---
title: ToolRouter — Agent Use Case Guide
description: Step-by-step guide for completing a task with a specific AI agent using ToolRouter.
url: https://toolrouter.com/tools/brand-extract/use-cases/analyze-brand-sentiment/openclaw
---
# How to Analyze Brand Sentiment with OpenClaw

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.

## Setup

openclaw mcp add toolrouter -- npx -y toolrouter-mcp

## Steps

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

## Example Prompt

```
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
