By Steve Merrill, Founder of WRKNG Digital | October 14, 2026
Shoppers use AI assistants to buy in six main ways in 2026: direct recommendations, comparisons, fit checks, price hunting, summarized reviews, and agent checkout. Each one changes what your store has to get right. Here's the breakdown.
1. Asking for a Direct Recommendation
The shopper asks the assistant to pick one. Best running shoe under $120. Best gift for a coffee lover. The assistant names a few, pulled from trusted sources and clean data. You're named or you're not.
2. Comparing Options Side by Side
Shoppers ask AI to compare two or three products. The assistant builds the comparison from specs, price, and reviews it can read. If your attributes are blank, you lose the comparison before it starts.
3. Checking Fit and Specs
People ask AI whether a product fits their need. Will this jacket work for winter hiking. Does this blender crush ice. Structured attributes in your feed answer these. Missing data means the assistant can't vouch for you.
4. Finding the Best Price
Shoppers ask AI where to get the best deal. The assistant reads price and availability across sources. Stale or missing price data drops you from the answer. A model won't recommend what it can't price.
5. Reading Summarized Reviews
Instead of scrolling review pages, shoppers ask AI to summarize what people say. The assistant pulls from reviews and ratings it trusts. Real review content, marked up with schema, feeds that summary in your favor.
6. Letting an Agent Complete the Purchase
The newest behavior. A shopper tells an agent to just buy it, and the agent completes checkout. This needs clean data, live sync, and support for agent payment rails. Emerging standards make this possible (Shopify commerce resources). Stores ready for it get the sale.
How We Chose This List
Based on the shopping behaviors we see forming across AI assistants and what each one demands of a store's data. Agent checkout ranks last because it's newest, but it's growing fast.
FAQ
Are shoppers really buying through AI assistants?
Increasingly. Most still use AI to research and decide, with agent-completed purchases early and growing. Both behaviors reward clean product data.
Which behavior should I prepare for first?
Direct recommendations and comparisons. They're the most common today and depend on the same clean data everything else needs.
How does summarized review shopping affect me?
AI summarizes reviews it can read. Real customer reviews with review schema give the assistant a trustworthy signal to pass along.
What do all six have in common?
Clean, readable, current product data. Get that right and you're a candidate across every one of these behaviors.
Want to know if your store is ready for how shoppers buy with AI now? Get your AEO readiness audit from WRKNG Digital.
