Help AI find your products
and represent your store correctly.
RetailAgentOS helps AI assistants understand what you sell, what customers should pay and which orders your store can actually support.
What AI may misunderstand about 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, sale pricing. An agent that can't read those rules quotes incorrectly or not at all.
Unqualified buyers reach checkout
Wholesale listings, local-delivery-only items, region-restricted products — agents don’t know your rules, so they route buyers into dead ends.
Delivery rules are invisible
Your shipping zones and fulfilment modes exist, but agents can't see them at browse time — so they promise deliveries you can't make.
What changes when your store becomes understandable to AI
A shopper asks an AI for a product like yours. Watch what the agent can—and cannot—find before and after the store publishes information it can understand.
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This is what AI-visible commerce looks like. Most stores are invisible to this query today.
A boutique, before and after
Before
A shopper asks an AI assistant for a personalised, handcrafted gift under $50 shipping to California. Sara’s Boutique sells exactly that — but the AI has never heard of her, and recommends three national chains instead.
After
Sara declares her catalog once. The same AI assistant now discovers her store, reads her pricing and shipping rules correctly, and recommends her alongside the chains — because it finally can.
How RetailAgentOS fixes it
Declare your rules once. Let agents do the rest.
Publish your store rules
Pricing tiers, buyer eligibility, and fulfilment zones — 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 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?
Five checks that determine whether an AI shopping agent can represent your store correctly — and what breaks when they can't.
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 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 a region the item can’t ship to — buyer abandoned at checkout.
When the agent blocks a product or changes a price, can it explain why?
Without it: You and the buyer have no visibility into why an item was blocked or a price changed — trust erodes.
Current product maturity
Eligibility, contextual pricing, inventory and quote integrity are built and tested against 328/328 automated checks. Promotion stacking, loyalty and full fulfilment feasibility are designed but not yet built — the public scorecard shows exactly which is which.
See the public scorecard →See what AI understands about your store.
Two minutes, no signup — get a plain-language readout of what's holding your store back from AI shoppers today.