Attribute Completeness

Weight: 16.7% — One of the three highest-weighted dimensions. AI shopping agents rely on structured attributes to compare products and answer specific shopper questions like "What material is it?" or "Does it come in blue?"

What Vantage checks

Every product category has a set of expected attributes. Vantage identifies your product's category and checks how many of those attributes are present in your product data (title, description, tags, metafields, and variant options).

Your score is based on the ratio of attributes found to attributes expected, with a bonus for attributes stored in structured fields like metafields or variant options.

Category-specific checklists

Vantage uses different checklists depending on your product category:

Apparel & Accessories: material/fabric, size, color, gender/age group, care instructions, fit type, neckline/style

Electronics & Technology: dimensions, weight, connectivity, compatibility, power/battery, warranty, model number

Home & Garden: dimensions, weight, material, color, room type, assembly required, care instructions

Health & Beauty: ingredients, volume/weight, skin/hair type, scent, cruelty-free/vegan status, usage instructions

Sports & Outdoors: material, dimensions/size, weight, activity type, weather resistance, capacity, certification

Food & Beverages: ingredients, weight/volume, allergens, dietary info, shelf life, storage instructions

Generic (fallback): material, dimensions, weight, color, use case, care instructions

If your product doesn't fit a specific category, Vantage uses the generic checklist.

Structured field bonus

Attributes stored in structured fields (Shopify metafields or variant options) earn a bonus on top of the base score. This is because structured data is more reliably parsed by AI agents than free-text mentions.

Tips to improve

1. Check your category. Make sure your products have the right product type or category so Vantage applies the correct checklist.
2. Fill in the obvious gaps. If you sell apparel and haven't listed the material or size anywhere, start there.
3. Use metafields. Storing attributes as product metafields in Shopify gives you a scoring bonus and makes data more structured.
4. Add attributes to variant options. Size, color, and material as variant options count toward completeness.
5. Mention attributes in descriptions. Even without metafields, attributes mentioned in your product description are detected.

Before and after

Poor example (Apparel):

Title: "Nice Dress" Description: "A beautiful dress that's perfect for any occasion." Tags: none Metafields: none

• Attributes found: 0 of 7 expected
• Score: 0/100

Good example (Apparel):

Title: "Everlane Women's Linen Relaxed-Fit Midi Dress — Navy, Size XS-XL" Description: "Made from 100% European linen. Relaxed fit with a crew neckline. Machine wash cold, hang dry." Tags: "women", "linen", "dress", "summer" Variant options: Size (XS, S, M, L, XL), Color (Navy, Sand, White)

• Attributes found: 7 of 7 (material, size, color, gender, care, fit type, neckline)
• Structured field bonus applied (variant options)
• Score: ~100/100

Common mistakes

• Wrong category assignment. If Vantage thinks your electronics product is apparel, it's checking the wrong checklist. Make sure your product type is accurate.
• Attributes in images only. If the only place you mention a product's material is in an image, Vantage can't detect it. Put it in text fields.
• Inconsistent attribute names. "Sz" instead of "Size" or "Clr" instead of "Color" — use standard names for better detection.