---
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/chatgpt
---
# How to Analyze Engagement Patterns with ChatGPT

ChatGPT generates engagement pattern reports with content strategy implications. It pulls comments across posts and analyzes what triggers meaningful discussion versus low-effort reactions, producing a detailed report with engagement quality scores and content recommendations. The output guides your content team toward formats that build community, not just metrics.

## Setup

{"mcpServers":{"toolrouter":{"command":"npx","args":["-y","toolrouter-mcp"]}}}

## Steps

1. Configure ToolRouter in ChatGPT settings
2. Ask: "Collect comments from these YouTube videos and analyze the engagement quality"
3. ChatGPT fetches comments and identifies engagement patterns across posts
4. Request: "What content themes drive the most meaningful comments versus low-effort reactions?"

## Example Prompt

```
Pull comments from our last five YouTube videos and five Instagram posts. Compare the engagement quality and tell me which content types generate the most thoughtful responses.
```

## Tips

- ChatGPT can identify the specific content elements that trigger deeper engagement
- Ask for a content strategy recommendation based on the engagement patterns discovered
