About io.github.sharozdawa/ai-visibility
io.github.sharozdawa/ai-visibility is an MCP server in the Science category: track brand visibility across ChatGPT, Perplexity, Claude, and Gemini.
Install
Claude Code
claude mcp add io-github-sharozdawa-ai-visibility -- npx -y ai-visibility-mcpnpx
npx -y ai-visibility-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (6)
check_brand_visibilityCheck a brand's visibility across AI platforms with detailed per-platform results, mention rates, positions, sentiment, and competitor analysis
Parameters not published.
check_single_queryCheck brand mention for a specific query on a specific platform — get mention status, position, context snippet, and sentiment
Parameters not published.
compare_brandsCompare visibility of 2-10 brands side by side with ranked results and per-platform scores
Parameters not published.
get_recommendationsGet prioritized, actionable recommendations to improve AI visibility based on current score
Parameters not published.
get_visibility_scoreCalculate overall AI visibility score (0-100) with tier rating, per-platform breakdowns, and improvement recommendations
Parameters not published.
list_platformsList all supported AI platforms with details on how each sources and presents brand information
Parameters not published.
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README
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
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| 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
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.