What problem does it solve?
It helps you audit and improve web pages so AI search engines can easily extract, trust, and cite your content in generated answers.
Core Features & Use Cases
- GEO audit for citation readiness: Detects structured data (JSON-LD), heading structure, author attribution, publication dates, FAQ signals, lists/tables, entity/schema cues, and citation-friendly patterns like original statistics.
- Targeted page scanning: Locates likely public web pages by analyzing HTML and app-style JSX/TSX content while skipping common non-public directories and config/test artifacts.
- Actionable scoring and issue reporting: Produces per-page pass/issue signals and an overall average score so teams can prioritize fixes before publishing or marketing launches.
- Use case: Before launching a product or knowledge base update, run the audit to identify missing JSON-LD, weak heading structure, or absent author/date/FAQ elements that reduce AI citation likelihood.
Quick Start
Run the GEO audit script on your project by executing python scripts/geo_checker.py <project_path> and review the scored output to see what to fix.