AI Citability Score (0-10)

AI Citability Score is a metric (0–10) that measures how likely content is to be cited by AI Search, focusing on how well content is structured for AI citation. It evaluates four key factors: chunk autonomy, BLUF, atomic claims, and SRL. Chunk autonomy measures whether a fragment makes sense when extracted from the article. BLUF checks whether the answer appears in the first 50 words. Atomic claims evaluates verifiable statements with numbers and sources. Subject-role labeling checks whether the Central Entity appears as the active subject rather than passive object in sentences.

It differs from CQS in that CQS measures overall quality (6 dimensions, 0–100), while AI Citability focuses solely on the question 'will AI cite this?' High-quality expert content may score poorly on AI Citability if structured poorly for extraction.

An article with excellent expert knowledge (high E-E-A-T) but opening with three introductory paragraphs (no BLUF) will score high CQS but low AI Citability.

When auditing content, evaluate AI Citability independently of overall quality metrics. Even high-quality content can have poor citability if its structure doesn't support AI extraction.