Will an AI shopping agent recommend your product? Five checks you can run today

When someone asks an AI assistant to find a waterproof kid's jacket under a budget, it has to read your site and decide whether you qualify. It can only recommend what it can read. You can test much of this yourself in an afternoon.

1. Ask, and see what comes back

Ask two AI assistants about your category with a realistic customer's question, then a question naming your brand. Note what is missing or wrong. Treat this as a rough signal, because answers vary from one try to the next.

2. Read your product page as if you were blind to the photos

Key facts often sit inside images: size charts, materials, what is in the box. If a fact only appears in a picture, assume a machine may miss it. Put it in text too.

3. Answer the awkward questions in plain words

Return window, delivery time to a given city, whether it fits a stated size. Vague phrasing such as "easy returns" gives an agent nothing to quote. "Returns within 7 days, unworn" does.

4. Check that your facts agree

If your site says 7 days, your marketplace listing says 10 and your footer says 14, an agent has no way to know which is true, and neither does a customer. Pick one and fix the rest.

5. Look at your structured data and price

Ask whoever runs your site whether products carry product markup with current price and stock. Google's Rich Results Test will show you what is there, and it costs nothing to run.

What this will not do

Nobody can promise that an AI will recommend you, and anyone who does is overselling. These checks remove the reasons it cannot. They also help ordinary search and real customers, so the work is useful even if agent shopping grows slower than the headlines suggest.

Our interest: Taz Solutions does this kind of review as a service, and you can see sample audits on this site. The five checks above need none of it.