---
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/trending-social-content/use-cases/analyze-virality-factors
---
# Analyze What Makes Content Go Viral

Virality is not random -- it is a set of patterns that can be studied, understood, and replicated. The first-second hook that stops the scroll. The emotional arc that keeps people watching. The relatability that makes people tag a friend. The surprise that makes people rewatch and share. These elements appear consistently across viral content, and analyzing trending videos reveals exactly what they are.

By pulling the current batch of viral TikTok videos and studying them systematically, you can identify the specific techniques driving virality right now. Video length, hook style, editing pace, sound selection, caption strategy, call-to-action placement -- every element can be analyzed and compared across the most successful content.

**Tool:** [Trending Social Content](https://toolrouter.com/tools/trending-social-content)
**Skills:** get_tiktok_popular_videos

## Agent Guides

- [How to Analyze Virality Factors with Claude](https://toolrouter.com/tools/trending-social-content/use-cases/analyze-virality-factors/claude): Guide for Claude
- [How to Analyze Virality Factors with ChatGPT](https://toolrouter.com/tools/trending-social-content/use-cases/analyze-virality-factors/chatgpt): Guide for ChatGPT
- [How to Analyze Virality Factors with Copilot](https://toolrouter.com/tools/trending-social-content/use-cases/analyze-virality-factors/copilot): Guide for Copilot
- [How to Analyze Virality Factors with OpenClaw](https://toolrouter.com/tools/trending-social-content/use-cases/analyze-virality-factors/openclaw): Guide for OpenClaw
