
How To Track ChatGPT, Claude, Perplexity, And Gemini In Server Logs
Read AI search in your access logs: the crawler cast per vendor, grep starters, spoofing checks, and the two traps that make logs lie to you.
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Showing posts tagged “AI Search” · 518 articles

Read AI search in your access logs: the crawler cast per vendor, grep starters, spoofing checks, and the two traps that make logs lie to you.

Search Console won't split AI Overview clicks from organic. Five methods to build the split yourself, plus the scoreboard and traps to avoid.

The zero-click fate of most AI articles is sealed at the planning stage. The five upstream causes, the pre-writing checklist, and planning that fixes it.

AI-shaped queries are showing up in Search Console. How to extract the intent signal, cluster it safely, and dodge the overfitting traps.

Prompt-shaped queries are showing up in Search Console. Where they come from, what the OpenAI-Google scraping lawsuit changed, and how to read them.

Mostly no. Blocking PerplexityBot removes you from its index, but on-demand fetches and third-party paths remain. What blocking actually changes.

AI engines don't publish query logs. Seven inference methods that reconstruct the question space anyway, and how to turn it into a content map.

The honest yes-but answer: SEO still pays in 2026, the clicks math changed, and the version worth doing is the one that feeds AI answers too.

The three optimization pillars that decide AI citations: page structure engines can lift, sources that make claims citable, and brand signals retrieval trusts.

A channel guide for founders now that discovery splits across Google, AI engines, directories, and communities, with a bootstrapped 90-day sequence.

A five-layer AI search readiness checklist: crawler access, rendering, extraction structure, entity trust, and measurement, with pass criteria.

How AI search differs from Google search in mechanics, behavior, economics, and measurement, and what actually changes in a B2B playbook.
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