How to get your SaaS brand quoted by ChatGPT (and other AI Tools)

The way people find answers online is changing. ChatGPT, Perplexity, Gemini and other AI assistants are quickly becoming the go-to for millions of users looking for quick, clear, and trustworthy information. In fact, you could say that LLMs (large language models) are the new search engines… or at least, they’re starting to steal the spotlight.

And if you’re in B2B SaaS which is likely to reach USD 315.68 billion in 2025, you can’t afford to ignore it. Because if someone asks ChatGPT for the “best CRM for startups” or “alternatives to HubSpot,” and your brand isn’t mentioned? You’ve missed your shot.

At Quoleady, we’ve helped B2B SaaS brands get found not just on Google, but also in the answers AI assistants give to users every day. We’ve researched every credible source, read every LinkedIn thread on LLM optimization, and tested dozens of strategies across client sites to see what actually works.

This article brings all of that together – a practical guide based on real data, experiments, and results. And the good news is, you don’t need to throw out your whole content strategy. 

In this post, I’ll walk you through how to get your SaaS content featured in tools like ChatGPT – not just by tweaking your content, but by rethinking where you publish, how you build authority, and what makes your content worth quoting in the first place. Let’s get into it.

How do LLMs (like ChatGPT) find and use content?

Many people think ChatGPT works like Google but it doesn’t. It doesn’t crawl your website or fetch new blog posts in real time. Instead, it was trained on a snapshot of public content that was available at the time – like blogs, articles, Wikipedia, and forums.

That said, some tools and versions (like ChatGPT with browsing, Perplexity, or Microsoft Copilot) can access fresh information. They use browsing tools or APIs (like Bing Search) to pull in recent web content and answer questions more accurately. But this depends on the specific tool and whether browsing is enabled.

So how does your content actually get used in an AI-generated answer?

It all comes down to how “memorable” your content is. That doesn’t mean witty or quirky – it means clear, factual, and cited. LLMs are trained to look for patterns in trustworthy information. They tend to favor these things in your content:

• Clarity: Short, focused paragraphs, clear headlines, and logical structure make it easy for LLMs to understand and quote your content
• Factual and well-cited: LLMs love content that’s backed by data, references, and expert opinions
• Widely referenced: When your content or brand is mentioned across trusted blogs, media, and community threads, LLMs are more likely to pick it up. The more you’re talked about online, the more authority you gain.

That’s why some websites get quoted constantly, and others don’t even make the cut. If your content is well-structured, has a number of links from great domains and sounds like a human wrote it (not a jargon robot), it’s got a better shot at showing up.

Bottom line: your goal is to show up in the places LLMs already trust. 

That includes high-authority websites commonly used in training data – like Wikipedia, Stack Overflow, major news outlets, and well-established blogs. It also means industry publications, niche SaaS blogs that are publicly accessible and frequently cited, and content hubs like Reddit, Quora, Medium, and GitHub. 

Many of these are also indexed by Bing, which powers live results for tools like Bing AI and some versions of ChatGPT.

Dig deeper: How Retrieval-Augmented Generation (RAG) Impacts AI Recommendations And What SaaS Marketers Should Do to Stay Ahead

Want to be Quoted by AI? Start with better SEO

The 2025 B2B SaaS SEO Performance Report analyzed 300 B2B SaaS websites and over 15,000 data points to figure out what’s actually working right now.

Top-performing brands aren’t just publishing more content or chasing trends. They focus on high-impact content – like alternatives, comparison pages (e.g. Slack vs Microsoft Teams), product-led use case articles, template libraries, and helpful tools like calculators. These are the pieces that earn traffic, links, and conversions.

They also make data-driven SEO decisions: prioritizing topics based on search intent, traffic potential, and conversion value – not just copying what competitors are doing.

In short, it’s not about how much you publish – it’s about publishing the right content in the right format, backed by strategy and quality.

And here’s what’s interesting: the same SaaS companies succeeding in search are also the ones showing up in AI-generated responses. They’re not doing anything radically different – they’re just getting the fundamentals right.

That’s exactly the approach we took with GoRout. We targeted lead-gen keywords their ideal buyers were actually searching for, structured the content with clear headings and direct answers and got them cited on great relevant platforms. As a result, their organic clicks doubled in just six months:

But it wasn’t just SEO success – their content also started showing up in LLM-generated answers, including a #3 ChatGPT ranking for “softball pitching devices”:

The future of SEO is not about just ranking on page one, but being the source that LLMs choose to quote. If you want your SaaS brand to stay visible, it’s time to think beyond Google and start optimizing for the new answer engines.

Related: LLMs vs SEO: What’s Changing in Search Discovery

5 steps to get your content into LLM answers

If you want your B2B SaaS brand’s name (and content) to actually show up in ChatGPT or Perplexity answers, you need to do more than just write a blog post and hope for the best. Here’s what you can do:

1. Stop recycling content that’s already available online

LLMs prefer original and trustworthy information. If your content is just repurposing the same stuff everyone else is saying, it’s forgettable. Also, why would ChatGPT choose your answer if it’s exactly the same as hundreds of others? When we consult clients on LLMs visibility, we always recommend including fresh data, expert insights, or anything first-hand and experience-based in their content: 

Think: What kind of content are LLMs more likely to pick up?

Insights from your product

Share unique data based on how people use your tool. This kind of content is hard to replicate and adds real value.
Example: Semrush published how often their brand appears in AI Overviews.

Survey results from your users

Run surveys and publish what you learn. LLMs are more likely to surface fresh insights that reflect real user behavior.
Example: A “State of SaaS SEO” report based on 300 customer responses.

Quotes or input from experts and founders

Including expert commentary adds credibility – something LLMs tend to favor when selecting content to reference.
Example: A founder roundup on how teams are adapting to AI search.

Templates, calculators, and generators

Tools that solve real problems and offer hands-on value are more likely to be quoted or recommended.
Example: Dashboards examples and reporting tables by Coupler.io

Real-world product use cases

Show how your product works with numbers and outcomes. LLMs often surface this kind of content when answering tool-specific questions.
Example: “How Our CRM Helped Reduce Churn by 23%.”

Mini-tools or benchmarks

Small, helpful tools or up-to-date industry benchmarks are frequently referenced – especially when no one else is publishing them.
Example: “2025 SaaS Pricing Benchmarks” or “AI Content Score Checker.”

Helpful visuals or decision trees

Well-structured visuals make complex ideas easier to understand – for both users and AI.
Example: A flowchart for picking the right customer onboarding strategy.

Open datasets or live dashboards

If your data is public, original, and regularly updated, it’s more likely to be referenced by others – including LLMs.
Example: A live dashboard tracking AI tool adoption across industries.

Foundational explainers on emerging topics

LLMs often reference clear, structured content that defines or explains new concepts.
Example: “What Is GEO?” explained in plain language.

Takeaway: LLMs are more likely to use original content because it improves the quality of their answers. Say something new – not just what everyone else is saying.

Read also: SEO vs GEO: Why Your Content Might Be Invisible in AI Search (And How to Fix It)

2. Publish in the right places

Even the best content won’t get picked up if it’s sitting on an island. LLMs learn from public, high-authority websites – content that’s accessible, well-linked, and easy to find. They typically ignore gated PDFs, hidden pages, or private Slack threads.

So while your company blog is important, also think about:

• Guest posts on trusted industry blogs to have strong authority
• Mentions in popular SaaS newsletters like SaaS Hill, MKT1, etc. to reach thousands of marketers and founders 
• Listing your SaaS on review websites like G2, Capterra and GetApp (builds credibility)
• Contributing to Wikipedia pages, Reddit threads to get scraped for real-world opinions and product mentions
• Getting mentioned in roundup posts, listicles and product comparisons (these formats are easy for AIs to summarize and generate answers)
• Use social media like LinkedIn and Twitter (X) to show thought leadership and share industry reports

The more visible, trusted, and widely distributed your content is, the more likely it is to be picked up by LLMs – and the more discoverable your brand will be, everywhere your buyers are searching.

We recently analyzed dozens of high-intent keywords like “Slack alternatives” and “Intercom alternatives” and found that Reddit ranks in the top 5 on Google for 76% of them.

Zapier with their tools listicles is also showing up on Google top 5 quite often (53% of all high intent “alternatives” searches). If your brand shows up on Zapier, Reddit, or other top-ranking pages, there’s a good chance it’s also showing up in LLM answers.

My advice: Get into as many SaaS tool listicles in Google top as possible be it Reddit, Zapier or even your competitor. It will help your SEO and, most certainly help your brand appear on LLMs. 

Here’s an example of how LLMs pick up information from Reddit. Once this post was published:

ChatGpt started showing Vexa.ai a SaaS brand in the results:

Another high intent keyword study we’ve done around Reddit influence shows that Reddit-listed tools appear in all four LLMs (ChatGPT, Perplexity, Gemini, Claude), with overlap percentages ranging from 16.67% to 39.71%. This suggests that:

– LLMs are likely using Reddit either as part of their training data or indirectly through other indexed content.

– Perplexity (39.71%) and Gemini (36.27%) show the strongest Reddit-tool alignment, suggesting they might rely more on up-to-date or user-generated data sources.

If you’re not active on Reddit yet, it’s time to start. Jump into threads that are relevant to your business and genuinely engage – it’s one of the most underrated growth channels right now (and ways to get into LLMs answers as well).

Check out our latest research on whether Reddit influences LLM results.

3. Make your content easy to find and use

LLMs aren’t skimming your blog like a human. They’re trained to scan patterns, structure, and clarity – so give them clear ones to show up in AI answers.

Use:

3.1 Descriptive headlines

• Good:
  How to Measure SaaS Churn Rate (With Formula & Examples)
  (Clear, keyword-rich, tells the reader exactly what to expect)
• Bad:
  Churn Rate
  (Too vague – doesn’t set expectations or match search intent)

3.2 Add questions in headings

LLMs and users often search in question form. If your headings don’t match those questions, you’re missing out.

• Good:
  “How Much Does SaaS Customer Support Software Cost in 2024?”
  (Matches common LLM/user queries like “cost of SaaS support tools” or “SaaS pricing 2024.”)
• Bad:
  “Pricing Overview”
  (Too generic – doesn’t align with how people actually ask about pricing.)

Dig deeper: Structuring Web Pages for AI-First Indexing

3.3 Plain language (ditch the jargon)

• Good:
  “SaaS onboarding is the process of helping new users get value from your software as quickly as possible.”
  (Simple, direct, no buzzwords)
• Bad:
  “Our onboarding paradigm leverages synergistic enablement touchpoints to accelerate user time-to-value.”
  (Full of business jargon – confusing for both readers and LLMs)

3.4 Bullet points, numbered lists, and bolded takeaways

• Good:
  “Key benefits of SaaS onboarding:
  • Faster time-to-value for users
  • Higher product adoption rates
  • Reduced churn”
    (Easy to scan, each point is clear and concise)
• Bad:
  “SaaS onboarding offers many benefits including the fact that it can help users realize value faster, it can increase product adoption, and it may also help with churn reduction.”
  (Long, dense sentences – harder for both humans and AIs to extract key points)

3.5 Direct, answer-style writing

• Good:
  Q: What is SaaS onboarding?
  A: SaaS onboarding is the process of guiding new users to successfully adopt and use your software.
  (Directly answers the question – ideal for LLMs and featured snippets)
• Bad:
  “When it comes to onboarding in the SaaS world, there are many things to consider, and the process can look different depending on your product and audience…”
  (Indirect, buries the answer in fluff and context)

3.6 Add long-tail keywords

Long-tail keywords are specific, niche phrases that users (and LLMs) ask about.

• Good:
  Target “best SaaS tools for remote team collaboration” instead of just “SaaS tools.”
• Bad:
  Stuffing generic keywords like “SaaS software solutions” repeatedly.
  (LLMs ignore this – it’s vague and doesn’t answer specific questions.)

3.7 Use Perplexity and ChatGPT suggestions for keyword research

LLMs can tell you what people are asking.

• Good:
  Type “SaaS pricing models” into ChatGPT and see its dropdown suggestions:
  • “SaaS pricing models explained”
  • “SaaS pricing model that are trending in 2024”
  • “SaaS pricing models that work best for startups”
    Use these exact phrases as subheadings or FAQs.
• Bad:
  Guessing keywords based on intuition alone.
  (You’ll miss the actual phrases LLMs are trained to prioritize.)

3.8 Structure landing pages for LLM prompts

Anticipate how users will ask about your product and structure your page to answer those prompts directly.

• Good:
  A landing page titled “Best CRM for Small SaaS Teams” includes:
  • “What features do small SaaS teams need in a CRM?”
  • “How much does CRM software cost for small teams?”
  • “Top 5 CRM tools for SaaS startups (2024)”
    (LLMs can easily extract these answers for queries like “CRM for small SaaS teams.”)
• Bad:
  A generic landing page titled “CRM Software” with vague sections like “Why Choose Us” and “Features.”
  (No clear answers for specific LLM/user prompts.)

Pro Tip:
Run your headlines and subheadings through ChatGPT or Perplexity. Ask, “What questions would someone have about [topic]?” If your headings don’t match the answers, rewrite them.

Don’t forget about tech on-site optimization: use schema markup (like FAQ page or article) and keep your site crawlable by search bots. A clean sitemap, fast-loading pages, and mobile-friendly design all help your content get indexed and understood by both search engines and AI models.

4. Backlinks (and mentions) are important

Backlinks aren’t just for Google anymore. LLMs pay attention too. If your content is getting mentioned, linked to, or shared by trusted sites, it’s more likely to show up in AI answers. Even if there’s no link (just a mention of your brand) it still helps.

But not all links are created equal. As Tamara Novitovic points out in her recent LinkedIn post, the time of spammy guest posts and shady link swaps is over. LLMs (and Google) are getting smarter at spotting genuine authority versus manufactured hype.

So what actually works now?

4.1 Earning mentions in niche publications

Try to get mentioned in reputable industry blogs, SaaS news sites, or useful resource lists. These are often referenced by both readers and LLMs when looking for reliable information.

4.2 Collaborating with partners on co-branded content

Partner with other SaaS companies or experts to create webinars, reports, or guides. When both brands promote it, you get more visibility and high-quality links. 

4.3 Share expert insights and original ideas

Publish content that stands out (unique data, a fresh take, or real expertise). These are the kinds of assets that get picked up organically by journalists, bloggers, and influencers.

4.4 Keep showing up with helpful content

You don’t build authority in a day. The brands that win are the ones consistently publishing content that’s genuinely useful and worth mentioning. It builds slowly, but it compounds. And LLMs notice.

5. Keep it fresh and relevant

LLMs prioritize up-to-date information, just like Google does – especially in the SaaS industry.

So revisit your top pages regularly:

• Update stats and screenshots
• Refresh product comparisons
• Add new FAQs based on customer feedback or search trends

Content updates are important both for SEO and getting your content featured on LLMs. The changes you might get from a simple content update are impressive. When we update clients’ content on the blog, here’s the change we usually see:

Monitor what LLMs are already quoting in your niche. If you spot outdated info or gaps, that’s your opportunity to publish something better and more current. Brands that stay on top of trends and keep their content updated are the ones that get referenced most often and get much better positions in Google search.

Need help getting featured in LLMs? Check out these top 6 AI marketing agencies in 2025

Technical SEO for LLMs: don’t let your content be invisible

It’s not just about what you write – it’s also about how your content is delivered. LLMs (and Google) might miss your content if it’s hidden behind JavaScript, blocked by robots.txt, or lost in a complicated site structure.

Make some small tech tweaks to get a huge difference in whether your content gets picked up by LLMs.

1. Add LLMs.txt files to your website

The llms.txt file is a simple text file you place in the root directory of your website. It helps large language models (LLMs) like ChatGPT, Gemini, or Claude better understand and process your content. It points them to your most important pages, highlights key info, and tells models what you want them to use.

While robots.txt tells search engines what not to crawl, llms.txt does the opposite: it shows AI what matters most and makes your content easier to pick up and use.

What to do:

• Create a plain text file named llms.txt and place it in your website’s root directory (e.g., yourdomain.com/llms.txt)
• List your most important pages (product docs, blog posts, case studies, API references, etc.) with short, clear descriptions. Example:

• Use markdown formatting so that LLMs can better extract context from it.
• Refresh the file as you publish new content or update existing resources.
• Don’t include private or sensitive URLs. Only list public, crawlable pages you want AI models to use.
• Use tools or plugins (like Website LLMs, Markdowner, or FireCrawl) to generate and validate your llms.txt file

2. LLMs and JavaScript-rendered content

LLMs (and even many search engines) struggle with content that’s only visible after JavaScript loads. If your key information, blog posts, or product details are hidden behind scripts or dynamic loading, there’s a good chance LLMs won’t ever “see” them.

What to do:

• Make sure your core content is server-side rendered or available in the raw HTML.
• Test your pages with “View Source” or use tools like Google’s Rich Results Test to see what’s actually visible to crawlers and LLMs.

3. Blocked by robots.txt or meta tags

If your robots.txt or meta tags (like noindex) are blocking important pages, LLMs won’t be able to access or train on them.

What to do:

• Double-check your robots.txt and meta tags to ensure your best content is open for crawling.
• Avoid blocking pages you want to appear in AI answers.

4. Crawlability and sitemaps

LLMs use the same public web data as search engines. If your sitemap is up to date and your site is easy to crawl, you increase your chances of being included in LLM training datasets.

What to do:

• Keep your XML sitemap current and submit it to Google Search Console.
• Ensure all important pages are linked internally and not orphaned.

5. Structured data (schema markup)

Adding schema markup (like FAQPage, Article, or Product) helps both search engines and LLMs understand your content’s structure and intent.

What to do:

• Use Schema.org markup for FAQs, articles, products, and reviews.
• Test your markup with Google’s Rich Results Test.

Common LLMs optimization mistakes SaaS brands make (and how to avoid them)

Most B2B SaaS brands are still playing catch-up when it comes to AI-driven search and optimizing for LLMs. Here are the classic mistakes we see again and again (and how you can avoid them):

1. Over-optimizing for bots whether it’s Google or AI

It’s easy to get caught up chasing a perfect SurferSEO score or stuffing your keyword into every other sentence. But Google’s said it before, and with AI tools now in the mix, it matters even more: write for people, not bots.

Over-optimized content doesn’t just turn off real readers, it also makes it harder for LLMs to understand and use your content.

How to fix it: It’s been said a million times, but with all the AI-generated content flooding the web, it’s worth repeating: write like a human, for humans. LLMs prefer clear, helpful, easy-to-scan content so don’t feed them keyword soup you’ve put together in 20 minutes.

2. Hiding content behind logins or paywalls

If your best insights are locked away in gated PDFs, login-only dashboards, or hidden behind a newsletter form, LLMs can’t use them. Public, crawlable content is what gets used in AI answers.

But the idea of giving away your best insights for free can feel risky. You might wonder, “How do I make money or build my funnel if I keep my most valuable content publicly available?”

How to fix it: You don’t have to give away everything, but make sure your most authoritative, high-value content is at least partially accessible and crawlable. 

Offer deep insights, frameworks, or actionable tips up front, and then invite readers to go deeper (with templates, tools, or bonus material) behind a soft gate if you need to. This way, you build trust, grow your brand’s visibility in AI answers, and still have opportunities to capture leads and nurture your funnel. Try to strike the right balance between discoverability and conversion.

3. Using jargon and buzzwords 

SaaS content is already full of tech jargons – don’t make your content harder to understand.  Nobody likes reading a wall of tech-speak, and LLMs are no exception. Overly complex language, acronyms, and fluffy buzzwords make your content harder to parse and less likely to be quoted.

How to fix it: Use plain language, short sentences, and direct answers. Instead of “streamlining workflows with scalable automation,” just say “helping teams save time with automated tasks.”

4. Not tracking where your content is being cited

You’d be surprised how often ChatGPT or Perplexity are already quoting your content – and you’d never know unless you check. Most brands don’t even realize they’re showing up in AI answers (or worse, not showing up when they should).

One of our clients was panicking after their organic traffic went down. Luckily, we discovered where it went – the same % of traffic they lost is now coming from LLMs! 

How to fix it: Start monitoring where your content is being mentioned, linked, or pulled into AI tools. You can search for brand mentions in tools like Perplexity, check referral traffic in GA4, or peek at server logs to spot AI-related hits. Check out our “How to create LLM referral report in GA4” guide. 

5. Writing content with AI (the right and wrong way)

Using AI to help you write isn’t a problem because whether you spend 30 min writing an article or 8 hours, what matters is the end result. AI writing tools can be a huge time-saver and a great way to share your ideas. 

The trouble starts when AI becomes your only source of ideas and you’re just publishing a recycled version of what’s already out there. If your content is just a remix of existing articles with no fresh perspective, unique data, or real expertise, it won’t stand out to people or LLMs.

How to fix it: Use AI as a tool, not a crutch. Start with your own insights, experiences, or research, and let AI help with structure, editing, or brainstorming. The best-performing content is usually the one where you’ve invested real thought, added something new, and made it genuinely helpful for your audience.

How to check if your content is already in LLMs (and what to do next)

Before you invest more time rewriting your content, do a quick check – your brand might already be showing up in AI answers. you don’t need fancy tools or insider access to the model’s training data to get a sense of your visibility. Here’s how you can check:

• Ask the AI directly: Just type your main topic or question into ChatGPT, Perplexity, or Gemini and see what sources they mention or quote. If your brand or unique data shows up, congrats – you’re in the game. 
• Try different prompts: Use variations of your target questions, product names, or research titles. Sometimes LLMs surface different sources depending on how the question is phrased.
• Look for direct citations: Some AIs will mention your brand by name, while others paraphrase your content. Both are wins, but direct mentions are gold.

For example, we recently asked ChatGPT about “loyalty card software” and our clients showed up as the #1 and #2 answers proving that their content was not only indexed but trusted enough to be featured.

If you’re not showing up yet, don’t panic. Here’s what to do next:

• Audit your content: Is it public, easy to read, and linked to from high-authority sites? If not, start there.
• Get feedback: Ask the AI what sources it’s using and see what those pages have in common. Is it structure, clarity, authority, or freshness?
• Iterate and improve: Update your content, target new distribution channels, and keep testing. LLMs update their knowledge over time, so persistence pays off.

Tracking your progress is key. Don’t forget to set up analytics for your website to monitor referral traffic from LLMs, so you’ll know exactly when your content starts getting picked up and where those AI-powered visitors are coming from.

Conclusion: You don’t need to “optimize for AI” – you need to be useful (and omnipresent)

TL;DR: how to show up in LLM answers:

• LLMs are changing how people find information. If your SaaS brand isn’t showing up in ChatGPT, Perplexity, or Gemini – you’re missing a major discovery channel.
  
• Getting featured isn’t about tricking AI. It’s about creating content that’s original, well-structured, and widely referenced across public, high-authority sources.
  
• You don’t need to start over. Just adapt your SEO strategy to focus on clarity, accessibility, and distribution beyond your blog – think Reddit, tool listicles, expert quotes, and content that’s genuinely useful.
  
• We’ve tested it. The brands getting quoted in LLMs are doing the basics right – and doing them consistently.

To sum everything up, I’ll say that you’re not going to outsmart an LLM with keyword tricks. And you don’t need to. This isn’t about gaming the system. It’s about making your brand visible and your content valuable that AI tools want to quote you.

LLM visibility is the new layer on top of SEO. If your SaaS content is clear, original, and your brand appears in the right places, you’ll show up in answers where it matters most.

Ready to get your content featured on LLMs? Quoleady helps B2B SaaS brands get discovered by both humans and AI. Let’s make your expertise impossible to ignore.

Book a strategy call today.