Features

Catalog data that knows how your products relate.

Three capabilities that turn a list of products into answers.

Relationship mapping

Know what fits, what's needed, and what replaces what.

Shoppers rarely ask for a product on its own. They ask whether it fits something they own, or what else they'll need. Relationship mapping records those links as data, across your whole catalog.

LinkExampleWhat the shopper sees
FitsL-bracket fits Sony A7 IV"Fits your camera"
NeedsL-bracket needs an Arca-Swiss plate"You'll also need"
ReplacesModel B replaces discontinued Model A"Out of stock? This replaces it"
Pairs withBoots pair with waterproof gaiters"Goes well with"

What it powers

"Will this fit?" answers in search and AI assistants, "you'll also need" suggestions, and substitutes when stock runs out.

Included in

FixEnterprise

Value standardization

One value for one meaning.

Supplier feeds and years of manual edits leave the same thing spelled many ways. Filters split, search misses, and AI assistants can't compare. We merge those spellings into one shared list of values, and turn text into numbers you can compare.

BeforeAfter
blk · BLACK · Jet blackBlack
140cm · 140 cm · 1.4m140 cm
Waterproof · water-proof · WPWaterproof: Yes

What it powers

Filters that actually narrow things down, comparisons like "under 140 cm", and cleaner shopping feeds.

Included in

FixEnterprise

Find out what your store could be answering.

Paste your store URL. See which shopper questions your catalog misses, and which details are missing.

Free. Takes about a minute. Works with Shopify stores today.