cf-aeo-check

Checks whether published articles earn citations in Google AI Overviews and tracks results over time.

1|Updated Aug 18, 2026
One-click install
npx skills add https://github.com/teachskillofskills-ai/ContentForge-techshu --skill cf-aeo-check-teachskillofskills-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cf-aeo-check
Source: https://github.com/teachskillofskills-ai/ContentForge-techshu/tree/main/skills/cf-aeo-check
Command: npx skills add https://github.com/teachskillofskills-ai/ContentForge-techshu --skill cf-aeo-check-teachskillofskills-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

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.

Frequently Asked Questions about cf-aeo-check

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check if my article is cited in Google AI Overviews?

Run the check with your published URL or requirement ID. It re-probes your target queries via web search, records whether AI Overviews appear and whether your domain is cited, visible-but-not-cited, or absent, then appends results to a per-brand history file.

How to track AI citation changes for content over time?

Each check appends a timestamped record to the brand's checks.json history rather than overwriting it. When history exists, the report computes per-query deltas showing gained, lost, or unchanged citation status, with a recommended cadence of checks at 2, 6, and 12 weeks post-publication.

Can this measure citations in ChatGPT or Perplexity?

No. It measures Google-observable signals only, since there is no public API for citations inside ChatGPT, Perplexity, Gemini, or Copilot. If a third-party AEO-tracking connector is available, it uses that data with the source labeled; otherwise coverage is stated as Google-only.

Why did my article lose AI Overview visibility after publishing?

A common cause is the CMS stripping structured elements after publication, especially JSON-LD Article/Person schema. The extractability audit fetches the live page and checks definition blocks, dates, tables, schema, and bylines to identify exactly which element regressed.

When should I not use an AEO citation check?

Do not use it for pre-production research, which belongs to the brief phase, or as a general rank tracker. Checks run earlier than two weeks after publication mostly measure indexing lag rather than citation merit.