What we find scoring real B2B sites for AI visibility — the patterns, the mistakes, and the findings worth acting on. Every claim is sourced or is our own measured data. No news roundups.
We scored 137 UK B2B sites for AI crawler access. Almost every blocker blocks the harmless class — and the audits selling that finding cannot tell the difference.
Retrieval, extraction, attribution — three gates, three different failures. Semrush found only 6–27% of the most-mentioned brands also rank as top sources.
Google says it is not needed for AI Overviews. Anthropic recommends it. Both are right, because they are answering different questions.
0.5% of visitors, 12.1% of sign-ups. What five published datasets agree on, and why your analytics shows less than the truth.
Ask a model the same question three times, get three answers. The protocol that survives a client re-running it themselves.
Google described us as a Polish local-business tool and mixed us up with laboratory glassware. What an entity collision looks like from the inside.
A plain definition, the three things a model must do before it will cite you, and what the work consists of.
Where the two overlap, where they diverge, and which one your problem belongs to.
Two acronyms, one discipline — and the four questions to ask a provider instead.
Twenty fixed questions, three runs per engine, and the limits of what any of it proves.