By Steve Merrill, Founder of WRKNG Digital | September 14, 2026
The feed attributes most Shopify stores leave blank, like material, GTIN, and detailed product type, are exactly the ones AI assistants use to match and recommend products. Filling seven of them closes most of the gap.
These are the blanks that quietly keep you out of AI answers.
Why do blank feed attributes hurt AI visibility?
Because AI assistants recommend the product that best answers a specific question, and specificity lives in the attributes. A blank field is a fact the model doesn't have, which means a query it can't match you to, following the Google Merchant specification.
1. Product type and category
A precise product type helps the model place your item in the right consideration set. "Men's merino base layer" matches far more queries than a blank or generic category.
2. Material and composition
Material is a top filter in real shopper questions. Leaving it blank drops you from every "made of" or "is it X" query the model tries to answer.
3. GTIN or MPN
A unique identifier lets assistants tie your product to a known item and its reviews. Without it, you're a stranger the model can't cross-reference.
4. Detailed size and fit
Size ranges and fit notes answer a huge share of buying questions. Blank sizing makes the model hesitate to recommend a product it can't confirm fits.
5. Color and pattern specifics
Specific color and pattern values match visual and descriptive queries. "Charcoal" and "heather grey" beat an empty field or a bare "grey."
6. Availability and condition
Accurate availability and condition, marked up with a valid Offer, keep you eligible. A blank or wrong value gets you dropped as unverifiable.
7. A real description, not a placeholder
The description field carries the detail that earns the recommendation. A blank or one-line placeholder tells the model there's nothing here worth quoting.
Further reading
- Google Merchant product data specification
- Schema.org Offer reference
- Schema.org Product reference
- Google product structured data guidelines
Frequently Asked Questions
Which feed attributes matter most for AI recommendations?
Product type, material, unique identifiers like GTIN, detailed sizing, specific color, accurate availability, and a real description. These carry the specificity AI assistants use to match products to precise shopper questions.
Do I need GTINs for AI shopping?
They help significantly. A GTIN or MPN lets an assistant tie your product to a known item and its reviews, which makes you easier to cross-reference and trust. Without one, you're harder to verify.
Is a Google Shopping feed enough for AI?
It's a strong start because it enforces many of these attributes, but many stores fill only the required minimum. AI assistants reward the optional detail, so fill the fields Google lets you skip.
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.
