What are you trying to find out?

Your buyers ask ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews who to use before they ask you. See which answers name you, which name a competitor instead, and the specific reason it is not you.

Free to run on your own domain, in about two minutes.

Which organisations receive a visitor's data before anyone agrees to anything, which country they sit in, and what loads on one page view with no consent clicked. It reports what is there. It is not a compliance assessment and does not pretend to be one.

Your domain never goes to a commercial data broker: the lookups run against a local copy of the internet registries.

AI answers are built on what search engines can already read. This is the technical layer underneath AI visibility: whether an engine can reach the page, parse it, and quote it.

It found a robots.txt rule on this very site that was blocking our own services page from every AI crawler. We fixed it the same morning.

When an engine answers a question your buyer asked and names somebody else, the useful information is who, on which questions, and on which engines. Not a share-of-voice score: the actual names, against the actual questions, so you can read the answer they won with.

Runs on every audit. The rival names come out of the answers themselves, not from a list we guessed at.

These are different outcomes with different causes and different fixes. Being named is reputation: the engine knows who you are. Being cited is traffic: the engine sends the reader to your page. A brand can be named constantly and cited never, and the work to fix each one is not the same work.

Both are counted separately on every run, per engine, from the citations in the answers.