Common Mistakes

These are the most frequent anti-patterns we see in product catalogs. Each one directly hurts your AI readiness score. Scan this list before you start optimizing — avoiding these mistakes is just as important as making improvements.

Marketing-heavy titles

The problem:

"The ULTIMATE Amazing Premium Luxury Widget - BEST SELLER!!!"

Titles stuffed with marketing fluff score poorly on Title Quality. Words like "ultimate," "amazing," "premium," "best," and "incredible" add noise without information. ALL CAPS and excessive punctuation make it worse.

The fix:

"Acme Stainless Steel Kitchen Widget — 12oz, Dishwasher Safe"

Include brand, material, size, and useful identifiers instead.

Short or empty descriptions

The problem:

"Great product. You'll love it."

A product with no description text scores zero on Description Quality, and descriptions under 50 words earn nothing for the word-count component — capping the dimension well below its potential. AI agents need detailed, factual content to understand and recommend your product.

The fix: Write 150-300 words covering what the product is, what it's made of, its dimensions and specs, how to use it, and who it's for. Add a bullet-point specs section.

Missing product identifiers

The problem: No SKU, no barcode, no manufacturer part number.

Without identifiers, AI agents can't match your product to external databases, verify it against manufacturer data, or reliably distinguish it from similar products.

The fix: Add a meaningful SKU to every variant. If you sell branded products, look up the GTIN/UPC from the manufacturer and enter it in the barcode field.

Generic option names

The problem:

Options: "Option 1" (Small, Medium, Large), "Option 2" (Red, Blue, Black)

Shopify's default placeholder names are meaningless to AI agents. They need to know that "Small, Medium, Large" refers to size and "Red, Blue, Black" refers to color.

The fix: Rename options to standard labels: "Size," "Color," "Material," "Style."

No alt text on images

The problem: Five beautiful product photos, all with blank or generic alt text like "product image."

AI agents can't see your images. Without descriptive alt text, those photos contribute nothing to your product's data profile.

The fix: Write unique, descriptive alt text for every image. Describe what's shown: the angle, the detail, the context.

Wrong or missing product categories

The problem: Products with no Shopify category assigned, or categories that don't match the actual product.

Without proper categorization, Vantage can't apply the right attribute checklist, and AI agents can't classify the product correctly.

The fix: Open each product in Shopify, click the Category field, and select the most specific (deepest) category available.

Ignoring low-weight dimensions

The problem: Optimizing Title, Description, and Attributes (50.1% of score) but neglecting everything else.

The remaining seven dimensions account for 49.9% of your total score. A product with perfect titles and descriptions but no images, no SKU, no category, and no policies will still score around 50.

The fix: After addressing the top three dimensions, work down the priority list. The lower-weight dimensions often require less effort per point gained — adding shipping weight takes 10 seconds per product.