Content Refresh for AI Citation: Which Pages to Fix First
A triage framework for deciding which existing pages to refresh first so they get cited by AI assistants, and how to fix them without a full rewrite.

A triage framework for deciding which existing pages to refresh first so they get cited by AI assistants, and how to fix them without a full rewrite.

SEO is not one thing. The technical and authority layers matter more than ever for AI search; the position-chasing and manipulation layers matter less or negatively.

AI engines assess credibility per topic, not per domain. Here are the five signal groups they read and how to build authority narrow enough to actually win.

AI engines favour forums and Wikipedia for structural reasons, not conspiracy. Here is the mechanism behind it and which question types your site can realistically win.

Which content structures large language models extract most reliably, which ones consistently fail, and the self-containment test that catches most problems.

A six-step answer engine optimization framework built on five dependent layers: access, extraction, attribution, corroboration and measurement.

A practical decision framework for AI crawler policy: what GPTBot, ClaudeBot and Google-Extended actually do, and the real cost of blocking them.

Schema does not guarantee citation, but it removes ambiguity about who you are and what you claim. Here are the types that matter and how to implement them.

Seven concrete, checkable reasons AI assistants skip your site, from blocked crawlers and client-side rendering to entity ambiguity and unextractable prose.

A week-by-week plan to measure, fix and grow how often AI assistants cite your business, using only your existing team and content.
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