geo-fundamentals

Audit web content for JSON-LD, FAQPage, and Entity schemas to generate a GEO score.

Updated Jan 20, 2026
One-click install
npx skills add https://github.com/lchenrique/politron-ide --skill geo-fundamentals-lchenrique
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: geo-fundamentals
Source: https://github.com/lchenrique/politron-ide/tree/main/.agent/skills/geo-fundamentals
Command: npx skills add https://github.com/lchenrique/politron-ide --skill geo-fundamentals-lchenrique

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

GEO Fundamentals helps teams improve AI citation readiness by auditing public web content for structured data, author attribution, dates, and clear headings, enabling higher-quality AI-driven references.

Core Features & Use Cases

  • Structured data auditing: checks for JSON-LD, FAQPage, and entity schemas to improve AI extraction and citations.
  • Publication hygiene: verifies author attribution and publication dates to signal freshness.
  • GEO scoring: produces a GEO score with actionable remediation guidance for pages, sites, and documentation.
  • Use Case: Run the GEO checker on a product landing page to identify missing JSON-LD, author info, or FAQ sections and add them to boost AI references.

Quick Start

  • Run the GEO checker on your project:
  • python geo_checker.py /path/to/your/project

Frequently Asked Questions about geo-fundamentals

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit my web content for AI citation readiness?

To audit web content for AI citation readiness, run a GEO checker script on your project directory to evaluate JSON-LD, FAQPage, entity schemas, heading structure, author attribution, and publication dates, generating a GEO score with remediation guidance.

What structured data is needed to improve AI extraction and citations?

Improving AI extraction and citations requires structured data like JSON-LD, FAQPage, and entity schemas. These schemas help AI models parse public-facing pages accurately by enforcing clear headings, author attribution, and publication dates.

How do I check my landing page for missing JSON-LD and FAQ sections?

To check your landing page for missing JSON-LD and FAQ sections, run the GEO checker Python script with your project path. It audits page content and outputs actionable remediation guidance to add missing structured data.

Does GEO optimization require author attribution and publication dates?

Yes, GEO optimization requires author attribution and publication dates to signal content freshness. Verifying this publication hygiene alongside structured data ensures your public web pages are ready for high-quality AI-driven references.

Can I use this GEO checker on any public-facing web app or blog?

You can use this GEO checker on any public-facing web app or blog. It audits pages across modern web applications to ensure structured data, author attribution, dates, FAQs, and clear headings meet AI citation standards.