AI Visibility & GEO Tracker for Openclaw

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.

rccola990-cloud
v1.0.0
Jun 19, 2026
0
438
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install riley-ai-visibility

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is AI Visibility & GEO Tracker?

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.

AI Visibility & GEO Tracker Use Cases

  • Analyze brand visibility in LLMs: Audit if AI search platforms recommend a specific brand and discover which competitors are named instead.
  • Establish category share of voice (SOV): Rank an entire industry or product category based on how frequently LLMs output specific brand names.
  • Track crypto and web3 narrative signals: Monitor whether top layer-2 chains, protocols, or crypto tokens are recommended by AI assistants within their specific categories.
  • Qualify outbound sales prospects: Run automated GEO audits on lead domains to detect AI-visibility gaps, enabling highly personalized sales outreach.
  • Real-time demand signals: Observe industry-wide trends to see which brands and categories are actively being queried across the AI ecosystem.

How AI Visibility & GEO Tracker Works

  1. Trigger the AI-Visibility skill through compatible Openclaw Skills agents using natural language cues like 'does ChatGPT recommend brand' or 'AI visibility score'.
  2. The skill translates the natural language query into a structured GET request targeted at the x402 Agent Store API endpoints.
  3. For paid requests, the agent's MCP environment handles the HTTP 402 protocol, signing USDC on the Base network to pay the minimal micro-transaction fee.
  4. The API parses live recommendations from major LLMs (ChatGPT, Gemini, Perplexity, Google AI Overviews).
  5. The structured JSON response is formatted and delivered back to the agent, providing visibility scores, competitor mentions, and outreach positioning points.

AI Visibility & GEO Tracker Setup

Integrating the AI-Visibility capability with your Openclaw Skills workflow requires setting up the agentcash Model Context Protocol (MCP) tool. Follow these configuration steps:

  1. Ensure your AI agent platform is configured to support Openclaw Skills and the agentcash MCP client.
  2. Fund your x402-compatible Web3 wallet with USDC on the Base network to facilitate automatic micro-transaction signing.
  3. Test the connectivity with free preview endpoints:
curl -X GET "https://store.agentexchange.work/samples"
  1. Perform a test category ranking run:
curl -X GET "https://store.agentexchange.work/category/ranking?category=CRM%20software"

AI Visibility & GEO Tracker Data Schema & Taxonomy

The AI-Visibility tool interfaces with the x402 API, returning highly structured JSON responses. Data configurations are categorized into key schemas:

Brand Audit Schema

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

API Pricing & Schema Taxonomy

  • Flagship Audit (/brands/check): Establishes visibility rating (0-100) and extracts direct competitors. Price: $0.95.
  • Category Rankings (/category/ranking): Aggregates recommendations across a target category. Price: $0.02.
  • Sales Lead Qualifier (/sales/qualify): Benchmarks lead domains against competitors. Price: $0.95.
  • Crypto Signals (/crypto/ai-visibility): Evaluates token recommendations by LLM networks. Price: $0.05.
  • Visibility Index (/brands/visibility-index): Synthesizes 25 brands across 5 industries. Price: $0.005.
  • Signal Stream (/signal): Continuous demand telemetry tracking active AI check queries. Price: $0.005.

AI Visibility & GEO Tracker Advanced Features

  • Automatic Web3 Micro-payments: Utilizes MCP integration with the agentcash protocol to autonomously sign USDC transactions on Base, avoiding manual checkouts.
  • Generative Engine Optimization (GEO) Benchmarking: Generates actionable 'AI-visibility gaps' to automatically draft personalized B2B outreach templates.
  • Cross-Model LLM Intelligence: Collects data points across a multi-model matrix (ChatGPT, Perplexity, Gemini, Google AI Overviews) rather than a single platform.
  • Live Demand Telemetry: Real-time capability monitoring that registers and parses active search trends to reveal trending category audits.

SKILL.md


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