geo-fundamentals

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

1|Updated Sep 25, 2025
One-click install
npx skills add https://github.com/arroschaves/brandaocontador-site --skill geo-fundamentals-arroschaves
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: geo-fundamentals
Source: https://github.com/arroschaves/brandaocontador-site/tree/main/.agent/skills/geo-fundamentals
Command: npx skills add https://github.com/arroschaves/brandaocontador-site --skill geo-fundamentals-arroschaves

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

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

Core Features & Use Cases

  • AI Citation Readiness: Analyzes web pages for elements that AI engines prioritize for citations, such as structured data, clear headings, author attribution, and original statistics.
  • Content Audit: Identifies missing elements and provides actionable feedback to improve a page's chances of being featured in AI-generated responses.
  • Use Case: A content marketer can use this Skill to audit a new blog post before publishing, ensuring it includes all the necessary components (like FAQs, author bios, and clear definitions) that AI search engines look for, thereby increasing its visibility and citation rate.

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 audit my web content for AI search engine citations?

You can audit web content for AI search citations by running a Python script that checks HTML, JSX, and TSX files for structured data, heading hierarchy, author attribution, publication dates, FAQ sections, lists, tables, entity recognition, original statistics, and direct answer patterns.

What makes a web page ready to be cited by AI search engines like ChatGPT and Perplexity?

AI search engine citation readiness requires web pages to include structured data, clear heading hierarchy, author attribution, publication dates, FAQ sections, lists, tables, entity recognition, original statistics, and direct answer patterns to improve content discoverability.

Can I use this content optimization script on my JSX and TSX files?

Yes, the content optimization script targets HTML, JSX, and TSX files directly, analyzing them for AI citation readiness while automatically excluding configuration and test files from the audit process.

How do I check if my blog post has the right structured data for AI search engines?

To check structured data for AI search engines, run the Python audit script on your project directory to identify missing elements in your blog post and receive actionable feedback to improve its visibility and citation rate.

What are the limitations of using a Python script for AI citation readiness audits?

The Python script limitation is that it only audits HTML, JSX, and TSX files for structural elements like headings and structured data, excluding configuration and test files, meaning it cannot assess content quality or context beyond these specific structural patterns.