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What budget are you working with?
A gift shopper says “under $75.” The assistant should narrow the catalog, not make them scan every collection.
auto_awesome Shopify growth guide
AI product recommendations that help shoppers choose with confidence.
Useful recommendations do not guess what a shopper wants. They turn a vague request into a small, explainable shortlist based on the details that actually change the decision.
Find the right backpack
A useful recommendation has a reason
I need a carry-on backpack for a three-day work trip.
Do you need a laptop compartment, and is airline cabin size the priority?
Transit 28L
Fits the stated trip length, includes a 16-inch laptop sleeve, and stays within typical cabin dimensions.
From browsing to a useful shortlist
The questions a product grid cannot ask.
Filters are important, but many shopping decisions depend on context that is easier to say than select. These are the inputs that make a recommendation more relevant.
person_search
Who is it for and how will they use it?
“A first-time camper” or “a runner training in the rain” is more useful than a generic category click.
straighten
What fit, size, or specification matters?
For apparel, furniture, and technical products, the right choice often depends on details a product card cannot explain alone.
extension
Does it need to work with something else?
Compatibility questions—device model, attachment, ingredient preference, or room size—deserve a precise answer before checkout.
A practical framework
Be helpful, specific, and easy to verify.
Good product discovery reduces the work needed to find a fit. It gives a shopper a clear path from a broad need to a few relevant options, without making them decode your entire catalog first.
- 01
Start with the decision, not the catalog
Ask one useful clarifying question when the shopper’s request is broad. “What are you using it for?” is better than presenting twenty products.
- 02
Explain why each option fits
Give a short, factual reason tied to the shopper’s criteria: material, capacity, price, variant, or compatibility. That makes a recommendation inspectable, not magical.
- 03
Keep the shortlist small and honest
Offer a few genuinely relevant choices, state meaningful trade-offs, and do not claim a product is suitable when your store data does not support it.
- 04
Let the product page close the loop
A recommendation should lead to the right product or variant page, where shoppers can verify details, reviews, delivery information, and returns before buying.
What the evidence supports
Relevance beats volume.
Shopify recommends matching suggestions to a shopper’s purchase intent, rather than treating recommendations as a generic upsell. That is why the strongest first-party inputs are product attributes and real shopping context—not a long list of popular items.
Read Shopify’s recommendation guide open_in_newBefore you turn recommendations on
- check_circleHave accurate variant, price, stock, and compatibility details.
- check_circleUse plain-language product descriptions, including constraints and trade-offs.
- check_circleMeasure recommendation clicks and conversion—not just how many products were shown.
- check_circleReview answers for edge cases and provide a clear route to a human when confidence is low.
AI product recommendations for Shopify: FAQs
Turn questions into better product discovery
Give every shopper a more useful way to find their fit.
Speks helps shoppers describe what they need, discover relevant products, and make a confident next choice from your Shopify catalog.
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