geo-fundamentals

Audit HTML, JSX, and TSX files for AI citation readiness.

Updated Jan 31, 2026
One-click install
npx skills add https://github.com/DaytimeBlues/ADHD-CADDI --skill geo-fundamentals-daytimeblues
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: geo-fundamentals
Source: https://github.com/DaytimeBlues/ADHD-CADDI/tree/main/.agent/skills/geo-fundamentals
Command: npx skills add https://github.com/DaytimeBlues/ADHD-CADDI --skill geo-fundamentals-daytimeblues

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps content creators and SEO professionals optimize their web content to be more easily discovered, understood, and cited by AI-powered search engines like ChatGPT, Perplexity, and Claude.

Core Features & Use Cases

  • AI Citation Strategy: Understand the differences between SEO and GEO (Generative Engine Optimization) and how AI engines select content.
  • Content Audit: Use the geo_checker.py script to audit web pages for elements that AI engines favor, such as structured data, author attribution, and clear headings.
  • Use Case: A marketing team wants their new blog post about sustainable energy to appear in AI chatbot responses. They use this Skill to ensure the post includes original statistics, expert quotes, and is formatted with schema markup, increasing its chances of being cited.

Quick Start

Run the geo_checker.py script on your project directory to audit your web pages for 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 optimize web content for citation by AI search engines?

To optimize web content for citation by AI search engines, you must enhance semantic relevance, add authority signals, and include structured data. This process ensures AI crawlers can easily access, recognize entities, and cite elements like original statistics.

What is the difference between SEO and Generative Engine Optimization?

Generative Engine Optimization focuses on optimizing content for citation by AI-powered search engines like ChatGPT and Perplexity, whereas traditional SEO targets ranking in standard search engine results pages. GEO emphasizes entity recognition and citable elements.

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

You can audit web pages for AI citation readiness by running a Python script across your project directory. This script analyzes HTML, JSX, and TSX files to check for AI crawler access, structured data, and clear headings.

Does the AI citation audit work with JSX and TSX files?

Yes, the AI citation audit works with JSX and TSX files. The Python script analyzes these formats alongside standard HTML to evaluate structured data, author attribution, and semantic relevance for generative AI engines.

What elements do AI search engines look for when citing content?

AI search engines look for semantic relevance, authority signals, and structured data when citing content. They specifically favor web pages that include original statistics, expert quotes, clear definitions, and proper schema markup.