geo-fundamentals

Audit public web content for AI citation readiness with JSON-LD and heading checks.

7|1|Updated Mar 28, 2026
One-click install
npx skills add https://github.com/skeletorflet/opencode-kit --skill geo-fundamentals-skeletorflet
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: geo-fundamentals
Source: https://github.com/skeletorflet/opencode-kit/tree/main/.opencode/skills/geo-fundamentals
Command: npx skills add https://github.com/skeletorflet/opencode-kit --skill geo-fundamentals-skeletorflet

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

GEO optimization identifies and improves the readiness of public web content for AI engines, helping content creators earn higher AI citations and richer responses.

Core Features & Use Cases

  • JSON-LD and structured-data validation to ensure AI systems can extract and index content accurately.
  • Clear heading structure checks (H1 and H2) to improve readability and extractability for AI.
  • Author attribution and publication date checks to strengthen trust signals and freshness.
  • Use case: When preparing a product page, run GEO to ensure the page is AI-friendly and more likely to be cited by AI engines.

Quick Start

Run the GEO checker on your project to audit AI citation readiness.

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?

You can audit AI citation readiness by checking public-facing pages for proper JSON-LD structured data, clear H1 and H2 heading hierarchy, author metadata, publication dates, and FAQ sections to ensure AI engines can accurately extract and index the content.

What is GEO optimization and how does it improve AI citations?

GEO optimization identifies and improves the readiness of public web content for AI engines by validating structured data, enforcing clear heading structures, and verifying author attribution and publication dates to help content creators earn higher AI citations.

Do I need structured data and schema.org markup for AI engines to cite my content?

Yes, structured data and schema.org JSON-LD markup are required for AI engines to accurately extract and index your web content, significantly improving the likelihood that your pages will be cited in AI-generated responses.

How do I check if my heading structure is optimized for AI extraction?

To check if your heading structure is optimized for AI extraction, audit your pages for proper H1 and H2 hierarchy to ensure content readability and extractability meet the structural requirements of AI systems.

Can I run a GEO audit on any public-facing product page?

Yes, you can apply a GEO audit to any public-facing product page within a project to assess AI citation readiness by validating structured data, author attribution, publication dates, FAQs, and content hierarchy.

What trust signals does AI citation readiness require for content hierarchy?

AI citation readiness requires trust signals including proper author attribution, accurate publication dates, clear H1 and H2 heading structures, and data-backed claims to strengthen content freshness and reliability for AI extraction.