AI Visibility
Which questions mention you, and in which assistant's answer. Every assistant is measured on its own: showing up in one says nothing about the next.
AI Visibility Analysis
Your customers are asking ChatGPT, not Google. Do you show up there?
6 questions × 2 assistants = 12 measurements
After the scan you'll see: which questions mention you, where you rank in the answers that do, and which brands appear in those same answers.
The free scan runs in any language, but its on-screen result and PDF report are currently written in Turkish.
Your buyer used to get ten blue links from a search box. Asking an assistant returns a single answer. Whether you are inside that answer is a measurable thing.
We wrote one of these up in detail:
Which questions mention you, and in which assistant's answer. Every assistant is measured on its own: showing up in one says nothing about the next.
Being mentioned and being recommended are not the same thing. Where you rank in the answer and the tone you are named in are counted separately.
The brands recommended in your place come out of the same answers. You don't supply the competitor list.
Factually wrong statements an assistant makes about your brand are flagged separately. A finding independent of visibility, and usually more urgent.
Your domain is all we need. No account required.
Questions a real customer would ask are put to each assistant separately, without your brand name appearing in them.
Your visibility, your recommendation standing and your competitor gap turn into numbers from those same answers.
Our own measurement
The Turkish sports nutrition market
20
neutral questions
4
AI systems
80
measurements
We measured the market, not a brand, and this is what came out:
6 questions × 2 assistants = 12 measurements
A first visibility check. No account required.
40 questions × 4 assistants ≈ 160 measurements
A detailed brand analysis: per-question breakdown, competitor table, incorrect-information detection and recommendations.
12 Full Scans across a twelve-month period
The same measurement spread across twelve monthly periods, so you read direction from a series instead of a single snapshot.