geo-optimizer

To optimize content for AI citations, you need to audit existing material against GEO signals, front-load evidence, and apply structured data. This process rewrites drafts to maximize citation probability in engines like ChatGPT and Google AI Overviews.

GEO, or Generative Engine Optimization, is the process of structuring content with real evidence signals to maximize visibility. It improves AI search visibility by producing engine-specific playbooks that guide on-page fixes and schema strategies for platforms like Perplexity and Gemini.

You audit content for AI-citation readiness by scoring it against the GEO signal stack. This identifies gaps preventing citations in engines like Claude and ChatGPT, providing an actionable optimization plan and a rewritten draft with structured data guidance.

Yes, content optimization for AI overviews requires structured data and schema. A complete GEO playbook includes schema strategy and on-page fixes to ensure engines like Google AI Overviews can parse and cite real evidence signals effectively.

Yes, you can create engine-specific playbooks for Perplexity and Gemini citations. The strategy generates tailored guides with on-page fixes, evidence sources, and schema strategies to maximize citation probability and drive ongoing content growth.

Content fails to get cited by AI search engines when it lacks proper evidence signals and structured data. Running a GEO audit scores the content against citation requirements, identifying gaps and providing an actionable plan to front-load evidence for AI visibility.