ask_agents_about_brand
Ask benchmark personal-agent personas what they think of a brand and whether they would recommend it for a category. Personas: Muse-style, Instinct-style, Grok Bot-style, OpenAI dots-style, and OpenClaw-style. This tool uses benchmark personas, including the Grok Bot-style persona; these are not live consumer-product sessions. It is not the real Grok read-back on a scan and it is not the agent-rails HTTP check. What Grok tells shoppers on a scan is a real model call via API, checked against the store's pages, not the consumer Grok app. All five cart attempts, Grok included, are ARC browser cart tests. Returns, per persona: mentioned, recommended, which competitors were recommended instead, sentiment, and short quotes, plus next steps. Limited to 8 runs per workspace per day and 12 per network. Free workspaces also share a site-wide daily cap so unpaid runs cannot drain the model budget.
Input Schema
{
"type": "object",
"required": [
"brand",
"store_url",
"category"
],
"properties": {
"brand": {
"type": "string",
"description": "Brand name, e.g. Allbirds."
},
"category": {
"type": "string",
"description": "Product category a shopper would ask about, e.g. running shoes."
},
"store_url": {
"type": "string",
"description": "Public store URL, e.g. https://www.allbirds.com"
},
"competitors": {
"type": "array",
"items": {
"type": "string"
},
"description": "Optional competitor brand names to watch for in the answers."
}
}
}Stores exposing the ask_agents_about_brand tool
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