geo-fundamentals

To optimize content for AI citations, you need to improve semantic relevance, authority signals, and structured data. You can audit your web pages using a Python script that checks HTML and JSX files for JSON-LD, headings, author attribution, and FAQ sections.

GEO focuses on getting your content cited by generative AI search engines, whereas traditional SEO targets ranking high on search engine results pages. GEO emphasizes structured data and authority signals to ensure AI models reference your pages accurately in generated summaries.

You can audit AI-driven search visibility by running a Python checker script on your project path. This script analyzes HTML, JSX, and TSX files to evaluate elements like JSON-LD, publication dates, and FAQ sections against AI citation best practices.

Yes, AI citation optimization works with React JSX and TSX files. The auditing script analyzes these file types directly to ensure your structured data, headings, and author attributions meet the requirements for generative engine citations.

AI search engines look for structured data elements like JSON-LD, proper headings, clear author attribution, publication dates, and FAQ sections. Including these elements significantly increases the likelihood of your content being cited in AI-generated answers.

You should shift to generative engine optimization when you want your content to appear as a source in AI-generated summaries rather than just ranking on traditional search engines. This is crucial if your audience increasingly relies on AI assistants for information retrieval.