io.github.sharozdawa/ai-visibility MCP Server
io.github.sharozdawa/ai-visibility
Track your brand's visibility across ChatGPT, Perplexity, Claude, and Gemini with sentiment and competitor analysis.
What is the io.github.sharozdawa/ai-visibility MCP server?
The AI Visibility Tracker MCP server monitors how your brand appears across major AI platforms including ChatGPT, Perplexity, Claude, and Gemini. It provides visibility scoring (0-100), sentiment analysis, competitor intelligence, and actionable recommendations to improve your AI-driven brand presence.
This server helps you understand how AI platforms mention and position your brand compared to competitors. It tracks mention rates, sentiment (positive/neutral/negative), and ranking position across four major AI platforms, then calculates an overall visibility score with tier ratings and improvement recommendations. Useful for brand managers, marketers, and companies wanting to optimize their presence in AI-generated responses.
How to install io.github.sharozdawa/ai-visibility
Copy-paste configuration for popular MCP clients.
Tools & capabilities
Tools this server exposes to the agent.
check_brand_visibility— Check a brand's visibility across AI platforms with detailed per-platform results, mention rates, positions, sentiment, and competitor analysischeck_single_query— Check brand mention for a specific query on a specific platform — get mention status, position, context snippet, and sentimentget_visibility_score— Calculate overall AI visibility score (0-100) with tier rating, per-platform breakdowns, and improvement recommendationscompare_brands— Compare visibility of 2-10 brands side by side with ranked results and per-platform scoresget_recommendations— Get prioritized, actionable recommendations to improve AI visibility based on current scorelist_platforms— List all supported AI platforms with details on how each sources and presents brand information
Use cases
- Monitor how your brand is mentioned and positioned across ChatGPT, Perplexity, Claude, and Gemini
- Compare your brand's AI visibility against 2-10 competitors side by side
- Analyze sentiment of brand mentions across platforms to identify perception gaps
- Get actionable recommendations to improve your brand's presence in AI-generated responses
- Track mention rates and ranking positions to measure AI visibility improvements over time
io.github.sharozdawa/ai-visibility MCP server FAQ
It's an MCP server that monitors your brand's visibility, sentiment, and positioning across four major AI platforms: ChatGPT, Perplexity, Claude, and Gemini. It provides a 0-100 visibility score, competitor analysis, and recommendations.
Yes, the AI Visibility Tracker is free and open source (MIT license). There are no subscription fees, unlike paid alternatives like Otterly ($100-300/mo) or AthenaHQ ($200-500/mo).
Add the configuration to your MCP settings file (claude_desktop_config.json for Claude Desktop or .cursor/mcp.json for Cursor) with the command 'npx' and args ['-y', 'ai-visibility-mcp'].
It monitors ChatGPT (OpenAI), Perplexity (real-time web search), Claude (Anthropic), and Gemini (Google), covering the four major AI platforms that influence buying decisions.
Yes, you can clone the repository, build the MCP server locally, and run it directly or point your MCP client to your local build. A Next.js dashboard is also included for visual tracking.
The score (0-100) is calculated from mention rate (40% weight), position quality (30%), and sentiment (30%). Scores range from Very Low (0-19) to Excellent (80-100).
README (reference)
Source of truth, from the repository.
Features
- Multi-Platform Tracking — Monitor visibility across ChatGPT, Perplexity, Claude, and Gemini simultaneously
- Visibility Scoring — Get a 0-100 score with tier ratings (Excellent / Good / Moderate / Low / Very Low)
- Sentiment Analysis — Understand whether AI platforms describe your brand positively, neutrally, or negatively
- Competitor Intelligence — See which competitors appear alongside your brand in AI responses
- Brand Comparison — Compare up to 10 brands side by side with per-platform breakdowns
- Actionable Recommendations — Get prioritized steps to improve your AI visibility
- MCP Server — Works with Claude Desktop, Cursor, and any MCP-compatible client
- Consistent Results — Seeded randomness ensures reproducible results for the same brand
MCP Server Installation
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"ai-visibility": {
"command": "npx",
"args": ["-y", "ai-visibility-mcp"]
}
}
}
Cursor
Add to your Cursor MCP settings (.cursor/mcp.json):
{
"mcpServers": {
"ai-visibility": {
"command": "npx",
"args": ["-y", "ai-visibility-mcp"]
}
}
}
npx (standalone)
npx ai-visibility-mcp
MCP Tools
| Tool | Description |
|---|---|
check_brand_visibility | Check a brand's visibility across AI platforms with detailed per-platform results, mention rates, positions, sentiment, and competitor analysis |
check_single_query | Check brand mention for a specific query on a specific platform — get mention status, position, context snippet, and sentiment |
get_visibility_score | Calculate overall AI visibility score (0-100) with tier rating, per-platform breakdowns, and improvement recommendations |
compare_brands | Compare visibility of 2-10 brands side by side with ranked results and per-platform scores |
get_recommendations | Get prioritized, actionable recommendations to improve AI visibility based on current score |
list_platforms | List all supported AI platforms with details on how each sources and presents brand information |
How Scoring Works
The visibility score (0-100) is calculated from three components:
| Component | Weight | What It Measures |
|---|---|---|
| Mention Rate | 40% | How often the brand appears in AI responses |
| Position Quality | 30% | Where the brand is mentioned (1st = best, 5th = worst) |
| Sentiment | 30% | Whether mentions are positive, neutral, or negative |
Score Tiers:
- 80-100 Excellent — Strong presence across platforms
- 60-79 Good — Visible but room to improve
- 40-59 Moderate — Appears in some responses
- 20-39 Low — Limited visibility
- 0-19 Very Low — Rarely mentioned
Self-Hosting
Clone the repo and build the MCP server:
git clone https://github.com/sharozdawa/ai-visibility.git
cd ai-visibility/mcp-server
npm install
npm run build
Run the MCP server directly:
node dist/index.js
Or point your MCP client to the local build:
{
"mcpServers": {
"ai-visibility": {
"command": "node",
"args": ["/path/to/ai-visibility/mcp-server/dist/index.js"]
}
}
}
Run the Web Dashboard
The project includes a Next.js dashboard for visual tracking:
cd ai-visibility
cp .env.example .env
# Set your DATABASE_URL in .env
npm install
npx prisma db push
npm run dev
Platforms Tracked
| Platform | Company | How It Sources Information |
|---|---|---|
| ChatGPT | OpenAI | Trained on web data; optional web browsing for real-time info |
| Perplexity | Perplexity AI | Real-time web search with source citations |
| Claude | Anthropic | Trained on web data; focuses on accurate, well-reasoned responses |
| Gemini | Leverages Google Search index and Knowledge Graph |
Why AI Visibility vs Paid Alternatives
| Feature | ai-visibility | Otterly | AthenaHQ |
|---|---|---|---|
| Platforms tracked | 4 | 3 | 2 |
| Visibility score | Yes | Yes | Yes |
| Competitor analysis | Yes | Yes | Limited |
| Sentiment analysis | Yes | No | No |
| Self-hostable | Yes | No | No |
| Open source | Yes | No | No |
| Price | Free | $100-300/mo | $200-500/mo |
More Open Source SEO Tools
| Tool | Description |
|---|---|
| awesome-seo-mcp-servers | Curated list of SEO MCP servers and agent skills |
| robotstxt-ai | Visual robots.txt manager for AI crawlers |
| indexnow-mcp | Instant URL indexing via IndexNow |
| schema-gen | Schema.org JSON-LD markup generator |
License
MIT
<p align="center"> Built by <a href="https://github.com/sharozdawa"><strong>Sharoz Dawa</strong></a> <br/> <a href="https://github.com/sharozdawa"><img src="https://img.shields.io/badge/GitHub-sharozdawa-181717?style=flat-square&logo=github" alt="GitHub" /></a> </p> <img src="https://capsule-render.vercel.app/api?type=waving&color=0:4F46E5,100:7C3AED&height=120§ion=footer" width="100%" />
Related MCP servers

io.github.sharozdawa/content-optimizer
SERP-based content scoring and optimization with 7 SEO categories.

io.github.sharozdawa/indexnow
Submit URLs for instant indexing via IndexNow and Google Indexing API.

io.github.sharozdawa/robotstxt-ai
Analyze and generate robots.txt with AI crawler detection for 20+ bots like GPTBot and ClaudeBot.

io.github.sharozdawa/schema-gen
Generate Schema.org JSON-LD markup for 12 types including Person, Product, and FAQ.
Connect Claude to your WHOOP health data—recovery, sleep, workouts, and trends via natural conversation.
8 content tools: Case Studies, Newsletters, Webinars, Repurposing, Thought Leadership

