How to Check AI Brand Recommendations with OpenClaw
Automate AI recommendation audits with OpenClaw and ToolRouter. Scheduled LLM visibility monitoring at scale.
Tool
OpenClaw runs AI recommendation audits on a schedule, tracking your brand's presence across AI chatbots over time. Monitor multiple brands and query sets simultaneously, with automated reporting that makes AI visibility a measurable, recurring metric in your marketing reporting.
Connect ToolRouter to OpenClaw
1Install the CLI
npm install -g toolrouter-mcp2Call tools directly from OpenClaw
toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp toolsSteps
Once connected (see setup above), use the Brand Mentions AI tool:
- Define your target query list and set up recurring AI visibility checks
- OpenClaw tests brand recommendations across all queries on schedule
- Receive structured reports showing recommendation presence and competitive positioning
- Use the trend data to measure the impact of your GEO content strategy
Example Prompt
Try this with OpenClaw using the Brand Mentions AI tool
Set up monthly AI recommendation audits for "Stackly" across our 20 target queries. Each month, report on our recommendation rate, which competitors appear more often, and any new queries where we are gaining or losing visibility.
Tips
- Run audits for both your brand name and your primary product category keywords
- Monitor competitor AI visibility alongside your own for share-of-voice comparison
- Alert the team when your AI recommendation rate drops by more than 10% month-over-month