When Every Retailer Is Optimized for AI, Who Wins?

When every retailer selling the same product has the same structured data, the same product feeds and the same price, AI optimization stops deciding who gets the sale. The question shifts from whether an AI system can find your products to why it, or the customer relying on it, should buy them from you.

I spent years in online retail, starting when organic search was still young enough to reward the people who understood it first. That experience makes me sympathetic to the current rush to make catalogs readable by AI. It also makes me skeptical that being readable will be enough for very long.

Ten Retailers, One Product

Picture ten online retailers selling the same espresso machine. Same manufacturer, same specifications, essentially the same advertised price, with little room to differentiate on price.

All ten have product structured data on their pages. All ten send current feeds with price and availability. All ten are, by any reasonable standard, well optimized.

Which one should an AI system send the customer to?

Much of the current advice to retailers is about getting found. It’s worth asking what happens when everyone follows it.

Getting Found Isn’t Getting Chosen

Product data does real work, and none of what follows argues against it. Google tells retailers to share product data through structured data and Merchant Center feeds, and describes product data as the title, description, pricing and availability that help it understand what you sell. OpenAI says ChatGPT considers structured metadata such as price and product description when deciding which products to show.

But look at how that data increasingly reaches the AI system. OpenAI says that for merchants on Shopify, product data is already integrated into ChatGPT through Shopify’s catalog, and that “No additional work is required from individual merchants.”

That is good for Shopify merchants. But it also illustrates how quickly a technical advantage can become commonplace. When an ecommerce platform provides the same discovery integration to thousands of competing stores, having that integration no longer distinguishes one retailer from another. The differences, if there are any, have to come from somewhere else.

Being understood by an AI system is a condition of being considered. It isn’t a reason to be chosen.

We’ve Been Here Before

Early commercial search rewarded the retailers who understood it first. Rank well for a valuable product query and the sales arrived without the advertising spend that later became normal. In our own ecommerce business, that early understanding of search created a competitive advantage that lasted for years.

Then it eroded, and not because those retailers got worse. Competitors learned the same practices. Ecommerce platforms built search basics into every store. The results pages filled with marketplaces, shopping units and ads. What had been a distinction became the cost of taking part.

I expect AI shopping to follow the same path, on a much shorter timeline. Last time the know-how spread through agencies and consultants over several years. This time a lot of it arrives as a platform feature.

Two Decisions, Not One

Traditional search showed customers a list of websites. If your store appeared, you had a chance to win the visit, show your range and make the sale.

AI shopping can split that into two separate decisions. Follow one customer through it.

She starts with the product question:

I want a quiet espresso machine for a small kitchen, under $1,500. What should I buy?

The assistant recommends the machine all ten retailers sell. So far, every one of them has done everything right.

Then she asks the second question:

Where should I buy it? I'd like it by Friday and I want an easy return if it's too loud.

Now the AI system is choosing a merchant. OpenAI describes how it does this: when more than one merchant offers a product, merchants are ranked “based on factors like availability, price, quality, and whether they are the maker or primary seller of that item.”

Think about what that means for an independent reseller. The advertised price is effectively the same everywhere. All ten retailers have the product in stock. The manufacturer may sell direct, and the maker or primary seller is a named factor. A large marketplace may promise faster delivery. A retailer can carry exactly the product the AI recommends and still not be the one presented to the customer.

Getting the product recommended and getting the sale have become two different achievements.

Where an Advantage Can Still Show Up

Now suppose she asks one more question:

Is there anyone who'll set it up, dial in the grinder and show me how to use it properly?

That question changes the field. Price and stock no longer separate the merchants. Something only some retailers actually offer does.

That’s the pattern I’d want any retailer to notice. The questions where an independent can win are the ones that ask for something it genuinely does better: exclusive products, specialist advice, setup and service, reliable fulfillment, a return policy customers talk about. Those are business advantages. An AI system may recognize them if the evidence is clear. It can’t invent them.

Structured data can say a product is personalized. It can’t make a standard product exclusive. A feed can report delivery times accurately. It can’t build a better warehouse. This is the general argument of AI Can Make Your Authority More Visible. It Can’t Give You Authority., made concrete: representation can only carry what the business has actually built.

The Window, and What Comes After It

None of this is a reason to ignore AI product discovery. New channels have always rewarded early movers, and while adoption is uneven, a retailer that is well represented when competitors aren’t may well gain from it.

But that advantage comes from timing. Once the same integrations reach every store on the same platforms, being eligible is just being in the room.

For a retailer selling widely available products at controlled prices, that leaves an uncomfortable question that no feed or markup can answer. When the product is the same, the price is the same and the data is the same, what would make an AI system, or the customer trusting it, choose you?