What problem does it solve? After publishing content, teams have no reliable way to know whether AI answer engines actually cite their articles, or whether CMS changes silently stripped the structured elements (schema, definition blocks, dates) that make pages extractable. This Skill closes that measurement gap with repeatable, recorded checks. ## Core Features & Use Cases - AI Overview citation probing: Re-runs target queries via web search to record AI Overview presence, own-domain citation status, competitor citations, and organic position bands. - On-page extractability audit: Fetches the published URL to verify definition blocks, dates, structured elements, Article/Person schema, and author bylines survived the CMS. - Historical delta tracking: Appends every check to per-brand history and computes gained/lost/unchanged citation trends, routing absent verdicts to content refresh with evidence. - Use Case: A piece published three weeks ago targets "AI diagnostics accuracy". Run the check to discover a competitor is cited instead, see that your JSON-LD schema was stripped by the CMS, and get a concrete fix-and-recheck action plan. ## Quick Start Ask the assistant to run an AEO citation check on your published article URL to see whether Google AI Overviews cite it and whether its on-page extractability elements are intact.