A comprehensive framework and toolset to optimize web content for discovery and citation by Generative AI engines like Perplexity, ChatGPT, and Google AI Overviews.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install geo-optimization
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-optimization 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-Optimization (GEO) for AI Search?
Generative Engine Optimization (GEO) represents the next evolution of search visibility, shifting the focus from traditional SERP rankings to becoming the primary source for AI-generated answers. This skill provides a structured methodology to make web content parseable, quotable, and authoritative for LLMs. By utilizing the Openclaw Skills geo-optimization framework, developers and marketers can transition from outdated keyword-centric strategies to semantic, entity-based optimization.
The skill incorporates technical protocols, content templates, and automated monitoring to ensure your brand or product is correctly cited in conversational search environments. It addresses the specific nuances of different platforms, from the retrieval-augmented generation (RAG) layers of Perplexity to the heavy E-E-A-T weightings in Google AI Overviews, making it an essential tool for modern digital discoverability within the Openclaw Skills ecosystem.
Geo-Optimization (GEO) for AI Search Use Cases
- Optimizing brand pages to ensure accurate entity recognition and definition in ChatGPT and Claude.
- Improving citation rates in Perplexity AI by integrating specific, quotable statistics and factual density.
- Creating LLM-optimized comparison tables to capture "best alternative" and product comparison queries.
- Implementing technical protocols like llms.txt and FAQ schema to facilitate easier AI agent parsing.
- Monitoring AI search visibility and citation share of voice through automated daily reporting scripts.
How Geo-Optimization (GEO) for AI Search Works
- Conduct a GEO Audit using the 70-point checklist to evaluate entity clarity, factual density, and structural readiness.
- Restructure existing content using specialized templates for Entity Definitions, Comparisons, and FAQ pages to ensure data is extractable in standalone sentences.
- Deploy technical SEO signals including JSON-LD schema (FAQ, Organization, Product) and the llms.txt protocol at the site root.
- Configure the automated monitoring tools by providing a Perplexity API key to establish a baseline citation rate for target queries.
- Execute regular visibility tests to track how AI engines synthesize your content and adjust formatting based on citation performance.
Geo-Optimization (GEO) for AI Search Setup
To begin using this skill for your Openclaw Skills projects, follow these installation steps:
- Ensure Python 3.x is installed in your environment.
- Obtain a Perplexity API key and configure it within your environment variables for the monitoring scripts.
- Test the baseline visibility for your domain:
python3 scripts/geo-monitor.py --test
- Define your target keywords in
scripts/geo-test-queries.jsonto categorize queries by brand, product, or competitor. - (Optional) Automate your reporting by adding the monitoring script to your system cron:
0 9 * * * cd /path/to/skill && bash scripts/geo-daily-monitor.sh
Geo-Optimization (GEO) for AI Search Data Schema & Taxonomy
The geo-optimization skill utilizes a structured data approach to organize content and track performance across AI platforms:
| Component | Type | Description |
|---|---|---|
| Audit Score | Numerical | A score (0-70) measuring GEO readiness across 7 key categories. |
| llms.txt | Markdown | A root-level discovery file summarizing site sections and key facts for AI crawlers. |
| JSON-LD Schema | JSON | Structured markup for Organizations, Products, and FAQs to enhance semantic understanding. |
| Visibility Metrics | JSON/CSV | Tracking data for citation rates, mention sentiment, and share of voice. |
Geo-Optimization (GEO) for AI Search Advanced Features
- Automated citation rate tracking to measure the percentage of AI responses that link back to your content.
- Platform-specific optimization strategies for Perplexity, SearchGPT, Claude, and Google AI Overviews.
- Content freshness automation prompts to maintain the recency signals critical for LLM retrieval.
- Entity-relationship mapping to explicitly define connections between your brand and known industry entities.
- Multi-category query monitoring including brand, product, comparison, and pain-point categories.
SKILL.md
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