AI assistants are shopping for your customers. Most stores can’t sell to them.
You spent years optimizing your store for human shoppers. Now AI assistants like ChatGPT shop too, finding products and recommending stores for your customers. We audit what they can find and read on your store, fix what they can’t use, and clear the path to checkout.
Of 62 stores we tested, 1 in 5 had a price an AI shopper couldn’t read, or no product data at all. When an AI assistant can’t finish a purchase, it doesn’t complain. It recommends a store that works.
Try it on your store, free.
Paste your store link. In about 90 seconds, see what an AI assistant can find and read on your store, and what would stop an agent before checkout.
Paste your store link. Real check, real results, about 90 seconds. No email.
Already ran it? Book the 20-minute intro to go over what it found.
Found, but not buyable. AI agents can see this store and still cannot check out.
Why agents stall
- Your brand name isn’t written in a format AI can read, so it can’t tell you apart from similar stores.
- The price isn’t readable to an agent, so it sees the page but not the deal.
- Your stock and availability aren’t readable to an agent, so it can’t confirm the item is in stock.
This is a sample. Paste your store above for your real results.
Where the purchase breaks, and why.
The most common failure isn’t mysterious. On many stores the price is filled in a moment after the page loads. You never notice. An AI shopper reads the page the instant it arrives, and finds a blank where the price should be.
Same store, same moment. The price arrives a beat after the page does, so people never notice — but an AI shopper has already read the page and moved on to a store it could buy from.
Only 7 of the 62 stores we tested shipped product data an AI assistant can fully read.
The failures repeat: missing product data, a price the agent can’t read, stock it can’t confirm. And because stores run on templates, the fix repeats too: repair the template once and every product page inherits it.
Not a page-by-page rebuild. A short list of fixes.
How we fix it.
Test
We run your store through the same audit engine we’ve run on 85 stores. Today that’s 24 checks covering whether an AI assistant can find you, read your products, and what would stop an agent on the way to checkout. Every check is a plain pass or fail, the same answer every time.
Fix
You get a short list of repairs, sorted by the sales each one is blocking. Your developer can do them, or we do.
Watch
In developmentA store that’s readable today can break tomorrow, after a theme update, a price change, or a new setting. We’re building the watch service: the same audit, re-run on a schedule, with an email the morning something breaks.
Not yet shipped. Audit clients get it first.
Run by active partners who build the tools they sell.
Pyranthus is run by active partners with decades of FAANG software engineering experience. We build our own audit engine and our own agents. The check you just ran is the engine we sell, not a reseller’s dashboard.
We started where the proof is: auditing how brands show up to AI assistants, 85 stores benchmarked so far. Getting agents all the way through checkout is the next step of the same work.
Adit Karode leads the practice day-to-day, writing the agents and running the audits.
See your store the way AI assistants see it.
We’ll run the audit on your store and walk you through what we’d fix, in twenty minutes.
Have a developer? They work from our list. Don’t have one? We do the fixes ourselves.