ConfirmedDeterministic technical checks
Crawler access, robots.txt, /llms.txt, metadata, structured data.
These either pass or they do not.
Example
robots.txt blocks a known AI crawler
A free diagnostic, explained
AI search visibility checker: what it tests and how to read the results.
Not every "checker" tests the same things, and not every result means what it looks like it means. See the three kinds of evidence a legitimate checker should keep separate, and what none of them can promise you.
Run the checker described below for free. If it turns up real problems, the Expert Action Plan ranks them by impact with exact fix instructions.
DirectionalEntity and content signals
How clear your company, product, and category actually are.
Judgment, not a measured fact.
Example
Pricing page never states who it's for
ObservedPoint-in-time AI prompt testing
Fixed prompts run against a real AI system, right now.
A moment, not a permanent ranking.
Example
Brand missing from today's Gemini test
Watch it first
The free audit in 30 seconds.
The free audit
Paste a URL. See what search and AI can understand.
The audit reads your public pages the way a crawler and an AI assistant would, then shows what they can and cannot tell. It only scans publicly accessible pages, with no login or card required.
Growthract · New audit
Discovery surfaces
Where software evaluation happens
ChatGPT
Perplexity
Claude
Gemini
Google AI Overviews
Microsoft Copilot
Reddit
YouTube
Quora
Growthract researches technical visibility across ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, Microsoft Copilot, Reddit, YouTube, and Quora. Displayed platforms do not imply partnership or endorsement. Growthract Audit’s live response test currently runs on Gemini only.
What a checker should test
Three kinds of evidence. Never blended into one score.
A factual technical failure, a content judgment, and a point-in-time AI observation are three different kinds of evidence. A checker that compresses them into a single number is hiding the part you actually need to see.
Confirmed
Deterministic technical checks
Direct, repeatable checks against your live website: crawler access and robots.txt rules, initial HTML and server-rendered content, canonical and metadata consistency, structured data, and optional /llms.txt availability. The file check is informational; Google says llms.txt is not a Search or AI Overview signal.
Example: robots.txt blocks a known AI crawler.
Directional
Entity and content signals
An assessment of how clearly your company, product, and category come across, and whether priority pages actually answer the questions buyers ask. This is judgment, not a measured fact — useful for prioritizing what to look at, not for treating as proof.
Example: your pricing page never states who the product is for.
Observed
Point-in-time AI prompt testing
A small set of fixed prompts run against a real AI system, recording whether your brand or a chosen competitor appears and what the response actually says. This is evidence from that specific moment, not a permanent ranking or a guarantee of future results.
Example: your brand did not appear in a tested Gemini response today.
What it cannot tell you
A checker reports a moment. It cannot promise the next one.
No legitimate checker can guarantee that ChatGPT, Gemini, Perplexity, Google AI features, or another third-party system will rank, mention, recommend, or cite a company in the future.
Re-crawling, indexing, citation selection, recommendation behavior, and response generation all remain controlled by external platforms. A result of "not mentioned today" is not a permanent verdict, and a result of "mentioned today" is not a guarantee of tomorrow.
That is why a checker's job is to separate what it actually observed from what it hopes will happen next — and why the deterministic technical findings, which you can fix directly, deserve more weight than any single prompt response.
A checker, in action
What actually happens when you run one.
Growthract Audit's free diagnostic is a working example of the three-category model above, not a separate methodology.
Run Free Audit01
Enter your public URL
No login, no repository access, no production credentials. Just the website you want checked.
02
A read-only scan runs
Crawler access, initial HTML, metadata, and structured data are checked directly. Optional /llms.txt availability is reported separately and is not treated as a Google ranking signal.
03
Entity and content are reviewed
The scan assesses how clearly your company, product, and category come across on priority pages.
04
A fixed prompt set is tested
A point-in-time Gemini response check records whether your brand or a competitor appears.
05
Findings stay separated
Confirmed, directional, and observed results are labeled as what they are, not merged into one score.
The audit is read-only. Findings describe what Growthract can observe at scan time and do not guarantee indexing, citations, mentions, rankings, or recommendations from third-party systems.
A checker is a starting point, not the finish line. For a more structured diagnostic that organizes findings into prioritized, explained conclusions across five layers, see the AI visibility audit. Once you know what is actually wrong, work through the six-step improvement framework to fix it, and use Growthract's AI search visibility tracking to see whether it worked.
Where this fits
Tool
What it does
Best used when
What it doesA fast, free, read-only scan that surfaces individual technical, entity, and prompt findings.
Best used whenYou want a quick first look before committing to anything deeper.
What it doesA structured diagnostic that organizes findings across five layers into prioritized, explained conclusions.
Best used whenYou need a defensible baseline, not just a raw findings list.
What it doesA six-step, ordered checklist for fixing what a checker or audit found.
Best used whenYou already know what is wrong and need to work through fixing it.
What it doesRepeatable prompt testing that compares mentions, competitors, and citations over time.
Best used whenYou want to know whether your fixes actually changed anything.
See it for yourself
Run the checker. Read the findings for what they actually are.
Get a free, read-only scan of your public website. If the evidence points to real problems, the Expert Action Plan ranks your top 5–8 issues by impact with exact fix instructions, delivered within 48 hours.
Frequently asked questions
AI search visibility checker: FAQ
What is an AI search visibility checker?
An AI search visibility checker examines the signals that can affect or reveal visibility in AI search. A legitimate one keeps deterministic technical checks, judgment-based entity and content review, and point-in-time AI prompt observations separate instead of blending them into a single score.
Is a free AI visibility checker accurate?
The deterministic technical checks — crawler access, metadata, structured data — are as accurate as any direct inspection of a live website. The AI prompt testing is accurate only as a record of what a specific system said at a specific moment; it is not a stable measurement, since AI outputs can vary between runs and change over time.
How often should I re-check my AI search visibility?
Re-check after any meaningful website, content, or positioning change, and on a regular interval otherwise, such as monthly. Because point-in-time prompt testing can vary run to run, a single check is a snapshot; a pattern across repeated checks is more informative than any one result.
Is an AI search visibility checker the same as an AI visibility audit?
They overlap but are not identical. A checker is typically a fast, free, read-only scan that surfaces individual findings. An audit is a more structured diagnostic that organizes those findings — along with deeper entity, content, and evidence review — into prioritized, explained conclusions.
Does Growthract guarantee AI citations or rankings?
No. No legitimate checker can guarantee how ChatGPT, Gemini, Perplexity, Google AI features, or another third-party system will rank, mention, recommend, or cite a company. A checker can only report what it observed at scan time — not what will happen next.