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io.github.sharozdawa/ai-visibility

Registre officiel Marketing et ventes

Track brand visibility across ChatGPT, Perplexity, Claude, and Gemini.

Code source Documentation

Que pouvez-vous faire avec io.github.sharozdawa/ai-visibility ?

  • 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

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

NPM package ai-visibility-mcp
Claude Code 
claude mcp add ai-visibility -- npx -y ai-visibility-mcp@1.0.0
Configuration JSON (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "ai-visibility": {
            "command": "npx",
            "args": [
                "-y",
                "ai-visibility-mcp@1.0.0"
            ]
        }
    }
}

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. Features
  2. MCP Server Installation
  3. MCP Tools
  4. How Scoring Works
  5. Self-Hosting
  6. Platforms Tracked
  7. Why AI Visibility vs Paid Alternatives
  8. More Open Source SEO Tools
  9. License

Know exactly how AI platforms talk about your brand.

Track mentions, sentiment, position, and competitors across the AI platforms that shape buying decisions.

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

Built by Sharoz Dawa

Questions fréquentes

Qu'est-ce que io.github.sharozdawa/ai-visibility ?

Track brand visibility across ChatGPT, Perplexity, Claude, and Gemini.

Comment installer io.github.sharozdawa/ai-visibility ?

Il s'exécute sur votre machine. Dans Claude Code : claude mcp add ai-visibility -- npx -y ai-visibility-mcp@1.0.0. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour io.github.sharozdawa/ai-visibility ?

Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.

io.github.sharozdawa/ai-visibility est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient io.github.sharozdawa/ai-visibility ?

Il est publié par sharozdawa. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.