AI is the new word of mouth. What is it saying about you?
Buyers ask. The model answers — with total confidence, and often with misinformation: sources misquoting you, or your own data gone stale. We read the answer, trace its sources, and hand you the plan.
This already happened.
The Evidence–Prior Gap.
From the session above — one insurer, five years of regulator data, zero recognition:
GAP
Every audit does three things.
We make the model talk. Every brand in your category gets one word. We find yours — and every rival’s.
Every verdict has a paper trail. We name each source — the sites misquoting you, and the stale data you published yourself.
Models believe what’s structured and repeated. You get the playbook — narratives, comparisons, fixes — aimed at the sources that built the belief.
Down to the page level.
Your product pages are what models quote. If a bot can’t read them, you lose every “best X” question by default — no matter how good the product is.
Can a crawler get in? Is your data structured? Does your product page render blank to a bot? Is your best proof locked in PDFs no model reads? We test all of it — and hand you the fixes.
Paste any draft — a page, a post, product copy — and see how AI will treat it before it ships: the prompts it surfaces on, whether a bot can read it, whether an answer engine would prefer it.
Visibility tools count mentions. We read the belief.
A tracker tells you “you appear in 22% of answers.” Appear as what? Believed to be what, by whom, fed by which sources? A count can’t say. A sentence can — and every sentence comes with a paper trail and a plan.
Hear what AI is saying about you.
The word it uses. The sources behind it. The plan to change its mind.