Solutions / Footwear
Fit-aware discovery for footwear.
Footwear lives or dies on fit. Width, size, activity, and material decide the sale, and they rarely sit in the product title. Catalog Genius extracts them so a shopper can search 'wide waterproof trail shoe, size 10' and get it.
Not ready? Score your store free first →Before and after
The same product, made readable.
Marketing copy still wins the human eye, while the structured attributes are what let an agent match your footwear product to a real question.
Before Atomz, an agent reads
After Atomz, an agent reads
The attributes that matter here
What a footwear shopper actually searches on.
These are the fields Catalog Genius writes to your metafields for this category. Each one is a match point a human filter and an AI agent can both use.
A real query
waterproof trail shoe, wide fit, size 10, under $180
Every word in that query maps to a structured attribute above. That is what makes it answerable, on your store and inside an AI agent.
Collective Shoes surfaced 1,539 previously unfindable products and turned search into NZ$624K in revenue.
The suite, applied to Footwear
Four features, reading one footwear catalog.
Catalog Genius
Writes size, width, material, and more to every footwear product's metafields, mapped to the Shopify Standard Product Taxonomy.
AI Search
Turns “waterproof trail shoe, wide fit, size 10, under $180” into attribute filters and semantic matches, with merchandising rules to pin or promote by margin, stock, or campaign.
AI Assistant
Answers grounded in your footwear attributes and brand voice, recommends complete in-stock options, and never invents a product you do not sell.
AI Insights
Scores how readable your footwear catalog is and flags the exact attributes you are missing, product by product.
How Atomz does it
From your catalog to a readable one, in three steps.
Read your catalog
Catalog Genius ingests every footwear product you already have, with no re-platforming and no manual tagging.
Map and extract
Each product is matched to the Shopify Standard Product Taxonomy, and the attributes above are extracted and written to your metafields.
Search, assistant, off-site
AI Search, the assistant, and AI agents off your store all read those attributes, so the right product surfaces for the right query.
See how readable your footwear catalog is today.
Atomz for Footwear, in short
Does Atomz understand width and fit?+
Yes. Width and size are structured attributes written to your metafields, so 'wide fit' or 'size 10' match the real product, not a keyword guess.
Do I have to tag products by hand?+
No. Catalog Genius reads the products you already have and writes these attributes for you, mapped to the Shopify Standard Product Taxonomy and saved to your metafields. Manual tagging is the thing it removes.
Get started
See what an agent reads when it hits your store.
Drop your store URL for a free readability score, or add the app and Atomz starts making the catalog readable today.