Coalbird sends AI shopping agents through your store every week and alerts you the moment they can no longer find, choose, or buy — before it shows up as silently lost sales.
Enter your URL, answer a few scoping questions, then choose a trial time right here.
Made it to the size selector. Then things got weird.
“I clicked EU 44 three times. Nothing on the page will tell me whether it took. I'm not putting a shoe in a basket on a hunch.”
A person sees the highlighted box. The agent can't confirm the click landed, so it loops until it runs out of patience. Your checkout never hears about it.
AI agents are already visiting websites for customers. When they can’t understand a page, they simply leave. In analytics, that looks just like any other visitor who didn’t buy. You’d never launch without checking Safari. Almost nobody is checking this (yet).
Agents don't leave Trustpilot reviews. That's why Coalbird tells you exactly what's broken in the agent experience, even when you can't see it.
No test plans. No prompts. No journeys to build. Coalbird explores your store like an AI customer would, then gets to work with recommendations and fixes.
Coalbird reads your products, collections, options, policies and checkout. Then it works out what real customers might ask an AI to do.
It creates its own missions and runs them again and again. Find this. Compare that. Pick the right size. Build a basket. Check out. Every failure teaches it where your store gets harder for AI.
Coalbird traces the problem back to the page, product data or interaction causing it, makes the fix, and runs the mission again to prove it worked.
We don’t measure whether AI talks about you. We measure whether AI can buy from you.
All four of these pass an accessibility audit, a browser matrix and humans. All four stop an agent cold.
A light base plan plus usage-based mission credits. Keep monitoring on, then add runs only when your store changes.
Paid plans start at $79/month with included mission credits and usage-based overages. Compare plans →
Somebody has to go in first. It used to be a job with a cage and a lamp. Now it's a job with a browser.
Your intake context is carried into the booking, so the call starts useful.