Overview
The GEO (Generative Engine Optimization) Fundamentals skill teaches how to optimize content for AI-powered search engines. Unlike traditional SEO which focuses on ranking in Google, GEO focuses on being cited in AI responses from ChatGPT, Claude, Perplexity, and Gemini.What This Skill Provides
- SEO vs GEO comparison: Understanding the shift from rankings to AI citations
- AI engine landscape: Citation styles for Perplexity, ChatGPT, Claude, Gemini
- RAG retrieval factors: How AI engines select content to cite
- Citation-worthy content: Original statistics, expert quotes, clear definitions
- GEO content checklist: Content and technical elements for AI citation
- Entity building: Creating authority signals AI engines recognize
- AI crawler management: Deciding which AI crawlers to allow
- Measurement techniques: Tracking AI citations and mentions
- Automated auditing: GEO checker script for citation readiness
Use Cases
- Getting content cited in AI search engine responses
- Building authority that AI engines recognize
- Optimizing content for RAG (Retrieval-Augmented Generation) systems
- Managing AI crawler access to your content
- Tracking and measuring AI citation rates
- Creating structured, extract-friendly content
Related Skills
- SEO Fundamentals - Traditional search optimization
- Documentation Templates - Structured content
- API Patterns - Schema markup implementation
Which Agents Use This Skill
This skill is commonly used by:- Content strategists optimizing for AI search
- Technical writers creating citation-worthy documentation
- Marketing teams building brand authority in AI responses
- Product managers planning content strategies for AI discovery
Key Principles
SEO vs GEO
| Aspect | SEO | GEO |
|---|---|---|
| Goal | #1 ranking | AI citations |
| Platform | AI engines | |
| Metrics | Rankings, CTR | Citation rate |
| Focus | Keywords | Entities, data |
RAG Retrieval Factors
- Semantic relevance: ~40%
- Keyword match: ~20%
- Authority signals: ~15%
- Freshness: ~10%
- Source diversity: ~15%
Content That Gets Cited
- Original statistics: Unique, citable data
- Expert quotes: Authority transfer
- Clear definitions: Easy to extract
- Step-by-step guides: Actionable value
- Comparison tables: Structured info
- FAQ sections: Direct answers
AI Engine Citation Styles
- Perplexity: Numbered citations [1][2] - highest citation rate
- ChatGPT: Inline/footnotes - custom GPTs opportunity
- Claude: Contextual citations - favors long-form content
- Gemini: Sources section - SEO crossover
GEO Content Checklist
Content Elements
- Question-based titles
- Summary/TL;DR at top
- Original data with sources
- Expert quotes (name, title)
- FAQ section (3-5 Q&A)
- Clear definitions
- “Last updated” timestamp
- Author with credentials
Technical Elements
- Article schema with dates
- Person schema for author
- FAQPage schema
- Fast loading (< 2.5s)
- Clean HTML structure
Anti-Patterns
| Don’t | Do |
|---|---|
| Publish without dates | Add timestamps |
| Vague attributions | Name sources |
| Skip author info | Show credentials |
| Thin content | Comprehensive coverage |
Tools
The skill includes ageo_checker.py script for auditing AI citation readiness: