AI visibility tools: what they measure and which to use

Four different questions sit behind most searches for an AI visibility tool. Are we mentioned when people ask AI assistants about our category? Can AI systems actually read our site? When we are cited, does it bring visits? And what are people asking in the first place? Each question needs a different kind of tool, and no single product answers all four equally well.

This comparison is organized by those four jobs rather than by vendor. For each job it explains what to measure, which tools do it, and what to look for. Vendor details were checked on their own pages on November 3, 2026. If you want a vendor-by-vendor table instead, see generative engine optimization tools compared.

What does an AI visibility tool measure?

An AI visibility tool measures how often AI systems such as ChatGPT, Perplexity, Gemini, Copilot and Google’s AI features mention your brand or cite your pages, usually across a fixed set of prompts and against competitors. Some tools instead measure the preconditions for AI visibility: whether AI crawlers can reach your pages and whether those pages can be quoted.

Job 1: Monitoring — are we mentioned in AI answers?

The question: for the prompts our buyers use, how often does each AI platform mention us, cite us, or recommend a competitor instead?

What to measure: mention rate, citation rate (your page linked as a source), share of voice against named competitors, and the domains cited in your place. Sentiment and position in the answer are useful extras.

Tools that do this job:

• Dedicated prompt trackers. Otterly.AI (from $29 per month), LLMrefs ($79), Peec AI (from $95), AthenaHQ (free tier, then $295) and Scrunch (from $250 billed annually) all run your prompts on a schedule across several platforms.
• Add-ons to SEO suites. Semrush’s AI Visibility Toolkit ($99 per domain), Ahrefs Brand Radar ($50 for custom prompts or $199 for its AI Visibility Index, on top of a paid Ahrefs plan) and SE Ranking (AI tracking included from its $129 Core plan).
• Enterprise platforms. Profound, priced on request, covers up to nine engines.
• Free snapshots. Ahrefs’ free AI visibility checker and HubSpot’s AEO Grader give a one-time read, useful for a first look or a competitor check but not for tracking change.

What to look for: control over your own prompt set, mentions and citations reported separately, the platforms your audience uses included in the plan you are pricing, and exports. Answers vary from run to run, so a tool’s value is the trend over many prompts, not a single score.

Job 2: Auditing — can AI systems read our site?

The question: is anything technical stopping AI crawlers from fetching, rendering or quoting our pages?

What to check: robots.txt rules for AI search, user and training crawlers; CDN or firewall rules that block AI user agents even when robots.txt allows them; content that only appears after JavaScript runs; nosnippet or max-snippet:0 directives, which also limit Google’s AI features; and the Search generative AI setting in Search Console.

Tools that do this job:

• Seouch. Our AI visibility checker tests robots.txt rules for 17 AI crawlers, requests the page with several AI crawler user agents to expose firewall blocks, and scores on-page readiness signals. The robots.txt tester checks any URL against each crawler, and the free audit includes an AI readiness score alongside search health.
• Semrush AI Visibility Toolkit, which includes an audit for AI crawler blockers.
• Cloudflare AI Crawl Control, for sites on Cloudflare. Cloudflare says it is available on all plans and shows which AI services access your content, lets you allow or block individual crawlers, and tracks which crawlers follow your robots.txt directives (Cloudflare docs).
• Your server logs, the definitive record of which crawlers arrived and what status they received.

What to look for: coverage of search, user-triggered and training crawlers as separate groups, because blocking each has different consequences. The robots.txt for AI bots reference sets those out.

Job 3: Citation and traffic tracking — are we cited, and does it bring visits?

The question: in real platform data, how often do our pages appear or get cited, and how many visits follow?

Tools that do this job:

• Google Search Console. The Search generative AI reports show impressions in AI Overviews, AI Mode and generative features in Discover, by page, country, device and date, with no query data (Google Search Central blog). Google says clicks from AI Overviews and AI Mode are counted in the standard Performance report under the Web search type (Google Search Central).
• Bing Webmaster Tools AI Performance. Total citations, cited pages and a sample of grounding queries for Copilot, Bing’s AI summaries and select partners. It does not report clicks (Bing Webmaster blog).
• Your analytics. Referrals from chatgpt.com, perplexity.ai and other assistants’ domains. ChatGPT usually tags links with utm_source=chatgpt.com.
• Bot and agent analytics. Ahrefs lists its Bot Analytics as free while in beta, and Profound’s agent analytics reports how bots view, cite and refer traffic to your pages.

What to look for: this is the only job where you get the platforms’ own numbers rather than a sample, so set it up first. Expect citations to outnumber clicks by a wide margin; many people read an AI answer without opening its sources.

Job 4: Prompt research — what are people asking AI?

The question: which questions do people put to AI assistants in our category, and how often?

This is the weakest-evidenced job. No third-party tool sees real ChatGPT or Gemini conversations, so prompt volume figures are estimates built from other data.

Tools that do this job:

• Profound’s Prompt Volumes, which Profound says is drawn from real user conversations with AI.
• Semrush’s prompt research inside the AI Visibility Toolkit, and Ahrefs Brand Radar’s AI Visibility Index, built on Ahrefs’ own prompt index.
• LLMrefs, which reports the fan-out queries it observes for tracked prompts, and Rankscale, which includes prompt research on its plans.
• Free first-party hints: Bing’s grounding queries show the phrases Copilot used to retrieve your content, and long question-style queries in Search Console show how people phrase questions in Google.

What to look for: an explanation of how volume estimates are produced. Our view: use prompt research to choose which prompts to monitor, and do not treat its numbers as you would keyword search volume.

Which tools cover which jobs?

Tool	Monitoring	Auditing	Citations and traffic	Prompt research
Google Search Console	—	Partly (indexing, URL inspection)	Yes (impressions)	Partly (query data)
Bing Webmaster Tools	—	Partly (indexing)	Yes (citations)	Partly (grounding queries)
Seouch AI visibility checker	Partly (mentions check with email)	Yes	—	—
Cloudflare AI Crawl Control	—	Yes	Partly (crawler requests)	—
Semrush AI Visibility Toolkit	Yes	Partly (crawler blockers)	—	Yes
Ahrefs Brand Radar and Bot Analytics	Yes	Partly (bot analytics)	—	Partly (prompt index)
Profound	Yes	—	Partly (agent analytics)	Yes
SE Ranking	Yes	—	—	—
Otterly.AI, Peec AI, Scrunch, AthenaHQ	Yes	—	—	—
LLMrefs	Yes	—	—	Partly (fan-out queries)

“Partly” means the tool covers some of the job but not all of it. A dash means we found no such feature on the vendor’s pages, not that one can never be added.

A starting stack by budget

• No budget: Search Console and Bing reports, analytics referrals, a crawler access audit, Cloudflare’s controls if you use Cloudflare, and 20 prompts you run by hand each month in a spreadsheet.
• Under about $100 a month: add one entry-level tracker sized to your prompt set, or your existing SEO suite’s add-on if you already pay for one.
• A team budget: a tracker with broad platform coverage and several markets, plus prompt research if content planning depends on it. Trial on your own prompts before signing an annual contract.

What to do next

Set up Job 3 first, because it is free and it is the platforms’ own data. Run a Job 2 audit next, since a crawler block makes every other number meaningless. Then write the prompt set that Job 1 depends on, and only after that decide whether a paid tracker earns its cost. For the practical side of improving the numbers once you are measuring them, read how to get cited by ChatGPT and the AI visibility guide.

Frequently asked questions

What is an AI visibility tool?

An AI visibility tool measures or improves how often AI systems such as ChatGPT, Perplexity, Gemini, Copilot and Google's AI features mention and cite your brand. The category covers prompt trackers, technical audits of AI crawler access, first-party citation reports and prompt research tools.

What is the best free AI visibility tool?

It depends on the job. For first-party data, Google Search Console's generative AI reports and Bing Webmaster Tools' AI Performance report are free and come from the platforms themselves. For a quick look at brand mentions, free snapshot checkers exist from Ahrefs and HubSpot. For crawler access, use a robots.txt and fetch-as-bot audit.

How is AI visibility measured?

Usually as the share of a fixed set of prompts in which your brand is mentioned or your pages are cited, compared with competitors and tracked over time. First-party reports add impressions in Google's AI features and citations in Copilot. None of these measure every real user conversation.

Do I need a paid AI visibility tool?

Not at first. Free first-party reports, analytics referrals, a crawler access audit and a manual monthly prompt set cover the basics. A paid tracker becomes worth it when you need daily data, many prompts, several markets or competitor benchmarks that are too slow to collect by hand.