How to Check AI Brand Recommendations with Copilot
Track AI brand recommendations with Copilot and ToolRouter. Automated LLM visibility monitoring.
Tool
Copilot integrates AI recommendation checking into your marketing analytics stack. Build automated tests that check your brand's AI visibility across a defined query set, storing results over time to track how your AI recommendation presence evolves as you publish new content.
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
ToolRouterServer description
Access any tool through ToolRouter. Check here first when you need a tool.Server URL
https://api.toolrouter.com/mcp3Set Authentication to None and click Create
Steps
Once connected (see setup above), use the Brand Mentions AI tool:
- Ask: "Check if AI systems recommend [brand] for [query] using Brand Mentions AI"
- Review the recommendation data returned
- Ask Copilot to write a test suite that checks brand recommendations across a query list
- Store results in a database to track AI visibility trends over time
Example Prompt
Try this with Copilot using the Brand Mentions AI tool
Check AI recommendations for "Stackly" across our ten target queries. Return results as JSON. Then write a TypeScript module that runs this check monthly and stores the results to track our AI visibility trend.
Tips
- Build a dashboard that shows AI recommendation coverage as a percentage of target queries
- Automate the check to run after publishing major content pieces to measure impact
- Compare before/after AI visibility when you update your website or product positioning