geo-citability

AI systems like ChatGPT and Perplexity prefer self-contained passages with clear answer blocks, high statistical density, and structural readability. Content scoring evaluates these five categories to identify weak sections and provide rewrite suggestions that make passages easier to extract and quote.

You analyze a webpage for AI quotability by fetching its content and segmenting it to evaluate extractability. The analysis applies a rubric across five categories to produce a 0-100 citability score and targeted rewrite suggestions for weak sections.

The best way to structure a blog post for AI overviews is to use an answer-first format, ensure sections are self-contained, and include unique statistics. Content optimization scoring identifies these structural elements and suggests rewrites to boost citation rates.

Content scoring for GEO requires web analysis tools to fetch page structure and extract text segments. The process relies on retrieving live webpage content and segmenting it to evaluate facts, readability, and answer block quality.

Your webpage may not appear in AI search responses because it lacks self-contained answer blocks, statistical density, or structural readability. A citability evaluation identifies these extractability weaknesses and provides rewrite suggestions to make your passages quotable.