---
title: ToolRouter — Agent Use Case Guide
description: Step-by-step guide for completing a task with a specific AI agent using ToolRouter.
url: https://toolrouter.com/tools/competitor-research/use-cases/analyze-competitor-reviews/copilot
---
# How to Analyze Competitor Reviews with Copilot

Copilot mines competitor reviews from your IDE, which is valuable when designing features to address competitor weaknesses. Read real customer complaints about competitor products while building solutions to those exact problems, creating a direct feedback loop between competitive intelligence and product development.

## Setup

{"mcpServers":{"toolrouter":{"command":"npx","args":["-y","toolrouter-mcp"]}}}

## Steps

1. Add ToolRouter to Copilot MCP config
2. Ask: "Research reviews for competing CI/CD platforms"
3. Review the sentiment analysis inline
4. Ask: "What technical complaints come up most often?"
5. Use insights to prioritize bug fixes and feature improvements

## Example Prompt

```
Analyze reviews for GitHub Actions, CircleCI, and GitLab CI. What technical issues do users complain about most?
```

## Tips

- Great for understanding technical pain points while building competing features
- Ask Copilot to map complaints to specific technical solutions
- Use findings to write better documentation that addresses common frustrations
