Author: Chris Han

Site migration AI search visibility depends on how fast AI engines re-crawl your 301s. See per-engine recovery curves and shorten the citation gap—track it daily.

Content chunking for AI search breaks when retrieval lifts a passage off its page. Passage engineering keeps chunks citable—see the rewrites and test inside.

How AI search retrieval works, explained for marketers: embeddings, chunking, reranking, and which stage each AEO tactic targets. See where your pages drop out.

We put one claim at five depths in long pages and tracked which reached AI answers. Get the page length and AI citations rule and where to place your best proof.

AI often cites a syndicated copy, not your original. See which version wins syndicated content AI citations — and how to track and win the credit back.

Gated content AI search is nearly blind: email forms, paywalls, and login walls block the crawlers that quote you. See which gates to drop—and keep your leads.

AI recommendation bias decides which brands AI names before you optimize. Our 8-engine field study quantifies four tilts with per-engine data—see the numbers.

AI recommends free tools more than paid ones. See the free/open-source skew by category—and the paid-product playbook that narrows it. Track your AI visibility.

Does PR affect AI search visibility? We tracked 41 funding and launch events across eight AI surfaces — lift peaks on day 6 and halves by day 19. See the curve.

What makes AI recommend a brand? Our 90-day study of 512 B2B SaaS brands correlates GitHub stars, reviews, traffic, and third-party consensus against real AI mention rates. See which signals predict recommendation—and which waste your quarter.