AI Visibility Scanner

Scan websites for AI visibility and marketing health with interactive dashboard.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Remote HTTP

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "ai-visibility-scanner": {
      "url": "https://ai-visibility-scanner-production.up.railway.app/mcp"
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

AI Visibility Scanner — MCP App

Scan any website for AI visibility and marketing health, with an interactive dashboard that renders inline in Claude and ChatGPT.

Live Endpoint

Code

https://ai-visibility-scanner-production.up.railway.app/mcp

Connect to Claude

Claude Desktop

Settings > Connectors > Add Custom Connector > paste:

Code

https://ai-visibility-scanner-production.up.railway.app/mcp

Claude Code

Terminal

claude mcp add ai-visibility-scanner --transport streamable-http https://ai-visibility-scanner-production.up.railway.app/mcp

Connect to ChatGPT

Settings > Apps > Developer Mode > Add MCP Server > paste:

Code

https://ai-visibility-scanner-production.up.railway.app/mcp

Usage

Once connected, just ask:

"Scan etherealmedia.ai for AI visibility"

The scanner will:

Probe infrastructure (robots.txt, sitemap, llms.txt, agent-card.json, etc.)
Analyze homepage + subpages (raw HTTP + Puppeteer JS rendering)
Score across 3 AI Visibility dimensions + 6 Marketing Health dimensions
Return interactive dashboard with findings and revenue impact estimates

Tools

Tool	Visibility	Description
`scan_website`	model + app	Full scan with scores, findings, revenue impact
`refresh_scan`	app only	Re-scan from the dashboard UI

Scores

GEO (Generative Engine Optimization): Schema, robots, sitemap, llms.txt
Multimodal: OG images, video, alt text, WebP/AVIF, srcset
Agent-Ready: llms.txt, agent-card.json, UCP, WebMCP, semantic HTML
Marketing Health: SEO, CTA/CRO, Trust, Analytics, Competitive, Growth

Development

Terminal

npm install
npm run serve    # Build UI + start MCP server on :3001

Deploy

Docker with Puppeteer/Chrome:

Terminal

docker build -t ai-visibility-scanner .
docker run -p 3001:3001 ai-visibility-scanner

Railway:

bash

railway up

Built by Ethereal Media — The Ethereal Forge

Read the full README →View source on GitHub →

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Frequently Asked Questions about AI Visibility Scanner

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "ai-visibility-scanner": { "command": "npx", "args": ["-y", "ai-visibility-scanner"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

35Quality signal: Fair · 35/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools15/30

Adoption & activity1/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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Documentation Overview

AI Visibility Scanner — MCP App

Scan any website for AI visibility and marketing health, with an interactive dashboard that renders inline in Claude and ChatGPT.

Live Endpoint

Code

https://ai-visibility-scanner-production.up.railway.app/mcp

Connect to Claude

Claude Desktop

Settings > Connectors > Add Custom Connector > paste:

Code

https://ai-visibility-scanner-production.up.railway.app/mcp

Claude Code

Terminal

claude mcp add ai-visibility-scanner --transport streamable-http https://ai-visibility-scanner-production.up.railway.app/mcp

Connect to ChatGPT

Settings > Apps > Developer Mode > Add MCP Server > paste:

Code

https://ai-visibility-scanner-production.up.railway.app/mcp

Usage

Once connected, just ask:

"Scan etherealmedia.ai for AI visibility"

The scanner will:

Probe infrastructure (robots.txt, sitemap, llms.txt, agent-card.json, etc.)
Analyze homepage + subpages (raw HTTP + Puppeteer JS rendering)
Score across 3 AI Visibility dimensions + 6 Marketing Health dimensions
Return interactive dashboard with findings and revenue impact estimates

Tools

Tool	Visibility	Description
`scan_website`	model + app	Full scan with scores, findings, revenue impact
`refresh_scan`	app only	Re-scan from the dashboard UI

Scores

GEO (Generative Engine Optimization): Schema, robots, sitemap, llms.txt
Multimodal: OG images, video, alt text, WebP/AVIF, srcset
Agent-Ready: llms.txt, agent-card.json, UCP, WebMCP, semantic HTML
Marketing Health: SEO, CTA/CRO, Trust, Analytics, Competitive, Growth

Development

Terminal

npm install
npm run serve    # Build UI + start MCP server on :3001

Deploy

Docker with Puppeteer/Chrome:

Terminal

docker build -t ai-visibility-scanner .
docker run -p 3001:3001 ai-visibility-scanner

Railway:

bash

railway up

Built by Ethereal Media — The Ethereal Forge

Frequently Asked Questions about AI Visibility Scanner

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "ai-visibility-scanner": { "command": "npx", "args": ["-y", "ai-visibility-scanner"] } }