geo-fundamentals

To optimize content for AI citation, you need to implement structured data, entity clarity, and provenance signals. This involves adding JSON-LD Article schemas, authorship attributes, and publication dates so LLMs can easily extract and verify your information.

GEO, or Generative Engine Optimization, is a framework that improves content visibility in AI-generated answers by guiding data structure and crawl readiness. It ensures your articles satisfy AI crawlers through proper schema markup and entity signals.

The best way to structure content for LLM extraction is to apply clear entity signals, structured data like JSON-LD, and proper authoring signals. This content structuring guidance makes your information highly accessible to AI agents.

Yes, JSON-LD and Article schemas are required to make content eligible for AI citation. These structured data formats provide the exact provenance signals and entity clarity that AI models use to attribute sources accurately.

Yes, you can measure your citation rate using a dedicated GEO framework. This measurement framework tracks how often your content appears in AI-generated answers, helping you refine structured data and crawler access configurations over time.

You configure crawler access by adjusting your site's access configurations specifically for AI agents. This ensures crawlers can reach your structured data, read your publication dates, and establish the provenance signals needed for accurate AI citation.