geo-citability

To analyze AI citability, run the scorer on a target URL to fetch page content and generate a block-level citability report. It outputs a 0-100 score with breakdown criteria and rewrite suggestions to improve extractability by major AI models.

Content citability scoring evaluates how likely AI systems will extract and quote passages from web content. It analyzes definition patterns, self-containment, structure, statistics, and originality to provide a 0-100 score and rewrite suggestions for optimization.

Yes, you can apply the citability scorer to product pages, technical articles, and blog posts. It performs block-level analysis on any fetched web page content to identify passages most likely to be cited by AI and provides targeted rewrite suggestions.

To get block-level rewrite suggestions, run the scorer on your URL. It identifies specific passages most likely to be cited by AI and generates actionable rewrite suggestions to boost citability based on definition patterns, self-containment, and structure.

The 0-100 citability score is calculated across criteria including definition patterns, self-containment, structure, statistics, and originality. The scorer fetches your web page content and outputs a breakdown of these criteria to guide content optimization.

Yes, the citability scorer requires the requests and beautifulsoup4 dependencies to fetch and parse web page content from target URLs. These libraries enable the tool to extract page content for block-level analysis and citability scoring.