AI answers are built from data the systems can read, and a store shelf isn't on the web. Unless your inventory is published in a machine-readable feed from your POS, assistants can't see what you stock — no matter how full the shelf or how close the shopper. A live local inventory feed fixes exactly this.
The assistant isn't ignoring you. It can't see you.
When someone asks an assistant "who has grain-free puppy food in stock near me," the answer is assembled in seconds from sources the system can verify: published product feeds, business profiles, live availability data. A shelf that exists only physically isn't in any of them.
This is the same mechanism behind Google's local results, one step further downstream. Google at least shows your business profile — the door, the hours, the phone number. An AI answer is stricter: it names the stores whose stock it can verify, because a wrong answer costs it trust. No feed, no verification, no mention.
What "machine-readable" means for a store
Three things, agreeing with each other: product data (titles, descriptions, images), a linked business profile with a store code, and store-level inventory that stays current as you sell. The third is the hard one — it has to come from your POS, continuously, forever. That's the part Zachcart automates, including for the Windows machine in the back office no API touches.
What to do this week
Run the diagnosis first. The Dark Store Checker shows what Google and AI answers say about your store today — free, thirty seconds, no signup to see the result. If your store is dark, the free tier puts one store's shelf on Google and starts the fix.