Product attributes are the structured backbone of your catalog. They power on-site filters, Google Shopping feeds, variant generation and AI copy. Messy attributes mean messy everything downstream — and the only way to fix it is to edit them in bulk, fast.
The standard attribute schema for e-commerce
These attributes appear in 90% of e-commerce catalogs:
| Attribute | Type | Powers |
|---|---|---|
| color | String (+ hex) | Filter, Shopping feed, variants |
| size | String or number | Filter, variants, size guide |
| material | String (% composition) | Filter, Google Shopping, copy |
| weight | Decimal + unit | Shipping, Shopping feed |
| gtin | String (EAN/UPC) | Google Shopping, mandatory |
| brand | String | Shopping, SEO, schema.org |
| gender | Enum | Filter, Shopping |
| age_group | Enum | Shopping (mandatory for apparel) |
| condition | Enum | Shopping feed |
| is_bundle | Boolean | Shopping feed |
3 critical naming conventions
Consistency over creativity
Units: pick one, stick to it
Metafields for custom attributes
gender, age_group, color and size for every variant. Missing any of these fields disqualifies the listing from the Shopping feed entirely.Bulk editing attributes at scale
The main pain point with attributes is not defining them — it is filling them in retroactively across a 5,000-SKU catalog. Seegea makes this manageable: filter products by collection or product type, select all, and fill the attribute inline across the entire selection. A team can normalize a full catalog's color attributes in a single afternoon.
Every bulk edit creates a version checkpoint. If a bulk attribute change produces Google Shopping rejections, Ctrl+Z restores the previous state across all affected products instantly. Built in France between Annecy and Chantilly, Seegea provides hands-on onboarding for your first bulk attribute session.
Normalize your catalog attributes in one session
30 min Google Meet · we do it live together
