Tools / Social Media Content / Use Cases / Research Hashtag Performance / OpenClaw

How to Research Hashtag Performance with OpenClaw

Research hashtag performance with OpenClaw and ToolRouter. Evidence-based hashtag strategy.

OpenClaw automates hashtag performance research by batch-pulling posts for dozens of hashtags simultaneously, producing structured comparison data with engagement rates, reach metrics, and saturation scores. Output feeds directly into content scheduling tools for automated hashtag selection based on real performance data.

Connect ToolRouter to OpenClaw

1Install the CLI

npm install -g toolrouter-mcp

2Call tools directly from OpenClaw

toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp tools

Steps

Once connected (see setup above), use the Social Media Content tool:

Ask: "Pull Instagram posts and TikTok videos from top creators with hashtag data"
OpenClaw returns posts with their hashtags and engagement metrics
Request: "Which hashtags correlate with the best performance?"
Build your hashtag strategy from the data

Example Prompt

Try this with OpenClaw using the Social Media Content tool

Analyze hashtag performance in the fitness niche. Which hashtag combinations drive the most engagement on Instagram?

Tips

Refresh your hashtag research monthly as trending hashtags change frequently
Ask for a mix of high-volume and niche hashtags for optimal reach
Track which hashtag sets perform best for your own content over time

More OpenClaw Guides

How to Analyze Competitor Content Strategy with OpenClaw How to Research Viral Post Formats with OpenClaw How to Track Brand Content Performance with OpenClaw How to Discover Content Trends with OpenClaw How to Analyze Posting Frequency with OpenClaw

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