geo-fundamentals

To optimize content for AI citations and improve your GEO score, audit your public material to enforce JSON-LD structured data, clear author attribution, publication dates, and explicit FAQ sections that AI engines extract.

Generative Engine Optimization is the process of enriching public content with machine-readable signals like JSON-LD and entity schemas so AI systems can reliably extract answers, cite your sources, and trust your publication dates.

You audit your website for AI-citation readiness by evaluating public pages against a GEO content checklist, verifying AI-crawler access, and checking for clear headings, author attribution, data tables, and structured definitions.

Adding JSON-LD and author attribution helps knowledge bases get cited by AI by providing the explicit trust signals and structured entity schemas that AI engines require to extract and reference your content accurately.

The best way to structure FAQs for AI answer extraction is to use explicit FAQ sections, clear headings, data tables, and explicit definitions, ensuring the content is machine-readable and easy for AI systems to parse and cite.

You need to update publication dates whenever content is revised to sustain citation quality, as AI engines rely on accurate freshness signals and clear author attribution to determine the reliability of your public material.