---
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/social-media-comments/use-cases/analyze-engagement-patterns/openclaw
---
# How to Analyze Engagement Patterns with OpenClaw

OpenClaw automates engagement pattern analysis by batch-pulling comments from all your posts across platforms, scoring each for engagement depth and quality. Output includes structured engagement metrics per post, content type comparisons, and conversation depth analysis. Run regularly to build time-series engagement intelligence.

## Setup

openclaw mcp add toolrouter -- npx -y toolrouter-mcp

## Steps

1. Connect ToolRouter: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
2. Ask OpenClaw: "Collect comments from these posts and analyze the engagement patterns"
3. OpenClaw fetches comments and identifies what drives meaningful interaction
4. Ask: "What should we post more of based on these engagement patterns?"

## Example Prompt

```
Pull comments from our TikTok and YouTube posts this month. Analyze which topics and formats generated the deepest audience engagement and recommend content adjustments.
```

## Tips

- Look for engagement patterns over time to spot shifts in what your audience cares about
- Ask for actionable content recommendations based on the engagement data
