geo-fundamentals

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

Updated Jan 8, 2026

Search Tags:#content optimization #seo #chatgpt #perplexity #geo #ai citation

Ready to run

npx skills add https://github.com/VoTruongDanh/AI_Cafe --skill geo-fundamentals-votruongdanh

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: geo-fundamentals
Source: https://github.com/VoTruongDanh/AI_Cafe/tree/main/ai-service/.agent/skills/geo-fundamentals
Command: npx skills add https://github.com/VoTruongDanh/AI_Cafe --skill geo-fundamentals-votruongdanh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps content creators optimize their web pages to be more likely to be cited by AI search engines like ChatGPT, Perplexity, and Claude, thereby increasing visibility and authority.

Core Features & Use Cases

AI Citation Readiness Audit: Analyzes web pages for elements that AI engines favor for citation, such as structured data, author attribution, dates, and clear content organization.
Identify Optimization Gaps: Pinpoints missing elements like JSON-LD schema, author information, or FAQ sections that hinder AI citation.
Use Case: A content marketer can use this Skill to audit their blog posts before publishing, ensuring they meet the criteria for being cited by AI search engines, thus driving more qualified traffic.

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 my web content for AI search citations in ChatGPT and Perplexity?▼

To optimize web content for AI search citations, you must audit HTML and JSX files for structured data, author attribution, publication dates, and FAQ sections favored by generative engines. This process identifies optimization gaps to improve content visibility in AI-generated responses.

What elements make a web page ready for generative engine optimization?▼

Generative engine optimization requires pages to contain structured data like JSON-LD schema, clear author attribution, visible publication dates, FAQ sections, and strong entity recognition. These elements help AI search engines parse, trust, and cite your content accurately.

How do I audit my HTML and TSX project files for AI citation readiness?▼

You can audit HTML and TSX project files for AI citation readiness by running a Python script across your project directory. This script analyzes your codebase to identify missing structured data, author information, and FAQ sections that hinder AI visibility.

Does this AI citation audit work with React and TypeScript web projects?▼

Yes, the AI citation audit works with React and TypeScript web projects by directly analyzing JSX and TSX files. It scans these component files to pinpoint missing JSON-LD schema, author attribution, and publication dates required for AI search engines.

Why is my web content not being cited by AI search engines?▼

Your web content might not be cited by AI search engines if it lacks critical optimization elements such as structured data, author attribution, publication dates, or FAQ sections. An audit can identify these specific gaps preventing AI visibility.

What are the limitations of using automated scripts for generative engine optimization?▼

Automated scripts for generative engine optimization identify structural gaps like missing JSON-LD or FAQ sections in HTML and TSX files, but they cannot evaluate content quality, factual accuracy, or subjective entity relevance required to secure actual AI citations.