Overview
Connect your AI assistant to your brand's AI visibility data.
What is the Omnia MCP?
The Omnia MCP (Model Context Protocol) server lets AI assistants like Claude, ChatGPT, Cursor, and others read and reason over your Omnia data in real time. With MCP, your AI assistant connects directly to Omnia and pulls the context it needs automatically.
MCP is an open standard for connecting AI applications to external systems. Think of it like a universal adapter: the Omnia MCP server implements that standard so any compatible AI client can securely access your brand's AI visibility data without ever leaving the conversation.
Tool families
A single connection to the Omnia MCP exposes two complementary families of tools:
- Data tools — Read your brand's AI visibility data: share of voice, citations, sentiment, topics, prompts, insights, trends. These mirror the public API endpoints, so anything you can query through the API you can also query through MCP. Use these when you want your AI assistant to answer questions about your data.
- Discovery tools — Search the Omnia API documentation itself (endpoint specs, schemas, conceptual guides). LLMs are good at writing code against APIs but they hallucinate parameter names, paths, and response shapes, especially for APIs they haven't seen in training. Discovery tools let an assistant query the live spec at runtime and ground its responses in the real schema. Use these when you want your AI assistant to write code against the Omnia API.
Both families share the same connection and the same auth. Connecting once gives you everything.
What can you do with the Omnia MCP?
The Omnia MCP exposes your brand's AI visibility data as a set of tools that AI assistants can call during a conversation. Here's what's possible:
Monitor your AI visibility
Ask your AI assistant to pull your current visibility scores, share of voice, and citation data across AI engines like ChatGPT, Perplexity, Google AI Overviews, and Google AI Mode. You can filter by topic, date range, or competitor.
Example prompts:
- "How has our share of voice trended over the last 30 days?"
- "Which topics are driving the most AI citations for our brand this week?"
- "How do we compare to our top three competitors in Google AI Overviews?"
Analyze citations and sources
Dig into which sources AI engines are citing when they talk about your category, and discover where your brand has gaps.
Example prompts:
- "What third-party sites are being cited most often in our tracked prompts?"
- "Show me which of our owned pages are getting picked up as AI citations."
- "Which citation sources are our competitors appearing in that we're not?"
Explore topics and trends
Browse your tracked topics, discover emerging questions your customers are asking AI, and identify new opportunities to show up in AI answers.
Example prompts:
- "What are our top-performing branded topics right now?"
- "Are there any new high-volume topics we should be tracking?"
- "What's the search volume trend for our core non-branded topics?"
Get AI-powered analysis
Because the Omnia MCP connects your data to an AI assistant's reasoning, you can go beyond dashboards. Ask for interpretations, comparisons, and recommendations, all grounded in real Omnia data.
Example prompts:
- "Summarize where we're winning and where we're losing in AI search this month."
- "Based on our citation data, what type of content should we prioritize next?"
- "Draft a Slack update for my team on our AI visibility progress this quarter."