How to Analyze Virality Factors with OpenClaw
Analyze virality factors with OpenClaw and ToolRouter. Reverse-engineer what makes videos spread.
Tool
OpenClaw automates virality factor analysis by batch-fetching trending videos and systematically extracting structural, audio, and engagement patterns. Output includes structured virality factor matrices with frequency counts, correlation data, and template outlines. Feed into content creation tools to bake proven virality patterns into your production workflow.
Connect ToolRouter to OpenClaw
1Install the CLI
npm install -g toolrouter-mcp2Call tools directly from OpenClaw
toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp toolsSteps
Once connected (see setup above), use the Trending Social Content tool:
- Ask OpenClaw: "Fetch the top viral TikTok videos and tell me what they have in common"
- OpenClaw analyzes trending videos and identifies the key success factors
- Ask: "Build me a video outline that incorporates these virality elements"
Example Prompt
Try this with OpenClaw using the Trending Social Content tool
Pull the top trending TikTok videos. Analyze the virality factors and give me a concrete video outline that uses the same techniques for a tech review channel.
Tips
- Apply virality factors as a checklist to every video before publishing
- Combine virality analysis with trending sound data for maximum algorithmic advantage