geo-fundamentals

Audit web pages against GEO best practices using a Python script.

Updated Feb 28, 2026
One-click install
npx skills add https://github.com/lucasfdigital/Orchard --skill geo-fundamentals-lucasfdigital
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: geo-fundamentals
Source: https://github.com/lucasfdigital/Orchard/tree/main/skills/geo-fundamentals
Command: npx skills add https://github.com/lucasfdigital/Orchard --skill geo-fundamentals-lucasfdigital

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps content creators and SEO professionals adapt their strategies to the new landscape of AI-powered search engines, ensuring their content is discoverable and cited by AI models like ChatGPT, Claude, and Perplexity.

Core Features & Use Cases

  • GEO vs. SEO: Understand the fundamental differences between Search Engine Optimization (SEO) and Generative Engine Optimization (GEO).
  • AI Citation Factors: Learn what makes content likely to be cited by AI, focusing on semantic relevance, authority, and structured data.
  • Content Checklist: Implement a comprehensive checklist for creating GEO-optimized content, including technical and on-page elements.
  • Use Case: A marketing team wants to ensure their new blog post about sustainable fashion is not only found on Google but also frequently referenced by AI assistants when users ask about eco-friendly clothing. This Skill provides the framework to achieve that.

Quick Start

Run the geo_checker.py script in 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
What is Generative Engine Optimization and how does it differ from traditional SEO?

Generative Engine Optimization (GEO) is the process of optimizing web content to be cited by AI search engines like ChatGPT and Perplexity. Unlike traditional SEO, GEO focuses on semantic relevance, structured data, and authority to improve AI discoverability.

How do I optimize content for AI search engines like ChatGPT and Perplexity?

To optimize content for AI search engines, you should structure your data clearly, include original statistics, and ensure proper author attribution. Running a GEO audit script analyzes your web pages against these best practices to increase AI citation readiness.

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

You can audit your web pages for AI citation readiness by running the geo_checker.py script in your project directory. This script evaluates your content structure, data presentation, and technical elements against GEO best practices.

Does GEO require structured data and author attribution to work?

Yes, GEO utilizes structured data and author attribution. These elements help AI models verify semantic relevance and authority, making your content more likely to be discovered and cited by AI search engines.

Can I use GEO optimization for my existing blog posts?

Yes, you can apply GEO optimization to existing blog posts by auditing them for AI citation factors. The GEO checker script analyzes your current content structure and technical elements to identify areas for improvement.