8 best AI visibility tracking tools for 2026
A useful tracker should show where your brand appears, which questions it misses and what evidence you can act on. Here is how eight options approach that job, and which trade-offs deserve your attention.
· Reputably Editorial
Comparing AI tracking with a traditional SEO suite? Our AI rank tracking tools guide separates keyword positions from AI answers. Use the cost worksheet to compare the same workload across vendors.
AI rank tracking or traditional keyword tracking?
These are different buying decisions. Traditional rank trackers monitor a page’s position in search results for a keyword. AI visibility tools observe brand mentions, recommendations and cited sources in generated answers. Reputably serves the second task; it is not a conventional keyword-position tracker.
Our recorded searches show why the distinction matters: variants of “AI rank tracking” also led toward AI-assisted keyword monitoring. Choose the category that matches the outcome you need, then compare the AI Mode and AI Overviews workflows separately.
Which AI visibility tool should you choose?
Our shortlist is Reputably, Profound, Otterly.AI, Peec AI, Rankscale, Semrush, AthenaHQ and Scrunch AI. For local businesses and agencies, we would start with Reputably’s included live Claude web search, prompt variations and reputation workflows. For an established SEO team, compare Semrush with your current setup. For a larger content programme, investigate Profound, AthenaHQ or Scrunch.
The right AI ranking tool depends on the answers you need to measure. A tool that tracks ChatGPT is not automatically a Google AI Mode rank tracker, and a brand mention is not the same thing as a citation. If Google is your priority, use the dedicated AI Mode comparison or AI Overviews tracking guide.
Live Claude web search, included in every plan
Claude is part of Reputably’s core AI visibility coverage, with no separate engine add-on. We run your questions through Claude with live web search and record the answer, its disclosed searches, returned pages and citations. Combine that with three extra phrasings per question to see how recommendations change with the wording.
The collection method matters. Reputably uses the Claude Code plan path with web search enabled and no API fallback. This is not a browser replay of Claude.ai or a promise to reproduce a particular user’s personalised chat. API-based collectors can also search the live web; compare the method and plan inclusion instead of assuming the Claude logo means the same thing everywhere.
| Product | What the documentation establishes |
|---|---|
 Reputably | Live Claude web search included in every plan, within plan limits. Claude Code plan collector; no API fallback. |
 Otterly.AI | Claude is an optional engine add-on alongside AI Mode and Gemini. |
 Peec AI | The pricing matrix lists Claude Sonnet as an API option under Enterprise; it is not in the shown self-serve model selection. |
 Profound | Claude appears among Enterprise capabilities. Starter tracks ChatGPT only. |
 Ahrefs Brand Radar | Claude uses an API with web search for custom prompts; one Claude update consumes eight checks. Its documentation says no special add-on is required. |
These are specific packaging and collection differences, not a claim that competing tools lack useful Claude data. Ask for the exact model, web-search behaviour, limits and evidence before comparing results.
How we made this shortlist
Disclosure: Reputably publishes this guide and is included in the comparison. We reviewed the other vendors’ public product documentation on 14 September 2026; we did not run a controlled trial of their products. Reputably’s description draws on our product source review and local walkthroughs. Examples below are illustrative, not customer results.
We selected eight tools with public documentation relevant to recurring brand visibility measurement. We compared the unit being tracked, engine selection, source evidence and the work a team can do after reading the report. We give particular attention to local businesses and agencies, rather than declaring one winner for every company.
“Best fit” is our editorial judgment about a workflow, not a measured performance ranking. Plan inclusion can change. Use the linked documentation to confirm your exact requirements. Our editorial policy explains our sourcing and use of AI assistance.
Compare the tools at a glance
| Tool | Workflow to evaluate | Coverage / packaging check | Question for the trial |
|---|---|---|---|
| Reputably | Visibility plus mention and review workflows | Five answer surfaces; workspace limits apply | Can I compare the original prompt and its variations? |
| Profound | Topics, prompts and answer-engine analysis | Engine inclusion differs by plan | Can the report answer one of our team’s real questions? |
| Otterly.AI | Prompt and citation monitoring | Confirm engine inclusion and report cadence | Which data refreshes daily and which weekly? |
| Peec AI | Selected-model comparisons | Three selected models on listed self-serve tiers | What happens when we add a fourth engine? |
 Rankscale | Broad engine and market coverage | Verify the exact interface and market | Is this the experience our customers actually use? |
 Semrush AI Visibility Toolkit | AI tracking alongside SEO | Confirm the module and subscription | Is this custom tracking or a broad research index? |
 AthenaHQ | Content-gap investigation | Ask which engines and actions are included | What evidence supports this proposed content change? |
 Scrunch AI | Content and crawler diagnostics | Separate monitoring from site-delivery work | Can we inspect the answer behind this alert? |
The shortlist, with the trade-offs
Read these as a set of use-case recommendations. The order does not imply that we measured one vendor as more accurate than another.
Reputably
Live Claude web search is included in every plan. Reputably uses Claude’s plan-based collector with web search and captures the disclosed source trail, with no separate Claude engine add-on. Compare Claude coverage and collection methods.
Reputably tracks ChatGPT, Gemini, Claude, Google AI Overview and Google AI Mode. Its useful distinction is prompt coverage: an original buyer question can be expanded into three additional phrasings. Three complete prompt groups give you twelve wordings to compare.
Results connect brand mentions with competitors and cited pages. Retrieval searches are shown only where the provider discloses them. Mention monitoring and review workflows sit alongside that evidence. Choose a different shortlist if Perplexity or Copilot is essential: they are outside Reputably’s five tracked answer surfaces. Check current plans for workspace limits.
Best fit: Local businesses and agencies that want AI visibility alongside mention monitoring and review workflows.
Profound
Profound’s Answer Engine Insights groups tracked prompts into topics and tags, then reports visibility, citations, sentiment and share of voice. That structure is useful when several people need to investigate the same questions.
The pricing page makes an important distinction: Starter tracks ChatGPT, while broader engine coverage sits in other packages. Buy against the engines you need, not a product-wide logo list. This is a larger programme to evaluate than a quick brand check.
Best fit: Teams organising an ongoing answer-engine research and content programme.
Otterly.AI
Otterly.AI’s feature documentation describes daily prompt monitoring, brand reports, citation gap analysis, CSV exports and a Looker Studio connector. It lists AI Mode and AI Overviews as monitored experiences.
Its documented cadence is not uniform: prompt monitoring is daily, while link-position tracking is described as weekly. Confirm which report updates when. That matters if you want to assess a page change the next morning rather than at the end of the week.
Best fit: Small teams that want a focused monitoring and citation-reporting workflow.
Peec AI
Peec’s plans list daily tracking, unlimited users and prompt allowances, with three selected models on the self-serve tiers shown. AI Mode and AI Overviews appear among the available choices.
Count engines and projects before choosing a tier. Tracking both Google experiences uses two selections; adding several assistants changes the comparison. Do not mistake “available models” for “every model included”.
Best fit: Marketing teams comparing the same prompts across a selected set of engines.
Rankscale
Rankscale lists AI Mode, AI Overviews and a wider assistant set, with region and language targeting. It also distinguishes chat interfaces from raw model tracking.
That breadth is useful only if the collection method matches your question. Ask to see the exact engine, market and response behind a report. For a local service business, a relevant city-level check is more useful than an impressive worldwide total that misses the service area.
Best fit: Teams whose shortlist starts with a broad set of engines and markets.
Semrush AI Visibility Toolkit
Semrush’s AI visibility documentation connects brand research, competitor analysis and prompt tracking with its broader SEO tools. It is a sensible shortlist entry if your team already works there.
Keep the reports straight. Prompt Tracking measures configured questions in supported engines; a broad visibility overview answers a different research question. Ask which module, subscription and market are included in the proposed setup.
Best fit: SEO teams that already manage search performance in Semrush.
AthenaHQ
AthenaHQ’s product page describes finding cited websites and identifying gaps in how AI understands a business. That makes it worth evaluating when the person reading the report also owns the content backlog.
Ask for a demonstration that starts with one of your weak answers and ends with a specific proposed change. Then check whether your subscription includes that workflow and the engines you require. We have not benchmarked the quality of its recommendations.
Best fit: Teams looking for content-gap guidance as well as visibility measurement.
Scrunch AI
Scrunch documents content diagnostics, bot behaviour, reporting and its Agent Experience Platform. It is broader than a mention-counting dashboard.
Separate measurement from changes to how your site is served. A team may need monitoring first and technical implementation later. Ask what requires engineering work, which controls are included and how you can inspect the original answer behind an alert.
Best fit: Teams that need to investigate website access and content issues alongside AI mentions.
What an AI visibility tracker should actually measure
A percentage is useful only if you know what went into it. Ask a vendor to open one answer, show the recorded question and explain how that answer affected the score.
| Signal | What it tells you | What it does not establish |
|---|---|---|
| Brand mention | The answer names the business | That it recommends the business or links to its website |
| Owned-page citation | The answer links to one of your pages | That every brand mention came from that page |
| Recommendation position | Where the business appears in an ordered recommendation | A universal Google ranking or a result every user will see |
| AI referral visit | A detectable visit arrived from an AI service | The total number of people who saw the brand in answers |
Share of voice needs an explanation too. One tool may divide your mentions by all competitor mentions; another may report the share of answers containing your brand. Those are different calculations. Keep the prompt set, competitors and definition fixed before comparing months.
One prompt is a starting point, not a whole topic
A customer asking “Who fixes leaking showers in Newcastle?” may get a different answer from someone asking “Which Newcastle plumber should I call for a shower leak?” Both questions belong in the same buying situation. Changing the wording can reveal a gap that repeating one sentence misses.
Reputably adds three alternative phrasings to each original prompt. Three original prompts plus nine additional phrasings give twelve wordings when generation completes. Across five engines with one configured provider each, that would plan sixty answers for a run. Failed checks or fewer generated variations reduce the actual coverage; planned answers are not completed answers.
These are variations of the question you track. They are different from the extra searches an engine may perform while preparing an answer, often called query fan-out. More phrasings broaden the test; they do not make twelve answers a representative sample of every customer or prove what people search most often.
How local businesses and agencies should evaluate the shortlist
Bring three questions to a trial: one category recommendation, one service-specific request and one comparison a buyer would genuinely make. Include a named location when it changes who can serve the customer. Avoid putting your brand into every question; that makes it much easier to earn a mention without testing discovery.
For an agency, repeat this with two client locations. Check whether the data stays separate, whether the right people can access it and whether reports preserve the location and question. “Supports agencies” is too broad to answer those practical questions.
For a business owner, ask what happens after an unfavourable result. Can you inspect a misleading claim, a useful cited page or a competitor’s specific advantage? A clear next step is worth more than another score without an explanation.
Compare the cost of your workload, not the starting price
| Your question | Measurement needed | Evidence to inspect |
|---|---|---|
| Where does my page appear for a search keyword? | Conventional search-position tracking. | The keyword, market, device and observed results page. |
| Does an AI answer recommend my business? | Repeated answer collection for a fixed buyer-question panel. | The exact answer, context, engine and recommendation definition. |
| Which pages support the answer? | Citation analysis at answer and URL level. | The source link and the passage or claim it supports. |
| Do those appearances create useful visits? | Website analytics and verified conversion events. | Referrals, enquiries and registrations, kept separate from citations. |
A practical acceptance check before subscribing
- Run a small set of relevant unbranded questions under documented conditions.
- Open at least one positive answer and one answer where your brand is absent.
- Confirm that repeated links to one page do not inflate the count of citing answers.
- Find a failed or missing check and see how it affects coverage and denominators.
- Repeat the same panel before adding new topics; keep exploratory prompts separately labelled.
The fair AI visibility testing protocol provides a record template and suggested seven-, fourteen- and twenty-eight-day review points. These are evaluation checkpoints, not promises about how quickly an engine will discover or cite a page.
Write down your questions, their variations, engines, markets and checking frequency. Then ask each vendor to price that same workload. A plan with fifty prompts on one engine is not directly comparable with fifty prompts across five engines.
- Are extra phrasings included in a parent prompt or charged as additional prompts?
- Does adding an engine, market or client use a separate allowance?
- How much history can you inspect and export?
- Does the plan include the recommendation or reporting workflow shown in the demo?
- What happens to failed checks and retries?
Start with a small set of high-value questions you can actually act on. Expanding a weak prompt library just gives you more weak measurements.
Use citation evidence to improve the page that answers the question
Suppose a competing guide is cited for “best AI ranking tools” but your site only has a feature page. That suggests a missing buyer task: comparing options. It does not prove that copying the cited page’s keywords will earn its citations.
Read the cited material, identify the decision it helps with and create a better-supported answer for your audience. A useful comparison names the trade-offs, explains its criteria and links to the evidence. Keep facts such as supported engines and plan limits current. Add original examples or research when you have them; label illustrations clearly when you do not.
Google’s guidance for AI features says ordinary SEO foundations still apply and no special AI markup is required. Make the page accessible to crawlers, easy to find through internal links and clear in its visible text. Then follow the same prompt set over time and track citations separately from traffic and enquiries. A crawler visit alone does not establish a recommendation.
Sources and verification
Official pages checked on 14 September 2026. Links appear beside the claims they support; this list makes the review easy to revisit.
- AI features and your website — Google Search Central
- Reputably AI visibility tracking — Reputably
- Answer Engine Insights overview — Profound
- Profound pricing — Profound
- Otterly.AI features — Otterly.AI
- Peec plans and model selection — Peec AI
- Rankscale platform — Rankscale
- AI visibility features — Semrush
- Prompt Tracking — Semrush
- AthenaHQ platform — AthenaHQ
- Scrunch platform — Scrunch
- Claude engine add-ons — Otterly.AI
- Claude collection method in Brand Radar — Ahrefs
Questions about AI visibility tracking tools
What is an AI visibility tracking tool?
An AI visibility tracking tool records how a brand appears in AI-generated answers for a defined set of questions or a research dataset. Useful reports distinguish brand mentions, recommendations, citations, competitors and the conditions under which each answer was collected.
Are AI ranking tools the same as SEO rank trackers?
Not necessarily. SEO rank trackers usually measure positions in search results. AI ranking tools may measure brand mentions, recommendation order or citation placement inside an answer. Check the definition of position and the exact engine before comparing scores.
What is the difference between AEO and GEO tools?
AEO tools support measurement and improvement for answer engines. GEO tools focus on generative answers. Vendors often use both labels for overlapping capabilities, so compare the actual engines, evidence and workflows rather than choosing by the acronym.
Can a tool guarantee that AI recommends my business?
No. Tracking can show observed answers and help identify useful improvements, but the answer engine controls what it returns. Results can change with wording, market, timing and the collection method.
How many prompts should a small business track?
Start with a manageable set covering the buying decisions that matter to the business, then include alternative phrasings. Three complete Reputably prompt groups contain three originals and nine extra phrasings. That is broader wording coverage, not a statistically representative survey of all customers.
Does Reputably include live Claude tracking?
Yes. Live Claude web-search tracking is included in every Reputably plan, within its usage limits. The collector runs Claude through the Claude Code plan path with web search and records the answer, disclosed searches and citations. It does not use an API fallback or replay a browser session on Claude.ai.
Check whether the answer cites you or recommends you
A tracker should let you inspect the answer behind its score. A link to your comparison guide might support a description of another product. That makes your page a source, but it does not mean the answer recommended your business.
| Outcome | What to look for | What it tells you |
|---|---|---|
| Website citation | A link to a page on your domain. | Your content was used as a source. |
| Brand mention | Your brand appears in the answer text. | You were named; read the context before calling it a recommendation. |
| Product recommendation | The answer presents your product as an option for the requested job. | You entered that answer's shortlist; it still isn't evidence of a visit or sale. |
For example, an answer could cite your guide while recommending two competitors. Record the citation and the absence of your product from the shortlist separately. Keep the question, engine, market and run date attached so a later comparison measures the same thing.
Missing or failed runs also need to stay separate from completed answers that omit your brand. Use the fair AI visibility test guide to compare a stable prompt set over time instead of treating one answer as a trend.