What questions do AI shoppers ask before recommending a store?
The same ones a careful human asks. The difference is the AI needs the answers in data it can read, not prose it has to guess at.
When an assistant helps someone shop, it runs through a checklist. Answer these ten clearly and you get recommended. Leave gaps and you get passed over. Here's the list.
1. What is the best product for my need?
Assistants match need to product using your descriptions and attributes. Specific use-case language wins here. Tell the AI exactly who each product is for.
2. How much does it cost total?
Not just the sticker price. Shipping, taxes where relevant, and any fees. Expose the real total in structured data so the assistant can compare honestly.
3. Is it in stock right now?
Live availability is non-negotiable. An assistant won't recommend a product it can't confirm is buyable. Keep your feed in sync.
4. How does it compare to alternatives?
AI loves comparisons. Give it attributes it can line up against competitors, and you make its job easy. Vague marketing copy makes you uncomparable.
5. What do reviewers say?
Review and rating schema hands the assistant third-party proof. Without it, your reviews are invisible to the AI even if they're glowing on the page.
6. How fast will it ship?
Shipping speed decides a lot of purchases. ShippingDetails schema answers it directly instead of forcing the shopper to hunt.
7. What's the return policy?
A clear, structured return policy lowers perceived risk. Assistants surface stores that make returns easy to understand.
8. Will it fit or work for me?
Sizing, compatibility, and requirements. Put this in FAQ and structured content so the AI can reassure the shopper on the spot.
9. Is this brand trustworthy?
Consistent identity, real business details, and reviews add up to trust. Mismatched naming and thin data read as risk.
10. What's the catch?
Assistants are cautious about hidden fees and vague terms. The more transparent your data, the more confidently AI recommends you.
How We Chose These Questions
These are the ten decisions an AI assistant works through when it shops on a buyer's behalf, drawn from how assistants structure product answers and from our Shopify audit findings. Each maps to a data field or content block you control.
FAQ
Q: Do I answer these in blog posts or product data?
Both. Product data answers the transactional questions, and FAQ content answers the reassurance questions. AI reads both.
Q: What's the fastest way to cover these?
Start with structured data on price, availability, reviews, shipping, and returns. That covers half the list at once.
Q: Will answering these help human shoppers too?
Yes. The same clarity that helps AI recommend you helps humans convert. It's not a tradeoff.
Q: How do I know which answers are missing?
An AEO audit checks your store against exactly these questions and flags the gaps.
Answer them before your competitors do
See which of these ten questions your store leaves unanswered. Run an agentic commerce readiness check.
Sources: Schema.org Product, Google Merchant Center shipping, Perplexity shopping answers.
By Steve Merrill, WRKNG Digital — August 14, 2026
