Tools / Social Media Search / Use Cases / Find Customer Feedback / OpenClaw

How to Find Customer Feedback with OpenClaw

Find customer feedback with OpenClaw and ToolRouter. Social media product insight discovery.

OpenClaw automates customer feedback discovery by batch-searching for product mentions across platforms with comprehensive keyword sets. Output includes structured feedback inventories with category labels, sentiment scores, and frequency data. Import directly into your product feedback system for data-driven roadmap decisions.

Connect ToolRouter to OpenClaw

1Install the CLI

npm install -g toolrouter-mcp

2Call tools directly from OpenClaw

toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp tools

Steps

Once connected (see setup above), use the Social Media Search tool:

Ask: "Search for customer feedback about our product on TikTok and YouTube"
OpenClaw returns organic customer content and reviews
Request: "Summarize the main themes in customer feedback"
Use the insights to prioritize product improvements

Example Prompt

Try this with OpenClaw using the Social Media Search tool

What are customers saying about our product on social media? Find feedback on TikTok and YouTube.

Tips

Run feedback searches after major product launches to gauge reception
Ask for a breakdown of positive vs negative feedback themes
Combine with comment analysis for deeper sentiment understanding

More OpenClaw Guides

How to Monitor Brand Mentions with OpenClaw How to Track Hashtag Conversations with OpenClaw How to Find User-Generated Content with OpenClaw How to Research Social Trends with OpenClaw How to Monitor Competitor Activity with OpenClaw

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