By Steve Merrill, Founder of WRKNG Digital | August 31, 2026
Structured data is how you hand an AI a clean, trustable version of your product facts. Nine fields do most of the heavy lifting. Fill them well and you're readable to nearly every assistant.
Anchor them to the Product schema reference and keep every value matched to your visible page.
Which structured data fields help AI recommend your products?
1. Name
A clear, specific product name lets an assistant identify exactly what you sell. Vague names cause mismatches.
Use the real product name, not a marketing slogan.
2. Price
A machine-readable price the assistant can quote with confidence. It must match the on-page and feed price exactly.
Consistency across sources is a core trust signal.
3. Availability
Current stock status tells an assistant whether the product is buyable now. Stale availability gets you skipped.
Keep it synced in real time.
4. Brand
Brand helps assistants disambiguate and match brand-specific requests. Missing brand makes you ambiguous.
Populate it on every listing.
5. Product identifiers
GTIN and MPN let assistants confirm the exact item. They tie your product to a known reference.
Add them wherever the product has one.
6. Description
Structured description text gives assistants attributes and use cases to extract. Make it specific, not fluffy.
State material, dimensions, and who it's for.
7. Aggregate rating
Review data, when genuine, gives assistants a social-proof signal they can factor in.
Only mark up real, on-page reviews.
8. Item attributes
Color, size, material, and compatibility widen the set of shopper requests you can match.
Fill each per the Google Merchant specification.
9. Category
The right category places you in the correct consideration set. A wrong or blank category surfaces you for the wrong queries.
Use the most specific accurate category, then validate with the Schema.org validator.
Further reading
Frequently Asked Questions
What is structured data for products?
It's a machine-readable version of your product facts, usually Product schema, that hands AI assistants a trusted set of values like price, availability, brand, and attributes instead of forcing them to guess from free text.
Which structured data field matters most?
Price and availability, because they must be accurate and match everywhere for an assistant to trust and quote you. Attributes come next, since they determine how many shopper requests you can match.
Do reviews in schema help AI recommendations?
Genuine, on-page review data can add a social-proof signal an assistant factors in. Only mark up real reviews that appear on the page, since fabricated markup risks trust and violates guidelines.
How do I confirm my structured data is valid?
Run every template through a validator like Schema.org's and confirm the values match your visible page and feed. Empty or contradictory schema undercuts the fields you did fill in.
Want to know if AI assistants can actually find and recommend your store? Get a free AI-visibility read on your Shopify store at WRKNG Digital. We show you exactly what ChatGPT, Perplexity, and Google AI see when they look at your products.
