A specialized tool for Generative Engine Optimization (GEO) designed to help content creators get cited by AI agents like ChatGPT, Claude, and Perplexity.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install geo-optimizer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install geo-optimizer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is GEO Content Optimizer?
The GEO Content Optimizer is a specialized skill designed to bridge the gap between traditional search engine optimization and the new era of Generative Engine Optimization. While SEO focuses on ranking in list-based search results, GEO focuses on making content highly citable for AI models. This Openclaw Skills extension provides a systematic framework for analyzing and refactoring content to ensure it contains the authority signals, factual density, and structural clarity required for AI citation.
By leveraging an 8-dimension scoring system, the skill evaluates everything from definition clarity to source citations. It transforms generic claims into data-backed, quotable statements that AI systems like ChatGPT, Claude, and Perplexity prioritize when generating responses. This ensures your expertise is not just indexed, but actively used as a primary source in AI-first search environments.
GEO Content Optimizer Use Cases
- Refactoring blog posts and articles for AI compatibility and higher quotability in AI responses.
- Creating brand-new content strategies specifically targeted at competing in AI-first search environments.
- Adding authority signals and expert credentials that modern AI models recognize as markers of trust.
- Auditing existing documentation to improve its visibility for developers using AI-powered coding assistants.
- Converting prose-heavy content into AI-friendly Q&A formats and data-packed tables.
How GEO Content Optimizer Works
- Analyze the input content against the 8 core GEO dimensions, including factual density and structural clarity.
- Calculate a GEO Score out of 40 to determine the content's readiness for AI citation.
- Identify specific Quick Win optimization opportunities, such as adding statistics or expert bylines.
- Generate a GEO Audit report detailing specific dimension scores and recommended fixes.
- Output optimized content blocks, including citable definitions, key statistics with dates, and structured FAQ sections.
GEO Content Optimizer Setup
To use this skill within your AI environment, ensure the skill files are placed in your active skills directory. No external API keys are required as it functions as a logic-based optimization framework.
# Example of how to trigger the optimizer within Openclaw Skills
# Simply ask your agent:
"Perform a GEO audit on this article: [URL or Text]"
GEO Content Optimizer Data Schema & Taxonomy
The skill utilizes a multi-dimensional scoring matrix and structured output patterns to organize optimization data:
| Data Component | Description |
|---|---|
| GEO Dimensions | 8 specific metrics (1-5 scale) used to evaluate content authority and citability. |
| Scoring Matrix | A cumulative 40-point system categorized into AI-ready (32+), Needs optimization (24-31), or Major work (<23). |
| Output Templates | Standardized Markdown structures for definitions, stats, and FAQs to ensure consistency across Openclaw Skills workflows. |
| Integration Hooks | Metadata tags that allow the optimizer to compound with planning and writing skills. |
GEO Content Optimizer Advanced Features
- Multi-Agent Strategy: Integrates seamlessly with app-planning-skill to bake GEO principles into the earliest stages of content strategy.
- Automated Refactoring: Provides immediate Markdown-ready blocks for definitions and FAQs that are pre-formatted for high AI visibility.
- Dimension-Specific Interventions: Allows for targeted optimization focusing only on Low scoring areas like factual density or authority signals.
- Cross-Platform Compatibility: Specifically designed to address the citation patterns of Perplexity, ChatGPT, and Claude simultaneously within the Openclaw Skills ecosystem.
SKILL.md
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