Which integrations are available for this server?

Monitors brand visibility and performance within Google's Gemini AI, analyzing how the platform presents brand information sourced from the Google Knowledge Graph and Search index. Tracks brand mentions, sentiment, and ranking position within OpenAI's ChatGPT platform to assess AI-driven brand awareness and visibility. Monitors brand visibility and mention frequency within Perplexity AI, analyzing how the platform cites and describes brands in real-time search-augmented responses.

ai-visibility-mcp by sharozdawa

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	Google	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

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License

MIT

Install Server

A

security – no known vulnerabilities

A

license - permissive license

A

quality - confirmed to work

How are these scores calculated?

Resources

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ai-visibility-mcp