to the agency to request a proposal. 

Additionally, you can schedule a call to gather more information.

See also: Best international SEO agencies

8. Uplift Content

• Office location: Halifax, Canada
• Team size: 2-10
• Year founded: 2017
• Industries served: Sales and marketing, digital adoption platforms, content management system
• Best suited for: small and medium-sized businesses

Uplift Content is a boutique SaaS content marketing agency that works explicitly with B2B SaaS companies. They primarily offer content writing services.

Their focus on fostering strong customer relationships distinguishes them from other agencies. They are highly responsive and readily available to address their client’s needs. 

Moreover, they pride themselves on their ability to seamlessly integrate into their clients’ workflow and their systematic approach to creating marketing materials that yield results.

For every writing project, Uplift Content assigns both a writer and an editor-in-chief to work on the content. 

Their team of B2B SaaS content writers is skilled in crafting compelling human stories around technical topics.

Key services

As we mentioned previously, this agency concentrates on content writing. They can create and edit the following content formats for your business:

• Blog posts
• E-books
• Case studies
• White papers

Notable results

1. 129% increase in traffic growth for LeanData
2. 435% increase in time on page for WalkMe
3. 233% increase in new leads from organic search for Author-it

Pricing

Uplift Content does not publicly disclose its pricing information. To get this info, you can contact them via email or schedule a call with the agency for further details.

See also: Best B2B content marketing agencies

9. Single Grain

• Office location: Remote, USA
• Team size: 51-200
• Year founded: 2009
• Industries served: SaaS, ecommerce, education, crypto and blockchain
• Best suited for: Medium to large sized businesses

Single Grain is a full-service digital marketing agency focusing on driving quality traffic to your site and increasing your conversion rate to help you achieve your revenue goals.

They use a data-driven approach to inform and continually optimize their marketing efforts. 

Their growth marketing methodology helps you connect with your customers while driving leads, increasing engagement and boosting sales at the same time.

But that’s not all – they are also the brains behind Leveling Up, a private network of top-notch entrepreneurs who collaborate to grow their businesses in the content, media, and marketing space.

And if you’re looking for daily marketing advice that you can put into action immediately, you’ll want to check out their Marketing School, created in collaboration with Neil Patel.

Key services

• SEO and content marketing
• Google and Facebook advertising
• Conversion rate optimization
• SaaS marketing services

Notable results

1. Nextiva reduced CPC by 41,37% while increasing leads
2. Harris Teeter increased the post engagement rate by 400%
3. Twenty20 reduced cost per MQL by 72,49%

Pricing

If you’re curious about what Single Grain can do for your business but are wondering about their pricing, you won’t find any information on their website. 

However, you can send them a general inquiry or request a free marketing plan.

10. Writing Studio

• Office location: Auckland, New Zealand
• Team size: 11-50
• Year founded: 2019
• Industries served: Variety of industries ranging from accounting to women’s health
• Best suited for: small to medium-sized businesses

Writing Studio is a performance-driven content writing agency focusing on search engine optimization. 

Unlike other B2B saas marketing agencies in our list, Writing Studio is happy to work with various industries. With Writing Studio, you’ll get access to qualified content writers who can help you boost your leads and conversions.

One thing that sets Writing Studio apart is its commitment to clear, prompt, and transparent communication. 

No matter how big or small your project is, they’ll assign a dedicated account manager to oversee it from start to finish. 

And if you need any additional services, like editing, proofreading, or fact-checking, they can manage that too.

Key services

As we mentioned, Writing Studio focuses on content writing. They provide the following services:

• Blog post writing
• Article writing
• SEO writing
• Ebook writing
• Product description writing
• Script writing
• Technical writing
• Web content services
• Newsletter writing
• White paper writing 
• Press release writing

Notable results

While you won’t find any results or case studies on Writing Studio’s website, they have a Reviews section where you can read what satisfied clients say about their work.

Pricing

Writing Studio’s pricing is refreshingly transparent – it’s based on the number of words you need and starts at $0.20 per word. Plus, if you need much content, they offer bulk pricing that can save your budget.

As for turnaround time, their shortest option is seven business days for 1-10k words.

11. Codeless

• Office location: Lone Tree, Colorado, USA
• Team size: 51-200
• Year founded: 2014
• Industries served: Project management, HR, finance, technical, publishing and health
• Best suited for: Medium to large sized businesses

Codeless is an all-in-one content production company working with software companies. They don’t just write articles – they combine SaaS marketing strategies, SEO, writing, design, and video to produce top-quality content that gets results. 

They write hundreds of long-form articles each month for some of the biggest names in the industry.

Codeless also creates a custom workflow for every client to ensure they strategize, produce, and optimize content most effectively. 

But that’s not all. Codeless also has a sister company called Wordable that can help you publish your content in one day or less! So they’ve got you covered if you’re on a tight deadline.

Key services

• SEO
• Content production
• Content writing
• Video creation
• Design

Notable results

1. Their blog posts for Nextiva are ranking in the top 10 pages and driving organic traffic to their website. With only five blog posts, they generated 67 referring domains and 173 backlinks.
2. Freshworks experienced a 61% year-over-year increase in billings, and one of the key factors contributing to this success was its rapid blog growth. Their blog links and referring domains helped increase brand awareness and improve their domain authority.
3. One of CrazyEgg’s blog posts was a hit and generated 179 backlinks and 658 referring domains and ranked for 4,500 organic keywords.

Pricing

At Codeless, you can easily find pricing information on their website. They offer three different pricing plans, starting at $10,000 for 12,000 words. 

Each plan varies in terms of the services provided, word count, number of revisions, and the ability to replace a writer if needed.

12. Brafton

• Office location: Boston, MA, USA
• Team size: 200-500
• Year founded: 2008
• Industries served: Technology, healthcare, finance, education and manufacturing
• Best suited for: Large businesses

Brafton is a full-service growth marketing agency that helps Software as a Service companies with their content production.

Brafton does everything from designing and executing marketing campaigns to creating, strategizing and distributing content. 

They have a team dedicated to taking your prospects through the buyer’s journey, from first becoming aware of your brand to eventually becoming long-term customers.

Brafton’s content marketing strategists are all about quality over quantity, and they use data analysis to ensure the content they create is what you need to achieve your goals.

Key services

• Content writing 
• Video marketing 
• Graphic design
• Lead magnet creation
• Influencer marketing
• Marketing automation
• PPC campaigns
• Paid social ads
• Web development

Notable results

1. They helped a global IT services company increase inbound leads by 51%
2. They raised the estimated monthly traffic value generated from five pages by 664% for a client in ERP software
3. They reduced a client’s cost-per-lead by 63% through balanced content marketing

Pricing

Regarding pricing, Brafton offers a few options depending on your needs. You can pay by the hour, per brief or word, if that works best for you. 

They also have some package deals available if that’s more your style.

Brafton also offers free benchmark SEO reports, which means they’ll look at how you’re doing in search engine optimization and give you some tips and tricks to improve. 

They’re also happy to provide general guidance free of charge when it comes to SEO. 

13. Growfusely

• Office location: Ahmedabad, Gujarat, India
• Team size: 11-50
• Year founded: 2018
• Industries served: Technology, healthcare, finance, education and marketing
• Best suited for: small to medium-sized businesses

Growfusely is a B2B SaaS marketing agency you can work with on SaaS-specific marketing services such as content strategy, creation, promotion and search engine optimization. 

They present themselves as a one-stop shop for everything you need to boost your rankings and get more users.

They have a full-time team of content strategists, content writers, digital marketers, link building specialists, SEO professionals and social media managers to scale your business.

Key services

• Content strategy
• Content creation
• Content distribution
• Thought leadership
• SEO consulting
• SEO audit
• Technical SEO
• Link building
• Local SEO
• Google penalty recovery
• Website migration
• Public and media relations
• Editorial and influencer relations

Notable results

If you’re looking to check out some case studies, reviews, or client testimonials on the Growfusely website, you’re out of luck. Unfortunately, they don’t have any of that content posted.

Pricing

There is no pricing information available on the official website. You can contact the agency by email to get more details.

14. Flying Cat Marketing

• Office location: Barcelona, Catalonia, Spain
• Team size: 11-50
• Year founded: 2020
• Industries served: B2B tech, hospitality & travel tech, localization, marketing and growth
• Best suited for: small to medium-sized businesses

Flying Cat is a company that offers B2B SEO services to help SaaS businesses achieve predictable and sustainable monthly recurring revenue growth.

They have a team of in-house specialists, including SEO experts, growth hacking strategists, and content writers, who work together to develop and implement effective strategies. 

They create content that addresses specific growth challenges by combining data-driven SEO techniques and customer insights.

They focus more on helping customers with educational and conversion-oriented content during their buying journey rather than only looking at SERPs and keyword research tools.

Key services

• SEO strategy 
• Search engine optimization
• Technical SEO
• SEO audit
• Content writing

Notable results

1. A 986% increase in qualified traffic with a funnel strategy for Stonly
2. A 500% increase in demo requests in 10 months for Mixmax
3. A 227% growth in MRR in 6 Months for Softr

Pricing

Although Flying Cat doesn’t provide pricing details on their website, they offer alternative ways for potential clients to learn more about their services. 

You can either sign up for their SEO ROI calculator or book a call to get more details.

15. MADX

• Office location: London, UK
• Team size: 11-50
• Year founded: NA
• Industries served: Martech, fintech, edutech, HRtech and cryptocurrency
• Best suited for: small to medium-sized businesses

MADX is a growth marketing consulting agency that helps SaaS companies drive sales and traffic. They focus on improving  SQLs, paid accounts, and conversion rates.

One thing that sets MADX apart from other agencies is its experience building SaaS products. It gives them a unique perspective and helps them better understand their clients’ challenges.

MADX offers custom SEO growth models and interactive reports that you can easily share with your internal teams. 

They strongly emphasize creating relevant content, optimizing older content, and boosting domain authority to improve search engine rankings and drive traffic to your website.

Key services

• SEO for SaaS
• Technical optimization
• Link building
• Keyword research
• Content marketing
• Paid search

Notable results

1. Good Annotations got 300 new backlinks in 90 days and 365,000 page views in six months
2. Postalytics got 81k organic monthly visitors and 1000+ new accounts through organic search
3. Longvadon increased organic site traffic by 277%

Pricing

MADX offers five different pricing packages tailored to your specific needs. However, they don’t make the pricing information public on their website. If you want to learn more, you’ll need to contact the agency directly.

16. Bay Leaf Digital

• Office location: Grapevine, TX, USA
• Team size: 11-50
• Year founded: 2013
• Industries served: B2B SaaS, including Cybersecurity, Hospitality, Logistics, Technology
• Best suited for: Small to Medium B2B SaaS Companies Ready to Scale

Bay Leaf Digital is an agile full-service SaaS marketing agency with data-driven strategies that increase brand awareness and generate leads. Their specialists drive opportunities for sales teams, boost revenue and achieve quick marketing ROI by placing products and services in front of highly targeted audiences. They are experts at carefully nurturing leads on a path from awareness to consideration that converts them from prospects into users.

Key services

• Marketing strategy 
• SEO and AI SEO 
• PPC and retargeting 
• Content marketing 
• Cold email outreach 
• Social media marketing 
• Marketing automation 
• Marketing analytics

Notable results

• 54% of leads qualify as opportunities for a localization platform.
• 3X increase in leads, 93% decrease in CPL and 450X more webinar leads for an environmental management SaaS.
• 171% increase in website traffic and 10X increase in top 10 SERP results for a cybersecurity solution.

Pricing

The agency’s packages range from a month-to-month commitment for recently launched companies to options for mid-size businesses and others designed to maximize market share for established enterprises. Custom engagements are always available.

The best SaaS marketing agencies: A short overview

Now that we’ve provided you with a comprehensive list and overview of the top SaaS marketing agencies, we want to make things even easier. 

We’ve compiled all the critical information into a handy table, which will help you compare and contrast the agencies more quickly and make an informed decision that best fits your needs.

Let’s now address some frequently asked questions by SaaS business owners regarding hiring SaaS marketing agencies.

How much should you expect to pay for SaaS marketing services?

SaaS marketing services come at differing costs depending on the agency and services required. Some agencies charge a flat fee, while others charge by the hour or based on performance. 

The average cost ranges from a few thousand dollars to tens of thousands per month. It’s important to note that the quality of services often corresponds to the price. 

Cheaper agencies may lack the expertise and resources to deliver desired results, while more expensive ones can provide comprehensive services and better outcomes.

To ensure that the cost aligns with both your budget and marketing goals, consider the level of expertise and experience required to achieve your desired results.

How long does it take to see results from SaaS marketing campaigns?

The results of your SaaS marketing campaign may take different amounts of time to show up. It all depends on factors such as the type of campaign, the channels you use, and your campaign goals.

Some campaigns may kick off within a few weeks, while others may need several months to generate significant outcomes. 

Remember that it’s crucial to have reasonable expectations to avoid disappointments down the road.

How does a SaaS marketing agency track and report on results?

A reliable SaaS marketing agency should have a system in place for tracking and reporting the success of your marketing campaign. You should receive regular reports that showcase essential metrics, like website traffic, leads generated, and sales figures.

But it’s not enough to get the data. A good agency should also offer analysis and insights to help you understand the numbers. 

They can provide valuable information on what’s working and what’s not so that you can make informed decisions about your marketing strategies.

This information can be crucial in adjusting your campaigns as needed, ultimately leading to a more successful marketing effort.

Common mistakes to avoid with a SaaS marketing agency

When collaborating with a SaaS marketing agency, it’s crucial to avoid some common mistakes that can hinder your marketing efforts.

First, don’t assume the agency knows everything about your business and industry. Relevant information and context can help them effectively promote your product or service.

Second, don’t micromanage the agency. Although it’s essential to stay updated on the progress of your campaigns, trust the agency to do its job and give it the freedom to be creative and innovative.

Lastly, don’t hesitate to ask questions and offer feedback. Effective communication is crucial to a successful working relationship with a SaaS marketing agency. 

Feel free to share your ideas and concerns, as this can help the agency tailor their approach to meet your needs better.

Why Quoleady is one of the best SaaS marketing agencies

Quoleady is an agency that can take your SaaS marketing efforts to the next level. Here are ten reasons why we may be the reliable partner you need:

• Expertise: We have a team of experienced professionals who are well-versed in SaaS marketing.
• Customized approach: We tailor our approach to each project to meet our client’s needs.
• Proven track record: We have a history of delivering client results.
• Strategic mindset:  We take a strategic perspective to ensure all efforts align with your business goals.
• Innovative solutions: We constantly explore new and innovative ways to improve our marketing efforts and achieve better results.
• Transparency: We provide regular updates and reports, informing you of progress and results.
• Client-centric focus:  We value client satisfaction and strive to exceed expectations.
• Effective communication: We prioritize open and effective communication to ensure you’re always up-to-date.
• Flexible approach: We are adaptable and can adjust to changes in your business needs or goals.
• Competitive pricing: We offer high-quality services at competitive prices, making them accessible for businesses of all sizes.

If you’re interested in learning more, book a call today to discuss how we can help your business thrive.

The bottom line about SaaS marketing agencies

A SaaS marketing agency can be your secret weapon if you’re a SaaS company owner looking to boost brand awareness, generate more leads, and drive sales. 

Look for an agency with a proven track record of success in SaaS marketing and ensure the agency’s rates are aligned with your budget and the goals you have for your marketing campaigns.

With the right SaaS marketing agency, you can take your business to the next level and achieve long-term growth and success. 

If you’re ready to explore your options, book a call with Quoleady today to see how we can improve your performance.

FAQs about SaaS marketing agency

What are SaaS marketing agencies?

SaaS marketing agencies specialize in promoting SaaS products across various online channels. Using their skills and expertise can make your online presence shine. Their ultimate goal is to help you build brand recognition, generate more leads, and boost sales. Whether launching a new product or looking to scale up an existing one, SaaS marketing agencies are your go-to resource for increasing the visibility of your SaaS business.

What services can you expect from a SaaS marketing agency? 

The list of services offered by SaaS marketing agencies range from search engine optimization (SEO) and pay-per-click (PPC) advertising to conversion rate optimization, inbound marketing, content marketing and beyond. These agencies provide you with a team of true experts who know precisely how to use these services to get you the results you’re looking for. So no matter your specific needs and goals, you can trust that a skilled SaaS marketing agency will have you covered.

How to choose the right SaaS marketing agency?

Consider the agency’s experience, specialization, and client portfolio. Ensure their expertise aligns with your needs (e.g., SEO, content marketing, PPC). Check past work and client testimonials. Confirm their pricing fits within your budget. Assess how they report and collaborate with clients.

Are SaaS marketing agencies only for large businesses?

No. SaaS marketing agencies cater to businesses of all sizes, from startups to enterprises. Many agencies offer scalable solutions to meet the needs of smaller companies as well.

Can a SaaS marketing agency help improve my SEO rankings?

Yes, most SaaS marketing agencies offer SEO services tailored to SaaS companies, including keyword research, on-page optimization, technical SEO, and link-building strategies to enhance your organic visibility.

Can SaaS marketing agencies assist with product launches?

Absolutely. Many SaaS marketing agencies specialize in creating go-to-market strategies for new products, including pre-launch campaigns, promotional content, and targeted advertising.

The post 10+ SaaS Marketing Agencies Compared [2026 Review] appeared first on Quoleady.

What has shifted is the level of seriousness around it. Twelve months ago, most SaaS marketing teams knew AI search was something to keep an eye on. Now it’s in the budget conversation. It’s in the agency brief. It’s the thing a VP of Marketing brings up on a strategy call because their CEO just asked about it.

As a result, a flood of agencies are claiming to specialize in AI SEO.

Some of them have genuinely adapted how they work by building AI visibility into their strategies, tracking prompt appearances, placing clients in the sources AI tools actually reference. Others updated their website copy and called it a pivot.

Over the past few weeks, I spent time looking at who’s actually doing meaningful work in this space. I looked at methodologies, client results, and whether agencies could demonstrate real AI visibility for the brands they work with.

This list is what came out of that process. 

How I evaluated these AI Search Optimization agencies for ChatGPT

I want to be upfront about how I put this list together, because “AI SEO agency” has become a label a lot of people are slapping on existing services right now.

Here’s what I actually looked for:

Experience with B2B SaaS:

• Do they understand SaaS buying journeys, long sales cycles, and the difference between driving traffic and influencing a shortlist?
• Have they worked with software companies in competitive categories, not just content-light niches?

Genuine understanding of AI search behavior:

• Can they explain how LLMs source and surface information in a way that informs their actual strategy?
• Are they tracking prompt-based visibility, or repackaging keyword rankings?

Approach to content and authority:

• Is their content strategy built around entity authority and AI citation, or is it still fundamentally a traffic play?
• Do they have a clear point of view on brand presence building across third-party sources?

Proof of visibility in AI tools:

• Do they show up themselves when you ask ChatGPT or Perplexity about AI SEO agencies?
• Can they demonstrate that their clients appear in relevant AI answers?

Strategic thinking beyond “publish more content”:

• Are they thinking about information architecture, entity consistency, and external brand signals?
• Do they have a measurement framework that goes beyond organic traffic?

Clear, honest positioning:

• Are they specific about what they do and who they serve, or is it generic SEO rebranded with “AI” added to the headline?

The agencies on this list passed most of these criteria. None of them are perfect, and I’ll note where I see limitations, but all of them are worth a serious look if AI search visibility is a priority for your team.

Top 8 AI Search Optimization Agencies for ChatGPT 

1. Quoleady

Overview

Quoleady is a B2B SaaS SEO and AI visibility agency that helps software companies grow through organic search, digital PR, and expert-driven content marketing. The company works with both startups and enterprise software brands. Quoleady helps clients improve visibility in Google and AI search, create research-backed content, build authority in their category, and drive qualified pipeline and revenue growth. Today, they operate with a distributed team of 30+ specialists across 10+ countries and have worked with more than 200 SaaS brands, including PandaDoc, Monday.com, and Expandi.

Why they’re relevant for ChatGPT SEO services

Quoleady’s approach naturally aligns with AI search optimization because it focuses heavily on entity authority, category depth, and brand credibility across the web. Their work combines traditional SEO with LLM optimization (LLMO), helping SaaS brands show up not just on Google, but inside AI-generated answers across platforms like ChatGPT, Perplexity, Gemini, and Google AI Overviews. 

Because the agency specializes entirely in B2B SaaS, the strategies are tailored to how SaaS buyers research and compare tools, which is exactly the type of behavior AI search now shapes.

What they do that affects AI answers:

• Content strategy built around topic authority and entity depth, not only keyword clusters
• LLM Optimization (LLMO) to improve brand visibility inside AI-generated responses
• Digital PR and link building to strengthen third-party brand mentions
• Strategic listicle inclusions and content partnerships to expand citation footprint
• Technical SEO including site architecture, internal linking, schema, llms.txt, and indexation
• Analytics setup to track LLM-driven traffic and conversions

Strengths

Deep SaaS specialization is the biggest advantage here. Because Quoleady works exclusively with B2B software companies, the content and strategy tend to reflect real category expertise, which is increasingly important for AI citations. After working with 200+ SaaS companies, the team also has strong pattern recognition around what actually drives sign-ups and product adoption from organic channels.

Limitations

Their specialization is also their biggest constraint. Quoleady isn’t designed for ecommerce brands, local SEO campaigns, or consumer products. If you’re outside the B2B SaaS ecosystem, you’ll probably want an agency with a broader focus.

Best for

Growth-stage and established B2B SaaS companies that want a partner who understands both traditional SEO fundamentals and emerging AI visibility.

Key services:

• SEO content strategy and creation
• LLM Optimization (LLMO)
• Digital PR and link building
• Content partnerships and listicle inclusions
• Technical SEO and site audits
• Content refresh and optimization

Results / case studies

Helped LegalNodes reach #1 organic position (just beneath the AI Overview) within 24 hours of going live with one article. Four other articles secured top 10 organic rankings. You can read the full LLMO case study here.

2. Embarque

Overview

Embarque is a performance-focused SEO and AI search agency led by Jules Canlas. They help scaling companies (SaaS, HealthTech, FinTech, EdTech, LegalTech, marketplaces) turn organic search into a measurable revenue channel. Clients include VEED, Riverside, MentorCruise, SignWell, and Klap.

Why they’re relevant for AI SEO

Early adopters of AI search optimization, Embarque focuses on making content citation-ready for platforms like ChatGPT, Perplexity, and Gemini. They test hundreds of prompts per client to track where brands appear, and where they don’t.

What they do that affects AI answers

• LLM SEO with dashboards tracking AI citations and brand mentions
• Content structured for AI parsing, plus semantic markup and entity mapping
• Prompt-based visibility testing across buyer queries
• Manual link building to boost authority
• Technical SEO (schema, metadata, crawlability)

Strengths

Strong measurement infrastructure that ties AI visibility directly to revenue. Transparent about timelines and realistic expectations.

Limitations

Broad industry focus may limit deep specialization in SaaS compared to niche agencies.

Best for

Tech and SaaS companies that want a data-driven AI search partner with strong visibility tracking.

Not ideal for

Teams looking specifically for deep B2B SaaS specialization or agencies focused on paid demand generation.

Key services

• LLM SEO and AI citation optimization
• Technical SEO and on-page optimization
• Content strategy and creation
• Link building and digital PR
• Custom AI visibility dashboards
• Prompt testing and brand monitoring

Results / case studies

• Generated 25,000 monthly visits from LLM traffic converting at 17% for a video downloader platform
• Helped MentorCruise increase revenue 1,600% year over year
• Clients like SignWell and Klap now receive thousands of monthly visits from AI search platforms

3. SayNine

Overview

SayNine is a link building agency that has expanded into AI search optimization, helping brands move from “ranking” to getting recommended by AI-driven platforms. They work with SaaS and tech companies through a mix of link building, listicle placements, brand mentions, and content services. Clients include EasyDMARC, SuperAnnotate, GroWrk, Airfocus, Deliverect, Elementor, 1up.ai, and more.

Why they’re relevant for AEO

SayNine’s core work, listicle placements, brand mentions, and link building, is exactly what shapes AI answers. Tools like ChatGPT and Perplexity lean on third-party roundups and comparison content when deciding which brands to recommend, and SayNine drops clients directly into those sources.

What they do that affects AI search engines

• Strategic listicle writing and publishing on high-authority websites
• Brand mention building across trusted sources to strengthen third-party signals
• SaaS-focused link building to grow DR and citation footprint
• SEO audits and technical fixes that keep sites clean and easy for AI models to parse
• SEO content writing and on-page optimization built around topic depth and entity clarity

Strengths

Consistently praised for exceptional link building and AI SEO services, on-time delivery, transparent communication, and real lifts in LLM visibility, rankings, and traffic, all at affordable pricing.

Limitations

SayNine works on a monthly retainer model, so it’s not the right fit for teams that just want a one-off audit or a short consulting project.

Best for

Brands that want to be recommended (not just ranked) by AI tools like ChatGPT, Gemini, and Perplexity, and reach the pre-qualified, high-intent users who rely on AI to shortlist solutions

Not ideal for

Not ideal for e-commerce, D2C, and local businesses.

Key services

• AI SEO services 
• SaaS link building
• Niche guest posts
• Full SEO
• SEO audits
• SEO content writing
• Web development

Results / case studies

• Increased GroWrk’s AI citations by 60% in just one month through a targeted listicle campaign, while also pushing DR from 57 to 60, and organic traffic from 5.6K to 7.2K.
  
• Improved EasyDMARC’s ranking from 77 to 1 through a strategic link building campaign, increased domain rating from 69 to 77, and organic traffic from 14K to 80K.

4. First Page Sage

Overview

First Page Sage is a San Francisco–based SEO and Answer Engine Optimization (AEO) agency founded in 2009. They specialize in B2B lead generation via thought leadership and long-term SEO. Clients include Salesforce, Okta, Microsoft, Cadence Design Systems, Verisign, and SoFi.

Why they’re relevant for AEO

They build category authority through original thought leadership, aligning with how LLMs rank credible sources. Their Generative Engine Optimization (GEO) framework creates content that shapes AI answers while influencing decision-makers.

What they do that affects AI search engines

• Lead-generation that is focused on strategic planning before content creation
• Thought leadership content with subject matter experts
• GEO strategies for ChatGPT, Perplexity, Gemini, and Claude visibility
• Keyword strategies mapped to buyer journeys
• Technical SEO and site architecture improvements
• AI-friendly content structures for generated search results

Strengths

15+ years of B2B SEO experience; thought leadership approach naturally aligns with AI credibility. Known for detailed ROI reporting.

Limitations

Premium pricing ($8K–$20K+/month) and intensive onboarding requiring substantial client SME input.

Best for

Established B2B SaaS or enterprise companies with clear positioning and internal expertise to contribute to thought leadership.

Not ideal for

Early-stage startups or teams looking for fast execution without heavy strategic collaboration.

Key services

• SEO strategy and thought leadership content
• Generative engine optimization (GEO)
• SEM and paid search
• Web design and conversion optimization
• Lead generation funnel development

Results / case studies

• Achieved a 934% increase in keyword rankings for Cadence Design Systems
• Reports an average 702% ROI over three years across B2B SaaS campaigns

5. e intelligence

Overview

e intelligence is a UK-based AI-driven digital marketing agency helping businesses across industries dominate the next generation of search. With a full-spectrum approach that spans Generative Engine Optimization (GEO), SEO, PPC, content marketing, outreach, and web development, e intelligence works with brands to drive measurable revenue through both traditional and AI-powered channels. The agency serves clients across sectors including FinTech, Real Estate, Health & Wellness, Law, eCommerce, and more that makes them one of the most versatile GEO agencies in the UK market.

Why they’re relevant for LLM search tools

e intelligence has built its Generative Engine Optimization services around the idea that search extends far beyond Google. As AI platforms like ChatGPT, Google SGE, Bing Copilot, and Perplexity become key research tools, they help clients increase visibility, citations, and recommendations across these channels while integrating GEO into a broader digital marketing strategy that strengthens overall authority and growth.

What they do that affects AI generated answers

• GEO strategies for visibility across ChatGPT, Google SGE, Perplexity, and Bing Copilot
• AEO and ChatGPT marketing for AI-driven discovery
• Content marketing, outreach, and third-party citation building
• Digital PR and link building to strengthen authority signals
• Technical SEO, schema markup, and structured data implementation
• Reddit marketing to increase brand presence in AI-referenced communities
• White-label AI SEO services for agencies

Strengths

e intelligence stands out by combining dedicated GEO expertise with a full-service digital marketing offering, allowing brands to build AI visibility without relying on multiple agencies. Their experience across industries, including highly regulated sectors such as FinTech, Law, and Pharma, helps them develop credible content strategies that strengthen authority and AI-driven discoverability.

Limitations

Their full-service approach may be more comprehensive than necessary for organizations looking for a narrowly focused AI visibility project.

Best for

Businesses of all sizes – from SMEs to enterprise brands – that want to build AI search visibility as part of a full-funnel digital marketing strategy, particularly in competitive sectors like FinTech, eCommerce, Real Estate, and Professional Services.

Not ideal for

Not ideal for businesses that only need limited GEO support rather than an integrated digital marketing strategy.

Key services

• Generative Engine Optimization (GEO)
• Answer Engine Optimization (AEO)
• ChatGPT Marketing & Reddit Marketing
• SEO, PPC, and Content Marketing
• Outreach and Digital PR
• Link Building
• White Label AI SEO
• Technical SEO and Schema Optimization

Results / case studies

• E intelligence has a proven track record of driving revenue through AI-integrated digital marketing strategies. Their client work spans significant organic growth, improved AI citation footprints, and revenue-focused campaigns across industries. Detailed case studies are available directly through the agency upon consultation.

6. iPullRank

Overview

iPullRank is a New York–based SEO and content strategy agency founded by Mike King. They work with enterprise brands across finance, technology, media, and ecommerce, including SAP, American Express, HSBC, and Zillow.

Why they’re relevant for LLM search tools

Using their “Relevance Engineering” framework, iPullRank applies technical SEO, knowledge graphs, and machine learning principles to improve brand visibility in both traditional search and AI-driven discovery.

What they do that affects AI generated answers

• Relevance Engineering linking AI retrieval mechanics to SEO strategy
• Knowledge graph and entity optimization for AI-recognizable brand associations
• Conversational search optimization for RAG-based AI engines
• Structured data and schema for AI comprehension
• Content strategies targeting micro-intents and Q&A patterns
• AI-powered dashboards tracking conversational search trends
• Advanced technical SEO including JavaScript rendering and site infrastructure optimization

Strengths

Unmatched technical depth for large, complex sites; infrastructure-level SEO expertise.

Limitations

Enterprise-focused pricing and processes that are designed for large organizations with complex digital environments.

Best for

Enterprise SaaS and technology companies with large sites and significant technical SEO needs.

Not ideal for

Early-stage startups or smaller SaaS companies looking primarily for content-led growth.

Key services

• Relevance Engineering and AI search strategy
• Enterprise technical SEO
• Content strategy and AI-powered content generation
• Knowledge graph and entity optimization
• Digital PR and authority building
• AI-powered SEO analytics

Results / case studies

• Delivered $4B+ in organic search results across the client portfolio
• One enterprise client reported the agency’s deliverable-based model was 800% more efficient than a previous engagement

7. Avenue Z

Overview

Avenue Z is a New York-based AI optimization agency that blends digital PR, SEO, and content strategy to help brands build visibility across both traditional search engines and generative AI platforms. They work across industries including FinTech, B2B SaaS, emerging tech, HealthTech, and venture-backed startups. Clients include companies like Acorns, Better, Dave, and e2open.

Why they’re relevant for AEO

Avenue Z approaches AI visibility through a PR-first lens. Their strategy focuses on getting brands mentioned in authoritative media sources, on which LLMs rely on when building training data and retrieving citations.

What they do that affects AI answers

• AI Optimization (AIO) combining content, PR, and technical SEO
• Media placements designed to increase third-party AI citations
• Brand monitoring across ChatGPT, Perplexity, Gemini, and Google AI Overviews
• Structured data and schema for entity recognition
• AI-native content optimized for generative search platforms
• Competitive AI visibility tracking

Strengths

Their strongest advantage is the integration of PR and SEO. Since AI systems often reference authoritative editorial sources, building media coverage can significantly improve citation likelihood.

Limitations

Because Avenue Z works across multiple verticals, including FinTech, HealthTech, DTC, and SaaS, their B2B SaaS specialization may be less deep than agencies focused exclusively on that category.

Best for

Brands that want to build authority and AI visibility through media coverage and PR.

Not ideal for

Companies looking primarily for high-volume content production or deep SaaS content expertise.

Key services

• AI Optimization (AIO) and GEO
• Digital PR and media placement
• AI-native content strategy
• Technical AI SEO and schema optimization
• Brand monitoring across AI platforms
• Performance media services

Results / case studies

• Built AI-ready PR and SEO content strategies for Acorns
• Positioned Better for high visibility in homeownership-related AI search results
• Helped e2open build optimized enterprise content for AI and traditional search

8. Toopixels

Overview

Toopixels is a digital marketing agency that has recently expanded into AI search optimization. Their service is designed to help brands get recognized, cited, and surfaced across AI platforms like ChatGPT, Gemini, and Perplexity. The agency focuses on companies that already produce strong content but struggle to get cited by AI tools.

Why they’re relevant for AEO

Toopixels takes a practical, step-by-step approach to AI search optimization. They start with a full audit of a brand’s visibility across both traditional search and AI answers, then work through improvements to content structure, schema, and authority signals that influence LLM recommendations.

What they do that affects AI answers

• AI visibility audits across Google, Bing, ChatGPT, Gemini, and Perplexity
• Topic, author, and brand entity alignment
• Content structure optimization for machine readability
• Schema deployment and factual clarity improvements
• Internal linking and topical citation building
• Ongoing monitoring of AI citations and search trends
• Traditional SEO improvements including technical optimization

Strengths

They’re particularly good at breaking down AI search concepts into practical steps for marketing teams. Their structured approach makes them a good entry point for companies just starting to explore AI search optimization.

Limitations

Toopixels is a smaller and more generalist agency compared with others on this list. Their AI optimization offering is relatively new, and publicly available case studies specific to AI visibility are still limited.

Best for

Small to mid-sized businesses looking for a practical introduction to AI search optimization without a large agency engagement.

Not ideal for

Enterprise SaaS companies with complex SEO environments or teams looking for deep SaaS specialization.

Key services

• AI search optimization audits
• Content structure and schema optimization
• Brand entity and citation building
• AI citation monitoring
• Technical SEO
• Paid advertising and digital marketing

Results / case studies

• Reports 90% client retention, with most clients staying longer than a year
• Detailed public case studies specifically tied to AI visibility are currently limited

What is AI Search Optimization for ChatGPT?

A lot of people assume AI search works like Google. They think there’s some kind of ranking system and you’re trying to move your page up the results.

That’s not how it works.

How ChatGPT and AI answers source information

Unlike Google, ChatGPT doesn’t constantly crawl the web and maintain a live index of pages (unless you’re using a browsing-enabled version). The base model was trained on a massive snapshot of the internet like blog posts, documentation, review sites, forums, research papers, and a lot more.

When someone asks a question, the model generates an answer based on patterns it learned during that training process.

Newer versions also use retrieval-augmented generation (RAG). In simple terms, that means the model can pull in relevant external sources at the moment a question is asked, almost like doing a quick reference check before responding. You can learn more about howretrieval-augmented generation (RAG) impacts AI recommendations and what SaaS marketers should do to stay ahead.

ChatGPT synthesizes answers. Brands, tools, and sources that show up in those answers tend to be the ones the model has encountered repeatedly across credible, well-structured content. Over time, it learns to associate certain companies with certain categories, use cases, or problems.

So if your product consistently appears in discussions about a particular topic across trusted sources, the model is far more likely to mention your brand when someone asks about that topic.

What “showing up on ChatGPT” really means

So “showing up” usually means your brand gets mentioned when someone asks something like:

• What’s a good tool for X?
• Which platforms do SaaS companies use for Y?
• What are the best alternatives to [competitor]?

That kind of visibility generally comes down to three things:

1. How often your brand appears in the content the model has been trained on or retrieved from.
2. How credible those sources are where your brand is mentioned.
3. How clearly your product is associated with specific categories or use cases.

If your brand shows up consistently in discussions about a particular problem space, the model starts to treat you as a natural example when that topic comes up.

You might be interested inA Study of 10,000 LLM Citations: Where AI Pulls Data From (SaaS High-Intent Prompts)

Where traditional SEO still matters (and where it doesn’t)

Technical SEO still matters. Crawlability and indexation determine whether your content gets discovered, while page speed and mobile experience affect performance in search and user engagement.

E-E-A-T also plays a role here. Clear authorship, expertise, and credible content make it easier for AI systems to trust what they’re seeing.

If your site has thin content, very few authoritative mentions, and almost no presence outside your own domain, AI systems don’t have enough signal to treat you as a trusted source.

Where classic SEO starts to fall short is in how content is written. A lot of SEO content is built to rank for a keyword. It’s structured around search queries and optimized for Google’s signals.

But large language models don’t think in keywords.

They look for content that explains things clearly, compares options, and adds context. Content that’s easy to understand and easy to reuse in an answer.

That doesn’t mean you need a completely different type of content. The fundamentals are the same. What changes is the priority.

Instead of writing primarily to rank, you’re writing so your content can be quoted, summarized, and referenced when someone asks a relevant question.

That also means your presence can’t live only on your own site. You need to show up across third-party articles, review platforms, and industry content. That’s what gives AI systems enough confidence to mention you when it matters.

Why B2B SaaS companies care about ChatGPT visibility 

The B2B SaaS buying journey has always been research-heavy. Buyers take their time comparing tools, reading reviews, and asking peers for input. In many cases, this process stretches over several weeks before any conversation with a sales team begins.

What’s changing is where that research starts.

AI-driven search platforms like ChatGPT are becoming a common starting point for research, which means traditional SEO alone is no longer enough for visibility.

AI tools provide quick, synthesized answers, often summarizing multiple sources into a single response. As a result, many brands are left out of these answers because their content does not align with how AI systems evaluate and select information.

According to a study by Bain & Company, a significant portion of consumers now prefer AI chatbots over traditional search engines for certain tasks, particularly when they want fast, summarized insights. This trend is especially pronounced among experienced and time-constrained decision-makers who value efficiency in early-stage research.

In practical terms, AI-generated responses are shaping the earliest phase of the buying journey. This is the stage where potential customers are identifying the type of solution they need, exploring available vendors, and forming initial impressions of credibility.

When a product appears consistently in these AI-generated answers, it often secures a place on the buyer’s shortlist before formal evaluation even begins. On the other hand, brands that are absent from these responses may only enter consideration later, when preferences have already started to form based on earlier AI recommendations.

Another important point is that visibility in AI search does not always correlate with traditional SEO performance. A company may rank well and generate steady traffic, yet still fail to appear in AI responses if it lacks the right signals across the sources these systems rely on.

At the same time, a competitor with less organic traffic but stronger presence in AI-generated answers can gain a meaningful advantage. By consistently appearing in relevant responses, they capture early attention and influence perception at a critical stage.

Over time, this advantage tends to build. Buyers who discover a solution through an AI recommendation often treat it as a trusted starting point. They are less likely to explore a wide range of alternatives, which makes it increasingly difficult for other vendors to break into consideration later in the process.

What AI Search Optimization agencies for ChatGPT actually do

Traditional SEO agencies focus on rankings. AI search optimization agencies focus on getting your brand recommended. This changes how everything is approached.

Instead of chasing the top spot for a keyword, the goal is to make sure AI tools mention your company when users ask relevant questions.

In practice, this starts with content. The emphasis is on clear, structured, and specific information that AI models can easily understand and reference. Content that explains concepts, compares options, and gives direct answers tends to perform better than generic or overly cautious writing.

Brand presence also plays a bigger role. Your company should be mentioned across credible sources. Reviews, comparisons, and industry roundups all help build the signals that AI systems rely on.

Technical SEO still supports everything. A well-structured site, strong internal linking, and proper indexing make it easier for both search engines and AI models to interpret your content.

Finally, strong agencies track how brands appear inside AI answers. They test real prompts, monitor mentions, and adjust strategy based on what shows up. This allows them to improve visibility faster, without waiting months for traditional SEO results.

How AI Search Optimization agencies differ from traditional SEO agencies

Traditional SEO agencies and AI-focused agencies may use similar tools, but their objectives are quite different.

A traditional SEO agency is centered on keywords, rankings, and organic traffic. The goal is to improve positions on Google and drive clicks to a website. This approach has been effective for years and still plays an important role today. However, it does not directly address whether a brand is recommended by AI systems.

AI search optimization agencies focus on visibility within AI-generated answers. Their aim is to get your brand mentioned when your target users ask relevant questions to LLM tools like ChatGPT for recommendations, comparisons, or solutions.

Many traditional SEO agencies find this transition challenging because their measurement frameworks rely heavily on metrics such as impressions, clicks, and rankings. These indicators do not fully capture what happens inside AI-generated responses. To understand performance in this space, agencies need to look at prompt-based testing, analyze how brands are mentioned, and review AI-generated answers directly.

Working with an agency focused on AI search often changes both planning and measurement. Content strategies move away from keyword clusters toward broader topic coverage and entity-level authority. Success is evaluated not only by traffic, but also by how often and how effectively a brand appears in AI responses.

This approach tends to take time, as it involves building a presence that AI systems recognize and trust. When done well, the result is consistent inclusion in the recommendations that shape early buying decisions.

How to choose the right ChatGPT SEO agency

The market for AI search optimization agencies is still very early. There are some genuinely smart teams doing interesting work.

But plenty of agencies have started adding “AI SEO” to their website without really changing how they operate. So if you’re evaluating partners in this space, it helps to know what to look for.

Here are a few things I’d pay attention to.

1. Do they understand AI search and Generative Engine Optimization (GEO)?

A simple way to test this is to ask them how tools like ChatGPT source information and decide what to include in answers. Ask what signals they believe influence whether a brand gets recommended.

If the explanation basically turns into a keyword strategy with a different label, that’s a sign they haven’t adapted their approach yet.

2. Do they think beyond ChatGPT?

ChatGPT gets most of the attention right now, but it’s not the only place where AI-powered answers are happening. LLM tools like Perplexity, Gemini, and Claude aren’t much different. All these tools surface information slightly differently and have different user bases.

An agency that only focuses on one platform is probably leaving visibility gaps open.

3. What is their technical approach?

AI powered content optimization still depends on strong SEO fundamentals. Your site needs clean architecture, proper indexation, and thoughtful internal linking so both search engines and AI powered tools can understand your content. The right agency should provide clear reporting on how your visibility in ChatGPT answers translates into real outcomes.

If an agency dismisses technical SEO as outdated or irrelevant, that’s a red flag.

4. Do they have proof of AI citations?

Can they show examples of their clients appearing in AI answers for relevant prompts? Can they demonstrate that their own brand shows up when you ask tools like ChatGPT about AI SEO or AI search optimization?

Look for agencies that have a proven track record of delivering measurable growth for their clients in AI search visibility. If they can’t show that kind of visibility for themselves, it’s hard to trust they can deliver it for you.

5. Are they integrating AI search with traditional SEO?

Initial improvements in AI search visibility can typically be seen within 2-3 months, with significant changes appearing around 4-6 months. The companies building durable visibility right now aren’t treating SEO as a separate strategy. They’re doing both. The agencies worth working with understand that the old signals and the new signals reinforce each other.

Final thoughts

For a long time, most discoveries happened on a Google results page. Now, more of those early questions are getting answered directly inside AI tools.

Yet the fundamentals haven’t changed. Content quality still matters. Domain authority still matters. Technical health still matters. Brand presence across the web still matters.

All of those things now need to be built with AI consumption in mind.

The companies that figure that out early will slowly build a visibility advantage that compounds over time. The ones that wait will eventually find themselves competing against companies that already dominate the recommendation layer in their category.

At Quoleady, we’ve been building toward the B2B SaaS companies we work with. We’re not the right fit for every company, but if you’re trying to understand how AI search fits into your growth strategy, it’s a conversation we’re always happy to have.

You can book a strategy call today. 

The post Top 8 AI Search Optimization Agencies for ChatGPT appeared first on Quoleady.

• best procurement software for manufacturing companies
• tools to manage supplier relationships for enterprises
• contract lifecycle management software for legal teams
• best sales enablement platforms for B2B teams
• best employee onboarding software for HR teams

We scanned them all with Allmond.app and structured the results. We looked at the Sources – the Citations sections that shows which URLs an LLM used to deliver an answer to a prompt. The findings have been fascinating. Let me just share this screenshot:

One of the main conclusion of the research has been around Listicles and their impressive % in the overall Citation sources structure. I couldn’t believe that 50% of the sources are actually listicles – mostly blog articles with lists of software tools like

“Top X %industry% software in 2026”
“Best X %industry% tools in 2026”
“X alternatives to %competitor software% in 2026”
etc.

But let me explain all our findings step by step.
First, let’s take a look at the:

Share of All SaaS Citations by LLM.

Gemini dominates citation volume with nearly half of all citations in our dataset, followed by Perplexity at 33%. Claude and ChatGPT produce significantly fewer citations per query.

What this means for SaaS:

For SaaS companies, this means visibility in AI answers doesn’t work the same across models. Some models rely heavily on external sources when generating responses, while others answer more often from internal knowledge.

As a result, being cited across the web becomes much more important for models like Gemini and Perplexity, where citations directly shape which brands appear in answers. With models that cite less frequently, brand presence in training data and widely referenced sources becomes more important.

However, it doesn’t mean online content isn’t imporatnt for LLMs that rely less on web search and more on internal knowledge base. For SaaS companies, appearing in widely referenced web sources is still critical. Much of the knowledge LLMs learn about software tools originates from publicly available web content (blog posts, comparison pages, and listicles).

When brands are consistently mentioned in these sources, they are more likely to appear in the datasets used to train future models. As a result, they become more likely to surface in AI-generated answers.

How Much Each LLM Relies on Listicles for SaaS Citations?

Claude relies on listicles for over 70% of its citations — far more than any other model. Even the least listicle-dependent model (Gemini) still pulls 40% from listicles.

What this means for SaaS:

Getting featured on listicle pages (“best X tools”, “top Y software”) is the single most impactful thing you can do for AI visibility of your SaaS. It’s the primary citation source across all LLMs.

Share of SaaS Citations Coming From Blog Pages

30–45% of citations come from blog pages across all models. Gemini and Claude lead, while ChatGPT is lowest at 30.6%.

What this means for SaaS:

Blog content is a major citation source. Publishing in-depth comparison posts and category reviews on your blog (or getting featured on others’ blogs) directly increases your chances of being cited by AI.

Citation Volume by LLM

Gemini produces 13x more citations than ChatGPT per query. This gap is largely explained by how each model handles web search: ChatGPT only produces citations when it triggers a web search — if it answers from training data, the response contains zero citation URLs, even if it mentions your brand. Perplexity, by contrast, always searches and cites on top of using internal knowledge base.

Which LLMs Cite Wikipedia When Answering High-Intent SaaS Prompts

Wikipedia is almost irrelevant for high-intent SaaS queries. Only ChatGPT cites it meaningfully (53 citations), and Claude and Perplexity ignore it entirely.

What this means for SaaS:

For high-intent SaaS queries, having a Wikipedia page won’t move the needle. LLMs prefer specialized, up-to-date content over encyclopedic entries when answering software buying questions. Wikipedia may still matter for brand awareness or informational queries — but not for purchase-intent prompts when choosing a software provider.

Which LLMs Cite YouTube When Answering High-Intent SaaS Prompts

YouTube citations are rare overall. Perplexity is the only model that cites YouTube with any consistency (64 citations). Claude and ChatGPT ignore it completely.

What this means for SaaS:

YouTube content is not a primary driver for AI citations today (again, we are talking about high-intent SaaS prompts). However, Perplexity’s usage suggests video may become more relevant. Don’t prioritize it for AI visibility — but don’t abandon it either.

Nearly Half of AI Citations for SaaS Queries Come from Listicles

Across all queries and all models combined, nearly half of every citation points to a listicle page. This is the single dominant content format in AI-generated answers.

What this means for SaaS:

If your product isn’t appearing on listicle pages, you’re invisible to almost half the AI citation pipeline. Prioritize listicle placements — through outreach, guest posts, or creating your own. Check out my LinkedIn post on how to get featured on top-ranking SaaS listicles, it should help a lot.

Where AI Models Pull Their SaaS Citations From

Not to get our readers confused we’ve broken down the Citations formats:

First, into

1. listicles and

2. non-listicles (other) and

Second, into

1. Blogs/resource pages

2. YouTube

3. Wikipedia,

4. Forums (Reddit, Quora and community platforms.) and

5. Other.

Our research shows that Blog/Resources are the most common sources of LLM citationts while YouTube, Wikipedia, and forums are marginal.

What this means for SaaS:

Are you still wondering whether or not you should invest in your blog? How about this – blog posts account for more than 42% of the LLM sources. Forums and community content are nearly invisible to LLMs despite often containing genuine user insights. So unless for your SaaS niche specifically Reddit is a big thing, I wouldn’t advise to bet on this channel for your AI visibility despite all the “Reddit is on the rise” rumours.

But wait, here comes my favorite – ‘Alternatives’ prompts.

70% of AI Citations for ‘Alternatives’ Queries Come from Listicles

For “alternatives to X” queries, listicle dominance jumps to 70% — the highest of any query type. These queries are inherently list-shaped, and LLMs reflect that.

What this means for SaaS:

If competitors’ users are searching for alternatives, you MUST appear on listicle pages to capture that demand. This is the highest-ROI content format for competitive positioning in AI answers.

Where AI Models Pull Citations From for ‘Alternatives’ Queries

Now let’s look at each LLM and see which sources it relies on.

Claude Sources 71.5% of Citations from Listicles

Claude is the most listicle-dependent model at 71.5%. Nearly three out of four Claude citations come from listicle pages.

What this means for SaaS:

Claude users get overwhelmingly listicle-sourced answers. If your product is on the right listicles, Claude will cite you. If not, you’re essentially invisible to Claude’s audience.

Where Claude Pulls Citations From for SaaS Brands

Claude cites zero YouTube, Wikipedia, or forum sources but relies heavily on blog articles.

55% of Perplexity Citations Come from Listicles

Perplexity cites listicles 55% of the time — second only to Claude. As a search-first product, Perplexity pulls from a wider range of sources but still leans heavily on listicles.

What this means for SaaS:

Perplexity combines search behavior with AI — its users are actively looking for answers. Being on listicles that rank well traditionally also increases your Perplexity visibility.

Where Perplexity Pulls Citations From for SaaS Brands

Perplexity is the only model that cites YouTube with any regularity (64 citations) and has the strongest blog/resource citation rate after Gemini.

40.5% of Gemini Citations Come From Listicles for SaaS Brands

Gemini has the lowest listicle reliance at 40.5% but produces the most citations overall. It draws from a more diverse set of sources than other models.

What this means for SaaS:

Gemini rewards diverse content strategies. While listicles still matter, having strong blog content, documentation, and web presence gives you more pathways into Gemini’s citations.

Where Gemini Pulls Citations From for SaaS Brands

Gemini leads in blog citations (44.9%) and is the only model besides ChatGPT to cite Wikipedia. Its source diversity makes it the most accessible model for multi-format content strategies.

44% of ChatGPT Citations Come From Listicles for SaaS Brands

ChatGPT cites listicles 44% of the time — middle of the pack. However, it produces far fewer citations overall (402 total), making each citation placement more competitive.

What this means for SaaS:

ChatGPT has the smallest citation footprint but the largest user base. Every citation slot is high-value.

Where ChatGPT Pulls Citations From for SaaS Brands

ChatGPT is the only model that meaningfully cites Wikipedia (53 citations, 13.2%). It also cites forums more than other models, suggesting it values diverse, community-sourced information.

Summary

Listicle vs Non-Listicle Citations Across All LLMs

Listicles dominate across every model — Claude relies on them most (71.5%), while Gemini is the least dependent (40.5%). No matter the LLM, getting featured on listicle pages is the single most impactful way to earn citations.

Blog / Resources Citations % Across LLMs

Blog and resource pages are the largest citation source. Gemini leads with 2,347 blog citations (44.9% of its total), while ChatGPT pulls the fewest at just 123. Consistent, high-quality blog content pays off — especially for Gemini and Perplexity visibility.

YouTube Citations Across LLMs

YouTube is almost invisible as a citation source — only 77 citations total (0.7%). Perplexity is the only model that meaningfully surfaces YouTube content. For SaaS companies, video alone won’t drive AI visibility.

Forum Citations (Reddit, Quora & Community Platforms) Across All LLMs

Forum content (Reddit, Quora, etc.) accounts for just 33 citations across all models (0.3%). Despite being rich in authentic user opinions, community platforms are nearly invisible to LLMs when generating SaaS recommendations.

Key Takeaways for SaaS Companies

1. Listicles are the #1 citation source across every LLM.

40–72% of citations come from listicle pages. If you’re not on listicles, you’re not in AI answers. Invest in listicle placements — create them, pitch them, sponsor them.

2. Blog content is the most important channel.

30–45% of citations come from blog pages. Publish detailed comparison posts and category overviews that position your product alongside competitors.

3. Traditional SEO sources (Wikipedia, YouTube, forums) barely matter.

These sources account for less than 2% of citations combined. Don’t rely too much on them for AI visibility.

4. Different models need different strategies.

Claude is almost entirely listicle-driven. Gemini rewards diverse content. Perplexity bridges search and AI. ChatGPT has few but high-value citation slots.

5. “Alternatives” queries are the highest-leverage opportunity.

70% of “alternatives to X” citations come from listicles. If competitors’ users are exploring options, you need to be on those pages.

Looking to get your SaaS into listicles?

Book a call and let’s discuss how to get your product cited by AI models.

The post A Study of 10,000 LLM Citations: Where AI Pulls Data From (SaaS High-Intent Prompts) appeared first on Quoleady.

Honestly, I get annoyed every time I see “RIP SEO, welcome AEO/GEO/LLMO.” I’m hearing the same thing on sales calls too:

“We’re going to stop all our SEO activities and focus only on LLM visibility.”

Everyone is confused. I understand. But let’s not forget a few simple facts.

1. Traffic from LLMs is still only a fraction of overall acquisition. In one study of 20 SaaS companies, organic search drove 38% of traffic, while AI sources accounted for just 0.3%. Read that again: zero. point. three.
   
2. You want to show up in LLM answers. I want to show up there too. Everyone does. But burying SEO isn’t the way to get there. If anything, it’s the opposite. Without a solid SEO foundation, appearing in AI answers is close to impossible.

This huge demand for AI SEO services has led to an explosion of “experts” online. Suddenly, there are hundreds, maybe thousands, of GEO gurus, AEO pros, and LLMO advocates.

Everyone seems to have a custom approach, a unique framework, and “vast” expertise.

So I decided to sit down, review the agencies that actually get the job done, and help confused SaaS founders and marketers separate the wheat from the chaff.

But first, let’s start with the basics.

What is an AI SEO agency?

An AI SEO agency helps your brand show up in AI-generated answers while continuing to build strong organic visibility in Google.

At its core, it’s still SEO.

You still need:

• Clear site structure with page optimization
• High-quality, intent-driven content
• Relevant authority and mentions
• Technical foundations

What’s changing is how that work is shaped. Agencies need to think about how AI tools interpret content, which sources they rely on, and how SaaS brands are referenced across the web.

Instead of replacing SEO, we should focus on evolving it.

How is an AI SEO agency different from a traditional SEO agency?

Traditional SEO agencies focus on keyword research, organic traffic growth, backlinks and domain authority, and a few technical fixes. All of that still plays an important role.

But AI-focused agencies go further in how they think about visibility inside AI answers. They look at:

• How AI models summarize your category
• Which pages influence LLM recommendations
• How your brand is described across different sources
• Whether your product is consistently included in content LLMs cite

AI recommendations aren’t always easy to explain. But a good agency should be able to show the signals that influence them and what they’re doing to improve your position.

How is an AI SEO agency different from content or link-building agencies?

Content agencies are usually measured by output. How many articles were published. How much traffic grew. Link-building agencies are measured by placements. How many links were secured. What the domain ratings look like.

An AI SEO agency is measured differently.
The main question is: does your brand show up in AI answers or not?

That changes how the work is approached.

Instead of counting blog posts or backlinks, the focus shifts to a different question:

Does your brand actually show up in AI answers?

From there, the conversation becomes more practical:

• Are we present in the comparison pages people actually read?
• Are reputable sites mentioning us alongside competitors?
• Is our positioning clear and consistent everywhere?
• Do we appear in the same places as the category leaders?

AI SEO agencies still create content and build links but they don’t treat them as the end result.

What really matters is this: when someone asks AI about your category, does your product show up in the answer or not?

Why do SaaS companies need an AI SEO agency?

SaaS buying journeys are research-heavy and comparison-driven. Most B2B SaaS users are tech-savvy folks using LLMs on a daily basis to look for information. 

So they go to ChatGPT or other AI assistants to look for:

• “Best alternatives to X”
• “Top tools for Y use case”
• “Is X or Y better for B2B SaaS?”

AI tools now summarize these comparisons in a single response.

If your product isn’t included in that response, you miss a high-intent moment. For B2B and product-led SaaS companies, those moments often drive pipeline.

Many SaaS brands don’t have an AI SEO expert in-house. So they need agencies that understand how AI tools surface recommendations, alongside traditional traffic growth strategies.

How to tell if an agency can actually get you into AI answers

Anyone can say they offer AI SEO services. The real difference shows up in how they work and what they measure.

Here’s what to look for.

1. They understand how listicles influence AI answers

AI tools frequently pull answers from “best tools,” alternatives, and comparison-style content when forming recommendations.

A strong AI SEO agency will:

• Create high-quality list-style content strategically
• Work to get your brand featured in authoritative roundups
• Make sure your brand mentions appear on sites people and AI actually trust

Getting into relevant authoritative listicles helps your brand appear alongside the right tools in your category and as a result show up in AI answers.

2. They track prompts (on top of keywords)

Ranking #1 for a keyword doesn’t automatically mean your brand appears when someone asks an AI tool a related question. Although it does help a lot. According to a recent study by Ahrefs shows that 76% of AI Overview answers are pulled from URLs that rank Google top-10. 

AI SEO agencies:

• Focus on high-intent prompts like “best [category] tools” or “[product] alternatives”
• Check how AI tools respond to those prompts
• Track whether and how your brand is mentioned

AI answers are very dynamic. You can see one thing now and something slightly different in a minute. But if you track the same prompts over time, you start to notice which brands appear again and again. According to a recent study by Rand Fishkin, the SaaS industry shows relatively high consistency in AI answers. In his research, the same brands appeared in about 70–85% of responses within the SaaS niche.

3. AI SEO agencies work on brand mentions across trusted sources

Backlinks still matter. And as AI becomes a bigger part of search, brand mentions matter too, even when there’s no link.

AI systems often rely on:

• Recognized industry publications
• Review sites
• Comparison pages
• Repeated brand references in relevant contexts

That’s why these mentions matter. They affect which brands keep appearing in recommendations. A big part of the work of an AI SEO agency is helping your brand show up in the sources AI systems tend to rely on.

4. They structure content for AI interpretation

Search intent answered immediately, clean structure, clear headings, concise explanations, and strong internal linking all make it easier for AI tools to interpret your content.

AI SEO agencies work on:

• Logical page hierarchy
• Clear definitions and positioning
• Focused sections that directly address comparison search queries

It’s still great content for humans (not AI first). At the same time it’s organized in a way that’s easier for AI systems to understand and reference.

5. They specialize in SaaS

SaaS is different from e-commerce or local SEO.

Agencies should understand:

• Free trials and freemium models
• Integrations and ecosystems
• Feature-led comparisons
• Alternative and competitor-driven intent

AI answers reflect real buying behavior. If an agency doesn’t understand SaaS buying psychology, their strategy won’t align with how recommendations are formed.

6. They can show proof of AI visibility

This is quite simple. They should be able to show examples of the client brands mentioned in LLM responses (ChatGPT, Perplexity, Gemini, etc.). Examples showing that the brand they’ve worked with started appearing more frequently in AI answers would be also a great sign. 

7. They combine content, authority, and technical structure

AI visibility is usually the outcome of several things working together: relevant content, trusted mentions, and a solid site structure.

When each of these is handled separately, results tend to be inconsistent. Agencies that look at the full picture tend to do better.

How we selected the agencies for this list

I didn’t compile this list casually.

There are plenty of agencies now claiming to do AI search optimization. On LinkedIn, it feels like everyone suddenly became an AI SEO, GEO, AEO, or LLMO expert. But the group that actually understands how to build visibility for SaaS brands inside AI answers is still quite small.

Here’s how we evaluated them.

1. SaaS specialization: SaaS SEO is its own discipline. We prioritized agencies that work primarily with B2B SaaS and product-led companies, rather than generalist firms splitting focus across unrelated industries.
2. AI visibility expertise (AEO, GEO, LLMO): Each agency demonstrates a working understanding of how AI tools generate answers, how list-style and comparison content influences recommendations, and how brand mentions and authority shape visibility. We looked for practical applications.
3. Case studies: We looked for real examples of brands appearing in AI-generated answers, before-and-after improvements in visibility, and documented results tied to SaaS growth.
4. Authority-building approach: AI visibility is closely tied to authority. We evaluated whether agencies actively secured placements in relevant listicles and roundups, strengthened brand mentions across trusted publications, and built contextual, high-quality links. 
5. Thought leadership in AI SEO: The agencies shaping this space tend to share what they’re learning. We looked at whether they publish frameworks, insights, and original thinking around AI SEO. The strongest teams are actively refining their approach as SEO is evolving.
6. Ability to execute across the full stack: Finally, we assessed whether each agency can combine strategic content creation, authority and brand reinforcement, and technical and structural optimization. AI SEO works best when those areas are aligned. 

Top 10 Agencies Helping SaaS Brands Show Up in AI Answers

1. Quoleady

Overview

Quoleady is a B2B SaaS SEO and AI visibility agency that helps software companies grow through organic search, digital PR, and expert-driven content marketing. The company works with both startups and enterprise software brands. Quoleady helps clients improve visibility in Google and AI search, create research-backed content, build authority in their category, and drive qualified pipeline and revenue growth.

They work primarily with product-led and B2B SaaS teams that rely on organic search as a core growth channel.

Why this agency is relevant for AI SEO

Quoleady builds strategies around helping clients appear in AI answers, while continuing to grow performance in traditional Google search.

Their approach is grounded in classic SEO, but adapted to how AI tools summarize, compare, and recommend SaaS products.

What they do that affects AI visibility

• Develop content strategy and positioning to get clients brands into AI answers
• Create BOFU comparison and alternatives content aligned with real SaaS buying queries (blog articles and landing pages)
• Get SaaS clients into relevant industry listicles via their Listicle Manager tool
• Produce high-quality deep-research content that gets cited by LLMs
• Monitor AI visibility for clients to check whether clients brands are being referenced

Strengths

• Deep 6+ years of specialization in B2B SaaS
• AI visibility frameworks tailored to each client’s stage and niche
• Proven results: clients appearing in top AI answers, with public case studies
• A combined approach to content, authority, backlinks, brand mentions, and technical SEO

Limitations

• Boutique team with selective client capacity
• Focused primarily on SEO and content strategy rather than full-funnel paid or performance marketing

Best for

B2B SaaS companies that want to grow both traditional organic traffic and visibility inside AI-generated answers.

Not ideal for

Companies looking for a full-service marketing agency covering paid media, branding, and outbound.

Key services

• AI & SaaS LLM search optimization
• SaaS SEO (content + technical)
• SaaS content strategy & production
• Digital PR & link building
• Content refresh & optimization

Example clients / results

• Featured in AI Overviews for thousands of keywords (e.g., OneFlow with 7,000+ placements)
• Increased organic clicks and conversions for multiple SaaS clients
• Read their LLMO case study showing how they helped Legal Nodes drive a 47.5% increase in booked meetings and secure top 5 answer placements within three months

If you want to explore how your SaaS brand can increase both organic growth and AI answer visibility, book a strategy call with Quoleady.

2. Graphite

Overview

Graphite is a B2B SaaS SEO agency known for its editorial depth and focus on building topical authority in competitive categories. They typically work with growth-stage and enterprise SaaS companies that need to compete in crowded markets.

Why this agency is relevant for AI SEO

Graphite doesn’t position itself purely as an AI SEO agency. However, their emphasis on high-quality, authoritative content aligns well with how AI tools evaluate and reference brands.

Strong editorial standards and deep topic coverage increase the likelihood that a brand becomes a recognized authority in its category.

What they do that affects AI visibility

• Build topic clusters that strengthen semantic coverage
• Develop in-depth, research-backed content
• Focus on authority signals across competitive SaaS verticals
• Align content with real buyer journeys and comparison intent

Strengths

• Exceptional editorial quality
• Clear understanding of complex SaaS products
• Strong strategic thinking around topical authority

Limitations

• Quality-first approach can mean slower scaling
• Less emphasis on rapid experimentation

Best for

Mid-market and enterprise SaaS companies operating in competitive niches.

Not ideal for

Early-stage startups looking for fast content output or short-term experimentation.

Key services

• SaaS organic SEO strategy
• Editorial content and authority development
• Technical SEO and performance monitoring
• Topic authority and semantic mapping

Example clients / results

They’ve worked with companies like Notion, Webflow, and Hinge Health, delivering significant growth in organic traffic and search visibility.

3. Omnius

Overview

Omnius is a B2B SEO and Generative Engine Optimization agency working mainly with SaaS and fintech brands. They combine traditional SEO strategy with specific processes aimed at improving how brands are surfaced in AI-driven search tools.

Why this agency is relevant for AI SEO

Omnius openly integrates traditional SEO with strategies designed for how AI tools discover and cite content. Their positioning centers on helping brands strengthen visibility across both search engines and generative AI platforms.

What they do that affects AI visibility

• Content scoring and rewrites tailored for AI interpretation
• Schema and technical optimization that support AI crawlers
• AI search tracking and monitoring
• Content clustering aligned with semantic intent

Strengths

• Strong blend of technical SEO, content, and AI-focused practices
• Documented results across organic and AI-driven visibility

Limitations

• Focused mainly on SaaS and fintech
• Works best with brands that already have a solid SEO foundation

Best for

B2B SaaS and fintech companies ready to invest in both SEO growth and AI visibility.

Not ideal for

Companies with minimal content or no existing SEO baseline.

Key services

• Generative Engine Optimization (GEO)
• AI and LLM-focused SEO
• Content clustering and semantic strategy
• Technical SEO and answer optimization
• Analytics and reporting

Example clients / results

Case studies include large-scale growth, such as scaling from 0 to 2.7M clicks in 13 months and achieving 110% growth in six months for select clients.

4. Position Digital

Overview

Position Digital is an AI SEO agency that helps B2B SaaS startups get more qualified leads from organic and AI search. The agency sits at the intersection of traditional SEO and generative engine optimization (GEO), treating both as inseparable disciplines rather than competing strategies.

Why this agency is relevant for AI SEO

The agency combines on-page optimization to make it easy for AI systems to cite your content, and off-site brand building to make sure LLMs can recognize, trust, and recommend your software.

What they do that affects AI visibility

• Technical GEO audit to improve LLM crawability
• Regular content refreshes and optimization
• Entity optimization and brand positioning
• Securing placements in listicles that AI models already cite

Strengths

• Small, agile team that moves quickly and executes efficiently
• Deep understanding of the B2B SaaS landscape
• Proprietary listicle outreach tool called ListBrew

Limitations

• Fully focused on SEO and GEO rather than full-packaged digital marketing services 

Best for

B2B SaaS and tech startups that want to build a strong SEO foundation while also optimizing for AI search.

Not ideal for

Large organizations with multi-layer stakeholder alignment and slower implementation cycles.

Key services

• SaaS SEO strategy and technical audits
• AI search optimization
• Content marketing
• Link building and digital PR

Example clients / results

Their AI SEO results include a 435% increase in LLM citations for Decentriq (data collaboration platform) in 10 months, and growing AI citations from zero to 37 alongside an 80% YoY increase in free trial signups for HR Datahub (salary benchmarking tool).

5. Rank4AI

Overview

Rank4AI is a UK based AI search agency focused on improving visibility and recommendation likelihood across ChatGPT, Claude, Gemini, Perplexity, Copilot, Google AI Overviews and Google AI. Founded by Adam Parker, the agency does not run traditional SEO retainers or PPC campaigns. This work is variously described as AI SEO, GEO or AIO.

Why this agency is relevant for AI SEO

The agency focuses on how AI systems interpret, validate, and recommend brands — not just keyword rankings. Its methodology is built specifically around how platforms like ChatGPT, Copilot, Google AI Overviews, and Gemini evaluate entities and decide which businesses to mention.

What they do that affects AI visibility

• AI search audits across platforms
• Entity clarity and positioning assessment
• External ecosystem signal mapping
• Content structuring for AI extraction
• Long-term trust and authority signals

Strengths

• Founded by fintech strategy expert
• Five-signal AI evaluation model
• Hands-on implementation, not recommendations
• Education-first, transparent methodology approach
• Research across major AI platforms

Limitations

• Newer agency, but founder-led AI research with hands-on methodology across major platforms
• Smaller team, limited scale capacity, better suited for focused high-quality engagements

Best for

Businesses looking to improve how they are understood, trusted, and recommended by AI systems, especially those impacted by AI-generated recommendations or facing increasing competition in AI search results.

Not ideal for

Companies seeking full service digital marketing including traditional SEO, PPC or social media management. The focus is AI search visibility specifically.

Key services

• AI Search Audits
• Entity and Signal Alignment
• Content Structuring for AI
• External Validation and Citations
• Recommendation Readiness

Example clients / results

Ongoing research and content across LinkedIn, Medium, Substack, YouTube and podcast platforms focused on AI search visibility, entity engineering and the practical mechanics of how AI systems evaluate and recommend businesses.

6. Simple Tiger

Overview

SimpleTiger is a SaaS-focused SEO agency that blends AI-assisted workflows with traditional SEO strategy. They’ve been active in the SaaS space for years and position themselves as an AI-aligned SEO partner.

Why this agency is relevant for AI SEO

SimpleTiger incorporates AI tools into research, competitive analysis, and performance tracking, while still grounding strategy in core SEO principles.

What they do that affects AI visibility

• AI-assisted keyword research and competitive insights
• Content and technical SEO aligned with AI search trends
• Ongoing on-page optimization based on performance data

Strengths

• Clear SaaS specialization
• Integrated use of AI tools within their workflow
• Experience across a range of SaaS growth stages

Limitations

• Broader SEO focus rather than highly specialized AI answer placement tactics

Best for

SaaS companies looking for an SEO strategy that reflects both traditional search and AI-driven research behavior.

Not ideal for

Brands looking exclusively for niche AI answer optimization services.

Key services

• SaaS organic SEO
• Technical optimization and content marketing
• Link building
• AI-assisted research and strategy
• Optional paid search integration

Example clients / results

They report strong organic growth case studies, including adding 20K users in five months and 70K users in 12 months for SaaS clients.

Read about LLMs vs SEO: What’s Changing in Search Discovery

7. MADX

Overview

MADX is a SaaS-focused SEO agency known for selective client partnerships and strong authority-building strategies. They focus on tailor-made SEO strategies rather than standardized packages.

Why this agency is relevant for AI SEO

Their emphasis on authority, backlinks, and strategic content promotion strengthens overall discoverability, which plays a role in how brands are referenced across search and AI-driven environments.

What they do that affects AI visibility

• High-authority link acquisition
• Content promotion and outreach
• SEO strategies that improve relevance across competitive categories

Strengths

• Strong backlink quality
• Focused attention on a smaller number of clients
• Clear growth-stage SaaS experience 

Limitations

• Less explicit focus on AI-specific tracking or AI answer monitoring 

Best for

Growth-stage SaaS companies looking to strengthen authority and search visibility. 

Not ideal for

Startups seeking heavy experimentation around AI answer inclusion.

Key services

• Link building
• SEO strategy
• Content promotion
• Targeted outreach

Example clients / results

Examples include Thunes achieving #1 rankings, Gleemo gaining 140+ rankings, and UPSTIX growing from 0 to 8K qualified traffic.

8. Rock the Rankings

Overview

Rock The Rankings focuses on SaaS SEO and generative search visibility, with a strong emphasis on revenue impact. Their positioning ties SEO performance closely to pipeline and conversions.

Why this agency is relevant for AI SEO

They integrate AI search considerations directly into SaaS SEO strategy and connect that visibility to demos, SQLs, and revenue outcomes. 

What they do that affects AI visibility

• Structure content to improve clarity and extractability
• Monitor AI visibility across tools including ChatGPT and Perplexity AI
• Combine SEO with outreach and authority-building 

Strengths

• Revenue-first mindset
• Hands-on founder involvement
• Strong SaaS focus

Limitations

• Narrow focus on organic and AI search rather than full-stack marketing

Best for

SaaS companies that care deeply about pipeline and measurable outcomes from SEO.

Not ideal for

Brands seeking broad paid media, branding, or multi-channel campaigns.

Key services

• SaaS SEO and AI search strategy
• Revenue-focused content creation
• Outreach, link, and mention building
• Technical SEO and analytics

Example clients / results

They’ve supported companies like Toast and Bizzabo with strong traffic and conversion growth.

You might find this interesting: Top 9 Generative Engine Optimization (GEO) Agencies of 2026

9. First Page Sage

Overview

First Page Sage is an established U.S.-based SEO firm with a long track record in content-driven organic growth. They focus heavily on thought leadership and technical SEO.

Why this agency is relevant for AI SEO

Their work on topical authority and structured, high-quality content supports broader discoverability, which increasingly influences how AI search platforms evaluate trusted sources.

What they do that affects AI visibility

• In-depth SEO and technical audits
• Thought leadership content aligned with buyer intent
• Conversion optimization layered onto organic growth

Strengths

• Decades of SEO experience
• Strong lead generation focus
• Enterprise-level process

Limitations

• More traditional SEO positioning
• Less specialized around AI engines answer tracking

Best for

Enterprise and mature SaaS business with complex content and lead generation goals.

Not ideal for

Smaller startups looking for niche AI-focused experimentation.

Key services

• SEO strategy and consulting
• Thought leadership content
• Technical SEO and CRO
  Lead generation systems

Example clients / results

They’ve worked with companies such as Cadence and other technology firms in competitive markets.

10. WebFX

Overview

WebFX is a large full-service digital marketing agency with decades of SEO experience. They combine proprietary technology with traditional SEO and emerging generative search tracking.

Why this agency is relevant for AI SEO

WebFX has incorporated Generative Engine Optimization into its broader SEO offering, helping brands track and improve visibility across both classic search engines and AI-driven query environments.

What they do that affects AI visibility

• AI search visibility tracking across tools including ChatGPT and Microsoft Copilot
• Integrated SEO strategy that considers generative search
• Data-driven reporting supported by proprietary platforms

Strengths

• Large-scale infrastructure and resources
• Cross-channel expertise
• Proprietary tracking systems

Limitations

• Broad client base across industries
• Less specialized in niche SaaS compared to boutique agencies

Best for

Companies looking for full digital marketing support with SEO and AI search optimization readiness included.

Not ideal for

Brands that want a highly specialized SaaS-only SEO partner.

Key services

• On-page, off-page, and technical SEO
• Generative search optimization
• PPC and paid media
• Analytics and AI-powered insights

Example clients / results

They report over 12,000 leads influenced by AI-driven sources and offer internal dashboards for tracking LLM visibility.

Dig deeper into LLM SEO: Guide to ranking in AI powered search results

Comparison table of all 8 AI SEO agencies

How to choose the right AI SEO agency for your SaaS business?

If you’re at the stage of evaluating agencies, you already know search behavior is changing fast.

The real challenge now is figuring out which teams have actually adapted their strategy and which ones have simply updated their landing page copy.

Here’s how I’d approach it if I were hiring an agency for a SaaS company today.

Questions to ask on a sales call

Don’t get distracted by acronyms or polished slides. Ask direct questions that reveal how they think.

1. “How do you help SaaS brands appear in AI answers?”

Mention platforms like ChatGPT or Perplexity AI and see how they respond.

You’re listening for a clear explanation of:

• Comparison and alternatives content strategy
• Brand mentions across trusted sites
• Structured, scannable content
• How they test and monitor AI outputs

If the answer stays abstract or goes straight back to generic “great content and links,” they probably haven’t adjusted their approach.

2. “How do you track AI visibility?”

You should hear about:

• Prompt tracking
• Manual testing across AI tools
• Monitoring how often your brand is included in answers
• Some form of LLM visibility reporting

If the only tools mentioned are Google Search Console and keyword rank trackers, AI visibility likely isn’t part of the core strategy.

3. “What types of content influence AI recommendations?”

Strong agencies will talk about:

• “Best tools” pages
• Alternatives and competitor comparisons
• Use-case-driven content
• Clear category positioning

They’ll explain how SaaS buyers research and how that research shows up in AI-generated summaries.

4. “Can you show examples of brands you’ve helped appear in AI answers?”

This question filters out most agencies.

They should be able to show:

• Screenshots
• Real prompts
• Before-and-after examples

If they can’t demonstrate this for themselves or clients, they’re still experimenting.

Red flags to watch for

Some warning signs are subtle. Others are obvious.

• They guarantee AI answer placements: No agency controls AI outputs. Anyone promising guaranteed inclusion doesn’t understand how these systems work.
• They don’t specialize in SaaS: SaaS buying journeys are comparison-heavy and research-driven. Generic SEO frameworks often miss that nuance.
• They dismiss AI search as hype: That usually means they haven’t tested it seriously or updated their processes.

What proof you should request

Before signing anything, ask for tangible evidence.

• Screenshots or live demos of AI answers featuring client brands
• Case studies focused on visibility and positioning, alongside organic traffic
• Examples of comparison or list-style content they’ve influenced
• A clear explanation of how content, authority, and technical structure support each other

If an agency can’t show real proof, you’re likely funding their learning curve.

FAQ: AI SEO for SaaS

1. What is AI SEO?

AI SEO is the practice of strengthening your brand’s visibility inside AI-generated answers from tools like ChatGPT, Perplexity AI, and Google Gemini, while continuing to build strong organic search performance.

It builds on traditional SEO. The difference is that it also considers how AI systems summarize, compare, and recommend products.

2. What is AEO vs GEO vs SEO?

• SEO focuses on improving visibility in traditional search engines like Google Search.
• AEO (Answer Engine Optimization) focuses on improving how your content appears in direct answers and summaries.
• GEO (Generative Engine Optimization) focuses on influencing how AI models generate responses and recommendations.

There’s overlap between all three. For SaaS companies, they now work together rather than separately.

3. Do backlinks still matter?

Yes. Backlinks continue to support authority and trust. What’s changed is that broader brand recognition across trusted, relevant sources plays a bigger role in how AI systems interpret your position in a category.

Authority is built through consistent signals, not just link volume.

4. How long does it take to appear in AI answers?

There’s no fixed timeline.

Brands with strong existing authority may start appearing within a few months. In competitive categories, it can take longer. The key is consistency across content strategy, mentions, and technical clarity.

This is a long-term visibility investment, not a quick tactic.

5. Can a traditional SEO agency do this?

Some can.

The ones that succeed are those that have expanded their strategy to include prompt tracking, comparison-driven content, and broader brand positioning. Agencies that rely purely on keyword research or ranking and backlink volume will struggle to influence AI-driven recommendations.

Final thoughts

AI visibility is becoming a core part of how SaaS brands are discovered.

These days, many buyers ask AI tools for recommendations before they even open a website.

Strong SEO fundamentals still matter. Technical structure, authority, and intent-driven content remain the foundation. The difference in 2026 is that agencies also need to think about how brands are represented inside AI-generated answers.

If you’re investing in SEO, make sure the strategy reflects how SaaS buyers actually research today.

If you’d like to explore how this applies to your company, you can book a call with Quoleady and discuss your current visibility across both search engines and AI platforms.

The post 10 Best AI SEO Agencies For SaaS Companies in 2026 appeared first on Quoleady.

• LLM visibility is the new layer of search. If you’re not mentioned in AI answers, competitors win that attention first.
• In AI search, mentions and citations matter more than rankings, and brands can influence decisions without getting clicks.
• The best AI visibility tools track mentions, sentiment, citations, and competitors across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews.
• Allmond offers the best mix of real AI scanning, fast setup, and affordable pricing, while Peec AI, Profound, Scrunch, and Otterly AI each fit specific needs.
• Use visibility insights to act: fix gaps, improve authority signals, and monitor competitor presence continuously.

Introduction to LLM Visibility: How Brands Appear in AI Answers

Remember when SEO alone was enough to secure online visibility? When ranking on Google meant your audience would naturally find you?

That era is quietly coming to an end. Today, customers aren’t just searching. They’re asking AI tools like ChatGPT, Claude, and Perplexity for answers, recommendations, and buying advice.

That’s why AI visibility tools have become essential. They help you understand how AI models describe and interpret your content and what you can do to improve your positioning.

In this article, we break down the top 15 LLM visibility tools in 2026. You’ll also learn how they help you stay visible in an AI-first world.

What Is LLM Visibility and Why Is It Important for Brands?

LLM visibility means how a brand appears in AI-generated answers and AI-powered search results like ChatGPT, Google AI Overviews, Google AI Mode, and Meta AI. 

Instead of competing only for search rankings, brands now compete to be included directly in AI responses that users see first.

LLM exposure goes beyond simple mentions. It includes how often a brand shows, how it’s described, and how it compares to competitors.

Without visibility into AI replies, brands risk being overlooked, misrepresented, or replaced by competitors.

What Are LLM Visibility Tools?

LLM visibility tools are platforms that help you measure, monitor, and improve how your brand shows in AI-generated answers and AI-powered search results. 

Instead of tracking rankings in traditional search engines, LLM tracking tools focus on whether – and how – large language models (LLMs) reference, describe, or recommend a brand across AI interfaces. 

In practice, the best AI visibility tools can help you:

• Track brand mentions in AI-generated answers
• Analyze sentiment and tone in AI replies
• Monitor visibility across platforms and prompts
• Compare AI mentions against competitors
• Identify gaps and optimization opportunities for AI search

Together, these insights reveal visibility gaps, explain why brands appear or disappear, and guide optimization for AI tools.

How LLMs Decide Which Brands to Mention?

LLMs decide which brands to mention by evaluating relevance, authority, and contextual fit when generating an answer. Rather than ranking brands, they aim to produce the most useful and credible response to a user’s prompt.

Content quality matters more than ever. Because LLMs synthesize information instead of ranking pages, clear, accurate, and consistent brand representation across trusted sources strongly influences whether a brand is included and how it is described.

Key factors influencing brand mentions include:

• Content relevance and clarity around specific topics or use cases
• Topical authority built through consistent coverage across trusted sources
• Entity associations that clearly link a brand to products, categories, or problems
• Source credibility and presence on authoritative websites
• Sentiment and reputation, reflected in neutral or positive brand references.

LLMs don’t intentionally select brands. They reflect patterns in the data and sources they rely on. As a result, consistent, high-quality brand representation strongly influences whether a brand shows and how it is described in AI search results.

LLM Visibility Tools, GEO and Traditional SEO: What’s the Difference?

Traditional SEO, GEO, and LLM visibility create brand exposure in different ways. Understanding this difference is essential as AI-driven discovery grows. 

SEO focuses on rankings and clicks, measuring success through traffic and SERP position. In contrast, AI-generated answers replace rankings with mentions. 

Brands gain visibility by being cited or referenced directly within AI replies, often without links or website visits.

This shift introduces zero-click exposure, where AI answers influence awareness, trust, and decisions before users ever reach a site. As a result, traffic alone no longer reflects true visibility or impact.

Generative Engine Optimization (GEO) defines how brands should adapt content, entities, and positioning so AI systems understand and select them. Best AI visibility tools then measure the outcome by tracking mentions, sentiment, and competitive presence in automated responses. 

SEO and LLM visibility work together: SEO builds authority and accessibility, while LLM exposure shows how brands are represented inside AI-generated responses.

How We Chose the Top LLM Tracking Tools

We built this list based on hands-on testing, product research, and a close review of each platform’s features and documentation.

Every tool was evaluated using the same criteria, including LLM visibility capabilities, ease of use, reporting, pricing, and overall value. We also considered who each tool is best suited for, such as agencies, SaaS teams, enterprises, or small businesses.

Rankings are not sponsored or paid. Features and pricing reflect information available at the time of writing and may change.

Top 15 LLM Visibility Tools in 2026

After reviewing and testing a wide range of platforms, we selected the top 12 LLM tracking tools in 2026 based on features, usability, and overall value.

1. Allmond: #1 LLM Visibility Tool for SaaS, E-Commerce, and Startups

Allmond is an intuitive AI visibility tracking tool built for agencies, SaaS businesses, e-commerce brands, and startups. 

It shows whether your brand is presented when ChatGPT, Claude, Gemini, and Perplexity answer industry questions across 67+ countries, with reports ready in seconds.

Designed for simplicity, Allmond delivers powerful AI exposure insights without complexity. Whether you’re managing multiple clients or growing your own brand, it offers professional visibility tracking at an affordable price.

Key Features

• Multi-LLM brand visibility tracking across ChatGPT, Claude, Gemini, and Perplexity, with coverage in 67+ countries.
• Powerful competitor intelligence showing competitors in AI answers and how they perform across the same prompts 
• Citation scans – Alllmond.app shows you whether your brand or competitor’s brand is present in the Citations URL that LLMs use to pull their answers from
• Automated visibility scoring and trend tracking with weekly scans and clear 0–100 visibility scores.
• Client-ready dashboards and reporting, custom branding, and no-login sharing. Team and agency-focused workflows supporting unlimited projects, prompts, and clients.

Pros and Cons

Allmond Pros include:

• High confidence in data accuracy, based on real AI replies rather than simulated or proxy data.
• Affordable pricing, fast time to value, with no technical setup and AI visibility monitoring starting within minutes.
• Intuitive design, making multi-brand management and instant report sharing simple and efficient.
• Clear action prioritization, highlighting visibility gaps and guiding outreach or content efforts effectively.
• Highly scalable and flexible usage, supporting unlimited projects and prompts for growing teams and agencies.

Its cons include:

• Focused on AI visibility, so teams looking for broader SEO, analytics, or marketing automation features may need additional tools.
• Simplified reporting, better suited for users who prefer clarity over deep metric customization.
• A weekly scan cadence may feel limiting for teams that prefer daily or real-time updates.
• Best value at scale, making it more attractive for agencies and multi-brand teams than for single-project users.

Allmond Pricing Structure

Allmond offers transparent, predictable pricing based on scan volume, with all features included in every plan. The website helps you estimate how many scans you need. While there’s no permanent free plan, a 7-day free trial is available.

If you need more scans mid-month, you can upgrade instantly or purchase a one-time scan pack without changing your plan.

The paid plans include:

• Starter – $29 per month for up to 240 scans.
• Growth – $99 per month for up to 825 scans.
• Pro – $199 per month for up to 1660 scans.

2. Omnia: The Best LLM Visibility Tool for Teams That Want to Act on Their Data

Omnia is an AI visibility platform built for marketing and growth teams at scale-ups who need more than monitoring. It tracks brand presence, share of voice, and competitor benchmarking across ChatGPT, Google AI Overviews, Google AI Mode, and Perplexity, then converts that data into a prioritized action backlog so teams know exactly what to do next. Where most tools stop at showing you where you stand, Omnia closes the loop between tracking and execution through its agentic layer.

Key Features

• AI Visibility Tracking across ChatGPT, Google AI Overviews, Google AI Mode, and Perplexity with daily refresh via real browser simulations, not API calls. Includes competitor benchmarking on all plans.
• AI Prompt Discovery surfaces real AI search prompts with volume and difficulty scores, giving marketers the keyword-research equivalent for AI-native search.
• Actionable Insights Engine runs citation analysis and turns findings into a prioritized backlog: what content to create, where to publish, and what gaps to fix. Insights feed directly into agents that can execute on the recommendations.
• AI Sentiment Analysis tracks how AI models describe your brand at the feature level compared to competitors, so you can spot positioning gaps before they widen.
• Unlimited countries and brands included across all plans, with no extra charges for multi-market tracking.

Pros and Cons

Omnia Pros include:

• Goes beyond monitoring by turning citation data into specific, prioritized actions your team can execute on immediately.
• Real browser simulations produce high-fidelity results that reflect what real users see in AI engines.
• Prompt discovery with volume and difficulty scoring fills a gap most visibility tools ignore entirely.
• Competitor benchmarking and sentiment analysis included on all plans, not gated behind enterprise tiers.
• Proven results: one customer (TUIO, insurtech) went from 8.55% to 11.79% global share of voice, surpassing legacy incumbents. Another (OkTicket) saw a 30% increase in AI-driven inbound leads.

Its cons include:

• The action-oriented features deliver the most value when paired with a team that has capacity to execute on recommendations.
• Pricing is in EUR, which may require currency conversion for non-European teams.
• Newer entrant compared to some competitors, so the community and third-party integration ecosystem is still growing.

Omnia Pricing Structure

Omnia offers a 14-day free trial with no credit card required, so teams can evaluate the full platform before committing.

The paid plans include:

• Starter — €79 per month, suited for teams beginning to track AI visibility across a focused set of prompts.
• Growth — €279 per month, designed for marketing teams actively working to improve their AI presence with a larger prompt volume.
• Scale — €499+ per month, built for teams running multi-brand or multi-market AI visibility programs at higher prompt volumes.

All plans include unlimited countries and brands. Pricing scales based on the number of prompts monitored.

3. OtterlyAI: The Best All-round LLM Visibility Tool

OtterlyAI is a lightweight LLM tracking tool designed to help brands understand whether and how they appear in AI-powered answers. 

It focuses on core monitoring features, making it accessible for teams that want visibility insights without complexity or high costs.

OtterlyAI is particularly useful for early-stage brands or teams new to LLM exposure. This AI monitoring tool provides a simple way to track brand references across AI search engines and identify basic visibility gaps, without deep technical analysis or advanced workflows.

Key Features

• AI search monitoring across major platforms, tracking brand citations in AI-generated responses.
• Prompt-based monitoring, translating relevant queries into conversational prompts for AI-focused strategies.
• Brand visibility and sentiment analysis, showing appearance frequency, positioning, and tone in AI-driven responses.
• Link and citation tracking, identifying source URLs, and AI-driven referral opportunities.
• Competitive visibility analysis, highlighting share of voice, competitor presence, and visibility gaps.

Pros and Cons

OtterlyAI Pros include:

• Affordable pricing, making LLM visibility tracking accessible for small teams and startups.
• Lightweight setup, enabling quick AI visibility monitoring without technical expertise or complex onboarding.
• Valuable visibility insights, supporting faster, more informed decision-making.
• Time-saving AI monitoring tool capabilities, allowing quick audits and efficient LLM tracking across AI platforms.
• Focused feature set, ideal for teams needing essential LLM tracking without added complexity.

Its cons include:

• Limited depth in analysis and reporting, with minimal guidance to help users improve content visibility in AI-generated results.
• Costs increase at higher tiers, which can reduce affordability as monitoring needs grow.
• No integrated content creation or optimization tools, requiring users to rely on external platforms for execution.
• Weekly data updates limit real-time visibility, preventing rapid response to sudden changes in brand references.
• Basic sentiment analysis, which lacks the deeper citation-level available in more advanced tools.

OtterlyAI Pricing Structure

OtterlyAI offers lower-cost plans designed for small teams and individuals. There’s no permanent free tier, but users can start with a 14-day free trial that includes premium features. Paid plans also offer optional add-on packages for expanded functionality.

The paid plans include:

• Lite – $25 per month (billed annually) or $29 per month (billed monthly) for up to 15 prompts tracked.
• Standard – $160 per month (billed annually) or $189 per month (billed monthly) for up to 100 prompts tracked.
• Premium – $422 per month (billed annually) or $489 per month (billed monthly) for up to 400 prompts tracked.
• Enterprise – Contact the OtterlyAI team to get pricing.

4. Arobis AI: Best for AI Visibility Optimization and Actionable GEO Insights

Arobis AI is an AI visibility tracking tool and agency designed to help brands understand, measure, and improve how they appear across leading AI search engines and answer platforms. This includes ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews.

Unlike many AI visibility tools that focus primarily on reporting mentions and citations, Arobis AI combines visibility tracking with actionable recommendations to help brands improve their presence in AI-generated answers. The platform tracks brand mentions, recommendations, citations, Share of Model (SOM), and competitor visibility while identifying opportunities to strengthen AI search performance over time.

It is best suited for SaaS companies, agencies, marketing teams, and brands that want to move beyond monitoring and actively improve their visibility across AI-powered search experiences.

Key Features

• AI Visibility Tracking across ChatGPT, Gemini, Claude, Perplexity, and Google AI. Overviews using prompt-level monitoring and multi-model analysis.
• AI Visibility Checker that quickly evaluates how often a brand appears, is cited, and is recommended across major AI platforms.
• Competitor Benchmarking and Share of Model (SOM) analysis to compare AI visibility against competing brands and identify market gaps.
• Citation and Source Analysis that reveals which websites, pages, and sources AI models rely on when generating recommendations.
• Actionable GEO Recommendations that help brands improve discoverability, strengthen citations, and increase visibility within AI-generated answers.

Pros and Cons

Arobis AI Pros include:

• Comprehensive tracking across leading AI search engines and answer platforms from a single dashboard.
• Combines monitoring with actionable optimization recommendations rather than reporting visibility metrics alone.
• Fast AI Visibility Checker that provides immediate insights into brand presence and discoverability.
• Strong competitor benchmarking and Share of Model analysis for measuring market position in AI search.
• Designed specifically for brands, agencies, and SaaS companies focused on AI search growth and Generative Engine Optimization (GEO).

Its cons include:

• Primarily focused on AI visibility and AI search performance rather than traditional SEO metrics such as backlinks and keyword rankings.
• The AI visibility category is still emerging, making benchmarks less established than conventional SEO reporting.
• Organizations new to AI search may require time to understand AI visibility metrics and their business impact.
• Best results are achieved when combined with broader SEO, content marketing, and digital PR efforts.
• Some advanced monitoring and reporting capabilities may require higher-tier plans.

Arobis AI Pricing Structure

Arobis AI offers a free AI Visibility Checker that allows businesses to assess their visibility across major AI platforms. Paid plans are designed for growing startups, SaaS brands, and enterprises that require ongoing monitoring, competitor benchmarking, citation tracking, and AI visibility optimization at scale Starting at a monthly retainer.

5. Peec AI: Best for Simple, Practical LLM Visibility Tracking

Peec AI is one of the early dedicated LLM tracking tools, specifically built to track brand visibility across major AI search engines and LLMs. This refers to ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. 

It captures daily visibility data to show which prompts trigger brand references and where citations originate. It also shows how a brand’s visibility compares to competitors. 

It’s best suited for brands with existing AI presence that want to monitor, benchmark, and refine it over time.

Key Features

• Daily brand presence tracking across ChatGPT, Perplexity, and Google AI Overviews using multi-model prompt testing.
• Clear dashboards and prompt management with AI-assisted suggestions, exportable reports, and API integrations.
• Competitive benchmarking to identify which competitors appear in automated responses instead of your brand.
• Source and citation analysis revealing URLs AI models rely on for PR, content, and link strategies.
• Sentiment insights and recommendations to prioritize high-impact improvements and strengthen AI mentions.

Pros and Cons

Peec AI Pros include:

• Clean, intuitive interface with quick setup, enabling teams to start tracking visibility with minimal onboarding.
• Comprehensive brand presence tracking across major AI platforms, including position, sentiment, and geographic context.
• URL-level citation and source analysis to show why specific results appear and how content influences automated responses.
• Strong competitive benchmarking and gap analysis, highlighting where competitors are featured instead.
• Flexible, scalable pricing, with major LLMs included by default, a free tier available, and paid plans that support unlimited users.

Its cons include:

• The platform reports brand citations and visibility metrics. However, it offers limited guidance on how to interpret the data or act on it to improve visibility.
• Tracking begins at sign-up, with no access to historical data from before the subscription, which restricts long-term analysis.
• Frequent daily updates can create data overload without clear prioritization or recommendations.
• Pricing may be high for small teams or solo founders relative to the available feature set.
• The tool focuses primarily on brand and entity tracking. It offers limited support for broader positioning or deeper analysis.

Peec AI Pricing Structure

Peec AI’s pricing is based on the number of prompts you track and the number of AI-generated responses analyzed each month. There’s no permanent free tier, but users can try the Peec AI platform during a free trial without providing a credit card.

The paid plans include:

• Starter – €75 (around $87) per month (billed annually) or €89 (around $104) per month (billed monthly) for up to 25 prompts tracked and 2250 AI answers analyzed.
• Pro – €169 (around $197) per month (billed annually) or €199 (around $232) per month (billed monthly) for up to 100 prompts tracked and 9000 AI answers analyzed.
• Enterprise – €424+ (around $493+) per month (billed annually) or €499+ (around $580+) per month (billed monthly) for up to 300 prompts tracked and 27000 AI answers analyzed.

6. Addlly AI: Best for Enterprise GEO & AI Content Operations

Addlly AI is an enterprise-focused GEO and AI visibility platform designed to help brands improve how they appear in AI-generated answers across ChatGPT, Google AI Overviews, Perplexity, Gemini, and Claude.

Unlike traditional SEO platforms that mainly focus on rankings and traffic, Addlly AI is built around AI discoverability and citation visibility. The platform combines AI visibility tracking, citation analysis, GEO recommendations, and AI-powered content generation into one centralized workflow for SEO and marketing teams.

Addlly AI is particularly well suited for enterprise organizations, agencies, and multi-market brands that want to scale GEO strategies across regions, languages, and content workflows while maintaining brand consistency.

Key Features

• AI visibility tracking across ChatGPT, Google AI Overviews, Gemini, Perplexity, Claude, and other LLM-powered search environments.
• Citation analysis and competitor benchmarking showing where brands are mentioned, which competitors dominate AI answers, and which sources AI systems rely on most.
• GEO recommendations focused on improving citation likelihood, AI interpretation, and brand discoverability in generative search.
• Brand-trained AI agents capable of generating GEO-optimized blogs, social posts, newsletters, and multilingual marketing content aligned with brand tone.
• Workflow automation that helps teams run audits, generate recommendations, and create optimized content without complex prompt engineering.
• Enterprise-grade infrastructure with SOC 2 and ISO 27001 compliance, governance controls, scalable deployment, and multi-LLM support.

Pros and Cons

Addlly AI Pros include:

• Combines AI visibility monitoring, GEO optimization, and content execution in one platform.
• Strong enterprise support with multilingual workflows, governance controls, and scalable AI operations.
• Built specifically for AI search visibility across multiple LLMs including ChatGPT, Gemini, Claude, and Perplexity.
• Brand-trained AI agents help maintain consistent messaging across campaigns and regions.
• Allows teams to create and optimize content directly inside the platform instead of relying on multiple external tools.

Its cons include:

• Enterprise-focused workflows may feel overly complex for smaller businesses or solo marketers.
• Advanced GEO analytics and citation tracking can require onboarding time for teams new to AI visibility strategies.
• Some advanced features and managed services require custom pricing discussions.
• Businesses looking for lightweight SEO-only tooling may find the platform broader than necessary.

Addlly AI Pricing Structure

Addlly AI offers custom pricing for businesses, agencies, and enterprise teams based on usage volume, GEO workflows, AI visibility tracking requirements, and managed services.

The paid plans include

• Standard Plan – Includes GEO query actions, recommendation reports, and AI content generation features.
• Advanced Plan – Custom pricing based on visibility audits, citation analysis, and content generation requirements.
• Enterprise Plan – Custom pricing for enterprise-scale GEO operations, multilingual workflows, governance controls, and managed AI visibility services.
• Agency & Managed GEO Services – Custom pricing based on client volume, tracking requirements, and managed optimization support.

7. Profound: Best for Enterprise-Scale AI Visibility and Strategic Insights

Profound is an enterprise-focused LLM tracking tool built for organizations that require depth, scale, and customization. It helps brands understand how they are surfaced, described, and compared in AI-generated responses across major LLMs and AI-powered search interfaces.

Unlike lighter tools, Profound is built for complex brand ecosystems. It supports large prompt libraries, multiple regions and languages, and detailed competitive analysis. 

It is best suited for brands that already invest heavily in SEO tools and content strategies, as it scales into generative search.

Key Features

• Comprehensive brand visibility tracking across ChatGPT, Google AI Overviews, Perplexity, and Claude.
• Competitive and category insights showing share of voice, competitor presence, and AI search visibility gaps.
• Source and citation analysis to identify websites and content AI systems that they rely on for answers.
• Conversation Explorer, which uses real user prompts to estimate AI demand and uncover emerging topics.
• Agent Analytics, which provides server-level insights into AI crawler behavior and indexing signals.

Pros and Cons

Profound Pros include:

• Built for enterprise and global brands, with security and infrastructure for complex data environments.
• Links data insights to content strategy, connecting Conversation Explorer findings with audience and market research.
• Action-oriented sentiment and prompt insights, including topic-level analysis and proactive visibility recommendations.
• Comprehensive visibility and citation metrics showing how AI systems reference and attribute content.
• Purpose-built for AI search and GEO, delivering deeper insight into AI behavior and indexing patterns.

Its cons include:

• High cost compared to many competitors, with enterprise pricing in the thousands, which can be less accessible for SMEs.
• Complex, data-heavy interface that requires time and expertise to use effectively.
• Limited built-in content creation and execution capabilities, as the platform is primarily focused on intelligence.
• Advanced features are only available on higher-tier plans, including full AI model coverage and API access.
• Some users report occasional technical issues, such as slow data exports and integration reliability problems.

Profound Pricing Structure

Profound offers pricing plans for brands and agencies, based on the number of prompts tracked. There’s no permanent free plan, but the Growth plan includes a free trial, allowing users to test the platform.

The paid plans include

For Brands:

• Starter – $82.50 per month with 2 months free (if billed annually) or $99 per month (if billed monthly) for up to 50 prompts tracked.
• Growth – $332.50 per month with 2 months free (if billed annually) or $399 per month (if billed monthly) for up to 100 prompts tracked.
• Enterprise – custom pricing available upon request.

For Agencies:

• Agency Growth – starting with $99 per month + add-ons
• Agency Enterprise – custom pricing available upon request.

8. AIclicks: #1 LLM Visibility Tool for Brands and Agencies

AIclicks is a Generative Engine Optimization (GEO) platform built for brands and agencies tracking, analyzing, and growing their visibility across AI-powered search. It monitors brand mentions across 10+ platforms including ChatGPT, Perplexity, Gemini, Claude, Grok, DeepSeek, Meta AI, and Google AI Overviews, with daily data refresh.

Where most tools stop at tracking, AIclicks goes further. It surfaces the real prompts buyers ask AI tools, maps where competitors beat you, and delivers a done-for-you action plan to close visibility gaps. Trusted by 900+ brands and 400+ agencies, the platform pairs GEO intelligence with built-in AI content agents that write, optimize, and track, all in one place.

Key Features

• Multi-platform brand visibility tracking across 10+ AI engines with daily refresh and country-level monitoring. 
• Competitor benchmarking and share of voice tracking, showing which prompts competitors dominate and why. 
• Citation and source analysis revealing which URLs AI engines trust and reference in your category, including Reddit threads, review sites, and third-party guides. 
• AI content agents that generate blogs, FAQs, and guides structured for AI extraction. 
• Done-for-you weekly action plans tied directly to visibility gaps, not raw data.

Pros and Cons

AIclicks pros include:

Broadest AI engine coverage on the market, tracking 10+ platforms including Grok, DeepSeek, and Meta AI alongside the four major engines. Daily data refresh instead of weekly, giving teams faster signal on what’s working. Built-in AI content generation removes the need for external tools to act on insights. Actionable recommendations tied to prompt-level gaps, not just aggregate scores. Scales from solo founders to agencies managing hundreds of client brands. Tracks Reddit citations, which is the second most-cited source in ChatGPT after Wikipedia, alongside traditional web sources.

Its cons include:

Higher starting price than lightweight trackers, which may not suit very small teams with minimal tracking needs. Feature depth requires some onboarding time to use effectively. AI content generation limits vary by plan, which can restrict output volume on lower tiers.

AIclicks Pricing Structure

AIclicks offers three main plans based on prompts tracked and AI answers analyzed per month. All plans include a 3-day free trial with no credit card required.

The paid plans include:

• Starter: $59 per month for 30 prompts tracked and up to 4,650 AI answers analyzed monthly, covering ChatGPT, Perplexity, and Gemini.
• Pro: $189 per month for 150 prompts tracked and up to 18,600 AI answers analyzed monthly, adding Google AI Overviews and unlimited team seats.
• Business: $499 per month for 300+ prompts tracked and up to 55,800 AI answers analyzed monthly, adding Claude and Grok coverage plus a dedicated account representative.
• Agency and Enterprise plans are available with custom pricing for teams managing multiple client brands at scale.

9. Rankshift AI: Best for Marketing teams & agencies focused on AI visibility tracking

Rankshift AI is an AI visibility tracking platform built to monitor how brands appear inside AI-generated answers across tools like ChatGPT, Gemini, AI Overviews, AI Mode, Copilot, Perplexity, Claude, Meta AI and Mistral. Instead of traditional keyword rankings, Rankshift works with prompt-based tracking, analyzing AI responses to detect brand mentions, citations, and competitor presence. 

The platform also provides share of voice metrics, historical tracking, and unique crawler analytics that show how AI bots interact with your website and which pages are used in answers.

Key Features

• Tracks brand mentions, citations, and competitor visibility across multiple AI platforms using prompt-based monitoring.
• Includes share of voice tracking to measure visibility against competitors over time.
• Sentiment analysis showing how AI perceives your brand, strengths, themes, and areas for improvement.
• Provides crawler analytics that show when AI bots visit your site and which pages are used in AI-generated answers.
• Supports integrations with tools like Looker Studio, BigQuery, and Power BI for advanced reporting.
• UI-based tracking (chat interface, not API) 
• Unlimited users and projects on every plan

Pros and Cons

Rankshift AI Pros include:

• Strong multi-LLM coverage across major generative platforms rather than focusing on one ecosystem.
• Direct insight into AI answer positioning, not just traditional SEO metrics.
• Competitor visibility benchmarking within the same AI-generated responses.
• Granular citation tracking and gap analysis, useful for GEO strategy development.
• AI crawler analytics, providing log-level insight into how generative engines discover and process site content.
• Flexible credit-based pricing, allowing prompt scheduling control and cost optimization.
• Unlimited users and projects, making it viable for agencies and larger teams.
• Focused product scope, avoiding feature bloat common in broader SEO platforms.

Its cons include:

• Requires thoughtful prompt setup: As with most LLM tracking tools, results depend heavily on the quality and coverage of chosen prompts. Poor prompt strategy limits signal quality.
• Credit-based system requires management: While flexible, improper scheduling or excessive prompt runs could deplete credits quickly if not planned strategically.

Rankshift AI Pricing Structure

Rankshift AI uses a credit-based pricing model. Unlike tools that force daily checks for every tracked prompt, Rankshift allows control over frequency, which can significantly improve cost efficiency.

The paid plans include:

• 30-day free trial available
• Paid plans start at €77 per month
• Unlimited users and unlimited projects included
• Flexible scheduling (daily, weekly, monthly prompt runs)

10. Scrunch AI: Best for Persona-Based LLM Visibility Insights

Scrunch AI focuses on how brands are presented in AI-driven responses across different personas, intents, and audience segments. Instead of treating AI visibility as one-size-fits-all, Scrunch AI analyzes how answers change depending on who is asking the question and why. 

This makes Scrunch AI especially useful for brands with multiple customer segments or complex buyer journeys. 

This LLM tracking tool helps teams understand not just whether they appear in AI-driven responses, but which audience sees them, in what context, and alongside which competitors.

Key Features

• Persona-based LLM tracking across AI-generated responses, showing how brand presence varies by audience segment and intent.
• Analysis of brand citations by intent, audience type, and use case, revealing how positioning changes across different buyer contexts.
• Competitive visibility insights within persona-specific AI-driven responses, highlighting which competitors appear for different audiences and scenarios.
• Monitoring across major LLMs, ensuring consistent visibility and insights across platforms where users ask AI queries.
• Agent Experience Platform (AXP), which enables brands to create and evaluate a separate website optimized specifically for AI engines.

Pros and Cons

Scrunch AI Pros include:

• Strong focus on visibility across different audience types, providing deeper insight than traditional brand citation tracking.
• Clean, intuitive dashboard with an easy setup and workflow, making prompt management and metric interpretation accessible for non-technical teams.
• Insightful competitor analysis that clarifies how brands feature and compete in AI-generated responses.
• Actionable insights and advanced monitoring help teams improve and strengthen brand visibility across AI search engines.
• Responsive, collaborative customer support that improves onboarding and overall user experience.

Its cons include:

• Limited technical and crawl-level analysis, reducing usefulness for infrastructure or AI crawler insights.
• Less effective for single-audience brands, where persona-based insights add limited value.
• Limited execution and optimization workflows, requiring external tools to act on insights.
• Prompt data lacks volume metrics, limiting understanding of demand and user intent.
• Restricted exporting and visualization options, often requiring manual reporting workarounds.

Scrunch AI Pricing Structure

Scrunch AI’s pricing depends on the number of users and tracking scope. There is no permanent, no-cost plan, but the entry-level plan includes a 7-day free trial to test the platform. This AI visibility tracking tool offers benefits for agencies, with pricing available upon request.

The paid plans include:

• Explorer – $83 per month (billed annually) or $100 per month (billed monthly) for up to 100 prompts tracked.
• Growth – $417 per month (billed annually) or $500 per month (billed monthly) for up to 700 prompts tracked.
• Enterprise – custom pricing available upon request.

11. Hall: Best for Citation-Level LLM Brand Tracking

Hall focuses on where and how brands are cited in AI-powered answers. Instead of limiting analysis to prompt-level mentions, this LLM tracking tool identifies which domains, pages, and brands LLMs reference and how consistently they appear across models.

This LLM tracking tool connects LLM visibility directly to content authority, citations, and source-level performance.

This makes Hall especially valuable for SEO teams, publishers, and content-led brands seeking to understand why they appear in AI replies, not just whether they are mentioned.

Key Features

• Citation-level LLM tracking, showing which domains and pages are referenced by AI engines in generated answers.
• Source and authority analysis, revealing which content formats, domains, and publishers LLMs consistently rely on when generating answers.
• Brand and competitor citation monitoring, showing which brands are referenced together and in what informational context.
• Multi-model coverage, tracking visibility across leading LLMs and AI-powered search experiences.
• Historical LLM tracking and trend analysis, allowing teams to monitor gains or losses in AI citations over time.

Pros and Cons

Hall Pros include:

• Deep focus on citations and sources, providing clearer insight into how LLMs evaluate authority and trust.
• Strong alignment with SEO and content strategy, making it easier to tie AI visibility back to specific pages and publishers.
• Clear competitive insights that show which competitors are earning AI citations and why.
• Clean reporting around references and mentions, useful for audits, benchmarks, and stakeholder reporting.
• Particularly valuable for publishers, media sites, and content-heavy brands.

Its cons include:

• Limited persona or intent-based analysis compared to tools focused on audience segmentation.
• Less guidance on execution, requiring teams to translate insights into content or technical changes themselves.
• Users report data limitations in the free version, especially when tracking multiple sites or APIs at scale.
• May feel overly granular for teams looking for high-level brand visibility summaries only.
• Smaller teams may find it takes longer to master it, especially if they are unfamiliar with citation-based analysis.

Hall Pricing Structure

Hall offers a permanent free plan with basic functionality. Pricing is transparent and predictable. It’s based on tracking scope, number of projects, supported platforms, and data depth requirements. 

The paid plans include:

• Starter – $199 per month (billed annually) or $239 per month (billed monthly) for up to 500 tracked questions.
• Business – $499 per month (billed annually) or $599 per month (billed monthly) for up to 1000 tracked questions.
• Enterprise – starting from $1499 per month.

12. Clearscope: Best for AI-Informed Content Optimization

Clearscope is one of the tools for AI visibility that focuses on improving content relevance and topical authority using AI-driven keyword and semantic analysis. 

While not a pure LLM tracking tool, it helps brands optimize content in ways that align closely with how AI engines evaluate information.

This makes Clearscope especially useful for content, SEO, and editorial teams that want to strengthen content quality and authority. These factors increasingly influence how brands feature in AI-generated responses and AI-powered search experiences.

Key Features

• AI-powered content optimization, providing keyword, topic, and semantic recommendations based on top-performing content.
• Content grading and scoring, showing how well a page aligns with expected topical coverage and relevance.
• Competitor content analysis, revealing which terms and topics competing pages include.
• Integration with writing workflows, including Google Docs and popular CMS platforms.
• SERP-based insights, helping teams align content with real search and informational intent.

Pros and Cons

Clearscope Pros include:

• Strong emphasis on content quality and topical depth, enabling teams to create authoritative, AI-friendly content with higher relevance and credibility.
• Clean, intuitive, user-friendly interface that fits seamlessly into existing editorial and content workflows.
• Actionable, data-driven recommendations with smooth integrations for tools like Google Docs and WordPress.
• Automated competitor analysis that reveals outlines, word counts, and topic coverage. This significantly reduces manual research time.
• Responsive customer support, quick to help with guidance that goes beyond basic how-to questions.

Its cons include:

• No direct tracking of brand references or citations, limiting insight into how content is surfaced or referenced by AI engines.
• Limited visibility into content performance across different LLMs or AI-powered search platforms.
• Narrow focus on content optimization, without broader SEO capabilities offered by all-in-one SEO tools and platforms.
• Higher pricing compared to lightweight SEO tools, which may present challenges for smaller teams or individual creators.
• Less suitable for brands prioritizing prompt-level insights or real-time AI visibility monitoring.

Clearscope Pricing Structure

Clearscope does not offer a permanent no-cost plan. Pricing is based on user seats and feature access. This LLM tracking tool’s paid plans include optional add-on packages that unlock additional features and expanded functionality.

The paid plans include:

• Essentials – $129 per month for up to 20 tracked topics and topic explorations.
• Business – $399 per month for up to 20 tracked topics and topic explorations.
• Enterprise – pricing available upon request.

13. BrandLight: Best for Brand Mention and Sentiment Tracking in AI Answers

BrandLight focuses on monitoring how brands are mentioned, positioned, and described in AI-powered answers. 

It analyzes brand presence, sentiment, and contextual framing across LLMs, helping teams understand how AI narratives shape brand perception.

This makes BrandLight especially useful for marketing, PR, and brand teams that want visibility into how their brand is represented in AI-driven responses, alongside competitors, and across different query types and platforms.

Key Features

• Brand citation and positioning monitoring across AI-generated responses to track visibility trends.
• Content gap identification for topics where brands are absent or weakly represented.
• Source and publisher analysis showing which references influence AI brand inclusion.
• Technical visibility insights into how AI systems access and interpret brand content.
• Alerting and reporting capabilities for brand references and sentiment changes in AI-driven replies.

Pros and Cons

BrandLight Pros include:

• Strong focus on brand mentions and sentiment, helping manage AI-driven brand narratives.
• Intuitive dashboards for marketing and PR teams, with fast onboarding and minimal setup.
• Valuable competitive insights into brand positioning and co-mentions across AI platforms.
• Clear visibility into brand exposure trends, supporting messaging and reputation decisions.
• Enterprise-ready design, offering centralized oversight across brands, regions, and teams.

Its cons include:

• Limited insight into citations and sources behind AI responses. This makes it less helpful for content and SEO analysis.
• Minimal support for content optimization or technical SEO tasks. This means teams need other tools to act on the insights.
• Sentiment analysis stays at a high level and may miss deeper context or nuance in how brands are described.
• Less useful for teams focused on building content authority or analyzing publishers and sources.
• Non-transparent pricing makes early cost comparison more difficult.

BrandLight Pricing Structure

BrandLight does not publicly list detailed pricing. Plans are typically customized based on tracking volume, number of monitored brands, and feature access. Pricing details, demos, or trials require contacting the sales team.

14. Nightwatch: Best for Hybrid SEO and AI Visibility Tracking

Nightwatch combines traditional SEO rank tracking with emerging AI and LLM tracking. This gives teams a comprehensive view of how their content performs in both search interfaces and AI-generated responses. 

Its dual focus helps brands understand visibility across classic SERPs and modern conversational search formats.

This makes it easier to align SEO strategy with evolving AI-driven discovery.

Key Features

• AI & LLM tracking, measuring how often your brand and keywords appear in responses from models like ChatGPT and Claude.
• LLM tracking metrics like average position, share of voice, and sentiment to compare performance against competitors.
• Advanced rank tracking, monitoring keyword positions across search engines, locations, and devices.
• Competitor benchmarking, showing visibility trends versus rivals in both SEO and AI search contexts.
• Custom dashboards and reporting, designed for internal analytics and client communication.

Pros and Cons

Nightwatch Pros include:

• Clean, intuitive dashboards for SEO teams, with fast onboarding and flexible tracking setup.
• Combines SEO rank tracking with AI visibility insights across search engines and AI platforms.
• AI visibility metrics, including share of voice, average position, and sentiment across models.
• Clear performance trend visibility across organic search and AI results for better decisions.
• Scalable for professional and enterprise teams, with robust reporting, APIs, and centralized project management.

Its cons include:

• Features like AI and LLM tracking may feel less detailed than more advanced tools for AI visibility.
• The platform focuses on tracking and reporting, offering limited guidance for on-page optimization, backlink analysis, or hands-on SEO recommendations.
• With many features and configuration options, new users may need some time to fully use the platform.
• Less suitable for teams that need deep citation, source-level, or authority analysis within AI-powered answers.
• Pricing scales with the number of keywords tracked, which can become costly for teams tracking large keyword sets or multiple markets.

Nightwatch Pricing Structure

Nightwatch offers tiered pricing based on tracked keywords, locations, and feature access. There is no free tier, but a 14-day free trial is available, so users can test this LLM tracking tool. Paid plans scale with usage and analytics depth.

The paid plan starts with $32 per month (billed annually) or $39 per month (billed monthly) for up to 250 tracked keywords.

15. Similarweb: Best for Market and Traffic Intelligence at Scale

Similarweb is an LLM tracking tool that provides deep data on website and app traffic, audience behavior, and competitive performance. 

Recently, it expanded into AI Brand Visibility and Gen AI Intelligence, enabling brands to track how they influence AI outputs. 

This makes Similarweb especially useful for marketing and strategy teams seeking a unified view of performance across traditional search and AI platforms. Backed by rich behavioral and competitive data, teams can better understand how AI visibility connects to real traffic.

Key Features

• AI Brand Visibility tracking shows when, how often, and where brands appear in LLM-generated responses and the prompts driving that visibility.
• AI Traffic insights reveal how much referral traffic AI tools like ChatGPT generate and which pages benefit most.
• Prompt and citation analysis help teams understand what queries lead to visibility and which sources influence AI citations.
• Competitive benchmarking highlights how a brand’s AI visibility compares to rivals for the same topics or prompts.
• Traditional digital intelligence includes web traffic metrics, audience behavior, and market performance across channels.

Pros and Cons

Similarweb Pros include:

• Combines traditional web and AI search visibility data for a complete view of brand performance.
• Comprehensive prompt and topic insights, revealing what users ask and why it matters.
• Competitive benchmarking across AI visibility and referral traffic for strategic context.
• Intuitive dashboards and visualizations that simplify trend analysis and insight sharing.
• Rich digital intelligence beyond AI, including audience behavior and market trend insights.

Its cons include:

• AI visibility and prompt analysis are newer, offering less depth than LLM-only tools.
• Focused on insights and benchmarking, with limited support for hands-on SEO execution.
• Traffic and engagement data are estimated, which may reduce accuracy for smaller websites.
• Less specialized for deep citation or source authority analysis in AI-powered answers.
• Advanced features are expensive, limiting accessibility for small teams and early-stage businesses.

Similarweb Pricing Structure

Similarweb does not offer a permanent no-cost plan, but a free trial is available to test the platform. Pricing is customized based on features, data depth, and usage needs, with enterprise tiers and custom options available through the sales team.

The paid plans include:

• Competitive Intelligence – $125 per month (billed annually) or $199 per month (billed monthly).
• Competitive Intelligence & SEO – $335 per month (billed annually) or $399 per month (billed monthly).
• Competitive Intelligence, SEO & Ads – $540 per month (billed annually) or $649 per month (billed monthly). This plan is currently not available and will launch soon.