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namninhnd
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geo-fundamentals

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

Updated Jan 16, 2026
Search Tags:#content optimization#seo#chatgpt#perplexity#generative ai#ai citation
One-click install
npx skills add https://github.com/namninhnd/PrelimStruct --skill geo-fundamentals-namninhnd
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: geo-fundamentals
Source: https://github.com/namninhnd/PrelimStruct/tree/main/.claude/skills/geo-fundamentals
Command: npx skills add https://github.com/namninhnd/PrelimStruct --skill geo-fundamentals-namninhnd

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 Perplexity, ChatGPT, and Gemini, thereby increasing visibility and authority.

Core Features & Use Cases

  • AI Citation Readiness: Analyzes web pages for elements that AI crawlers prioritize, such as structured data, clear headings, author attribution, and original data.
  • Content Audit: Identifies missing elements and provides actionable feedback to improve a page's chances of being referenced in AI-generated answers.
  • Use Case: A content marketer can use this Skill to audit their blog posts before publishing, ensuring they include the necessary components (like FAQs, author bios, and publication dates) that AI engines look for.

Quick Start

Run the geo_checker.py script on the current directory to audit its 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 content for AI citations in search engines like Perplexity and ChatGPT?▼

To optimize content for AI citations, you must audit web pages for structured data, clear headings, author attribution, and original data. This ensures AI crawlers can easily parse and reference your pages in generated answers.

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

You can audit web pages for AI citation readiness by running a Python script on your project directory. It analyzes HTML, JSX, and TSX files to score their readiness and identify missing elements like publication dates.

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

AI search engines look for structured data, clear content organization, author attribution, publication dates, and original data when citing web content. Including these elements increases your chances of being referenced in AI-generated answers.

Does the AI citation readiness audit include documentation and configuration files?▼

No, the AI citation readiness audit specifically excludes documentation and configuration files. It targets only HTML, JSX, and TSX files to ensure your public web content is properly optimized for AI engine retrieval.

Can I use this content audit for TypeScript and React projects?▼

Yes, you can use this content audit for TypeScript and React projects because it explicitly targets JSX and TSX files. It analyzes these components to ensure they contain the necessary structured data and author attribution for AI crawlers.

What is the best way to check if my blog posts are ready for generative AI search engines?▼

The best way to check if blog posts are ready for generative AI search engines is to run an automated analysis script. It scores your content against AI crawler priorities like structured data, FAQs, author bios, and publication dates.

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