
AI Fit Check for Fashion Retail
This data also powers your on-site personalisation, paid ads and how you interpret customer behaviour, so getting it right pays off everywhere.
Add your product page URL or your product feed URL to get started. One scan across your product feed, product pages and the open web.

Overall
product data fit
Scale
Fair
Trusted by fashion brands







Shoppers now ask in natural language, and what they get back is built from your product data rather than your page copy. AI is just the newest thing reading it.

Burgundy trench coat
Your fit check looks at three of the places that do, and two of them are yours to fix:
Your product feed: how it reads to AI shopping assistants and search engines - the same data your shopping ads bid on.
Your product pages: the on-page signals that verify your feed, and the same detail your on-site navigation and recommendations are built on.
Shoppers now ask in natural language, and the answer gets built from structured product data rather than page copy.
Google is blunt about it: complete, well-structured product data is not optional.
This data decides your on-site personalisation, what paid can bid on, and which customers you can put a garment in front of at full price.
Labelling gets a product found.
Understanding the relationships is what gets it chosen.
Colour
Works with
Occasion




Labelling gets a product found.
Getting it chosen depends on how one attribute relates to another, and how one product relates to the next.
Burgundy can also mean wine or maroon. A trench works with jeans, a knit and loafers for an autumn city break.
People built those relationships, not a model.
Scale: Needs work · Fair · Strong
How your feed reads to AI shopping assistants and search engines.
Both are accurate, correctly scoped and free of overclaim.
Tagged by priority, effort and what fixing it unlocks.
Your results
Overall
product data fit
Scale
Fair