geo-fundamentals

Generative engine optimization (GEO) prepares web pages for retrieval and citation by AI search engines. It involves validating structured data, headings, author attribution, dates, and entity markup to ensure content is discoverable by systems like ChatGPT and Perplexity.

To check AI citation readiness, audit your web page content for missing signals like schema markup, FAQ sections, and proper attribution. A pattern-based validation of HTML, JSX, or TSX files identifies gaps that reduce visibility in generative search results.

Generative engine optimization applies to JSX and TSX content alongside standard HTML. The audit inspects these file types via the file system to validate citation-friendly elements like structured data, headings, and entity markup for AI search indexing.

Structured data signals that improve AI citation include proper schema markup, clear heading hierarchy, author attribution, publication dates, FAQ sections, and entity markup. Validating these elements ensures AI search engines can parse and retrieve your content accurately.

Audit a blog article for AI discoverability by scanning the page content to identify missing schema, attribution, or FAQ elements. File-system inspection validates citation-friendly patterns in the HTML or JSX structure to improve generative search visibility.

Your web page may not appear in AI search results due to missing citation signals. Without structured data, entity markup, or clear author attribution, generative engines lack the metadata needed to confidently retrieve and reference your content.