geo-fundamentals

AI engines cite content that is structured, attributed, and organized for machine consumption. GEO audits your pages for JSON-LD markup, author attribution, publication dates, and semantic HTML patterns—headings, lists, tables, and FAQs—to improve discoverability and credibility in AI-generated responses.

GEO validates JSON-LD markup, a structured data format that helps AI systems understand content context, authorship, and dates. It ensures your web pages, articles, and documentation include proper schema annotations so AI engines can parse and cite your content reliably.

Run the GEO audit script on your project directory: `python scripts/geo_checker.py <project_path>`. It validates JSON-LD, author attribution, publication dates, FAQ structure, headings, lists, and tables—identifying gaps that prevent AI engines from citing your content.

Yes. GEO audits blog articles for structured data, author information, dates, and semantic organization—all signals AI engines use to select sources. Addressing GEO audit findings increases your blog's likelihood of being cited in AI-generated content and knowledge graphs.

Content alone isn't enough for AI citation. GEO enforces structured markup, clear authorship, dates, and semantic patterns that make content machine-readable. Without these signals, AI engines may overlook your pages even if they contain relevant information.