Track and analyze brand visibility, sentiment, and competitors across ChatGPT, Perplexity, Claude, and Gemini AI platforms.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag โ we're steadily working through the catalog.
๐ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by AI Visibility.
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 โ 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
Know exactly how AI platforms talk about your brand.
Track mentions, sentiment, position, and competitors across the AI platforms that shape buying decisions.
Add to your claude_desktop_config.json:
Add to your Cursor MCP settings (.cursor/mcp.json):
| 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 โ 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 |
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:
Clone the repo and build the MCP server:
Run the MCP server directly:
Or point your MCP client to the local build:
The project includes a Next.js dashboard for visual tracking:
| 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 |
| 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 |
| 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 |
MIT
Built by Sharoz Dawa
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