How to fix what AI gets wrong about your products
An AI can recommend your product while getting the material or price wrong: here's how to spot and fix those errors
2 min read
An AI that recommends your product is good news. An AI that recommends it while getting the material, size, or price wrong is worse than being ignored: the customer shows up with the wrong expectation, and either walks away disappointed or never buys at all.
These errors aren't rare. The AI doesn't actually know your product; it reconstructs an answer from whatever it finds: your product page, but also reviews, comparison sites, sometimes an old version of your catalog still indexed somewhere.
Where these errors come from
Most of the time the AI isn't trying to mislead anyone; it's reflecting information that's ambiguous or outdated. A product renamed while its old name still lingers on a comparison site, a page that never states the material so the AI guesses, a discontinued variant still cited by a third-party source. Fixing this isn't about convincing the AI; it's about making the correct information more visible and more authoritative than the wrong one.
A common case: a line renamed last year, but whose old name keeps circulating on a review site that never got updated. The AI sometimes still cites that old name, with the old version's specs, simply because that source stays more visible than your current page.
How to fix what AI says about your products
- Pin down exactly where the AI's claim diverges from reality (material, size, price, availability, use case)
- Update the Shopify product page with the accurate information, stated unambiguously
- Check that structured product data matches the visible text; an AI can end up weighing one against the other
- Track down third-party sources (comparison sites, reviews, old pages) repeating the error and request a correction where possible
- Republish and check again after some time passes, since some AI answers keep citing outdated information for a while
The hard part isn't fixing a product page. It's knowing where the error is hiding before a customer finds it for you. That's exactly what Tadow's approach covers: surfacing what AI engines say about your products, fixing the page directly in Shopify, then confirming the error is gone from the answers.