sharozdawa/ai-visibility
БесплатноНе проверенTrack brand visibility across ChatGPT, Perplexity, Claude, and Gemini. Visibility scores, sentiment analysis, competitor detection, and trend charts.
Описание
Track brand visibility across ChatGPT, Perplexity, Claude, and Gemini. Visibility scores, sentiment analysis, competitor detection, and trend charts.
README
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
| 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
Built by Sharoz Dawa
Установка sharozdawa/ai-visibility
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/sharozdawa/ai-visibilityFAQ
sharozdawa/ai-visibility MCP бесплатный?
Да, sharozdawa/ai-visibility MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для sharozdawa/ai-visibility?
Нет, sharozdawa/ai-visibility работает без API-ключей и переменных окружения.
sharozdawa/ai-visibility — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить sharozdawa/ai-visibility в Claude Desktop, Claude Code или Cursor?
Открой sharozdawa/ai-visibility на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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