Track and compare prompt visibility and rankings across AI platforms (ChatGPT, Claude, Perplexity, Grok, Gemini)
LLM Prompt Tracker gives AI agents the ability to monitor and compare how any brand, product, or keyword appears across major AI platforms — including ChatGPT, Claude, Perplexity, Grok, and Gemini — delivering the prompt management tool infrastructure needed to measure visibility in AI-generated answers that are increasingly replacing traditional search results.
It acts as a standardized bridge between large language models and AI search visibility data. As tracking AI-generated brand mentions becomes a strategic priority for marketers, understanding how products and topics are described, recommended, or omitted in AI-generated responses is as important as tracking Google rankings — and this MCP provides the systematic measurement infrastructure to do exactly that.
By integrating LLM Prompt Tracker, developers enable AI agents to:
• Submit any query to a specific AI platform using track_prompt and receive visibility signals, ranking position data, and analysis of how the brand or topic is represented in the AI-generated response • Run the same query across all five major AI platforms simultaneously using compare_prompt — returning a side-by-side comparison revealing consistency gaps, brand representation differences, and citation patterns • Monitor how brands, products, and topics are described, recommended, or omitted across different AI systems • Build ongoing llm prompt tracking pipelines that measure AI visibility trends over time and alert on representation changes
Built for brand monitoring teams, SEO professionals adapting to the AI search era, digital marketers, and any organisation that needs to understand and optimise how they appear in AI-generated responses — making it an essential prompt management tool for any AI-era visibility strategy.
Standardized bridge for real-time model context.
Connect this server to your local or remote agent environment.
{
"mcpServers": {
"mcp360": {
"command": "npx",
"args": [
"mcp-remote",
"https://connect.mcp360.ai/v1/llm-prompt-tracker/mcp?token=YOUR_API_KEY"
]
}
}
}What this MCP server can do for your AI agents.
See LLM Prompt Tracker in action.
Technical specifications for the 2 available protocol tools.
Compare a single prompt across multiple AI platforms simultaneously (parallel execution for speed)
Production-ready REST endpoints for custom integrations.
/api/v1/llm-prompt-trackercurl "https://connect.mcp360.ai/api/v1/llm-prompt-tracker" \
-H "Authorization: Bearer YOUR_API_KEY"/api/v1/llm-prompt-tracker/{tool_name}curl -X POST "https://connect.mcp360.ai/api/v1/llm-prompt-tracker/compare_prompt" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "string"
}'To authenticate, include your API key in the Authorization header using the Bearer scheme. Alternatively, you can use the X-API-KEY header.
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One monthly subscription for all your AI tool integrations and credits.
LLM Prompt Tracker is an MCP server that provides structured access to llm prompt tracker capabilities through a standardized protocol, enabling AI models to retrieve and process real-time data.
Any model that supports MCP protocol including Claude (via Claude Desktop), GPT-4, Gemini, and open-source LLMs through compatible frameworks.
The server supports OAuth 2.0 authentication with API keys. You'll receive credentials upon registration which can be configured in your MCP client.
Yes, rate limits apply based on your subscription tier. Free tier includes generous limits for development, with higher limits available in paid plans.
Absolutely. LLM Prompt Tracker is designed for production use with enterprise-grade reliability, security, and performance.
Start building production-ready AI agent integrations in minutes with standardized protocol access.