scoring-engine

To evaluate if AI answers cite official URLs, you can run an automated scoring pipeline that checks per-question, per-platform URL citations. It computes an official_source_ratio and classifies each answer's citation status based on a 75% threshold.

Official source ratio in AI answer auditing is a computed metric quantifying how well AI platform responses cite official content. It determines per-question status, classifying answers as satisfied, not_cited, or no_official_content using a 75% threshold.

You generate structured scoring reports for AI platform responses by running the scoring pipeline against a set of questions and answers. This produces a scoring-results.json file containing per-platform matched URLs, counts, and a full summary for downstream reporting.

The URL citation check uses exact URL matching combined with normalization rules. This ensures precise identification and quantification of how AI platform answers cite official content across questions and platforms.

You can use the scoring results to drive GEO catalog suggestions. The pipeline generates structured results with per-platform matched URLs, counts, and a final scoring report formatted specifically for automated scoring pipelines and downstream reporting tools.

No external dependencies are required to run the AI answer scoring pipeline. The Skill operates independently using its internal scripts, references, and assets to perform URL citation checks and generate structured scoring reports.