geo-optimizer-skill: GEO Optimizer, the open-source engine behind GeoReady: audit whether ChatGPT, Perplexity, Gemini & Google AI

by Auriti-Labs · MCP Server · ★ 1.3k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Featured in: Claude SEO Skills & SEO MCP Servers

How to install geo-optimizer-skill

uvx --from geo-optimizer-skill geo audit --url https://yoursite.com
pip install geo-optimizer-skill

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 67/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

aeoai-search-optimizationai-seoai-visibilityanswer-engine-optimizationastrochatgptcitation-trackingclaudecli

Quick Facts

Stars1,278
Forks148
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score67/100
Open Issues7
Last Updated2026-11-04
Created2026-02-18
Platformsclaude-code, cli, gemini, mcp, python
Est. Tokens~19k

About geo-optimizer-skill

The open-source Answer Engine Optimization (AEO) & Generative Engine Optimization (GEO) toolkit. Audit, optimize, and track whether ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews can crawl, understand, and cite your website. [![Buy Me a Coffee](https://img.shields.io/badge/Buy%20Me%20a%20Coffee-support-FFDD00?style=flat-square&logo=buymeacoffee&logoColor=00

Compatible Skills

These tools work well together with geo-optimizer-skill for enhanced workflows:

  • seo-agi — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)
  • gtm-engineer-skills — semantic(0.51)+complementary+rare_topics+shared_platform (63%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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