How to Analyze Social Comments with Copilot
Automate social comment analysis with Copilot and ToolRouter. Comment mining inside your analytics workflow.
Tool
Copilot integrates comment analysis into your product and content analytics tools. Build functions that read comments from defined URLs on a schedule, extract and store the themes and questions, and surface patterns that would take hours to find manually.
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 Social Reader tool:
- Ask: "Read comments from [post URL] using social-reader and return structured data"
- Review the comment data structure
- Ask Copilot to build a comment analysis function that extracts questions and themes
- Store the results in your content research database for ongoing reference
Example Prompt
Try this with Copilot using the Social Reader tool
Read the comments from these five competitor posts [URLs]. Extract all questions asked in the comments, deduplicate similar questions, and return a ranked list of the most frequently asked questions. Then write a TypeScript function that does this automatically for any list of post URLs.
Tips
- Build a question frequency tracker that shows which topics get asked about most over time
- Integrate comment analysis with your content calendar to auto-suggest topics based on what audiences are asking
- Add sentiment analysis to flag post comments that contain significant negative feedback