Top 10 LLM Visibility Tools in 2026

Key Takeaways

• 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.

According to Gartner, traditional search engines could see a 25% drop in usage by 2026, as users increasingly ask questions through AI chatbots and AI assistants instead. 

In seconds, these systems decide which brands to mention, which sources to trust, and which ones never get featured at all. 

Those decisions are happening whether you’re paying attention or not. Your brand is already being evaluated, cited, or overlooked by LLMs behind the scenes.

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 10 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.

Measuring this matters because AI answers increasingly shape discovery, trust, and decision-making. A report from Bain & Company states that nearly 80% of consumers use Google AI Overviews for at least 40% of their searches.

According to Statista projections, the number of U.S. adults relying on generative AI as their main search tool is expected to rise from 15 million in 2024 to more than 36 million by 2028, significantly affecting retail behavior.

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 10 LLM Visibility Tools in 2026

After reviewing and testing a wide range of platforms, we selected the top 10 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. 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.

3. 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.

4. 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.

5. OtterlyAI: Best for Small Teams Seeking an Affordable LLM Visibility Monitoring

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.

6. 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.

7. 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.

8. 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.

9. 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.

10. 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.

Comparison Table of All Top 10 LLM Visibility Tools

Choosing the right AI visibility tracker depends on what you want to track, how many brands or clients you manage, and how quickly you need clear, usable insights. Some tools focus on deep analysis, others on enterprise reporting, and some prioritize simplicity and speed.

To make the decision easier, here’s a quick comparison of the best AI visibility tools:

Tool	Best for	Main Capability	Key Features	Free Trial/ Starting Price
Allmond	SaaS, E-Commerce, & Startups	Real AI response scanning	– Unlimited projects, prompts, and clients – Coverage in 67+ countries – Weekly scans – Custom branding	$29/month + 7-day free trial *All features are included in every plan
Peec AI	Practical LLM tracking	Mentions & Citations	– Daily tracking – Competitor analysis – Source & citation analysis – Sentiment insights	$87/month + free trial
Profound	Enterprise/ complex data environments	Strategy & Citations	– Competitive & category insights – Real user prompts analysis – Source and citation analysis – Deep insights into AI behavior & indexing patterns	$82.50/month + free trial
Scrunch AI	Brands with complex buyer journeys	Audience intent	– Persona-based LLM tracking – Brand citation analysis per buyer contexts – Competitor analysis – Creating a website optimized for AI	$83/month + 7-day free trial
OtterlyAI	Small teams	Basic monitoring	– Lightweight setup – Prompt-based monitoring – Sentiment analysis – Link & citation tracking	$25/month + 14-day free trial
Hall	SEO teams, publishers & content-led brands	Content authority & citations	– Source & authority analysis – Citation-level LLM tracking – Competitor citation monitoring – Historical tracking	$199/month * Offers a free plan (basic functionality)
Clearscope	Content, SEO & editorial teams	Content relevance & topical authority	– Content grading & scoring – Competitor content analysis – SERP-based insights – Integration with Google Docs & CMS	$129/month *Offers add-on packages
BrandLight	Marketing & PR teams	Brand, sentiment, and reputation monitoring	– Brand citation & positioning monitoring – Content gap identification – Source & publisher analysis – Brand references & sentiment alerts	Contact sales
Nightwatch	SEO teams	SEO + AI visibility tracking combined	– AI & LLM tracking – Advanced rank tracking – Competitor analysis – Robust reporting	$32/month + 14-day free trial
Similarweb	Marketing & strategy teams	Market & traffic intelligence at scale	– AI Traffic insights – Prompt & citation analysis – Competitor analysis – Web traffic metrics & audience behavior	$125/month + free trial

How to Choose the Best Visibility Tool for You?

All of the covered LLM tracking tools can help you understand how your brand shows in AI-generated responses. However, Allmond stands out for teams that want results without complexity.

Allmond focuses on what most teams actually need: seeing whether their brand appears in real AI responses. It helps teams understand visibility gaps and share clear reports with clients or stakeholders. There’s no technical setup, no feature overload, and no lengthy onboarding.

Because all features are included in every plan, costs are predictable and easy to manage. This makes Allmond a strong fit for agencies, SaaS companies, e-commerce brands, and startups that want professional AI search visibility tracking without enterprise friction or cost.

If you’re looking for a practical, easy-to-use LLM tracking tool that delivers clear insights fast and scales as your needs grow, Allmond is a strong choice.

LLM Visibility Tools FAQ

1. What is LLM visibility and why does it matter?

LLM visibility shows whether your brand is present in AI-generated responses. It matters because users increasingly rely on AI tools, not search engines, to discover brands and products.

2. Who should care about LLM visibility?

Anyone with a website, product, or brand should care about LLM visibility to avoid competitors gaining visibility in AI outputs while they remain focused only on traditional SEO strategies.

3. Is technical knowledge required for LLM tracking?

No. Most LLM tracking tools are designed for non-technical users and provide simple dashboards, prompts, and reports without requiring coding or complex setup.