Free AI Visibility Checker: Test Your Brand in 15 Minutes

Yes, and the manual check tells you the most. Ask five to ten buyer questions that never name your brand, three times each, in a clean session, and log who is named, who is cited and in what order. Five questions on one engine take about 15 minutes and cost nothing. Free tools speed up a first pass, but each measures something different, so check what yours tests before trusting its score.

Can you check your AI visibility for free?

Yes. Three kinds of check cost $0: a manual test you run yourself, a free automated scan, and the data Google and Microsoft already give site owners.

AI visibility is the frequency and prominence of brand mentions in generated responses, as researchers measure it. "Free" here means no card, no sales call and no account. A trial is not free, and a "checker" that wants your phone number before showing a result is a lead form. Lists of "free AI SEO tools" mostly cover keyword, writing and content tools; this guide covers the checks that show whether AI engines name you.

How do you run a 15-minute manual check?

Write five to ten unbranded buyer questions, ask each three times in a clean session and log every answer. Five questions on one engine take about 15 minutes.

1. Write questions a stranger would type. Cover category ("best [category] for [use case]"), comparison ("[competitor] alternatives"), constraint ("[category] that [requirement]") and criteria ("what to look for in a [category]"). Add your city if you serve one. Never include your brand name: asking about it tests recall, not recommendation. Start from real phrasing in Search Console queries.
2. Start clean. Use a signed-out window or a private mode: ChatGPT's Temporary chat set to Unpersonalized, Claude's incognito chat (it does not use Claude's memory) or Gemini's Temporary chat (it does not personalize responses). Your own history flatters you.
3. Test what buyers see. On each engine your buyers use, test the free default model, not your paid one, and note whether web search ran. In a University of St. Gallen preprint (Swiss-market prompts, repeated runs, March 2026), 57.8% of ChatGPT runs returned no citations, because it searches only for some queries. An answer without sources probably came from memory. Google AI Overviews often don't trigger, so none appearing is a result.
4. Ask each question three times, each in a new chat. In that preprint, cited-source sets overlapped by only 34–42% between consecutive days. Its subsampling analysis puts the 95% interval on how often a brand is named at about ±37 points after three runs and ±16 after seven, and the authors advise at least seven runs per prompt per day. Treat three as a smoke test: enough to expose flicker, not to give you a rate.
5. Log and tally. Copy the template below, write "named in 2 of 3" per question, and count which competitors recur. That list is the most useful output.

Which free AI visibility checkers exist?

Several, and they test three different things: a stored prompt database (Semrush, Ahrefs), live questions (AEOeye, AERank) or what models remember about your brand (HubSpot). Read the method before the score; the numbers are not comparable. Details come from each vendor's own public page, checked 2026-10-03, not from hands-on testing.

The database tools report aggregates for prompts they chose, not yours. Prefer a check that shows the answer text, the one part you can verify yourself.

What can a free check tell you, and what can't it?

A free check shows whether you are named for the questions you tried, who is named instead and which pages get cited. It cannot give you a stable rate, your buyers' real phrasing or a trend, so treat it as a smoke test: a clear failure is informative, a lucky pass is not.

• Your buyers' questions. Your questions are a sample, and Google says AI Overviews and AI Mode may fan one question out into several related searches, so answers rest on queries you never typed.
• Direction or cause. One snapshot shows neither. Re-run monthly, and read the cited sources: they are the nearest thing to a reason.

For scale, in AEOeye's audit records (127 completed audits, 27 brand names, June to September 2026) the audited brand was named in 157 of 892 engine answers, or 17.6%. The sample is self-selected, engine samples are unequal and not comparable, and four of five engines have under 10 mentions, so treat it as scale, not a market rate. When a brand was named and ranked, it came first in 71.4% of 147 ranked mentions, and answers named 2.9 competitors on average (aggregates file). Being named at all is the hard part.

What does "AI citation checker" mean?

It means two different jobs: verifying the citations an AI gave you, so you do not repeat an invented source, or checking whether AI engines cite your site.

Verifying citations an AI produced. Open every link behind a claim you will repeat, confirm the page exists and says what the AI says it does, and check author and date separately. A 2023 Scientific Reports study found 55% of GPT-3.5 and 18% of GPT-4 citations were fabricated (636 checked); those are older models, but the lesson stands. The Tow Center's 2025 test of eight AI search tools found incorrect answers to more than 60% of queries tracing news excerpts to their source, plus fabricated links.

Checking whether AI cites you. This is the manual test above with the "cited" column filled in. A mention names your brand in the answer text; a citation links your page as a source. Log them separately, because an engine can name you without linking you, and link you without recommending you. For longer-term tracking, see what AI citation tracking is.

What should you do with the result?

Match the pattern to the fix: absent, borderline, uncited and misdescribed each need a different move. Then repeat the identical test monthly, with the same questions, engines and run count, to tell change from noise.

Rule out access first. OpenAI recommends allowing OAI-SearchBot in robots.txt, and allowing its published IP ranges, to appear in ChatGPT search answers.

If you need more than a free check gives, AEOeye's full report ($29 one-time as of October 2026, no subscription) adds Claude, Gemini, Google AI and Perplexity and widens the audit to ten questions. Daily tracking across hundreds of prompts is what dedicated trackers such as Profound, Peec AI and Otterly do; see our tracker comparison and measuring AI visibility for trade-offs and metrics. Our free llms.txt generator builds the file; we publish one because it is cheap, not because we have seen it move citations.

Re-run the test next month with identical questions: the second dated log is worth more than any score.