Author: Chris Han

Build internal linking for AI search with claim-to-proof mapping, evidence scoring, anchor rules, technical checks, and a measurable audit workflow.

Learn how to build AEO topic clusters from buyer prompts, distinct intent, and verifiable proof using maxaeo’s practical P3 framework.

Run an orphan pages AI search audit: find hidden evidence URLs, prioritize citation opportunities, repair internal paths, and measure recovery.

Can AI crawlers render JavaScript? Use a 16-cell test to compare raw HTML, browser output, resource requests, verified bot logs, and retrieval.

Compare SSR vs CSR for AI crawlers by evidence retrieval, JavaScript dependency, failure recovery, performance, and deployment cost.

Can AI crawlers see hidden content? See how tabs, accordions, JavaScript, and API-loaded copy behave, plus a 16-URL test and safer fixes.

Learn category design for AI search: audit LLM classifications, map co-mentions and citations, choose a category strategy, and measure category match.

Learn how to analyze brand co-mentions in AI answers, classify relationships, calculate reliable edges, and map your AI consideration set.

ChatGPT puts your product in the wrong category? Use this evidence-led diagnostic to test category drift, fix conflicting sources, and verify the correction.

Compare direct and indirect competitors in AI search using a four-signal framework, evidence rules, formulas, and a worked share-of-voice example.