Methodology & Community

About GeoScore

An open-source GEO auditing tool that synthesizes frameworks from the community's leading projects.

Scoring Methodology

GeoScore evaluates websites across 12 dimensions for Generative Engine Optimization (GEO) readiness, producing a 0-100 score. The scoring system synthesizes frameworks from 5 leading open-source projects.

DimensionWeightSourceChecks
AI Crawlability (Robots.txt)12%geo-optimization-handbook, Auriti-Labs6
AI Guidance (llms.txt)12%geo-optimization-handbook, best-aeo-skill5
Structured Data (Schema)14%handbook, evolv3ai, Auriti-Labs8
Meta & Social Tags10%geo-optimization-handbook, piiiico5
Content Quality12%handbook, Auriti-Labs, geo-optimizer (Go)6
E-E-A-T Signals8%evolv3ai, best-aeo-skill5
Brand & Entity8%geo-optimization-handbook, best-aeo-skill4
Citation Readiness8%best-aeo-skill, geo-seo-claude5
Discovery Endpoints6%geo-optimization-handbook3
Agent-Friendliness4%ax-score, agentscore4
Freshness & Maintenance4%evolv3ai3
Negative Signals− (deduction)handbook, UC Berkeley EMNLP 20248

Score Levels

86-100
Excellent
Fully GEO-optimized. Well positioned for AI citation.
68-85
Good
Minor gaps remain. Targeted fixes will improve AI visibility.
36-67
Basic
Foundation exists but significant work needed.
0-35
Critical
Major overhaul required —start with robots.txt, llms.txt, schema.

Technical Notes

Data source: All analysis is performed client-side by fetching publicly accessible resources (robots.txt, llms.txt, HTML, JSON-LD). No user data is collected or stored on servers.
CORS handling: Some resources are fetched via a Cloudflare Worker proxy when direct browser access is blocked.
Privacy: Audit results are stored only in your browser's localStorage. No data is transmitted to third parties.
Limitations: JavaScript-rendered content may not be fully captured. For SPAs, consider static rendering or pre-rendering for best results.
License: MIT —free to use, modify, and distribute.