A generative engine optimization (GEO) tool that tracks if and how AI assistants like ChatGPT, Gemini, and Perplexity recommend your brand, product, or crypto token.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install riley-ai-visibility
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 riley-ai-visibility using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The AI-Visibility skill is an essential capability for modern digital marketers and growth teams looking to optimize for the AI-first search landscape. Often referred to as Generative Engine Optimization (GEO) or AI Engine Optimization (AEO), this tool tracks whether leading AI assistants—such as ChatGPT, Gemini, Perplexity, and Google AI Overviews—recommend specific brands, products, or crypto tokens within their respective categories.
As conversational search engines replace traditional query interfaces, understanding your brand's AI-visibility is critical. Integrated with Openclaw Skills, this agent-ready utility connects seamlessly to the x402 Agent Store to pull live, signed transactional data, scoring brand visibility on a 0-100 scale, ranking entire market categories, and delivering data-driven lead qualification insights.
Integrating the AI-Visibility capability with your Openclaw Skills workflow requires setting up the agentcash Model Context Protocol (MCP) tool. Follow these configuration steps:
agentcash MCP client.curl -X GET "https://store.agentexchange.work/samples"
curl -X GET "https://store.agentexchange.work/category/ranking?category=CRM%20software"
The AI-Visibility tool interfaces with the x402 API, returning highly structured JSON responses. Data configurations are categorized into key schemas:
| Property | Type | Description |
|---|---|---|
brand |
String | Target brand queried |
category |
String | Industry vertical used for context |
visibility_score |
Integer (0-100) | Numerical rank of recommendation frequency |
competitors_named |
Array | Competitors suggested by LLMs instead of target |
/brands/check): Establishes visibility rating (0-100) and extracts direct competitors. Price: $0.95./category/ranking): Aggregates recommendations across a target category. Price: $0.02./sales/qualify): Benchmarks lead domains against competitors. Price: $0.95./crypto/ai-visibility): Evaluates token recommendations by LLM networks. Price: $0.05./brands/visibility-index): Synthesizes 25 brands across 5 industries. Price: $0.005./signal): Continuous demand telemetry tracking active AI check queries. Price: $0.005.agentcash protocol to autonomously sign USDC transactions on Base, avoiding manual checkouts.Loading
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