What is the difference between SEO and GEO?

SEO focuses on ranking #1 on Google for clicks, while GEO (Generative Engine Optimization) focuses on being cited as a source within AI-generated responses from engines like Perplexity and ChatGPT.

How does the geo_checker.py script work?

The script performs an automated audit of your project path to evaluate content elements and technical signals that determine if your content is ready for AI engine citation.

Which AI search engines does this skill cover?

The skill provides specific strategies for Perplexity (numbered citations), ChatGPT (inline footnotes), Claude (contextual content), and Gemini (source sections).

What are the most important factors for AI citation?

AI engines prioritize semantic relevance (~40%), keyword matches (~20%), authority signals, and structured data like comparison tables and FAQs.

GEO Fundamentals

Name: GEO Fundamentals
Author: JantonioFC

byJantonioFC

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Marketing Automation

Optimizes web content and documentation for visibility and citation within generative AI search engines like Perplexity, ChatGPT, and Claude.

GEO Fundamentals is a specialized skill designed to help developers and content creators navigate the shift from traditional SEO to Generative Engine Optimization. It provides actionable frameworks for making content 'citable' by AI models, covering RAG retrieval factors, entity building, and technical schema implementation. By using the included auditing script and best-practice checklists, users can ensure their projects are structured to be recognized as authoritative sources by the leading AI crawlers and LLMs.

Key Features

01Technical guidance on implementing Article, Person, and FAQPage schema for AI discovery.

02Automated GEO auditing via a built-in Python script to check citation readiness.

03Strategic insights into RAG retrieval weights like semantic relevance and authority signals.

04Comprehensive checklists for AI-friendly content elements like TL;DRs and FAQ sections.

05Management strategies for AI user-agents including GPTBot, Claude-Web, and PerplexityBot.

062 GitHub stars

Use Cases

01Optimizing technical documentation to ensure it is cited as a source in AI-powered search results.

02Building digital entity authority to increase brand mentions within AI-generated responses.

03Auditing existing project content to improve its semantic relevance for LLM retrieval.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jantoniofc/skillsbank geo-fundamentals

For use in Claude.ai and ChatGPT

Key Features

01Technical guidance on implementing Article, Person, and FAQPage schema for AI discovery.

02Automated GEO auditing via a built-in Python script to check citation readiness.

03Strategic insights into RAG retrieval weights like semantic relevance and authority signals.

04Comprehensive checklists for AI-friendly content elements like TL;DRs and FAQ sections.

05Management strategies for AI user-agents including GPTBot, Claude-Web, and PerplexityBot.

062 GitHub stars

Use Cases

01Optimizing technical documentation to ensure it is cited as a source in AI-powered search results.

02Building digital entity authority to increase brand mentions within AI-generated responses.

03Auditing existing project content to improve its semantic relevance for LLM retrieval.