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Best LLM Visibility Tracking Tools Across AI Models (2026)

Leading LLM visibility trackers in 2026 include Ansvisor, Profound, LLM Pulse, AthenaHQ, Peec AI, Otterly.AI, Semrush and Ahrefs Brand Radar. They run your prompts across models such as ChatGPT, Claude, Gemini, Copilot and Perplexity, but coverage differs by plan. Ansvisor, an open-source AI search intelligence platform, also runs self-hosted.
Cihan Geyik
Cihan Geyik
12 min read
Last Updated:
October 21, 2026
Best LLM Visibility Tracking Tools Across AI Models (2026)
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In This Article

ChatGPT, Gemini, Claude and Copilot rarely agree. A brand can lead in one model and be missing from another. Track only one, and you see part of the picture.

Coverage also depends on the plan you buy. We checked eight trackers model by model, looked at why LLM results differ, and added our own per-model tracking data.

Key takeaways

  • An LLM visibility tracker runs the same prompts in several AI models and records, per model, who gets mentioned and which URLs get cited.
  • Model coverage is the main difference between tools, and Claude and Copilot are often paid add-ons.
  • In our tracking data, a brand’s share of voice can differ several-fold between AI engines in the same month.
  • Google AI Overviews and Gemini cited far more links per answer than ChatGPT, AI Mode or Copilot.
  • Report how often you appear across repeated runs. A single answer is a weak signal, because AI answers change between runs.
  • ChatGPT sent 87% of our AI-referred visits. Track referral traffic too.

What is an LLM visibility tracking tool?

An LLM visibility tracking tool runs a set of prompts through large language models and AI search engines on a schedule. It saves each answer and measures how your brand shows up, so you can see change over time.

For each model, it notes whether your brand is recommended, merely mentioned or missing. It also logs the cited URLs, the competitors that appear and how the answer describes you.

The category has many names: LLM visibility tool, AI visibility software, LLM brand monitoring, AI search analytics. They all do the same job. Our glossary entry on LLM visibility defines the core terms.

Look for a tool that keeps results separate by model. A blended score can hide that you’re strong in Gemini and invisible in ChatGPT.

Why do results differ between LLMs?

Each AI engine has its own model, retrieval system, search index and rules for picking sources. Put the same question to two engines and you can get different brands and different sources, in a different tone.

  • Google AI Overviews and AI Mode Google’s AI features documentation says AI Overviews and AI Mode may use different models and techniques, so their links vary.
  • Claude web search Anthropic made Claude web search available on all plans in May 2025, with direct citations to sources.
  • Microsoft Copilot citations Bing Webmaster Tools now reports how often Microsoft Copilot cites your pages and which grounding queries it used.
  • ChatGPT reach For scale, the NBER study How People Use ChatGPT estimates ChatGPT reached about 10% of the world’s adults by July 2025.

Answers also change within one model. In a SparkToro study, ChatGPT and Google’s AI gave the same brand list twice less than 1 time in 100.

Claude was only slightly more consistent. So a tracker should report how often you appear across runs and models. A position from one answer tells you very little.

How we evaluated LLM visibility tracking tools

We read each vendor’s product and pricing pages in October 2026 and compared the tools on five questions.

Evaluation questions
  1. Which of ChatGPT, Claude, Gemini, Copilot, Perplexity, AI Overviews and AI Mode does each plan include, and at what tier?
  2. Can you compare the same prompt across models, or do you only get a blended score?
  3. Does each run capture the full answer text, the exact cited URLs and competitor mentions?
  4. Does it run daily or weekly, and how long does it keep past answers?
  5. Can you see AI referral traffic and get the data out by export or API? And how does pricing scale with each added model?

Best LLM visibility tracking tools compared

Disclosure: Ansvisor is our product. We list it first for teams that want open-source, self-hostable AI visibility tracking; other tools fit better for the cases noted below.

Tool Best for Models covered
Ansvisor Open-source, multi-model tracking ChatGPT, Gemini, Copilot, Perplexity, AI Overviews and AI Mode, plus Claude on Enterprise plans.
Profound Enterprises Up to nine engines, including Claude, Copilot, DeepSeek and Exa Search.
LLM Pulse Niche and regional models Five included, with Claude, Copilot, Naver and Baidu among the add-ons.
AthenaHQ Starting free on five models Claude, AI Mode and others on paid plans.
Peec AI Tracking a few chosen models closely ChatGPT, Perplexity, Gemini, AI Mode and Copilot.
Otterly.AI Budget tracking with Copilot included Claude, Gemini and AI Mode as add-ons.
Semrush AI Visibility Toolkit SEO teams ChatGPT, Perplexity, Gemini, AI Mode and AI Overviews.
Ahrefs Brand Radar Market-level comparisons Seven engines, including Claude and Copilot.

The 8 best tools for tracking AI visibility across LLMs

1. Ansvisor

Best for: teams that want every major model in one open-source tracker they can self-host.

The open-source code covers ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity and Copilot, plus ChatGPT Shopping. Results stay separate by engine.

Each stored answer shows mentions, sentiment, cited URLs and competitors. AI traffic analytics then shows which models actually send visitors.

Pricing: cloud plans differ in model coverage. See the pricing page.

Strengths

  • Six engines plus ChatGPT Shopping in the open-source code.
  • MIT license. Use the cloud version or self-host it.
  • An MCP server lets AI assistants query your visibility data.

Limitations

  • A newer brand than the SEO suites on this list.
  • Self-hosting needs engineering time and a scraping service for AI answers.
  • Lower cloud plans cover fewer models, and Claude tracking is available on Enterprise plans.

2. Profound

Best for: enterprises that need many engines across languages and regions, under one contract.

Profound tracks up to nine engines on Enterprise: ChatGPT, Perplexity, Google AI Mode, Gemini, Copilot, DeepSeek, Claude, AI Overviews and Exa Search.

It runs prompts daily and keeps all-time history on Enterprise. Prompt Volumes shows what people actually ask AI.

Pricing: a free trial runs 50 prompts daily for 7 days on ChatGPT, Gemini and AI Overviews. Enterprise is custom.

Strengths

  • Includes DeepSeek and Exa Search, which few trackers cover.
  • Daily runs and all-time history on Enterprise.

Limitations

  • The trial covers only three engines, so you can’t test Claude or Copilot first.

3. LLM Pulse

Best for: agencies and global brands that need niche or regional models.

LLM Pulse includes ChatGPT, Perplexity, Google AI Overviews, Google AI Mode and Gemini on every plan. Claude, Copilot, DeepSeek, Meta AI, Naver AI Briefing and Baidu AI are among the paid add-ons.

Qwen, Mistral and Brave AI are available through sales. Agent Analytics also reports which AI crawlers and agents visit your site.

Pricing: the weekly Starter plan starts at 49 euros per month, with a 14-day trial for eligible new customers.

Strengths

  • The longest model menu we found, including Asian engines.
  • Connects to GA4 and other analytics tools for AI traffic.

Limitations

  • Claude and Copilot each add cost.
  • Daily tracking is priced separately from weekly plans.

4. AthenaHQ

Best for: teams that want to start free on five models and add more later.

AthenaHQ covers ChatGPT, Perplexity, Google AI Overviews, Gemini and Copilot on its free Essential plan. Paid plans add Google AI Mode, Claude, DeepSeek, Meta AI, Mistral and more.

It tracks prompt-level visibility and share of voice, plus sentiment and citations. It also connects to GA4 and Google Search Console.

Pricing: free Essential plan, Starter at $295 per month, and custom Enterprise pricing.

Strengths

  • Copilot is included even on the free plan.
  • Other models are available on request.

Limitations

  • Claude and AI Mode need a paid plan.
  • Credit-based pricing makes the monthly cost harder to predict.

5. Peec AI

Best for: teams that want to track a few chosen models closely.

Peec AI names ChatGPT, Perplexity, Gemini, Google AI Mode and Copilot on its site and docs. For each model it reports how visible you are, your position in the answer and the sentiment. Tags group related prompts.

Price is tracked prompts times active models times tracking frequency. You pay for the models you switch on.

Pricing: see the vendor’s pricing page.

Strengths

  • Easy-to-follow cost logic for each extra model.
  • Looker Studio connector, API and MCP server.

Limitations

  • Claude coverage isn’t stated on the site, so confirm before you buy.
  • Adding models raises the price quickly.

6. Otterly.AI

Best for: budget multi-model tracking with Copilot included.

Otterly.AI includes ChatGPT, Google AI Overviews, Perplexity and Microsoft Copilot on every plan. Gemini, Google AI Mode and Claude are paid add-ons.

It tracks mentions, average position and citations, and sends alerts when brand mentions change.

Pricing: from $29 per month for 15 prompts, with a free trial.

Strengths

  • Low entry price for four models.
  • A public API for prompts, reports and citations.

Limitations

  • The Claude add-on costs about as much as the Lite plan itself.

7. Semrush AI Visibility Toolkit

Best for: SEO teams that want model-level AI data next to keyword data.

The Semrush toolkit covers ChatGPT, Perplexity, Gemini, Google AI Mode and AI Overviews, according to Semrush. Claude and DeepSeek are on its enterprise AIO plan.

You also get an AI Visibility Score, prompt research with volume and intent, and daily prompt tracking.

Pricing: $99 per month as an add-on, with 25 tracked prompts and no free trial.

Strengths

  • AI and SEO data in one account.
  • Prompt tracking covers more than 220 countries and territories.

Limitations

  • Copilot isn’t on the listed models.
  • Claude requires the enterprise plan.

8. Ahrefs Brand Radar

Best for: comparing model-level visibility for a whole market.

Ahrefs Brand Radar covers AI Overviews, AI Mode, Copilot, Gemini, Perplexity, ChatGPT and Claude. Ahrefs lists about 269 million monthly prompts for AI Overviews and about 28.5 million for ChatGPT.

Custom prompts can run daily, weekly or monthly, and AI Analytics shows which pages get AI traffic.

Pricing: small custom prompt allowances on paid Ahrefs plans, plus a paid index add-on. See the vendor’s pricing page.

Strengths

  • Large per-model prompt sets without setup.
  • Claude is available in the index.

Limitations

  • Ahrefs counts one Claude update as 8 checks, so Claude tracking uses credits faster.

Which LLM visibility tools track Claude and Copilot?

Almost every tool covers ChatGPT, Gemini and Google’s AI features. The real differences are in two models.

Tool Claude Microsoft Copilot
Ansvisor Enterprise plans Yes
Profound Enterprise Yes
Ahrefs Brand Radar Yes Yes
AthenaHQ Paid plans Yes, from the free plan
LLM Pulse Add-on Add-on
Otterly.AI Add-on Yes, every plan
Semrush Enterprise plan Not listed
Peec AI Not stated Yes

Our open-source code covers Copilot, and Claude tracking is available on Enterprise plans. Coverage changes often, so check the plan page of any tool before you buy.

If you only need ChatGPT tracking, a narrower tool may be enough. For Claude, see our Claude visibility tracker, available on Enterprise plans.

Our data: the same brand across six AI engines

A brand’s share of voice can differ several-fold between AI engines in the same month.

We track prompts about AI search across ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Copilot and Perplexity. Over one month, that added up to 103,427 AI answers and 746,702 citations.

The engines also cite very different numbers of links.

AI engine Average links per answer
AI Overviews 13.7
Gemini 12.3
ChatGPT 5.2
AI Mode 4.8
Copilot 4.5

Traffic told yet another story. ChatGPT sent 87% of our AI-referred visits.

Source: Ansvisor tracking data, September 15 to October 14, 2026. One brand and one prompt set aren’t a benchmark. Still, the spread shows why you need numbers per model.

How should brands track mentions and citations across LLMs?

Track mentions and citations separately, and break both down by prompt, model, competitor and date. A mention means the answer names your brand. A citation means it links to a URL as a source.

Outcome What it means
Mention without citation The model knows your brand but uses other pages as evidence.
Citation without mention Your page informs the answer, but the credit goes to another brand.
Both The strongest outcome, and the one to protect when it appears.

For sentiment and how models describe your brand, see our list of AI brand visibility monitoring tools.

How often should LLM visibility be tracked?

Weekly tracking works for most prompt sets. Switch to daily runs around launches and active campaigns, and for high-value buying prompts.

Run the same prompts from the same location with the same settings. Then judge trends over several weeks. Single answers vary too much to read alone.

Which tools measure referral traffic from LLMs?

A mention doesn’t always produce a click. Pair answer tracking with referral data; several tools in this list connect the two.

LLM Pulse and AthenaHQ

LLM Pulse links GA4 and other analytics tools, and AthenaHQ connects GA4 and Search Console.

Ahrefs and Ansvisor

Ahrefs AI Analytics and our AI traffic analytics show which pages get AI visits.

Google Search Console

Search Console’s free generative AI performance reports show impressions in AI Overviews and AI Mode by page.

Bing Webmaster Tools

Bing’s free AI Performance report lists Copilot citations, but not clicks.

Not every AI-influenced visit carries a referral. Treat referral counts as a floor.

How to choose an LLM visibility tracker

  1. List the models your buyers use, and rank them by importance.
  2. Check which of those models each tool includes on the plan you can afford.
  3. Run the same 20 prompts in two tools during their trials.
  4. Compare per-model results and cited URLs. Note how plainly each tool shows change.
  5. Pick the tool your team will actually act on every week.

How Ansvisor helps you track visibility across LLMs

We keep results separate by engine, so you can tell whether a gap is specific to one model. One prompt set runs on every engine in your plan, from the ChatGPT visibility tracker to Gemini.

Every stored answer keeps its cited URLs, competitor mentions and sentiment. AI traffic analytics then shows which engines send visitors.

FAQ

What are the top tools to track AI mentions in LLMs?

Ansvisor, Profound, LLM Pulse, AthenaHQ, Peec AI, Otterly.AI, Semrush and Ahrefs Brand Radar track AI mentions across several LLMs. Ansvisor can also be self-hosted. Before you buy, compare which models each plan includes.

What is an LLM visibility tracker?

An LLM visibility tracker runs the same prompts in models such as ChatGPT, Claude, Gemini and Copilot. It logs mentions and citations per model, along with sentiment and competitors, and shows how they change over time.

Which LLM visibility tools track Claude?

Profound on Enterprise and Ahrefs Brand Radar include Claude. AthenaHQ includes it on paid plans, while LLM Pulse and Otterly.AI sell it as an add-on. Semrush offers it on its enterprise plan.

Why do ChatGPT, Gemini and Claude give different answers about my brand?

Each model has its own training data, retrieval system and source preferences. Answers also vary between runs of the same model. Track each model separately and measure how often you appear across repeated runs.

How often should you track LLM visibility?

Weekly tracking fits most prompt sets. Run daily around launches and campaigns, and for high-value buying prompts. Keep prompts and settings the same, and judge trends over several weeks.

AI visibility tracking should not stop at showing where your brand appears. The real value comes from understanding why the result happened, which sources influenced it, and what your team should do next.
Cihan Geyik, Co-founder at Ansvisor
About the Author
Cihan Geyik

Cihan Geyik

Co-founder at Ansvisor

Cihan Geyik is the co-founder of Ansvisor, an open-source, cloud-ready AI Visibility platform for AI Search. With more than 15 years of experience in digital marketing and growth, he writes about AI visibility, AI search, AEO, GEO, citations, and answer engines. He focuses on helping brands understand and improve their presence across ChatGPT, Gemini, Perplexity, Google AI Overviews, and other AI-powered discovery platforms.

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