geo-fundamentals

To check if your web content is ready for AI citations, audit HTML and JSX files for JSON-LD structured data, H1/H2 headings, author attribution, publication dates, and FAQ sections to produce a scoring report with recommended improvements.

JSON-LD structured data is metadata embedded in HTML that helps AI engines reliably extract and cite page content. Verifying JSON-LD presence ensures accurate AI indexing and improves content citability.

Yes, you can audit documentation, blogs, knowledge bases, and marketing pages. The checker scans your project folder to enforce coverage of key signals like JSON-LD, heading structure, author dates, and FAQ sections across all these page types.

Run an automated web content audit for structured data by executing the checker script against your project directory. It analyzes your HTML, JSX, and TSX files to identify missing metadata and outputs a scoring report.

Yes, the GEO checker works with JSX and TSX files. It analyzes HTML, JSX, and TSX pages across your project to identify JSON-LD presence, heading structure, author attribution, and publication dates.

Automated AI citation readiness checks are limited to validating structural signals like JSON-LD, headings, dates, and FAQ sections. They do not evaluate the factual accuracy or semantic quality of the actual web content.