Signal
“A smaller competitor keeps getting recommended.”
You're not imagining it
The ground moved under your category
You're not imagining it. In AI answers, citation share rarely tracks market share. A competitor a fraction of your size can be recommended far more often than their size suggests — not because the engines rate them higher, but because they published for the way buyers actually ask.
- 51%
- of B2B buyers start research with an AI chatbot more often than Google
- Source: G2
- +357%
- YoY AI referrals to the top 1,000 sites
- Source: Similarweb (via TechCrunch, 06.2025)
The signal we detect
What this looks like in your data
A competitor's citation share runs well ahead of their actual market share, and the gap traces to a finite list: the specific domains and pages the engines pull those citations from.
That list is reclaimable ground. It is a target list, not a verdict.
What the system does about it
How we close it
We discover and classify your real competitors across AI and search, reverse-engineer their citation sources, and hand you the target list to displace them.
Where this lives
The free GEO audit
See exactly where AI engines are ignoring you.
Your citation share against theirs, and the exact pages the engines pull from: two of seven gaps, read on your own domain — before you pay anything. That is where the walkthrough starts: live, on your dashboard — not a sample account.