geo-audit

A generative engine optimization audit evaluates AI citability, brand authority, and technical infrastructure by crawling high-value pages and generating a weighted 0-100 GEO Score with prioritized fixes. It analyzes schema coverage and platform readiness to ensure AI systems can discover and recommend your content.

Checking AI citability and E-E-A-T signals requires a multi-page website recon that evaluates content quality, structured data, and technical readiness. This process uses parallel subagent analyses to produce severity-classified findings, identifying exactly why AI systems struggle to understand and cite your pages.

Auditing structured data and technical SEO for AI discovery involves crawling a limited set of high-value pages to analyze schema coverage and technical infrastructure. The audit coordinates specialized checks to detect business type and outputs a structured report with severity-ranked issues blocking AI recommendation.

Yes, you can crawl a typical marketing site using WebFetch-driven crawling with robots.txt compliance to generate a GEO score. The audit applies to orchestrating multi-page website recon and sitemap analysis, computing a weighted composite 0-100 score that quantifies your platform's AI visibility.

Standard SEO does not guarantee AI recommendation because generative engines require specific citability, E-E-A-T, and platform readiness signals. A GEO audit identifies missing schema, weak brand authority, or technical infrastructure gaps that prevent AI systems from confidently discovering and citing your content.