GEO Optimization - OpenClaw Skill

Generative Engine Optimization (GEO) for AI search visibility. Optimize your content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews.

What is GEO?

GEO is the practice of optimizing content for AI-powered search engines and language models. Unlike traditional SEO which focuses on ranking on search engine results pages (SERPs), GEO focuses on getting cited in AI-generated responses.

Features

• 📊 GEO Audit Checklist - Comprehensive scoring system for content optimization
• 🎯 Citation Tactics - Proven strategies to get cited by AI engines
• 📝 Content Templates - Ready-to-use formats for GEO-optimized content
• 🔍 Entity Optimization - Techniques for clear entity definition
• 📈 Schema Markup - Structured data for better AI parsing
• 🧪 Testing Framework - Monitor your citations in real AI engines

Quick Start

1. Installation

# Via ClawHub (once published)
clawdhub install geo-optimization

# Via GitHub
git clone https://github.com/capt-marbles/geo-optimization ~/.openclaw/skills/geo-optimization

2. Run a GEO Audit

# Audit a webpage or content
geo-audit https://yourwebsite.com

# Get specific recommendations
geo-recommend yourpage.html

3. Generate GEO-Optimized Content

# Create comparison page
geo-generate comparison "Product A vs Product B"

# Generate FAQ section
geo-generate faq topic.txt

GEO vs SEO

Aspect	Traditional SEO	GEO
Goal	Rank on SERPs	Get cited in AI responses
Keywords	Exact match matters	Semantic understanding
Content style	Can be promotional	Must be factual, neutral
Structure	Headers for scanning	Headers + parseable data
Links	Backlinks for authority	Citations + entity mentions

Use Cases

Perfect for:

• B2B SaaS companies wanting to appear in AI research
• Product comparisons (vs competitors)
• Technical documentation that AI agents should cite
• Thought leadership content for industry authority
• E-commerce products that need AI visibility

Key Tactics

1. Entity Clarity - Define what/who you are in the first paragraph
2. Quotable Facts - Specific numbers and statistics
3. FAQ Coverage - Answer common questions directly
4. Comparison Tables - Definitive feature comparisons
5. Schema Markup - Structured data for AI parsing
6. Freshness Signals - Regular updates with timestamps

Documentation

See SKILL.md for complete documentation including:

• Full GEO audit checklist (60 points)
• Citation tactics and techniques
• Content templates
• Schema examples
• Testing framework

Real-World Example

Gameye vs Edgegap - See how this skill was used to optimize Gameye's competitive positioning for AI search visibility.

License

MIT

Author

Andrew Walker / Gameye Sales Team