Built for Shopify Plus

Looking for the best alternative to Algolia?

See where your search stack is adding work. Cut manual tuning, ship visual discovery, and give merchandisers real control with Layers.

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The difference between Layers and Algolia

See meaning, not just matches

Algolia treats search as keyword matching. Layers treats it as intent recognition. Your shoppers don’t type perfect queries; they describe what they want. Layers understands “running shoes under $100 in red” without needing synonyms or rules. It reads the context, applies filters automatically, and learns what converts. Algolia makes you define that behavior manually.

Built for commerce, not code

Algolia was built for developers. Layers was built for ecommerce operators. It speaks Shopify: combined listings, multi-region catalogs, and currency-aware search work out of the box. Merchandisers can boost, pin, or hide products visually; no API juggling or JSON editing. Layers adds the intelligence and control Algolia leaves to engineering.

Lower total cost, higher control

One platform handles semantic search, visual discovery, and merchandising; no add-ons, no usage penalties. Algolia charges for operations and refinement queries; Layers doesn’t. The setup is done in a week, training included. Merchandisers actually enjoy using it.

Instant setup, zero babysitting

Layers syncs your catalog, variants, and filters directly from Shopify and starts ranking within hours. No synonym lists. No ongoing tuning. No scripts to maintain. Algolia expects weekly upkeep: synonyms, filters, rules, and QA. Layers self-optimizes from clicks, adds, and conversions so you can move on to merchandising, not maintenance.

Merchandising, you can see

Most search tools stop at relevance scoring. Layers add visual merchandising. Pin hero products, schedule time-based rules, run A/B tests, or preview collections before they go live. It blends behavioral data with margin, inventory days, and return rates; so your best products aren’t just popular, they’re profitable. Algolia can’t connect that loop without custom logic.

Global by default

Layers supports 100+ languages and Shopify Markets natively in one index. That means price, currency, and translations are automatic. Merchants don’t need to juggle separate indexes or manage locale configs. Algolia was never built for native multi-market Shopify environments.

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Layers vs Algolia

See why merchants switch from Algolia to Layers

Category

Feature

Layers

Algolia

Platform

Native ingestion of Shopify taxonomy

No

Support for Shopify combined listings and bundles

No

Native support for Shopify Markets: multi-region catalogs, currencies, languages

No

Multi-lingual catalog & storefront: translations of product content and search UI

No

Out-of-the-box storefront components/apps optimized for Shopify theme architecture

No

Search

No synonym lists needed, semantic embeddings understand meaning automatically

No

Multilingual model supports 100+ languages natively in one index

No

Detects user intent (e.g., “red shoes under $100” auto-applies filters and context.

No

Keyword search with prefix match, fuzzy matching, typo tolerance

Behavior-based learning at query level (clicks, adds, purchases)

No

Zero ongoing tuning — self-optimizes from behavior data

No

Semantic search/intent recognition (natural language queries, context understanding)

No

Acronym & abbreviation expansion (e.g., “4K TV” → “Ultra HD television”)

No

Multilingual query processing (recognize queries in X languages and map to the catalog)

No

Autocomplete / type-ahead suggestions with personalization

No

Camera/image-based search (upload or mobile camera query → product results)

No

Price detection in query (“Under $50”, “$200+”) and auto-filtering

No

Dynamic facet/filter generation based on search context (relevant filters only)

No

Faceting & filtering beyond Shopify standard filters (extend/custom attributes)

No

Query-result re-ranking via ML/AI (boost relevant items automatically)

No

Handling of incomplete or ambiguous queries (e.g., “summer dress size 8”)

No

Merchandising

Supports multiple custom orders per collection (not limited to one)

No

Rules engine for boosting/demoting products based on attributes, events, and performance

No

Drag-and-drop merchandising UI for manual ordering (pinning, sequencing)

Product sequences/lookbooks (define fixed ordered groups of products, e.g., outfit sets)

No

Ability to define custom metric formulas for ranking (e.g., 0.3 views + 0.7 margin)

No

Contextual boosting by segment (geo, marketing source, language)

No

Scheduled merchandising: time-based rules (e.g., promotional period, seasonal)

No

A/B testing of sort configurations (measure impact on conversion)

No

Variation of sort logic by market (Shopify Markets region-specific sort) or contextual data (utm)

No

Visual preview of search or collection page results for merchandising review

No

Integration of business performance metrics (margin, inventory days, return rate) into ranking

No

Support for pinning or excluding products dynamically (e.g., hide out-of-stock)

No

Company

1-week total onboarding time

No

All onboarding & training included

No

Training, documentation, and support resources are readily available (for merchandisers)

No

1:1 migration catalog sync from Shopify

No

No additional cost for refinement searches

No

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Frequently asked questions

What’s the core difference between Layers and Algolia?

Layers is purpose-built for Shopify Plus. It understands your catalog, variants, and merchandising logic automatically. Algolia is a developer-first engine that needs custom setup, synonyms, and ongoing tuning. Layers brings semantic and visual search with built-in merchandising; Algolia gives you raw infrastructure.

What’s the core difference between Layers and Algolia?

Layers is purpose-built for Shopify Plus. It understands your catalog, variants, and merchandising logic automatically. Algolia is a developer-first engine that needs custom setup, synonyms, and ongoing tuning. Layers brings semantic and visual search with built-in merchandising; Algolia gives you raw infrastructure.

What’s the core difference between Layers and Algolia?

Layers is purpose-built for Shopify Plus. It understands your catalog, variants, and merchandising logic automatically. Algolia is a developer-first engine that needs custom setup, synonyms, and ongoing tuning. Layers brings semantic and visual search with built-in merchandising; Algolia gives you raw infrastructure.

How fast can we go live on Shopify?

Most teams connect Layers and have live search and merchandising running within a few hours. Algolia often needs developer setup, index configuration, and API wiring before it shows results.

How fast can we go live on Shopify?

Most teams connect Layers and have live search and merchandising running within a few hours. Algolia often needs developer setup, index configuration, and API wiring before it shows results.

How fast can we go live on Shopify?

Most teams connect Layers and have live search and merchandising running within a few hours. Algolia often needs developer setup, index configuration, and API wiring before it shows results.

Will Layers learn from shopper behavior automatically?

Yes. Layers continuously learns from clicks, adds, and purchases to rerank results and boost what converts. Algolia relies on manual ranking rules, A/B testing, and constant tuning to achieve the same effect.

Will Layers learn from shopper behavior automatically?

Yes. Layers continuously learns from clicks, adds, and purchases to rerank results and boost what converts. Algolia relies on manual ranking rules, A/B testing, and constant tuning to achieve the same effect.

Will Layers learn from shopper behavior automatically?

Yes. Layers continuously learns from clicks, adds, and purchases to rerank results and boost what converts. Algolia relies on manual ranking rules, A/B testing, and constant tuning to achieve the same effect.

Does Layers support Shopify Markets and multilingual catalogs?

Absolutely. Layers handles multi-region, multi-currency, and multi-language catalogs in one index. Algolia typically requires separate indexes and language-specific setup.

Does Layers support Shopify Markets and multilingual catalogs?

Absolutely. Layers handles multi-region, multi-currency, and multi-language catalogs in one index. Algolia typically requires separate indexes and language-specific setup.

Does Layers support Shopify Markets and multilingual catalogs?

Absolutely. Layers handles multi-region, multi-currency, and multi-language catalogs in one index. Algolia typically requires separate indexes and language-specific setup.

What does pricing and maintenance look like?

Layers offers flat, predictable pricing with no additional cost for refinement searches or add-ons. Algolia bills by usage and query count, which can rise quickly. Layers also includes onboarding and training; no hidden fees, no separate support plan.

What does pricing and maintenance look like?

Layers offers flat, predictable pricing with no additional cost for refinement searches or add-ons. Algolia bills by usage and query count, which can rise quickly. Layers also includes onboarding and training; no hidden fees, no separate support plan.

What does pricing and maintenance look like?

Layers offers flat, predictable pricing with no additional cost for refinement searches or add-ons. Algolia bills by usage and query count, which can rise quickly. Layers also includes onboarding and training; no hidden fees, no separate support plan.

Which should I pick for visual and merchandising control?

If you want merchandisers to own the experience, pin products, create lookbooks, and preview pages, go with Layers. If you want a developer-first API search stack that needs engineering oversight, Algolia fits that profile.

Which should I pick for visual and merchandising control?

If you want merchandisers to own the experience, pin products, create lookbooks, and preview pages, go with Layers. If you want a developer-first API search stack that needs engineering oversight, Algolia fits that profile.

Which should I pick for visual and merchandising control?

If you want merchandisers to own the experience, pin products, create lookbooks, and preview pages, go with Layers. If you want a developer-first API search stack that needs engineering oversight, Algolia fits that profile.

© 2025

Building Blocks For eCommerce, Inc. All rights reserved.

© 2025

Building Blocks For eCommerce, Inc. All rights reserved.