Short, grounded pieces on answer-engine visibility — what AI assistants cite, why, and how to win the answer. Sample figures are always labeled, and every number is meant to be reproducible.
The whole pipeline, drawn: we read your site, ask four answer engines your buyers' questions several times each, keep search-grounded answers separate from memory, and score three layers — every number backed by a stored transcript. Six diagrams, no algorithms.
Take the tour →Known by name 98%, recommended to buyers 0% — measured five times per query across four engines, every number reproducible. The honest zero, the transcripts, and everything I fixed because of it.
Read the story →In the thirty days to July 31, AI crawlers visited 265 times and cited zero. Why being read is not being cited — the three layers, the passage-ranking mechanism, and why more content was never going to fix it. Every number from the stored baseline.
Read the story →A Citation Sweep doesn't end at a score — it ends at a five-layer action plan: paste-in schema, corrections for what AI gets wrong about you, an off-site plan built from real citations, a per-question battle-map, and reproducible proof. Every number is checkable.
Read the story →There's no page two in an AI answer. See a full sample AI Visibility Executive Report — and the six things AEO Analyzers does that other AEO/GEO tools don't. Then check your own brand free.
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