Let's fix your search and merchandising

Layers is an enterprise search and merchandising platform built exclusively for Shopify Plus. Algolia, Searchspring, and Constructor all depend on keyword rules, synonym lists, and manual tuning. Layers handles intent automatically. Constructor and Nosto sell to every platform — their Shopify integrations are add-ons. Layers is Shopify-only, which means the catalog integration is native, not bolted on.

It's the only platform in this space that treats metafields, metaobjects, combined listings, B2B catalogs, and Expansion Stores as first-class features rather than edge cases.

Yes — Layers can spin up a demo instance connected to your real Shopify catalog so you can test search, merchandising, sorting, and visual discovery against your actual products. Reach out to the Layers team to get one set up.

A lot. Search behavior, ranking relevancy, query understanding, merchandising rules, sort orders, facets, autocomplete, and semantic redirects are all configurable from the dashboard. Search Instructions let you write freeform guidance that shapes how the engine interprets queries for your specific catalog. Most behavioral tuning is automatic — but if you want to get into the weeds, the platform supports it.

Layers quotes based on your last 12 months of collection page views and total search requests. No overage charges — if your traffic grows beyond the estimate, your rate stays the same. You can lock in the quoted price for up to a year.

Most merchants switching from Algolia, Searchspring, or Constructor save up to 50%. Pricing is usage-based, and the platform bundles search, merchandising, and recommendations — so you're not paying separately for each piece.

For most Shopify Plus merchants, yes. Teams switch from Algolia, Searchspring, and Constructor because Layers is cheaper, faster to set up, and built specifically for Shopify. Search, merchandising, and visual discovery are all in one platform — no stitching together separate tools or paying for features that only exist because the vendor also serves non-Shopify stacks.

Yes. Onboarding, catalog sync, launch support, and team training come with the platform. There is no separate implementation project.

The Layers team works with you on complex rules, ranking formulas, recommendation structures, and fallback logic. If you're trying to build something intricate, they'll help you get it right — it's not documentation-only.

It only does Shopify Plus. Metafields, metaobjects, combined listings, bundles, B2B catalogs, and Expansion Stores work out of the box because the platform was designed around them — not retrofitted later. Tools built for a dozen platforms tend to handle Shopify catalogs well enough. Layers handles them correctly.

Expansion Stores are fully supported with no extra cost for shared catalog data.

For Shopify Markets: Translations and Market Regions work. Per-market pricing does not yet.

Yes. When a storefront request includes a company location, Layers scopes search, browse, and Blocks results to that catalog automatically — right product assortment, right price list, right collections. B2B and DTC requests are separated without extra configuration.

Layers pulls metafields and metaobjects directly from Shopify and makes them available for search, filtering, and merchandising rules. No manual mapping.

Layers ingests product, variant, collection, taxonomy, metafield, and inventory data directly from Shopify. Updates come through in near real time.

No. Layers interprets intent, handles acronyms, and expands queries automatically. No synonym lists, no ongoing tuning. It gets better as shoppers use your store.

Layers supports 110+ languages out of the box — no translated catalog required. Shoppers search in their language and Layers maps it to your catalog. This works across search, browse, and visual discovery.

Yes. Layers includes visual discovery — shoppers can search from a photo and find visually similar products from your Shopify catalog. You configure image search inputs and test results in the dashboard.

Yes. Layers builds affinity profiles from searches, clicks, add-to-carts, and purchases. Returning shoppers see those preferences reflected in their results without needing to repeat a search — the ranking shifts based on what the platform knows about them.

Layers is built around product search. For informational queries — shipping policies, returns, technical topics — semantic redirects route shoppers to the right page when the query matches a known intent. It covers the common cases without mixing article results in with products.

Yes. Blocks can be placed on any page, including blog articles, and filtered by any catalog attribute — lens technology, material, ingredient, whatever the article is about. Recommendations update based on behavioral and similarity data as the catalog changes.

Yes. Misspellings, partial queries, and natural language all work without configuration. Typo tolerance is built in across all supported languages.

Yes. Pin products, build sequences, schedule rules, boost or demote by any attribute, and preview before going live. Rules work on both search results and collection pages.

Dynamic Linking pins the products featured in an ad to the top of the corresponding collection page for shoppers arriving via UTM-tagged URLs. It runs through utm_products parameters and the Layers tracking pixel — no manual rule per campaign. The pinning is session-scoped and does not affect organic ranking for other visitors.

Rules are evaluated in priority order. A UTM-based Dynamic Linking rule takes the top positions for that session; the base sort governs the rest. Multiple UTM tags in the same session resolve to the highest-priority matching rule. If you have a complex campaign structure, Layers can help configure the right hierarchy.

Yes. Sort orders support multi-criteria ranking. Set price low to high as the primary, then define a tiebreaker — bestseller rank, margin, inventory level — to determine which products surface first among identical prices.

Create a tag-based merchandising rule and set it to apply globally. Any product tagged "winners" gets pinned to the slots you define — positions 1, 2, 4, whatever — across every collection page. The rule evaluates in real time as products gain or lose the tag.

Yes. Sequences reference products by ID, not by collection membership, so a sequence can include products from anywhere in your catalog. Useful for cross-category AOV plays where the pairing logic does not map to how Shopify collections are structured.

Yes. Sort orders can blend behavioral signals with business data — margin, inventory position, return rate, revenue per session. Formulas are built in LayersQL and can be applied per collection or globally.

Yes. Test ranking strategies and merchandising rules against conversion, revenue, and discovery metrics before rolling changes out.

Yes. Multiple people can edit merchandising rules and sort orders at the same time — live cursors, field locking, threaded comments. Changes preview before going live.

24/7 support, a published SLA, and a live status page. Infrastructure runs on AWS with global distribution.

At status.uselayers.com. Live infrastructure health and incident history are both there.

Layers works with your team post-launch on search quality, merchandising, and optimization. The engine improves from behavioral data over time, and the team is available as your catalog and traffic grow.