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
Feature
Layers
Algolia
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
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
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
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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