---
title: ToolRouter — Use Case
description: Step-by-step guide for a real-world ToolRouter use case with agent-specific instructions.
url: https://toolrouter.com/tools/social-media-comments/use-cases/analyze-engagement-patterns
---
# Analyze Engagement Patterns in Comments

Not all comments are created equal. Some posts generate hundreds of thoughtful, detailed responses while others get only emoji reactions and one-word replies. Understanding what drives meaningful engagement -- the kind where people share experiences, tag friends, ask follow-up questions, and start conversations -- is the key to creating content that builds community rather than just accumulating views.

By collecting comments from multiple posts across platforms, you can identify patterns in engagement quality. Which topics spark long discussion threads? Which content formats generate the most questions? Do TikTok comments differ in nature from YouTube comments on the same topic? These patterns reveal what your audience truly cares about.

**Tool:** [Social Media Comments](https://toolrouter.com/tools/social-media-comments)
**Skills:** get_tiktok_comments, get_youtube_comments, get_instagram_comments, get_reddit_comments

## Agent Guides

- [How to Analyze Engagement Patterns with Claude](https://toolrouter.com/tools/social-media-comments/use-cases/analyze-engagement-patterns/claude): Guide for Claude
- [How to Analyze Engagement Patterns with ChatGPT](https://toolrouter.com/tools/social-media-comments/use-cases/analyze-engagement-patterns/chatgpt): Guide for ChatGPT
- [How to Analyze Engagement Patterns with Copilot](https://toolrouter.com/tools/social-media-comments/use-cases/analyze-engagement-patterns/copilot): Guide for Copilot
- [How to Analyze Engagement Patterns with OpenClaw](https://toolrouter.com/tools/social-media-comments/use-cases/analyze-engagement-patterns/openclaw): Guide for OpenClaw
