How to Analyze Brand Sentiment with OpenClaw

Assess brand perception with OpenClaw and ToolRouter. Extract and analyze brand signals from any website.

Tool
Brand Extract icon
Brand Extract

OpenClaw assesses brand sentiment across multiple web properties simultaneously, producing structured perception data with trust signals, visual tone analysis, and content sentiment scores. The automated approach enables continuous brand monitoring and feeds into brand health dashboards for ongoing perception tracking.

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 Brand Extract tool:

  1. Ask: "Extract brand elements from mybrand.com and analyze the brand sentiment"
  2. OpenClaw extracts elements and provides a structured perception assessment
  3. Request: "Score the brand on dimensions like trust, innovation, and approachability"
  4. Use the structured scores to track brand perception over time

Example Prompt

Try this with OpenClaw using the Brand Extract tool
Analyze brand sentiment for mybrand.com. Score it on trust, innovation, and approachability.

Tips

  • OpenClaw can produce structured sentiment scores for tracking over time
  • Ask for comparative analysis against industry benchmarks
  • Schedule periodic assessments to monitor brand perception drift