A professional Generative Engine Optimization (GEO) diagnostic tool that identifies why AI systems fail to discover or cite your website.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install geo-audit
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install geo-audit using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The GEO Audit skill is a sophisticated diagnostic agent designed to help developers and marketers navigate the era of AI-driven search. It performs a comprehensive analysis of a website across four critical dimensions: Technical Accessibility, Content Citability, Structured Data, and Brand Signals. By simulating how modern LLMs and generative engines perceive a site, it provides a data-backed assessment of your digital footprint within the framework of Openclaw Skills.
Built on a research-backed 3-layer model, this skill goes beyond traditional SEO to focus on Generative Engine Optimization (GEO). It evaluates how likely your content is to be used as a primary source by platforms like ChatGPT, Perplexity, and Claude, ensuring your brand remains authoritative and discoverable as user behavior shifts from search engines to AI agents.
To integrate this diagnostic capability into your workflow using Openclaw Skills, ensure you have the subagent instruction files located in the references/agents/ directory.
# Navigate to your skills directory
cd path/to/your/agent/skills
# Ensure the geo-audit files are present
ls geo-audit/references/agents/
# Expected: geo-technical.md, geo-citability.md, geo-schema.md, geo-brand.md
Once files are in place, you can trigger the audit by providing any URL to the agent and asking for a GEO audit.
The skill produces a detailed Markdown report and maintains a machine-readable metadata block for historical tracking. The data is organized as follows:
| Dimension | Weight | Primary Focus |
|---|---|---|
| Technical | 20% | AI crawler access, rendering, and meta header signals. |
| Citability | 35% | Answer block quality, statistical density, and expertise signals. |
| Schema | 20% | Core identity schema (JSON-LD) and content-specific markup. |
| Brand | 25% | Entity recognition, community signals, and third-party presence. |
All reports include a GEO-AUDIT-META block containing the domain, date, business type, and individual dimension scores.
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