What does an LLM visibility tool do, and which one fits your team? Compare 9 AI visibility tools on platforms, prompts, pricing, and free plan options.
The short version
Introduction
A buyer asks ChatGPT for the best software in your category. The answer names four brands. Yours is not one of them.
You will never see that conversation. It does not show up in Google Analytics, in your rank tracking, or in your social listening feed. The buyer simply moves on with a shortlist that does not include you.
An LLM visibility tool exists to close that blind spot. It asks AI platforms the questions your buyers ask, records the answers, and shows you how often your brand appears, how it is described, and which sources the AI relied on. Put simply, it tracks AI visibility across ChatGPT, Google AI Overviews, and other AI search engines, the same way rank trackers track positions on Google.
This guide explains what an LLM visibility tool is, how the data is collected, which metrics matter, and how to judge the many tools now on the market. We then compare nine options using only facts from each vendor's own pages, checked in October 2026.
What Is an LLM Visibility Tool?
An LLM visibility tool measures how a brand shows up inside answers from large language models. It is also called an AI visibility tracker, an AI monitoring tool, or LLM tracking software. Whatever the label, the job is the same: track brand visibility in AI-generated answers.
Classic SEO tools tell you where your page ranks on a results page. An LLM visibility tool tells you whether ChatGPT, Gemini, Claude, Perplexity, Meta AI, or Google AI Mode mentions your brand when someone asks a question in your space.
Most tools in this category do four core jobs:
The result is data you can act on. You can see which questions you win, which ones a rival owns, and which websites shape the answers.
Why the Term Has Two Meanings
If you search for "LLM visibility tool," you will find two very different kinds of products. It helps to know which one you need before you compare anything.
Brand visibility tools are built for marketing, SEO, and PR teams. They look at public AI engines from the outside and show how those engines talk about your brand. This is the kind of tool this guide focuses on.
LLM observability tools are built for engineering teams that ship their own AI features, such as a support bot or an in-app assistant. They look at your own model from the inside. Products in this group include open-source projects like Langfuse and platforms like LangSmith from the LangChain team.
Observability tools act as diagnostic dashboards. They capture prompts and model responses, record the system prompts and steps in each request, and keep traces. That inside view helps teams:
Both kinds of tools improve transparency, but they answer different questions. One asks "What does ChatGPT say about my brand?" The other asks "Why did our chatbot give that answer?" If you are a marketer, you want the first kind. If you run an AI chatbot on your own site, the second kind may matter later too. Our guide to white label chatbots covers that side.
Why LLM Visibility Matters for Brands
When a buyer asks an AI assistant for options, the answer works like a shortlist. Brands that appear get considered. Brands that do not risk being overlooked, often without ever knowing it. That is why brand presence in AI search now gets the attention many teams once gave to page-one rankings.
AI Answers Shape Trust Before the Click
A buyer who reads "Brand X is known for strong support" forms an opinion before visiting any website. If the AI describes your product wrongly, uses old pricing, or puts you in the wrong category, that view sticks.
This is why AI visibility monitoring is about more than counting mentions. It is also about checking how AI models describe your brand.
AI Search Is Now Part of the Buyer Journey
People now research with ChatGPT, Perplexity, Gemini, and the AI features inside Google Search. Google AI Overviews appear above many results pages, and Google AI Mode offers a full chat-style search experience. As AI search grows, AI visibility tracking becomes a normal part of marketing reporting, next to rank tracking and Google Search Console data.
Traditional Metrics Miss AI Conversations
Your analytics and SEO tools only see visits and rankings. A conversation in ChatGPT that ends with a competitor never touches your site. Social listening tools also miss it, because a private chat is not a public post. An AI visibility tool is one of the few ways to see these answers at all.
For a closer look at the business case, read why you should use AI search monitoring tools.
Who Needs an AI Monitoring Tool?
Not every business needs an AI monitoring tool on day one. But most teams that sell online will need some form of AI visibility tracking soon.
Marketing and SEO Teams
These teams already report on search. Adding AI search visibility to the same report shows leaders the full picture of how buyers find the brand, and helps explain why traffic changes even when rankings hold steady.
PR and Communications Teams
PR teams care about which publications AI search engines trust. Citation data shows which outlets and review sites shape AI answers about the brand, which turns AI visibility tracking into a guide for media outreach.
Agencies
Agencies use AI visibility tools to show clients where they stand in AI search and to prove the impact of content work.
Founders and Small Teams
A small team can start with a free trial and a short prompt list. Even a basic check will show whether AI search engines know the brand exists.
LLM Visibility vs Traditional SEO
Traditional SEO and AI visibility are related, but they measure different things.
Rankings vs Citations
Traditional SEO relies on keyword rankings. AI visibility tracks citations and mentions. You can rank on page one for a term and still be left out of the AI answer for the same question.
A 2026 Ahrefs study found that only about 38% of pages cited in AI Overviews also ranked in the top 10 for that query, down from about 76% in July 2025. Good rankings still help, but they no longer guarantee a place in the AI answer.
Clicks vs Presence
Traditional SEO focuses on rankings and traffic. AI visibility measures how brands appear in AI responses, not clicks. Many AI answers satisfy the question without a visit, so a brand can gain influence even when traffic stays flat.
Why You Need Both
Traditional search still sends most website traffic for most businesses. Technical SEO, keyword research, and strong content still matter, and they feed AI answers too, since many AI engines pull from pages that search engines already trust. For more on how the disciplines fit together, see AEO vs SEO vs GEO.
How an LLM Visibility Tool Works
Knowing how the data is collected helps you read it correctly. Tracking methods vary, and that affects accuracy.
Step 1: You Choose the Prompts
Prompts are the questions the tool runs. Good prompts match how real buyers ask, such as "best project management tool for small agencies" or "Is Brand X good for enterprise teams?"
Some tools let you write every prompt. Others suggest prompts or offer large pre-built prompt sets based on search data. Most let you tag prompts by topic, product line, or buyer stage. Our guide to building a buyer-intent prompt library covers how to choose them.
Step 2: The Tool Queries AI Engines
The tool sends each prompt to the AI engines in your plan. Two broad methods exist:
Vendors do not always explain which method they use. It is a fair question to ask on a demo call.
Step 3: Answers Are Parsed
Each answer is scanned for brand mentions, competitor names, the order brands appear in, links, and cited sources. Some tools also run sentiment analysis on the text around your brand name.
Step 4: Metrics Roll Up Into Reports
The tool combines many runs into metrics like mention rate, visibility score, and share of voice. Because AI answers vary, more runs give a more reliable picture. A single answer is a snapshot. Fifty answers to the same prompt show a pattern.
Key Metrics in AI Visibility Tracking
Each vendor names its metrics a bit differently, but most report some version of these. For a deeper look, see AEO metrics that actually matter.
Mention Rate
The share of answers where your brand appears. If your brand appears in 12 of 40 answers, your mention rate is 30%. This is the base metric for AI visibility.
Visibility Score
A summary number that combines mentions, and sometimes position or prompt volume, into one figure. Every tool calculates it differently, so you cannot compare scores across tools. Use it to track your own trend over time.
Share of Voice
Your AI mentions as a percentage of all mentions for you and your tracked competitors. Share of voice shows whether you are gaining or losing ground, not just whether you appear.
Position
Where your brand appears inside the answer. Being named first in a list of five is usually worth more than being named last.
Citations
The pages and domains the AI linked to or used as sources. Citation data is often the most actionable, because it shows which sites shape AI answers in your category.
Sentiment
Whether the text around your brand is positive, neutral, or negative. It is useful for spotting problems, but treat it as a signal, since automated sentiment is not perfect.
AI Crawler Analytics
Some tools also report when bots from OpenAI, Google, Anthropic, Perplexity, and others visit your site, and which pages they read. This helps you spot pages AI systems never see.
What to Look for in an LLM Visibility Tool
Beyond prompt-level tracking and competitor comparisons, these features most often decide the right fit.
Platform Coverage
Check which AI engines are in the plan you can afford, not just the top plan. Most tools cover ChatGPT. Many also cover Google AI Overviews, AI Mode, Gemini, and Perplexity. Fewer cover Claude, Microsoft Copilot, Meta AI, DeepSeek, or Grok. Some tools ask you to pick a few models on lower tiers or sell extra engines as add-ons.
Prompt Limits and Refresh Rate
Prompt counts range from about 15 to several hundred on public plans. Also check how often prompts run. Daily refresh catches changes faster. Weekly refresh costs less and is often fine for small teams.
Multi-Country Tracking
AI answers can change by location and language. If you sell in more than one market, look for multi-country tracking. Some tools support one country on entry plans and more on higher tiers.
Competitor Benchmarking
Look for side-by-side share of voice, competitor caps per plan, and the ability to see which prompts a rival wins.
Citation and Source Analysis
Look for page-level source data, not just domain names. Page-level data tells you exactly which article, review page, or forum thread to target.
Reporting, Exports, and Integrations
Agencies and larger teams often need Looker Studio connectors, CSV exports, or API access. Check which plan unlocks these, since many tools reserve API access for higher tiers.
Pricing Model
You will see four pricing models:
Free trials and free reports are a low-risk way to start before you commit budget.
Quick Comparison: 9 AI Visibility Tools
This table uses each vendor's public pages, checked in October 2026. "Not stated" means we could not find the detail on the vendor's own site. Prices change often, so confirm before you buy.
We did not score or rank these tools, because the best fit for one team can be the wrong fit for another.
1. Peec AI
Peec AI is a focused AI search analytics tool. Its homepage says it is trusted by more than 3,000 brands and agencies.
What Peec AI Tracks
Peec AI centers on three metrics: visibility (the share of chats that mention your brand), position, and sentiment. It also separates sources into ones that informed an answer and ones the AI linked to directly.
Data refreshes daily, and you can segment results by model, region, and prompt tags. You can also benchmark against competitors to see who wins each prompt.
Peec AI Pricing
The Peec AI pricing page lists four plans:
All plans include unlimited users and daily tracking.
Where Peec AI Fits
Peec AI suits marketing teams and agencies that want a clean, dedicated view of AI search visibility with sentiment built in. The main thing to check is model choice: non-enterprise plans include three AI models, so pick the ones your buyers use most. We compare it with Aimate in Aimate vs Peec AI.
2. Semrush AI Visibility Toolkit
The Semrush AI Visibility Toolkit is a separate product inside the Semrush platform. It suits teams that already use Semrush for SEO.
What It Tracks
The Semrush knowledge base lists reports including Visibility Overview, Competitor Research, Prompt Research, Brand Performance, Prompt Tracking, and AI Search Site Audit.
Its AI Visibility Score reflects how often your brand is mentioned in AI answers compared with the median for your top competitors. Brand Performance reports look at the tone and attributes AI uses when it mentions your brand.
Pricing
Semrush lists the toolkit at $99 per month with 25 prompts for Prompt Tracking. You can raise the tracking limit for $60 per month. Semrush states that the toolkit does not offer a free trial.
Where It Fits
A natural pick if your team lives in Semrush already. Prompt Research is useful for finding topics before you decide what to track. The 25-prompt base is small for larger brands, so budget for extra prompts.
3. Ahrefs Brand Radar
Ahrefs Brand Radar adds AI visibility tracking to the Ahrefs SEO platform. Its main difference is scale: it draws on a large index of prompts built from Ahrefs' keyword data.
What It Tracks
Ahrefs says Brand Radar runs more than 447 million search-backed prompts through AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini, and Copilot. Claude is available for custom prompts.
Brand Radar reports mentions, citations, and AI share of voice. This lets you see your brand's AI visibility without writing a single prompt first.
Pricing
Custom prompts start at $50 per month. The AI Visibility Index starts at $199 per month. Check the Ahrefs pricing page for how these combine with its main plans.
Where It Fits
A strong fit for SEO teams already on Ahrefs, because it links AI visibility to the keyword and backlink data they already use. Sentiment is not listed on the Brand Radar page, so pair it with manual review if tone matters to you.
4. Profound
Profound positions itself as an AI marketing platform for larger companies.
What It Tracks
Profound's Answer Engine Insights show how AI describes your category and how often your brand appears. Its Enterprise plan tracks up to nine answer engines. Other features include prompt volume data, sentiment tracking, and analytics for AI crawler activity.
Pricing
Profound offers a free trial with 50 prompts run daily for 7 days on ChatGPT, Gemini, and Google AI Overviews. Paid plans use custom pricing through sales.
Where It Fits
Profound suits enterprise teams that need wide engine coverage, SSO, an API, and security reviews. Smaller teams may find the custom pricing and enterprise focus more than they need.
5. LLMrefs
LLMrefs takes a keyword-first approach. You enter keywords, and it generates related prompts and tracks how AI engines answer them.
What It Tracks
LLMrefs lists coverage across ChatGPT, Google AI Overviews, AI Mode, Gemini, Perplexity, Claude, Grok, Copilot, Meta AI, and more. It supports geo-targeting in 50+ countries and 20+ languages.
Features include citation tracking, share of voice and position against competitors, monthly AI prompt volume estimates, weekly reports, CSV export, and API access. The plan also bundles extra tools such as an AI crawlability checker and an LLMs.txt generator.
Pricing
LLMrefs lists one "All in One" plan at $79 per month with 500 tracked prompts, unlimited team members, and unlimited projects. It offers a 7-day free trial.
Where It Fits
LLMrefs suits SEO-minded teams and agencies that want broad engine coverage at a modest price. Reports are weekly, so it is better for trend tracking than daily alerts.
6. Scrunch
Scrunch tracks brand visibility in AI answers and also offers ways to serve AI agents an optimized version of your site. It says more than 500 brands and agencies use it.
What It Tracks
The Core plan covers four AI platforms: ChatGPT, Perplexity, Google AI Overviews, and Copilot. It includes citation and source data, sentiment analysis, five tracked competitors, AI bot traffic analytics, and site audits. The Enterprise plan expands to nine models, including Claude, Gemini, Meta AI, AI Mode, and Grok.
Pricing
Core is $250 per month with 125 unique prompts and 5,000 responses a month. Enterprise is custom and adds API access and SSO. A 7-day free trial is available.
Where It Fits
Scrunch suits teams that want sentiment, citations, and crawler data from the entry plan. Gemini, Claude, and AI Mode require Enterprise, which matters if your buyers use those.
7. Rankscale
Rankscale uses credits rather than a fixed prompt count. Each AI answer the tool collects uses a fraction of a credit, and unused credits roll over.
What It Tracks
Rankscale lists ChatGPT, Gemini, Perplexity, Claude, DeepSeek, Mistral, Grok, Copilot, and more. Plans include citation analysis, competitor benchmarking, and page audits, with unlimited search terms and scheduling from hourly to monthly.
Pricing
Pro comes with a 7-day free trial.
Where It Fits
Rankscale suits agencies that manage many brands, thanks to multiple dashboards and white-label options on Growth. Credit-based pricing takes a little planning, since cost depends on how many prompts and engines you run.
8. Otterly.AI
Otterly.AI is one of the lower-cost AI visibility tools, with GEO audits built in.
What It Tracks
Every Otterly.AI plan tracks ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot daily, with Gemini, Claude, and AI Mode available as paid add-ons. Plans include brand reports, support for 50+ countries, a prompt research tool, and GEO audits. Standard and Premium add API access, MCP access, and agent analytics.
Pricing
Lite is $29 per month with 15 prompts. Standard is $189 per month with 100 prompts. Premium is $489 per month with 400 prompts. Yearly billing saves 15%, and a free trial is available.
Where It Fits
A good entry point for small teams that want a first look at AI search visibility. If your buyers rely on Gemini, Claude, or AI Mode, budget for the add-ons. See Aimate vs Otterly.AI for a closer comparison.
9. Aimate
Aimate is our own product, so we describe it the same way as the others, using only what its site states.
What It Tracks
Aimate tracks ChatGPT, Gemini, Claude, and Perplexity, with Google AI Overviews and AI Mode data via Search Console. It reports mention rate, answer position, share of voice, sentiment, citation sources, and which competitors appear in your place. It stores every raw AI response, so you can check the answer behind each metric.
Its Search Console connection lets you see AI Overview and AI Mode impressions next to your pages, countries, and devices, which links AI visibility to real search data.
Pricing
Aimate's pricing page lists Starter at $149 per month ($124 billed yearly) with 30 prompts and weekly checks, Growth at $399 per month ($333 billed yearly) with 150 prompts and daily checks, and a custom Scale plan that adds API and data export. The homepage offers a free AI visibility preview.
Where It Fits
Aimate suits teams that want AI tracking tied to Search Console data, and businesses that may also want a branded website chatbot from the same vendor. Daily monitoring starts on Growth, and API access is on Scale.
How to Choose the Best AI Visibility Tool for Your Team
There is no single best AI visibility tool. The right one depends on budget, team size, and where your buyers search.
If You Have No Budget Yet
Start with a free trial or a manual check. Track 15 to 25 prompts that match real buyer questions for a month and see which AI engines mention you and which competitors keep showing up. That tells you whether paid tracking is worth it. Our guide on how to track brand mentions on ChatGPT walks through the manual method.
If You Already Pay for SEO Tools
Test the AI add-on from your current SEO platform first. Semrush's toolkit and Ahrefs Brand Radar both keep AI data next to rank tracking, keyword research, and backlink data.
If You Need Depth on AI Search
Dedicated tools like Peec AI, LLMrefs, Rankscale, and Scrunch go deeper on prompts, sources, and engines. They suit teams that treat AI search as its own channel with its own reporting.
If You Are an Agency
Look for multiple projects or dashboards, unlimited users, white-label reports, and an API. Credit-based tools can be flexible here, while flat plans are easier to budget.
If You Are an Enterprise Team
Prioritize engine coverage, SSO, security reviews, and data exports. Ask every vendor for a trial on your own prompts, and expect custom pricing conversations.
Questions to Ask Every Vendor
How to Improve Your LLM Visibility Once You Can Measure It
LLM visibility tools track mentions and citations. They do not change the answers. The work that improves your AI visibility happens on your site and across the web. Think of the work as AI SEO and the tool as the scoreboard.
Fill Citation Gaps
Look at the sources AI engines cite for prompts where competitors appear and you do not. These are often review sites, comparison articles, industry lists, and forum threads. Earning a fair mention on those pages is one of the most direct ways to grow AI mentions. See our guide to auditing the sources AI engines cite.
Publish Clear, Useful Content
Write pages that answer real buyer questions directly. Use plain headings, short summaries, and specific facts. Comparison pages, pricing pages, and use-case pages make it easy for an AI to describe what you do.
Fix Wrong Facts at the Source
If AI answers show old prices, retired features, or the wrong category, fix your own site first. Then update your profiles on review sites, directories, and partner pages.
Keep Technical SEO in Good Shape
AI crawlers need to reach your pages. Check that your robots.txt does not block the bots you want, that key pages load fast, and that important content is in plain HTML.
Track Trends, Not Single Answers
One AI answer is a snapshot. Report mention rate, share of voice, and citation trends over weeks and months. For an ongoing process, see how to monitor brand mentions in ChatGPT, and for a ChatGPT-focused comparison, see the best tools to track ChatGPT brand mentions.
Common Mistakes When Using AI Visibility Tools
Even good tools can give misleading results when set up poorly. Watch for these.
Tracking Only Branded Prompts
Prompts like "What is Brand X?" will almost always mention you. They tell you little. Most of your prompts should be the unbranded questions buyers ask before they know you exist.
Comparing Scores Across Tools
Each vendor builds its visibility score its own way. A 40 in one tool is not a 40 in another. Compare your score with itself over time.
Reading Too Much Into One Week
AI engines update models and sources often. A drop in one week may be noise. Look for changes that hold for several weeks before you act.
Ignoring the Raw Answers
Dashboards summarize, but the raw answers show how the AI talks about you. Read a sample each month. You will often spot wrong facts or odd framing that no metric captures.
Tracking Too Many Engines Too Early
More coverage is not always better at the start. Begin with the AI platforms your buyers actually use, usually ChatGPT and Google's AI results, then expand once your process is working.
Final Thoughts
An LLM visibility tool gives you a view of a channel that used to be invisible. It shows whether AI engines mention your brand, how they describe it, and which sources they trust.
The right tool depends on your team, and the best setup is the one your team will actually review each week. Free trials are enough to learn the basics. SEO platform add-ons work well if you already pay for one. Dedicated tools go deeper when AI search becomes a real channel for you.
Whichever you pick, the tool is only the first step. The gains come from better content, accurate facts, and earned mentions on the sites AI engines rely on. If you want to see where your brand stands today, book an Aimate demo.
