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How to Discover Content Ideas with OpenClaw

Discover content ideas with OpenClaw and ToolRouter. Data-driven topic research from search and autocomplete data.

OpenClaw discovers content ideas at scale by running searches across multiple seed topics and outputting a structured list of opportunities with search volume indicators. The batch approach generates dozens of validated content ideas in minutes, with data formatted for direct import into content management systems or editorial planning tools.

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 Web Search tool:

Ask: "Find content ideas around 'cloud cost optimization' from web search and autocomplete"
OpenClaw returns existing content landscape and related search queries
Request: "Rank these topics by search demand and content gap opportunity"
Build your editorial calendar from the results

Example Prompt

Try this with OpenClaw using the Web Search tool

Discover content ideas about "cloud cost optimization." What are people searching for and where are the content gaps?

Tips

Batch research across multiple seed topics for a full content strategy
Ask for content clusters that build topical authority
Run monthly to catch new trending topics in your space

More OpenClaw Guides

How to Research Market Trends with OpenClaw How to Monitor Brand Mentions with OpenClaw How to Find Industry News with OpenClaw How to Gather Competitive Intelligence with OpenClaw How to Research Customer Pain Points with OpenClaw

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