Ask three AI engines. See if any says your name.

What this check actually measures

When someone asks an AI assistant "what are the best options for X" and your category is X, either you're in the answer or you aren't — and no dashboard you own will tell you. This check derives one category question from your homepage's own words, asks Claude, GPT and Gemini the same question cold — no site context, no hints — and detects your name in each answer deterministically. We never ask a model whether it mentioned you; models answer that question agreeably.

How to read the result

Named in some answers

You have unprompted recall with at least one engine, in this sample. One sample is a snapshot: the same question re-asked can differ, which is why the real measurement is repeated sampling with a confidence interval.

Named in none

Common, and diagnosable. The likely-reason line checks your robots.txt: an engine whose crawler you block has less of your site to learn from. Beyond access, recall follows from being cited and described consistently where engines read.

An engine that didn't answer

Reported as unmeasured, never as a miss. A provider outage is a fact about the provider, not about your visibility — the summary counts only engines that answered.

Why it matters for search — and for AI answers

Unprompted recall is the strictest test of AI visibility: retrieval can be won page by page, but being named cold means the engines' models already associate your brand with your category. It's the AI-era analogue of branded search — and the question this whole category of tooling ultimately sells on.

What the full product adds

The product's Recall stage tracks a curated set of category prompts, samples each engine repeatedly, and reports a rate with a Wilson confidence interval — withheld entirely when the sample is too noisy to mean anything. One question, once, is the free taste of that measurement.