What is GEO (Generative Engine Optimization)?

GEO is the practice of optimizing digital content to be selected, cited, and summarized by AI-powered search engines and LLMs like ChatGPT, Claude, and Perplexity.

Does this skill include automated tools?

Yes, it includes a geo_checker.py script that can be run to audit project paths for AI citation readiness and technical structural integrity.

How does the geo-fundamentals skill improve RAG performance?

It focuses on high-weight RAG factors such as semantic relevance, authority signals, and source diversity, providing specific content elements that AI engines prefer to extract.

Which AI search engines does this skill target?

The skill provides specific strategies for Perplexity (numbered citations), ChatGPT (custom GPTs), Claude (long-form context), and Gemini (SEO crossover).

GEO Fundamentals

Name: GEO Fundamentals
Author: claudiodearaujo

byclaudiodearaujo

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Marketing Automation

Optimizes content structure and technical signals to increase brand visibility and citation rates within AI search engines.

GEO Fundamentals is a specialized skill designed to navigate the shift from traditional SEO to Generative Engine Optimization. It provides developers and content strategists with a comprehensive framework for making content citable by AI agents like Perplexity, ChatGPT, and Claude. By focusing on RAG (Retrieval-Augmented Generation) retrieval factors, semantic relevance, and structured entity building, this skill helps ensure your data is the primary source used in generative AI responses. It includes actionable checklists for technical schema, AI crawler management, and an automated audit script to evaluate a project's AI-readiness.

Key Features

01Technical schema templates for Person, Article, and FAQPage data

02Entity-building frameworks to establish authority across generative engines

03Detailed RAG retrieval factor analysis for improved semantic matching

04AI crawler management strategies for GPTBot, Claude-Web, and PerplexityBot

05Automated GEO auditing via specialized Python scripts for citation readiness

061 GitHub stars

Use Cases

01Implementing structured data and schemas to help AI models extract and attribute information accurately

02Auditing web projects for AI-readiness to ensure content is accessible to LLM-based crawlers

03Optimizing documentation and blogs to be cited as primary sources by Perplexity and ChatGPT

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro geo-fundamentals

For use in Claude.ai and ChatGPT

Download Skill