PluginBench
MCP Server
Maintained
MIT

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.

transport: stdio
Config generated by PluginBench — verify against the source before use.
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "ai-visibility": {
      "command": "npx",
      "args": [
        "-y",
        "ai-visibility-mcp"
      ]
    }
  }
}

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 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

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

What is the AI Visibility Tracker?

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.

Is it free?

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).

How do I install it in Claude Desktop or Cursor?

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'].

What platforms does it track?

It monitors ChatGPT (OpenAI), Perplexity (real-time web search), Claude (Anthropic), and Gemini (Google), covering the four major AI platforms that influence buying decisions.

Can I self-host it?

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.

What does the visibility score measure?

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.

<p align="center"> <img src="https://capsule-render.vercel.app/api?type=waving&color=0:4F46E5,100:7C3AED&height=220&section=header&text=AI%20Visibility%20Tracker&fontSize=42&fontColor=ffffff&animation=fadeIn&fontAlignY=35&desc=Track%20your%20brand%20across%20ChatGPT%2C%20Perplexity%2C%20Claude%20%26%20Gemini&descSize=18&descAlignY=55" width="100%" /> </p> <p align="center"> <a href="https://www.npmjs.com/package/ai-visibility-mcp"><img src="https://img.shields.io/npm/v/ai-visibility-mcp?style=flat-square&color=4F46E5" alt="npm version" /></a> <a href="https://github.com/sharozdawa/ai-visibility/stargazers"><img src="https://img.shields.io/github/stars/sharozdawa/ai-visibility?style=flat-square&color=7C3AED" alt="GitHub stars" /></a> <a href="https://github.com/sharozdawa/ai-visibility/blob/main/LICENSE"><img src="https://img.shields.io/github/license/sharozdawa/ai-visibility?style=flat-square&color=6366F1" alt="License" /></a> <a href="https://github.com/sharozdawa/ai-visibility/pulls"><img src="https://img.shields.io/badge/PRs-welcome-brightgreen?style=flat-square" alt="PRs Welcome" /></a> <a href="https://glama.ai/mcp/servers/sharozdawa/ai-visibility"><img src="https://glama.ai/mcp/servers/sharozdawa/ai-visibility/badges/score.svg" alt="AI Visibility MCP server" /></a> </p> <p align="center"> <strong>Know exactly how AI platforms talk about your brand.</strong><br/> Track mentions, sentiment, position, and competitors across the AI platforms that shape buying decisions. </p>

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

ToolDescription
check_brand_visibilityCheck a brand's visibility across AI platforms with detailed per-platform results, mention rates, positions, sentiment, and competitor analysis
check_single_queryCheck brand mention for a specific query on a specific platform — get mention status, position, context snippet, and sentiment
get_visibility_scoreCalculate overall AI visibility score (0-100) with tier rating, per-platform breakdowns, and improvement recommendations
compare_brandsCompare visibility of 2-10 brands side by side with ranked results and per-platform scores
get_recommendationsGet prioritized, actionable recommendations to improve AI visibility based on current score
list_platformsList 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:

ComponentWeightWhat It Measures
Mention Rate40%How often the brand appears in AI responses
Position Quality30%Where the brand is mentioned (1st = best, 5th = worst)
Sentiment30%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

PlatformCompanyHow It Sources Information
ChatGPTOpenAITrained on web data; optional web browsing for real-time info
PerplexityPerplexity AIReal-time web search with source citations
ClaudeAnthropicTrained on web data; focuses on accurate, well-reasoned responses
GeminiGoogleLeverages Google Search index and Knowledge Graph

Why AI Visibility vs Paid Alternatives

Featureai-visibilityOtterlyAthenaHQ
Platforms tracked432
Visibility scoreYesYesYes
Competitor analysisYesYesLimited
Sentiment analysisYesNoNo
Self-hostableYesNoNo
Open sourceYesNoNo
PriceFree$100-300/mo$200-500/mo

More Open Source SEO Tools

ToolDescription
awesome-seo-mcp-serversCurated list of SEO MCP servers and agent skills
robotstxt-aiVisual robots.txt manager for AI crawlers
indexnow-mcpInstant URL indexing via IndexNow
schema-genSchema.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&section=footer" width="100%" />

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