Make your store visible
to AI shopping agents.
AI agents are already recommending products, quoting prices, and routing buyers to checkout. Most small merchants are invisible to them — not because their products are wrong, but because their store rules are unreadable to machines.
Why agents skip your store
It is not about your products. It is about whether agents can understand your rules.
Your catalog is invisible to agents
AI shopping assistants browse and recommend products. If your store has no machine-readable profile, they skip you entirely — even if you sell exactly what a buyer is looking for.
Agents quote the wrong price
Your pricing depends on who's asking — member tiers, bulk orders, weekly promos. An agent that can't read those rules quotes incorrectly or not at all.
Unqualified buyers reach checkout
Wholesale listings, age-restricted products, regulated goods, local-delivery-only items — agents don't know your rules, so they route buyers into dead ends. For alcohol, cannabis, or pharmacy items, that's not just a bad experience; it's a compliance problem.
Promos and loyalty are invisible
Your sale prices, mix-and-match deals, and loyalty points exist — agents just can't see them at browse time. A gold member gets quoted the same price as a guest. A loyal customer earns nothing because the agent never knew to ask.
How RetailAgentOS fixes it
Declare your rules once. Let agents do the rest.
Publish your store rules
Pricing tiers, buyer eligibility, fulfilment zones, promotions — declared once in a structured, machine-readable profile.
Agents understand your store
Any AI shopping agent evaluates your rules against the buyer's context — who they are, where they are, what they need.
Correct outcomes before checkout
Right products to the right buyers at the right price. No dead-end orders, no mis-quoted wholesale tiers, no blocked fulfilment.
See how this works for your store type
Pick the demo closest to your business and watch how RetailAgentOS handles real buyer contexts.
Is your store legible to AI agents?
Six checks that determine whether an AI shopping agent can represent your store correctly — and what breaks when they can't. Each maps to a machine-readable rule layer your store needs.
Can agents tell which products a given buyer should or shouldn't see?
Without it: Wholesale items appear to guest buyers — agent surfaces listings the buyer cannot purchase.
Is the right price exposed before cart, per buyer and quantity?
Without it: Agent quotes list price to a wholesale member — buyer is surprised at checkout.
Are buyer requirements (wholesale account, resale cert, MOQ) machine-readable?
Without it: Cart is built below MOQ — checkout fails with a cryptic validation error.
Are mode and region restrictions surfaced at catalog time, not checkout?
Without it: Agent confirms shipping to Hawaii for a locally-delivered item — buyer abandoned at checkout.
Do active offers surface at browse time, with deterministic stacking rules?
Without it: Weekly sale never factors into the recommendation — or agent stacks offers that shouldn't combine, and the effective price falls below cost.
Can agents show a buyer how many points they'd earn, and whether their tier changes the price — before checkout?
Without it: Loyalty is invisible at browse time. The agent quotes the wrong price for a gold member, or misses the "link account to earn points" prompt that would have converted the sale.
For regulated goods (alcohol, cannabis, pharmacy) — are geo eligibility and age requirements machine-readable before cart?
Without it: Agent routes a buyer in a restricted state to checkout for an item that can't ship there. Or routes an underage buyer to a cannabis checkout. Legal exposure and abandoned carts.
When the agent blocks a product or changes a price, can it explain why?
Without it: Merchant and buyer have no visibility into why an item was blocked or a price changed — trust erodes.
Building this in the open
RetailAgentOS is an independent project I'm working through on my own time, nights and weekends — published as it's built. Follow the work, or compare notes if you run a store.
Follow the build
An independent project, published as it's built. See what ships each week, try the live demo, and weigh in on the open questions.