What's newin Layers

Target merchandising rules, banners, and more at shoppers arriving from a specific Listrak email send.

Filter and facet search and browse results by local pickup location and distance.

A/B test sort orders against one or more challengers and measure conversion, add-to-cart, and revenue lift with statistical confidence.

Layers now detects geo-shaped values in JSON metafields automatically, so geo attributes are ready without manual setup.

Merchandising banners can now carry structured, typed fields — a headline, a countdown date, a product reference — not just an image and a link, defined once in Configure → Banner Types and reused across rules.

AI agents can now ask for your approval before a merchandising rule change goes live — review the request from your dashboard inbox and approve or reject it before anything publishes.

The sort order preview now breaks a Weighted Group blend down feature by feature — raw value, normalized score, weight share, and contribution — so you can see exactly why a product ranked where it did.

Request the new `collection_titles` attribute on Search, Browse, and Block responses to get every collection a product belongs to, with no follow-up lookup required.

Similar Products recommendations now build from the exact variant a shopper is viewing, not just the overall product, for more relevant matches on color- and size-specific pages.

Reviews.io review ratings and counts now sync as product and variant attributes you can sort, filter, and merchandise by.

Judge.me, Fera, Junip, Smile.io, LoyaltyLion, and Swym Wishlist Plus are now available as Layers catalog integrations.

Watch AI agents apply facet and merchandising changes step by step, each move captioned with the reason behind it.