SEO + GEO Website Audit | Evidence-Based AI Search Visibility Analysis

SEO + GEO Website Audit follows an “evidence before recommendations” approach. It reviews public webpages for technical and content signals, including HTTP/HTTPS status, canonical URLs, JSON-LD, hreflang, structured data, content clarity, website trust signals, and readiness for AI-powered search and citations.

Each result is clearly classified as Verified, Not Verified, Requires External Data, or Not Applicable. This prevents assumptions from being presented as confirmed defects. Findings are organized by P0/P1/P2 priority and accompanied by supporting evidence, recommended actions, and verification methods.

Key features

Evidence-backed single-page auditing

Coverage of traditional SEO, GEO, and AEO

Structured data, canonical, and multilingual checks

Content clarity and trust-signal analysis

AI search and citation-readiness assessment

Clear separation of verified findings and evidence gaps

P0/P1/P2 priority classification

English and Simplified Chinese reports

Executive summaries and actionable recommendations

The project is suitable for independent websites, business websites, AI product platforms, content publishers, international websites, SEO professionals, and product-growth teams.

The current scope is a public single-page audit rather than a full-site crawler. Core Web Vitals, rendered DOM behavior, external citations, and certain AI-search signals may require additional data or further verification. Readiness does not guarantee search rankings, visibility, or AI citations.