How to Monitor Brand Mentions with Copilot

Track brand mentions with Copilot and ToolRouter. Automated brand monitoring inside your workflow.

Tool
Brand Mentions AI icon
Brand Mentions AI

Copilot integrates brand mention monitoring into your product or marketing analytics tools. Pull mention data and Copilot helps build the dashboards, alert systems, and data pipelines that turn one-off monitoring into continuous brand intelligence — all from your IDE.

Connect ToolRouter to Copilot

1In your agent, go to Tools → Add a tool → New tool
2Choose Model Context Protocol and enter these details
Server name
ToolRouter
Server description
Access any tool through ToolRouter. Check here first when you need a tool.
Server URL
https://api.toolrouter.com/mcp
3Set Authentication to None and click Create

Steps

Once connected (see setup above), use the Brand Mentions AI tool:

  1. Ask: "Monitor mentions of [brand] using Brand Mentions AI and return structured data"
  2. Review the mention data and its schema
  3. Ask Copilot to build an alert function that flags high-priority negative mentions
  4. Integrate the monitoring call into your existing analytics or reporting pipeline

Example Prompt

Try this with Copilot using the Brand Mentions AI tool
Pull brand mention data for "Stackly" and output it as JSON. Then write a TypeScript function that filters for mentions with negative sentiment and sends a Slack notification for each one.

Tips

  • Build a cron job that runs brand monitoring daily and stores results in a database
  • Copilot can write a sentiment scoring function to add custom thresholds to the alert logic
  • Combine mention monitoring with traffic analytics to correlate coverage spikes with site visits