What are the best AI visibility tools to track your brand in 2026?

GEO AI visibility tools measure whether your brand gets cited by ChatGPT, Claude, Gemini or Perplexity, and how often compared with your competitors. Without LLM tracking, you steer your GEO strategy blind, while Gartner forecasts a 25% drop in traditional search volume as early as 2026¹.

Prices last verified: September 2026

What is an AI visibility tool and what does it do?

An AI visibility tool monitors how your brand appears in the answers generated by LLMs. It automatically queries ChatGPT, Claude, Gemini, Perplexity or Google AI Overviews with prompts tied to your business, then analyses the results.

The principle is simple. The tool submits queries such as « best SEO consultant in Nice » or « which CRM should a small business choose ». It collects the answer, identifies whether your brand is mentioned, in what context, and with which sources.

Three mechanics coexist on the market:

• Mention tracking: the tool spots every time your brand name appears in an AI answer, with or without a link.
• Citation analysis: it identifies the URLs from your site cited as a source by the LLM, a strong authority signal.
• Prompt simulation: it reproduces what a user would see when asking an AI engine a question, then compares your presence with your competitors’.

LLM tracking does not replace classic SEO. It completes it. You now steer two dashboards: your Google positions and your share of voice in AI answers.

The best AI visibility tools in 2026, compared

The LLM tracking market has exploded since late 2024. More than 40 solutions exist. I keep only ten here, all tested, that deliver measurable value for a business owner or a marketing team in France.

1. Cockpyt AI: the best value for money among French-built tools

Cockpyt AI dashboard (demo, randomised data)

I co-founded Cockpyt AI. I say it upfront, for transparency. And I designed it to solve a problem I kept running into with my SEO consulting clients: nobody knew whether their brand was cited by ChatGPT, nor how to measure that visibility without spending hours on it.

Cockpyt AI queries ChatGPT and the other LLMs every week. The tool generates several key metrics, among them the Cockpyt Score (our in-house algorithm) and Share of Voice (your relative share against competitors). If your score is low, the tool automatically produces a list of GEO recommendations prioritised by impact (high, medium, low).

The main features:

• Every prompt is tested once a week on Gemini, ChatGPT and Perplexity. AI Overview and AI Mode are in development, with no date announced.
• The tool reports the sources the AI used to answer. Essential for a targeted link building campaign.
• The AI runs web queries to build its answer, the query fan-out. Cockpyt AI tells you which ones to prioritise in your writing.
• The hallucination radar shows you what the AI says about you that is factually wrong (pricing, address and so on).
• GEO audit: the GEO audit is Cockpyt AI’s greatest strength. It blends technical GEO auditing, citation analysis and AI traffic into a detailed, prioritised action plan.
• AI traffic: through GA4 and Google Search Console, the tool tracks all your traffic coming from AI engines.

The approach is deliberately simple. No overloaded dashboard. No dozens of LLMs nobody ever checks. A focus on ChatGPT first, which remains the most used AI engine in France, and concrete actions to improve your presence. For a freelancer or a small company starting out in GEO, it is the most accessible entry point on the French market.

2. Qwairy: the most complete tool for SEO and GEO specialists

Qwairy covers ten AI engines: ChatGPT, Perplexity, Copilot, Gemini, AI Overviews, Grok, Claude, Mistral, AI Mode and DeepSeek. That is the widest multi-LLM coverage among French-built tools. Developed by two French founders (Luca Fancello and Nicolas Ilhe), it goes well beyond position tracking.

Qwairy identifies the content you need to create to appear in AI answers, the sources citing your competitors without citing you, and the communities (YouTube, Reddit, X, Quora) where you should strengthen your presence. The API and the MCP connector let you pipe the data into your existing workflows.

Prices start at €59/month on Starter (1,000 credits). The Growth plan at €189/month (4,000 credits, up to 5 workspaces) is the recommended tier for an agency or a structured marketing team. A 14-day free trial is available with no credit card.

3. Meteoria: French GEO built on UI scraping

Meteoria is a 100% French tool adopted by more than 1,000 companies. Its distinctive trait: it queries the AI user interfaces through UI scraping, not through APIs. The answers it analyses are therefore identical to what a real user would see.

The tool covers ChatGPT, Google AI Overview, Perplexity, Gemini and Grok, with daily analysis. Meteoria offers an e-commerce module dedicated to ChatGPT product carousels, sentiment analysis and query fan-out tracking.

The Starter plan begins at €75/month for 25 prompts (2,250 monthly answers, onboarding included). The Pro plan at €175/month moves up to 100 prompts and 9,000 answers. Beyond that, plans are custom from €300/month.

4. Epovest: the only prepaid measurement in this comparison

Epovest does not sell a subscription. You buy credits, they never expire, and only the checks you launch are debited. The unit is the check: one prompt, asked of one AI, once, at $0.10 ($0.20 on Claude and Grok). Ten prompts tracked weekly across three engines works out at roughly $12 a month. The model pays off when your measurement is irregular, and loses its edge as soon as you track many prompts daily.

The six engines covered, ChatGPT, Claude, Gemini, Perplexity, Mistral and Grok, are queried through their official APIs, not through interface scraping. Every full answer is archived with its sources and its date. In my view, this is the point to settle before buying: Meteoria and Botrank made the opposite choice, to reproduce what a real user sees. The API gives a stable, comparable series, scraping gives the real rendering with all its noise.

The standout feature is the Atlas, a map of the sites feeding the answers in your market, ranked by an in-house metric scored from 0 to 100. It tells you which source to work on first. API and MCP control let an AI assistant run the tool itself, and agencies open one project per client with no cap.

The limits: no free trial, a $10 minimum top-up, billing in dollars, and an American publisher (Sels de Rehy, LLC, Delaware) despite a complete French interface.

5. Botrank.ai: technical GEO auditing and the Bob AI agent

Botrank.ai is a French LLM tracking tool with French-language support and a responsive team. It analyses your visibility daily on ChatGPT, Perplexity, AI Overview, Gemini and Mistral through UI scraping.

What sets Botrank apart: the technical GEO audit of your pages (20+ criteria, score and recommendations) and the « Bob » AI agent, able to analyse your visibility data, write optimised content and structure an action plan. It is the only tool on the market offering an autonomous agent dedicated to GEO.

Three plans: Starter from €75/month, Business from €245/month, and a custom tier. All plans include unlimited user seats and multi-country, multi-language analysis. A 7-day free trial is available.

6. Profound: the enterprise solution for large accounts

With a $96 million funding round in 2026, Profound is the most complete platform on the global market. Multi-LLM tracking, sentiment analysis, AI traffic attribution, ChatGPT Shopping features, and above all Prompt Volumes, data on what millions of users ask AI engines, with demographic segmentation.

The price reflects the ambition: $99/month on Starter (limited to a single AI engine) and $399/month on Growth. Full access (multi-platform, API, unlimited seats) requires an Enterprise plan on quotation. Profound targets companies managing tens of thousands of prompts that need fine-grained steering of their GEO return on investment.

7. Peec AI: the most readable dashboard on the market

Peec AI is a Berlin-built tool designed around one idea: show only what serves. Three self-serve plans, priced by prompt volume (50, 150 then 350), with daily tracking and unlimited users on every tier. Entry sits at around $95 a month, with a 15% discount on annual billing.

The real strength is the Sources view, which goes down to URL level. You do not just read that a competitor is « often cited », you see the exact article driving the citation, and the pages naming your rivals without naming you. A native MCP server lets you plug the data into your own tools.

The trap is the engine count. All three self-serve plans cap at 3 simultaneous engines, chosen from ChatGPT, AI Mode, AI Overviews, Copilot, Perplexity and Gemini. The fourth is a paid add-on, and Claude, Mistral or DeepSeek stay locked behind Enterprise. Price the add-ons before comparing the headline figure with a tool that includes everything.

8. Otterly AI: the lowest ticket to entry

Otterly AI, an Austrian publisher, offers the lowest entry price in this comparison after Cockpyt AI: $29 a month for 15 tracked prompts. The next tiers climb to $189 (100 prompts) and $489 (400 prompts), with roughly 15% off annually and unlimited team members throughout.

Four engines are included on every plan: ChatGPT, Google AI Overviews, Perplexity and Microsoft Copilot. The tool adds a GEO URL audit that checks whether your pages are even reachable and usable by the engines, a control many tools skip.

Two reservations. Gemini and Google AI Mode are billed separately, which bites if your French audience uses Gemini. And both the API and the MCP server start on the Standard plan at $189, not on the entry tier. In my view, Otterly remains the best pick for a solopreneur who first wants to check whether they exist at all in AI answers, before investing in structured tracking.

9. Semrush AI Toolkit: AI visibility inside a suite you already run

Semrush AI Toolkit sells as an add-on module at $99 a month and covers four engines: ChatGPT, Gemini, Perplexity and AI Overviews. Its appeal fits in one sentence: if your team already works in Semrush, you add AI visibility without opening a second tool or training anyone.

The headline figure deserves a careful read. The $99 covers one domain, one user and 25 prompts. An agency with five clients or a team of three leaves that frame very quickly, and the Semrush One bundles become the real comparison point.

In my view, this module should be judged on its marginal cost, not its total cost. Added to an existing Semrush subscription, it is the cheapest option on the market to cover both channels. Bought on its own, it holds no advantage over the specialised tools in this list.

10. Ahrefs Brand Radar: market data, at a steep price

Ahrefs Brand Radar covers six AI indexes: AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini and Copilot. Its difference lies in the raw material. The tool draws on a base of more than 260 million prompts actually asked by users, while almost the entire market runs on test prompts defined by the client.

So you do not only measure your position on your own questions, you see which questions your market genuinely asks. No other tool in this comparison holds that asset.

Price is the breaking point. Each index costs $199 a month, the bundle of six comes to $699, and all of it sits on top of an Ahrefs subscription starting at $129. The real bill for full coverage therefore passes $800 monthly. In my view, this tool earns its place for an advertiser already on Ahrefs doing market research, not for tracking a single brand’s visibility: three tools in this list do that job for a twentieth of the price.

Which KPIs should you track to measure LLM visibility?

Before choosing a tool, you need to know what you are measuring. Five indicators structure AI visibility tracking.

The visibility score (or Cockpyt Score in some tools) quantifies how often your brand appears in AI answers for a given set of prompts. It is your « position zero » in the LLM universe.

LLM share of voice compares your presence with your competitors’. If a competitor captures 40% of mentions on your target queries and you capture 12%, you have a quantifiable gap to close.

Sentiment analysis assesses the tone of mentions: positive, neutral or negative. An LLM can cite your brand while advising against it. Knowing you are mentioned is not enough, you need to know how.

Cited sources reveal which content feeds the LLM’s answer. Structured markup is present on 61% of pages cited by AI engines (Foundation Marketing, March 2026, reported in ConvertMate’s GEO Benchmark)². Be wary of the shortcut I see everywhere: Ahrefs added structured data to 1,885 pages then measured the real effect on AI citations. They barely moved³. JSON-LD remains a prerequisite for indexability, not a citation lever.

AI traffic tracking through GA4 measures sessions coming from AI referrers (perplexity.ai, chatgpt.com). It is the only real first-party data linking AI visibility to business performance.

How do you choose the right LLM tracking tool for your business?

The best tool depends on three variables: your budget, your technical level and the number of LLMs you target.

You are a freelancer or a small business in France. Start with GA4 (free) to measure your real AI traffic. Add Cockpyt AI (€29/month) or Botrank (€75/month) for mention tracking and GEO recommendations. Monthly budget: €0 to €75.

You are a mid-sized company with a marketing team. Qwairy or the Semrush AI Toolkit module cover multi-LLM tracking, competitive analysis and content recommendations. Budget: €59 to €199/month.

You are a large account or an SEO agency. Profound or Ahrefs Brand Radar offer the widest coverage, with attribution, AI crawling and advanced sentiment analysis. Budget: $200 to $800+/month.

One frequent trap: stacking tools. One tool used well beats a pile of dashboards nobody opens. The tool does not make the strategy. Your ability to produce citable content, structured, sourced, visible on third-party platforms, is what determines your visibility score in LLMs.

The limits of AI visibility tools: what they do not tell you

No LLM tracking tool delivers a perfectly reliable measurement. And you should know that before investing.

The volatility of AI answers is the first bias. The same question asked of ChatGPT two hours apart can produce two different answers. LLMs are probabilistic. The score you observe is a snapshot, not a stable position.

The Superlines study (January to February 2026, 34,234 AI answers across 10 platforms) measured citation variations reaching a factor of 615 depending on the platform, for the same brand, the same content and the same period⁴.

Methodological opacity is the second problem. Most tools do not disclose which prompts they use, how results are weighted, or which model versions the tests run on. Your score may reflect the tool’s query set more than your real visibility.

Overlap with Google is low and unstable. On AI Overviews, 83% of citations come from pages outside the organic top 10⁵. On ChatGPT, only 6.82% of results appear in Google’s top 10, and 28.3% of the most-cited pages rank nowhere at all⁶. These measurements vary by method: Ahrefs recorded 38% overlap on AI Overviews in March 2026, against 17% for BrightEdge in February. In my view, keep the order of magnitude rather than the figure: your GEO competitors are not the ones in your SERP.

My recommendation: use these tools as compasses, not as GPS units. Always cross-check the data from an AI visibility tool against your GA4 metrics and your manual prompt tests.

How do you improve AI visibility beyond the tools?

An LLM tracking tool detects the problem. It does not solve it. Here are the levers that count.

Structure your content for AI engines. JSON-LD structured data (Article, FAQ, HowTo, Product) is a prerequisite for being read cleanly, and 61% of cited pages carry it². Do not expect it to lift your citation rate on its own: the Ahrefs test on 1,885 pages showed almost no movement³. Ship it for indexability, not for citations.

Multiply your off-site presence. Visibility in LLMs is built as much off your site as on it. LinkedIn has become the second most cited domain in LLMs (Semrush, analysis of 325,000 queries, January to February 2026)⁷. Your LinkedIn profile, your published articles, your Google Business Profile listing and your mentions in trade media all feed how the models perceive you.

Create « citable » content. LLMs look for factual, sourced answers with verifiable figures. A long article stacking generalities will not be cited. A short paragraph answering a question directly, with a data point and a source, has every chance of being picked up.

Watch your AI competitors, not only your SEO ones. Competitive analysis in GEO visibility tools often reveals players absent from Google’s top 10 but omnipresent in AI answers. Those are your real rivals on this channel.

GEO return on investment is measured over three to six months. In my view, judge it on your first-party GA4 data rather than on a vendor’s published average: the volatility documented above makes any cross-brand benchmark unreliable.

Frequently asked questions about AI visibility tools

Does an AI visibility tool replace Semrush or Ahrefs?

No. AI visibility tools measure your presence in LLM answers (ChatGPT, Claude, Gemini). Semrush and Ahrefs steer your SEO on classic search engines. The two complement each other. Semrush does offer its own AI Toolkit module to cover both needs in a single interface.

Can you track AI visibility for free?

Partly, yes. GA4 measures traffic coming from AI referrers (perplexity.ai, chatgpt.com). You can also test your prompts manually every week on ChatGPT and Gemini. Automation remains the main advantage of paid tools.

What is the best LLM tracking tool for a business in France?

It depends on your profile. For a freelancer or a small business, Cockpyt AI (from €29/month) offers good value in French. For a mid-sized company, Qwairy (from €59/month) or Semrush AI Toolkit ($99/month) are the most complete. For a large account, Profound ($399/month) leads the market.

Will GEO replace SEO?

No. SEO remains the foundation of your indexability and your domain authority. GEO adapts your content to be cited and recommended in generative AI answers. The most profitable strategy combines the two: solid Google positions and content optimised for LLMs.

How do you know whether ChatGPT cites your brand?

Manual method: ask ChatGPT the questions your prospects ask (« best [your sector] in [your city] ») and check whether your brand appears. Automated method: a tool such as Cockpyt AI or Qwairy submits those prompts every week and alerts you when your visibility score shifts.

Does structured data influence AI visibility?

Less than people claim. Pages cited by AI engines carry JSON-LD in 61% of cases, but Ahrefs tested causality in June 2026: after adding structured data to 1,885 pages, AI citations barely moved. The correlation comes from the fact that sites which mark up are also the ones that publish better and hold authority. In my view, implement JSON-LD for indexability and Google rich snippets, not in the hope of an AI citation gain.

Does LinkedIn influence visibility in LLMs?

Strongly. According to Semrush (325,000 queries analysed, January to February 2026), 11% of AI answers cite a LinkedIn URL on average. For professional queries (business, finance, tech), LinkedIn is the most cited domain across the six platforms analysed. Your profile, your articles and your company page are GEO levers in their own right.

Sources

• Gartner, « Gartner Predicts Search Engine Volume Will Drop 25% by 2026, Due to AI Chatbots and Other Virtual Agents », February 2024.
• ConvertMate, Boris Kwemo, « GEO Benchmark Study 2026: What Actually Drives Visibility in Generative Search », 12,500 queries across 8,000 domains, 29 March 2026.
• Ahrefs, « We Tracked 1,885 Pages Adding Schema. AI Citations Barely Moved. », June 2026.
• Superlines, « AI Search Statistics 2026 », 34,234 AI answers across 10 platforms, January to February 2026.
• BrightEdge, « AI Overviews at the One-Year Mark », February 2026, data reported in ConvertMate’s GEO Benchmark.
• The Digital Bloom, « 2026 AI Citation Position and Revenue Report », March 2026, data reported in ConvertMate’s GEO Benchmark.
• Semrush, AI Visibility Index, analysis of 325,000 AI queries, January to February 2026.

Florian Zorgnotti, SEO consultant in Nice since 2016.