Content Extractability

Content extractability measures how readily AI systems can pull specific facts, claims, and recommendations from your web content. Highly extractable content uses clear structures, explicit claims, supporting evidence, and formatting patterns that language models can easily identify and reference.

Content extractability is a crucial factor in both AEO and GEO because AI models prefer to cite content that is easy to parse. Long-form prose without clear structure is harder for AI to extract than content with clear headings, concise paragraphs, factual statements, and logical organization.

Improving extractability involves using descriptive headings, leading paragraphs with key claims, providing specific data points and statistics, using tables and lists for comparative information, implementing FAQ schema, and ensuring each page has a clear topical focus.