AI Visibility Checker

A growing share of buyers research inside AI chat interfaces before they ever visit your site. Find out whether you're the brand these systems recommend, or invisible entirely.

AI Visibility Checker

Live

One scan: a live crawl of your pages and a probe of your machine-readable interfaces, merged into a single picture of whether answer engines and agents can find, read, cite and act on your site.

Your site

Website address

Crawls up to five pages and probes around fifteen well-known paths plus a DNS record. Usually fifteen to thirty seconds.

Prompt generator

Fills in the questions to paste into each answer engine. Works with or without the scan.

Brand name

Test your actual citation rate

Paste each prompt into the engines below and record whether you were mentioned. Fifteen minutes gives you a real baseline, and this is the only way to get one without model API access.

ChatGPT Perplexity Google AI Mode Claude

Add your brand and category first

The prompts below are generic placeholders until you fill in the brand and category fields on the left, at which point they become the specific questions worth testing.

Category discovery

The highest-value test. If you are not named here, you are invisible at the moment buyers are forming their shortlist, before they know any brand names to search for.

Brand knowledge

Tests whether the model knows you exist and describes you accurately. Wrong details here are worse than absence, because they propagate into every answer that mentions you.

Comparison

Where deals are actually influenced. The model's framing of the comparison becomes the buyer's framing, and if you have not published your side of it, the competitor's version is the only one available.

Problem-led

How most people actually reach an answer engine: with a problem rather than a category name. Being cited here reaches buyers who do not yet know your category exists.

How to read the results

Score each prompt three ways: were you mentioned at all, were you described accurately, and were you cited with a link. Absence from category-discovery prompts is the most expensive gap, because it happens before the buyer knows any brand names to search for. Inaccuracy is the second, because a wrong description propagates into every future answer. Re-run the same set monthly; the trend matters more than any single result, since these models change constantly.