visibilityradar-mcp
Enables AI visibility analysis for brands, providing scores, sentiment, competitor comparison, and recommendations across multiple AI models like Claude and GPT-4o.
README
visibilityradar-mcp
Analyze how AI models see your brand — directly from Claude Desktop, Cursor, Windsurf, or any MCP-compatible AI assistant.
What is this?
VisibilityRadar measures how often and how positively AI models (Claude, GPT-4o, Gemini, Perplexity, Grok, DeepSeek) mention your brand. This MCP server brings that analysis directly into your AI assistant — no browser needed.
Ask Claude: "How visible is my brand on AI models compared to my competitors?" and get an instant, structured report.
Tools
| Tool | Description |
|---|---|
analyze_brand |
Run a full AI visibility analysis: overall score, per-model scores, sentiment, competitors, top recommendations |
get_brand_history |
Fetch past analysis results and score trends for a brand |
Requirements
- Pro or Agency plan on VisibilityRadar
- An API key from Account Settings → MCP API Keys
Setup
1. Get your API key
Go to visibilityradar.ai/profile → scroll to MCP API Keys → click Generate Key.
2. Configure your AI assistant
Claude Desktop
Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"visibilityradar": {
"command": "npx",
"args": ["visibilityradar-mcp"],
"env": {
"VR_API_KEY": "vr_your_api_key_here"
}
}
}
}
Cursor
Edit ~/.cursor/mcp.json:
{
"mcpServers": {
"visibilityradar": {
"command": "npx",
"args": ["visibilityradar-mcp"],
"env": {
"VR_API_KEY": "vr_your_api_key_here"
}
}
}
}
Windsurf
Edit ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"visibilityradar": {
"command": "npx",
"args": ["visibilityradar-mcp"],
"env": {
"VR_API_KEY": "vr_your_api_key_here"
}
}
}
}
3. Restart your AI assistant
After saving the config, restart Claude Desktop / Cursor / Windsurf. You should see VisibilityRadar listed as a connected tool.
Example Usage
Once connected, just ask your AI assistant:
Analyze the AI visibility of "Notion" in the US market, compare against Obsidian and Roam Research
What is the brand history for "Linear"?
How does "Shopify" score across AI models compared to WooCommerce?
Example Output
# AI Visibility Report: Notion
**Overall Score: 74/100** (Strong)
**Market:** US
📊 Sentiment: 68% positive · 24% neutral · 8% negative
## Per-Model Scores
• Claude: 82/100
• GPT-4o: 78/100
• Gemini: 71/100
• Perplexity: 69/100
• Grok: 74/100
• DeepSeek: 66/100
## Competitor Comparison
• Obsidian: 58/100
• Roam Research: 41/100
## Top Recommendations
1. [HIGH] Build a stronger Wikipedia presence with product comparisons
2. [HIGH] Earn more coverage on tech publications indexed by Perplexity
3. [MEDIUM] Increase presence on X/Twitter for Grok visibility
---
📊 Full report, playbook & content strategy: https://visibilityradar.ai/dashboard
Rate Limits
| Plan | Daily MCP analyses | Monthly analyses |
|---|---|---|
| Pro | 5/day | 10/month |
| Agency | 20/day | Unlimited |
Every analyze_brand call via MCP counts as one analysis and is saved to your dashboard automatically.
API Endpoints
The MCP server calls the following VisibilityRadar API endpoints:
POST https://visibilityradar.ai/api/mcp/analyze— Run analysisGET https://visibilityradar.ai/api/mcp/history— Fetch history
Authentication uses the x-api-key header with your API key.
Links
License
MIT
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