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 Quick Fix Report ranks them by impact with exact fix instructions.
Discovery surfaces
Where software evaluation happens
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. Search Operator’s live response test currently runs on Gemini only.
What a checker should test
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.
Direct, repeatable checks against your live website: crawler access and robots.txt rules, /llms.txt availability, initial HTML and server-rendered content, canonical and metadata consistency, and structured data. These either pass or they do not — there is no judgment call involved.
Example: robots.txt blocks a known AI crawler.
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.
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
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
Search Operator's free diagnostic is a working example of the three-category model above, not a separate methodology.
Run the Free CheckerNo login, no repository access, no production credentials. Just the website you want checked.
Crawler access, /llms.txt, initial HTML, metadata, and structured data are checked directly against the live site.
The scan assesses how clearly your company, product, and category come across on priority pages.
A point-in-time Gemini response check records whether your brand or a competitor appears.
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
See it for yourself
Get a free, read-only scan of your public website. If the evidence points to real problems, the Quick Fix Report ranks your top 5–8 issues by impact with exact fix instructions, delivered within 48 hours.
Frequently asked questions
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.
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.
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.
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.
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.