geo-fundamentals

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

Updated Jan 27, 2026
One-click install
npx skills add https://github.com/LeonMelamud/inspector-agents --skill geo-fundamentals-leonmelamud
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: geo-fundamentals
Source: https://github.com/LeonMelamud/inspector-agents/tree/main/.agents/skills/geo-fundamentals
Command: npx skills add https://github.com/LeonMelamud/inspector-agents --skill geo-fundamentals-leonmelamud

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires re, sys, json, pathlib, and includes scripts (resource) components.

What problem does it solve?

This Skill helps content creators and SEO professionals ensure their web pages are recognized and cited by AI-powered search engines like ChatGPT, Perplexity, and Claude, improving visibility and authority in AI-generated responses.

Core Features & Use Cases

  • AI Citation Optimization: Understand and implement strategies to get your content cited in AI search results.
  • GEO vs. SEO: Differentiate between traditional Search Engine Optimization and Generative Engine Optimization.
  • Content Analysis: Identify elements that AI engines prioritize for citation, such as original statistics, expert quotes, and structured data.
  • Technical Audit: Use the included script to audit web pages for AI citation readiness, checking for structured data, author attribution, dates, and more.
  • Use Case: A content marketer wants to increase the chances of their blog posts being referenced by Perplexity. They use this Skill to learn about GEO best practices and run the geo_checker.py script to identify areas for improvement on their articles.

Quick Start

Run the geo checker 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 my web content for AI search citations in engines like ChatGPT and Perplexity?

To optimize web content for AI search citations, you need to enhance structured data, semantic relevance, and authority signals so generative engines can easily parse and reference your pages. This involves adding JSON-LD, proper headings, author attribution, and publication dates.

What is the difference between Generative Engine Optimization and traditional SEO?

Generative Engine Optimization focuses on getting content cited by AI-powered search engines like ChatGPT, whereas traditional SEO targets ranking positions in standard search engine result pages. GEO prioritizes elements like structured data, original statistics, and expert quotes for AI visibility.

How can I audit my HTML and JSX files for AI citation readiness?

You can audit HTML, JSX, and TSX files for AI citation readiness by running an automated Python script that analyzes your project directory. It checks for essential elements like JSON-LD structured data, heading structures, author attribution, and publication dates.

Does AI search citation optimization work with React and TypeScript web projects?

Yes, AI search citation optimization works with React and TypeScript projects by analyzing JSX and TSX files directly. The auditing script parses these file formats to identify missing authority signals and structured data required by generative engines.

What specific content elements do AI search engines prioritize for citation?

AI search engines prioritize content elements such as original statistics, expert quotes, and structured data like JSON-LD. They also look for clear semantic relevance, proper heading structures, author attribution, and visible publication dates.