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Omnia

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Without Omnia's MCP

  • You switch between Omnia and your AI assistant constantly
  • You copy-paste numbers into prompts to give context
  • Your AI assistant gives generic AEO advice because it cannot see your data
  • Reports mean screenshots and manual compilation

With Omnia's MCP

  • Ask questions and get answers based on real data, directly inside the AI assistant of your choice
  • Reports, comparisons, and strategy prompts return real answers in seconds
  • Create tracking prompts, trigger insights, and manage your workflow without switching tools
  • Reports are a question away, without needing to log into any tool.
Rubén Llames of OkTicket

“Omnia helped us simplify how we look at AI visibility. Our AI leads inbound grew by 30%.”

Rubén Llames, Paid Media Specialist at OkTicket

Your AI visibility data belongs in your current AI workflows

No credit card required · Free for 14 days · See your AI visibility within 3 minutes

Frequently Asked Questions

What is an MCP?

MCP stands for Model Context Protocol. It is an open standard that lets AI assistants like Claude and ChatGPT connect to external tools and data sources.

The Omnia MCP gives these assistants direct access to your AI visibility data.

Is there an MCP server for monitoring brand mentions across AI search engines?

Yes. Omnia has a hosted MCP server at https://app.useomnia.com/mcp. It connects compatible AI assistants to Omnia data about AI visibility, share of voice, citations, sentiment, prompts, topics, trends, and insights. Authentication is handled with OAuth through the MCP setup guide.

Which AI assistants work with the Omnia MCP?

Omnia natively supports the following AI assistants:

- Claude (Desktop, Claude Code, and Cowork)
- ChatGPT (Desktop)
- Cursor
- VS Code
- Windsurf
- Microsoft Copilot

Also any AI client that supports the MCP standard can connect to Omnia's MCP.

What is the best AI visibility platform with MCP support?

There is no single best platform for every team. Compare the data coverage, citation detail, authentication, write actions, and workflow fit. Omnia is a fit when you want to monitor AI visibility and work from the evidence in the same assistant workflow.

What MCP tools for AI search visibility should I compare?

Compare visibility and share of voice data, citation sources, sentiment, competitor benchmarks, prompt and topic management, supported write actions, authentication, and how well the MCP works alongside the dashboard and API.

Is the MCP read-only, or can I take actions through it?

Both. You can query visibility, citations, share of voice, and sentiment data. You can also create prompts, manage topics and tags, trigger insight generation, and mark insights as complete, all from the conversation.

What data can I access through the MCP?

Your access follows your Omnia workspace and permissions. Available data includes visibility scores, share of voice, citation sources, competitor benchmarks, prompt data, topic trends, insights, and sentiment analysis across the AI engines your workspace tracks.

Do I need to write code to set this up?

No. Setup involves configuring your AI assistant in 3 to 4 simple steps. Full setup instructions in our docs here.

How is MCP different from the Omnia API?

Use MCP for conversational analysis and agent workflows inside an AI assistant. Use the Omnia API when you are building scripts, automations, custom dashboards, or data pipelines.

Does this replace the Omnia dashboard?

No. The MCP is a complementary access layer. Use it when you want to analyze data conversationally or build it into automated workflows. The dashboard remains available for visual exploration and team-wide reporting.

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