Tools / Social Media Comments / Use Cases / Research Campaign Reactions from Comments / OpenClaw

How to Research Campaign Reactions with OpenClaw

Campaign reaction research with OpenClaw and ToolRouter. Audience comment analysis across platforms.

OpenClaw automates campaign reaction analysis by batch-pulling comments from all campaign posts across platforms in one operation. Output includes structured sentiment data per creative variant, platform comparison metrics, and key quote extraction. Feed into your campaign reporting pipeline for automated retrospective generation.

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 our campaign posts across TikTok and YouTube"
OpenClaw collects comments and analyzes audience reactions
Ask: "Summarize the overall campaign reception with key quotes"

Example Prompt

Try this with OpenClaw using the Social Media Comments tool

Collect comments from our TikTok and YouTube campaign posts. Analyze the reactions, identify the top praise and criticism themes, and pull representative quotes.

Tips

Ask for representative quotes to include in campaign reports for stakeholders
Compare reactions over time if running an ongoing campaign with multiple posts

More OpenClaw Guides

How to Analyze Comment Sentiment with OpenClaw How to Monitor Customer Issues 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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