geo-citability

AI citability scoring is a framework that quantifies how likely AI systems are to quote your content. It generates a 0-100 score with actionable rewrite recommendations to increase extractability and accuracy across AI platforms.

Run a citability analysis on your blog posts to segment content by headings and evaluate each block. This generates a scored report with specific rewrite recommendations and structure guidance to improve AI quoting.

Yes, the citability rubric evaluates marketing pages using category weights for answer quality, self-containment, structure, statistics, and originality. It applies per-block scoring to ensure content is self-contained and data-backed.

Yes, you can export a GEO-CITABILITY-SCORE.md style deliverable from the analysis. This report provides explicit openings and data points to boost citability, serving as client-ready documentation for marketing pages.

The best way to improve documentation for AI search engines is to apply rubric-based evaluation with self-containment checks and structure guidance. This identifies specific openings and data points to boost your block-level citability score.

Content receives a low citability score when it fails self-containment checks or lacks structure guidance. The rubric evaluates answer quality and data-backed statistics across each block, requiring explicit openings to improve extractability.