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How to Map Keywords to Clusters with OpenClaw

Map keywords to topic clusters with OpenClaw and ToolRouter. Structured content architecture from keyword data.

OpenClaw clusters keywords into topic groups using semantic similarity analysis across large keyword sets. The structured output maps each keyword to its cluster with a relevance score, ready for import into content architecture planning tools or for building automated content hub structures programmatically.

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 Keyword Research tool:

Ask: "Cluster my keyword list into topic groups"
Review the semantic keyword groupings
Request: "Identify pillar topics and supporting subtopics for each cluster"
Use the cluster map to build your content architecture

Example Prompt

Try this with OpenClaw using the Keyword Research tool

Cluster these keywords about "e-commerce marketing" into topics. Show me the pillar and supporting page structure.

Tips

Process large keyword lists (100+) for the most meaningful clusters
Ask for cluster overlap analysis to spot potential cannibalization
Re-cluster periodically as you add new keywords to your strategy

More OpenClaw Guides

How to Find Long-Tail Keywords with OpenClaw How to Analyze Keyword Competition with OpenClaw How to Discover Question Keywords with OpenClaw How to Research Keywords by Search Intent with OpenClaw How to Find Local SEO Keywords with OpenClaw

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