Research
We run live panels across six engines and publish what we find, graded by how strong the evidence is. The vendors write listicles that rank themselves first. We write the independent version. If it's in here, we watched it happen.
Six engines, six different source stacks. Why ChatGPT leans on directories, Gemini on your Google profile, and Perplexity on whatever it can quote.
Read →Field studyWe measured it: the ChatGPT app and the OpenAI API recommend different local businesses. Bare-API overlap with the app was ~8%; browsing doubled it and still missed most picks. The numbers, per vertical.
Read →BriefingThe 'nobody asks a chatbot for a lawyer' objection, answered with the engines' own usage data — and why professional services are where AI hiring lands first.
Read →Tool teardownThe popular local tools added AI. We pulled one apart against primary sources: what it measures, what it can't see, and where a report tells you more.
Read →BriefingEvery engine ships two products under one name — a developer API and a consumer app — and they recommend different businesses. Why that quietly breaks most AI-visibility measurement, engine by engine, with the one exception.
Read →BriefingMid-2026 analyses put Reddit, Wikipedia, YouTube, and the big directories at the top of every AI-citation list. The useful move isn't cracking that leaderboard — it's being the cited source for your category, in your city.
Read →PlaybookThe complete playbook: what decides whether an AI names you, and the fixes in order of leverage.
Read →More field notes publish as panels complete. Every claim carries its evidence grade; when a finding dies on re-measure, we strike it and say why.