Will AI agents recommend my products?

An AI agent recommends a product by comparing candidates against the constraints a shopper stated, so whether it recommends yours depends on whether your data answers those constraints. This is a narrower and more mechanical question than it sounds, and it is largely decided before any judgement of quality happens.

What a recommendation actually is

A shopper says something like: a waterproof jacket, under a certain budget, in stock, delivered this week, returnable. Each clause is a filter. The agent’s job is to find candidates that satisfy them and then choose among the survivors.

Notice how much of that is arithmetic rather than taste. Budget, stock, delivery and returns are all facts that either exist in your data or do not.

Not stating something is not neutral

The important asymmetry is between "this store does not meet the constraint" and "this store does not say". The first is a pricing answer and you can live with it. The second is a data defect, and it usually costs you the comparison outright.

An agent that cannot find your shipping cost cannot compute your true total. Faced with an unknown, it does not assume the best case. A store with a published total beats a store with an unknown total even when the unknown would have been lower, which means silence is losing you comparisons you would have won.

What actually moves the outcome

• Price, availability and an identifier such as a GTIN published as product structured data, so you can be matched against the same item elsewhere.
• Shipping cost and delivery expectation stated before checkout rather than revealed at it. See missing shipping terms.
• Returns terms as text. A returns policy in an image is not a returns policy for this purpose. See policy in image.
• Variant level data, so "in stock" means the size the shopper asked for rather than the product in general. See no variant data.
• Specification detail that matches how people describe the need, not how your catalogue is organised internally.

The part you cannot control

Which candidates an agent considers in the first place is decided upstream of all of this, by whether you are discoverable and enumerable at all. Being excellent at comparison is worth nothing if you were not in the candidate set. That is the subject of is my store visible to AI shopping agents.

And being recommended is not the end of it. An agent that chooses you and then cannot complete the purchase has cost you more than one that never considered you, because that was a sale you had already won. Why AI agents abandon carts covers what happens next.