Tools / Social Media Comments / Use Cases / Monitor Customer Issues in Social Comments / OpenClaw

How to Monitor Customer Issues with OpenClaw

Monitor customer issues in social comments with OpenClaw and ToolRouter. Detect complaints fast.

OpenClaw automates customer issue monitoring by batch-pulling comments from all your social posts and scanning for complaints, bugs, and support requests. Output includes structured issue inventories with severity scores, frequency counts, and affected platform data. Schedule regular runs to catch problems before they snowball.

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 Comments tool:

Ask OpenClaw: "Pull comments from this YouTube video and find any customer complaints"
OpenClaw fetches comments and highlights issues
Ask: "Check our Reddit posts too and merge the results"

Example Prompt

Try this with OpenClaw using the Social Media Comments tool

Collect comments from our latest YouTube and Reddit posts. Identify customer complaints and group them by theme so we know what to fix first.

Tips

Cross-reference issues across platforms to identify which problems are most widespread
Run regularly after product launches to catch early feedback before it snowballs

More OpenClaw Guides

How to Analyze Comment Sentiment with OpenClaw How to Research Campaign Reactions with OpenClaw How to Find Product Feedback with OpenClaw How to Identify Common Questions with OpenClaw How to Analyze Engagement Patterns with OpenClaw

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