Help centre

How AI visibility works, how to read your results, and what to do about them.

Getting started

What AI visibility actually means — Why being recommended by ChatGPT is a different problem from ranking on Google, and what we measure instead.
Setting up your first brand — The three things to get right at setup, and the one that people usually get wrong.
Writing prompts that match real questions — The single highest-leverage thing you control. Most accounts get this wrong on the first try.
Reading your Overview — What each panel is telling you, and which one to act on first.

Visibility, Authority and Position — what each one means — Three numbers that sound similar and answer completely different questions.
Why other people's websites decide your AI visibility — We measured our own category and found 93.6% of citations pointed somewhere other than the brand's own site.
Why your sentiment score is probably 50 — Neutral is the normal result, not a bug — and here is what would change it.
Why your score moved (or didn't) — The usual explanations, in the order worth checking.
Why the assistants disagree with each other — Different sources, different training, different recency. Disagreement is information.

llms.txt, explained — What it is, what it is not, and whether it is worth your time.
robots.txt and AI crawlers — Which bots matter, and the one mistake that makes everything else pointless.
The schema markup worth adding — Three types, in the order they pay off — and the mistake that gets pages penalised.
What to do when the fix isn't on your website — The uncomfortable answer, and a practical order to work through it.

Plans, and choosing your AI assistants — What differs between plans, and how to pick your engines if your plan lets you.
How monthly checks are counted — One per brand per calendar month, shared between manual and automatic runs.
Roles and team access — Who can see what, and which role to give the person who implements the fixes.