geo-fundamentals

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

Updated Feb 27, 2026
One-click install
npx skills add https://github.com/keshavraj936/Pulse-AI --skill geo-fundamentals-keshavraj936
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: geo-fundamentals
Source: https://github.com/keshavraj936/Pulse-AI/tree/main/Inceptrix/.agent/skills/geo-fundamentals
Command: npx skills add https://github.com/keshavraj936/Pulse-AI --skill geo-fundamentals-keshavraj936

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 easily cited and understood by AI search engines like ChatGPT, Claude, and Perplexity, thereby increasing visibility and authority in AI-generated responses.

Core Features & Use Cases

  • AI Citation Readiness: Analyzes web pages for elements that AI engines prioritize for citation, such as structured data, clear headings, author attribution, and publication dates.
  • Content Optimization: Provides actionable checklists and identifies anti-patterns to improve content's chances of being featured in AI search results.
  • 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 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
How do I optimize web content for AI citations in ChatGPT and Perplexity?

To optimize web content for AI citations, you must structure HTML and JSX files with clear heading hierarchies, structured data, author attribution, and publication dates. This ensures AI search engines like ChatGPT and Perplexity can easily parse and reference your pages.

What is Generative Engine Optimization (GEO) and how does it work?

Generative Engine Optimization (GEO) is the process of formatting web content to increase its visibility in AI-generated responses. It works by auditing pages for AI-friendly elements like structured data, FAQ sections, lists, and tables to boost citation readiness.

How do I audit my web pages for AI search engine readiness?

You can audit web pages for AI search engine readiness by running a Python script that analyzes HTML, JSX, and TSX files. The script checks for critical elements like entity recognition, heading hierarchy, and structured data to ensure optimal visibility.

Does AI citation optimization require structured data and FAQ sections?

Yes, AI citation optimization requires structured data and FAQ sections because AI engines prioritize these elements for extracting and referencing information. Including lists, tables, and clear author attribution further improves your content's chances of being featured.

What is the best way to format HTML and JSX files for generative AI search engines?

The best way to format HTML and JSX files for generative AI search engines is to ensure a clear heading hierarchy and include structured data, publication dates, and entity recognition. Avoiding anti-patterns and adding FAQ sections also significantly improves AI citation probabilities.

Can I use a Python script to check my blog posts for Perplexity and Claude citation readiness?

Yes, you can use a Python script to check blog posts for Perplexity and Claude citation readiness. The script automatically audits public-facing HTML, JSX, and TSX files, providing actionable checklists to improve content visibility across AI platforms.