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geo-fundamentals

Analyze public web content for AI citation readiness using GEO principles.

Updated Dec 22, 2025
Search Tags:#structured data#content optimization#GEO#JSON-LD#AI citations#FAQ markup#content auditing
One-click install
npx skills add https://github.com/alaminmain/DoorAuthServer --skill geo-fundamentals-alaminmain
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: geo-fundamentals
Source: https://github.com/alaminmain/DoorAuthServer/tree/main/.agent/skills/geo-fundamentals
Command: npx skills add https://github.com/alaminmain/DoorAuthServer --skill geo-fundamentals-alaminmain

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps content teams optimize their public content for AI citation by ensuring structured data, clear hierarchies, author/date signals, and FAQ-ready content so AI systems can cite accurately.

Core Features & Use Cases

  • Structured data readiness: JSON-LD and entity signals to improve AI recognition.
  • Content hierarchy: Clear H1/H2 structure and scannable sections for AI extraction.
  • Audit & guidance: Automated checks with actionable recommendations to improve GEO readiness.
  • Use Case: A blog post is updated to include JSON-LD, an FAQ, and data-rich sections to boost AI citations when queried.

Quick Start

Run GEO checker against your public content to assess AI citation readiness and follow the suggested improvements.

Frequently Asked Questions about geo-fundamentals

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

FAQPage Schema
How do I optimize my blog posts for AI citations using GEO?▼

AI citation readiness is achieved by evaluating public web content for JSON-LD, heading hierarchies, date metadata, and FAQ markup. This Skill audits these GEO signals to ensure AI systems can accurately extract and reference your pages.

What is GEO and how does structured data improve AI recognition?▼

GEO is the practice of optimizing public web content for generative AI extraction. Adding structured data like JSON-LD and entity signals improves AI recognition by providing explicit, machine-readable context for your blog posts and documentation.

How do I audit my public web pages for AI citation readiness?▼

You audit web pages for AI citation readiness by running automated checks against public URLs to evaluate JSON-LD, headings, dates, and FAQ markup. This generates a citable content score and actionable recommendations to improve GEO.

Does my marketing page need FAQ markup to be cited by AI systems?▼

Yes, adding FAQ markup and data-rich sections to marketing pages significantly boosts AI citations when queried. AI systems rely on clearly structured question and answer formats to extract relevant information for generative responses.

Can I use this GEO checker to evaluate documentation and marketing pages?▼

Yes, you can evaluate documentation, marketing pages, and blog posts. The checker targets public web content across websites to assess structured data, proper topic framing, author metadata, and overall citable content scoring.

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