How to Analyze Review Sentiment with OpenClaw
App review sentiment analysis with OpenClaw and ToolRouter. Understand user satisfaction at scale.
Tool
OpenClaw processes app reviews at scale with a systematic, batch-oriented approach that is ideal for regular monitoring cycles. Run sentiment analysis, feature request extraction, and bug report identification in sequence to produce a complete review intelligence report in one session. Its automated workflow is particularly effective for teams that want to establish a monthly or quarterly review analysis cadence without manual overhead.
Connect ToolRouter to OpenClaw
1Install the CLI
npm install -g toolrouter-mcp2Call tools directly from OpenClaw
toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp toolsSteps
Once connected (see setup above), use the App Review Analysis tool:
- Ask OpenClaw: "Analyze the sentiment of my app reviews"
- OpenClaw processes reviews and returns sentiment patterns
- Identify the key drivers of positive and negative sentiment
- Plan product improvements based on the findings
Example Prompt
Try this with OpenClaw using the App Review Analysis tool
Analyze sentiment in my app reviews. What are users happiest about and what are the biggest complaints?
Tips
- Run sentiment analysis monthly to track how user perception changes
- Compare your sentiment profile against competitors for benchmarking
- Focus on high-impact negative themes that affect the most users