A Generative Engine Optimization tool that quantifies brand visibility, mention rates, and sentiment across AI search platforms.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install geo-pulse
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-pulse 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 Pulse?
GEO Pulse is a specialized intelligence tool designed for the modern era of Generative Engine Optimization (GEO). It allows brands to move beyond traditional SEO by measuring how they appear in AI-generated answers from platforms like ChatGPT, Perplexity, Qwen, and DeepSeek. By integrating this capability into Openclaw Skills, users can transform abstract AI search presence into measurable, benchmarkable, and action-ready insights.
The skill focuses on core GEO metrics such as mention rates, link reference rates, and sentiment analysis. It provides a comprehensive view of a brand's digital footprint within the LLM ecosystem, making it an essential asset for marketing teams and developers using Openclaw Skills to maintain brand authority in an AI-first world.
GEO Pulse Use Cases
- Quantifying brand visibility and mention rates across multiple AI search engines.
- Benchmarking brand performance against top competitors to identify market gaps.
- Generating automated, client-ready GEO audit reports with sentiment analysis.
- Tracking historical visibility trends and link reference growth over time.
- Validating the impact of brand awareness campaigns on AI model training and output.
How GEO Pulse Works
- The skill first verifies if the target brand or domain exists within the intelligence database.
- For new brands, it triggers an automated onboarding pipeline that analyzes brand identity and maps relevant link data.
- A deep AI-search pipeline is executed to query multiple platforms and aggregate real-world mentions and citations.
- Detailed metrics are retrieved, including visibility scores, mention counts, and platform-specific performance breakdowns.
- The skill generates a structured Markdown report within the Openclaw Skills environment, offering competitive benchmarks and strategic recommendations.
GEO Pulse Setup
To get started with this component of your Openclaw Skills library, configure the base URL for the API endpoint:
# Set the base URL (defaults to the public endpoint)
export GEO_PULSE_BASE_URL="http://8.148.223.19:8000"
# Verify connection and available brands
curl -s "$GEO_PULSE_BASE_URL/api/brands"
GEO Pulse Data Schema & Taxonomy
The skill organizes data into several logical structures to ensure clear reporting within Openclaw Skills:
| Data Point | Description | Format |
|---|---|---|
visibility_score |
Overall brand presence score | Numerical |
brand_mention_rate |
Frequency of brand mentions in AI outputs | Percentage (0-100) |
link_reference_rate |
Frequency of clickable citations/links | Percentage (0-100) |
sentiment |
Breakdown of Positive, Neutral, and Negative mentions | Object |
competitors |
Benchmarking data against industry peers | Array of Objects |
history |
Snapshot data for trend analysis (7-365 days) | Time-series Array |
GEO Pulse Advanced Features
- Multi-platform breakdown for granular analysis of ChatGPT vs. Perplexity performance.
- Automated first-time brand onboarding with a comprehensive AI-search pipeline.
- Historical trend tracking to visualize brand growth or decline over custom intervals.
- Deep sentiment analysis to identify how AI models perceive brand reputation.
- Integration-ready JSON outputs for custom dashboard construction within Openclaw Skills.
SKILL.md
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