geo-fundamentals

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

6|Updated Feb 6, 2026
One-click install
npx skills add https://github.com/paulojalowyj/openkit --skill geo-fundamentals-paulojalowyj
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: geo-fundamentals
Source: https://github.com/paulojalowyj/openkit/tree/main/.opencode/skills/geo-fundamentals
Command: npx skills add https://github.com/paulojalowyj/openkit --skill geo-fundamentals-paulojalowyj

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

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

Core Features & Use Cases

  • AI Citation Readiness: Analyzes web content for elements that AI engines prioritize for citation, such as structured data, author attribution, and clear definitions.
  • GEO vs. SEO: Differentiates between traditional SEO and Generative Engine Optimization (GEO), focusing on AI citation rates over search rankings.
  • Use Case: A marketing team can use this Skill to audit their blog posts and product pages, identifying specific improvements needed to increase the likelihood of their content being featured in AI search results.

Quick Start

Run the geo_checker.py script in your project path 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
What is generative engine optimization and how does it differ from traditional SEO?

Generative engine optimization (GEO) focuses on improving AI citation rates in AI search engines like ChatGPT and Perplexity, whereas traditional SEO targets search ranking positions. This Skill audits content specifically for AI citation readiness.

How do I optimize my web content for AI search citations?

To optimize content for AI search citations, run the provided Python script to audit HTML, JSX, and TSX files. It checks for structured data, author attribution, publication dates, FAQ sections, lists, and tables to improve AI response visibility.

Can I audit JSX and TSX files for AI citation readiness?

Yes, you can audit JSX and TSX files for AI citation readiness. The script analyzes these web content files for structured data, entity recognition, and clear definitions to ensure AI search engines recognize and cite them.

What elements does an AI citation readiness audit check?

An AI citation readiness audit checks web content for structured data, author attribution, publication dates, FAQ sections, lists, tables, and entity recognition. These elements are prioritized by AI engines to improve citation rates.

Do I need Python to check my web pages for AI search visibility?

Yes, you need Python to run the automated checks for AI search visibility. The Skill utilizes Python scripts to analyze your project path and audit public web content elements required for generative engine optimization.