geo-fundamentals
Scannednpx machina-cli add skill vudovn/antigravity-kit/geo-fundamentals --openclawGEO Fundamentals
Optimization for AI-powered search engines.
1. What is GEO?
GEO = Generative Engine Optimization
| Goal | Platform |
|---|---|
| Be cited in AI responses | ChatGPT, Claude, Perplexity, Gemini |
SEO vs GEO
| Aspect | SEO | GEO |
|---|---|---|
| Goal | #1 ranking | AI citations |
| Platform | AI engines | |
| Metrics | Rankings, CTR | Citation rate |
| Focus | Keywords | Entities, data |
2. AI Engine Landscape
| Engine | Citation Style | Opportunity |
|---|---|---|
| Perplexity | Numbered [1][2] | Highest citation rate |
| ChatGPT | Inline/footnotes | Custom GPTs |
| Claude | Contextual | Long-form content |
| Gemini | Sources section | SEO crossover |
3. RAG Retrieval Factors
How AI engines select content to cite:
| Factor | Weight |
|---|---|
| Semantic relevance | ~40% |
| Keyword match | ~20% |
| Authority signals | ~15% |
| Freshness | ~10% |
| Source diversity | ~15% |
4. Content That Gets Cited
| Element | Why It Works |
|---|---|
| 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 |
5. 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
6. Entity Building
| Action | Purpose |
|---|---|
| Google Knowledge Panel | Entity recognition |
| Wikipedia (if notable) | Authority source |
| Consistent info across web | Entity consolidation |
| Industry mentions | Authority signals |
7. AI Crawler Access
Key AI User-Agents
| Crawler | Engine |
|---|---|
| GPTBot | ChatGPT/OpenAI |
| Claude-Web | Claude |
| PerplexityBot | Perplexity |
| Googlebot | Gemini (shared) |
Access Decision
| Strategy | When |
|---|---|
| Allow all | Want AI citations |
| Block GPTBot | Don't want OpenAI training |
| Selective | Allow some, block others |
8. Measurement
| Metric | How to Track |
|---|---|
| AI citations | Manual monitoring |
| "According to [Brand]" mentions | Search in AI |
| Competitor citations | Compare share |
| AI-referred traffic | UTM parameters |
9. Anti-Patterns
| ❌ Don't | ✅ Do |
|---|---|
| Publish without dates | Add timestamps |
| Vague attributions | Name sources |
| Skip author info | Show credentials |
| Thin content | Comprehensive coverage |
Remember: AI cites content that's clear, authoritative, and easy to extract. Be the best answer.
Script
| Script | Purpose | Command |
|---|---|---|
scripts/geo_checker.py | GEO audit (AI citation readiness) | python scripts/geo_checker.py <project_path> |
Source
git clone https://github.com/vudovn/antigravity-kit/blob/main/.agent/skills/geo-fundamentals/SKILL.mdView on GitHub Overview
GEO is Generative Engine Optimization for AI search engines like ChatGPT, Claude, Perplexity, and Gemini. It emphasizes making data easy to extract and highly citables for AI systems, focusing on entities and authoritative sources rather than traditional keyword rankings. This approach helps your content surface as a cited knowledge source in AI responses.
How This Skill Works
GEO analyzes AI retrieval factors (semantic relevance, keyword match, authority signals, freshness, and source diversity) to shape content. It promotes original statistics, expert quotes, clear definitions, step-by-step guides, and structured data like comparison tables and FAQs, while ensuring technical readiness with schemas, author data, and fast loading for AI citation extraction.
When to Use It
- You want AI-generated answers to cite your data or brand
- Publishing technical content that AI tools extract for responses
- Creating reference materials with verifiable data and quotes
- Delivering step-by-step guides with clear definitions and tables
- Ensuring your pages include required schema, author info, and freshness
Quick Start
- Step 1: Run GEO audit (python scripts/geo_checker.py <project_path>)
- Step 2: Add original data, sources, expert quotes, and a FAQ with 3-5 Q&As
- Step 3: Publish with article and author schema, include last updated timestamp, and optimize for speed (< 2.5s)
Best Practices
- Use question-based titles to cue AI for direct answers
- Include a concise Summary/TL;DR at the top
- Publish original data with sources and clear attributions
- Incorporate expert quotes with names and titles
- Provide an FAQ section with 3-5 Q&As and proper schemas
Example Use Cases
- Industry benchmark report that includes original data, sources, and a table
- An expert-quoted article with named contributors and credentials
- A step-by-step guide with actionable steps and numbers
- A feature-comparison table summarizing options with citations
- An FAQPage-rich article with clear definitions and last-updated timestamps
