See the difference
Layers vs Algolia
Better E-commerce focused results for a better price.
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platform
| Feature | Layers | Algolia |
|---|---|---|
| Native ingestion of Shopify taxonomy | Yes | No |
| Support for Shopify combined listings and bundles | Yes | No |
| Native support for Shopify Markets: multi-region catalogs, currencies, languages | Yes | No |
| Multi-lingual catalog & storefront: translations of product content and search UI | Yes | No |
| Out-of-the-box storefront components/apps optimized for Shopify theme architecture | Yes | No |
search
| Feature | Layers | Algolia |
|---|---|---|
| No synonym lists needed, semantic embeddings understand meaning automatically | Yes | No |
| Multilingual model supports 100+ languages natively in one index | Yes | No |
| Detects user intent (e.g., "red shoes under $100") and auto-applies filters and context | Yes | No |
| Keyword search with prefix match, fuzzy matching, typo tolerance | Yes | Yes |
| Behavior-based learning at query level (clicks, adds, purchases) | Yes | No |
| Zero ongoing tuning - self-optimizes from behavior data | Yes | No |
| Semantic search/intent recognition (natural language queries, context understanding) | Yes | No |
| Acronym & abbreviation expansion (e.g., "4K TV" -> "Ultra HD television") | Yes | No |
| Multilingual query processing and catalog mapping | Yes | No |
| Autocomplete / type-ahead suggestions with personalization | Yes | Yes |
| Camera/image-based search | Yes | No |
| Price detection in query and auto-filtering | Yes | No |
| Dynamic facet/filter generation based on search context | Yes | No |
| Faceting & filtering beyond Shopify standard filters | Yes | Yes |
| Query-result re-ranking via ML/AI | Yes | No |
| Handling of incomplete or ambiguous queries | Yes | No |
merchandising
| Feature | Layers | Algolia |
|---|---|---|
| Supports multiple custom orders per collection (not limited to one) | Yes | No |
| Rules engine for boosting/demoting products based on attributes, events, and performance | Yes | Yes |
| Drag-and-drop merchandising UI for manual ordering (pinning, sequencing) | Yes | Yes |
| Product sequences/lookbooks | Yes | No |
| Ability to define custom metric formulas for ranking | Yes | No |
| Contextual boosting by segment | Yes | Yes |
| Scheduled merchandising: time-based rules | Yes | Yes |
| A/B testing of sort configurations | Yes | Yes |
| Variation of sort logic by Shopify Market or contextual data | Yes | No |
| Visual preview of search or collection page results for merchandising review | Yes | No |
| Integration of business performance metrics into ranking | Yes | No |
| Support for pinning or excluding products dynamically | Yes | Yes |
company
| Feature | Layers | Algolia |
|---|---|---|
| 1-week total onboarding time | Yes | No |
| All onboarding & training included | Yes | No |
| Training, documentation, and support resources are readily available | Yes | No |
| 1:1 migration catalog sync from Shopify | Yes | No |
| No additional cost for refinement searches | Yes | No |
”Layers punches well above its weight. The platform is powerful and the SDK is easy to use and gives us the flexibility to build any search experience a merchant can imagine. The team's Shopify dev agency roots mean they actually get what dev partners need.
~
Jason Hassold, Founder & Lead Developer, Negative Space
”Layers was the first time we were able to create the kind of sort orders we were used to having in Salesforce. We saw a pretty immediate impact on conversion rate.
”Layers doesn't just merchandise, it also finds the strategy and provides unparalleled control, all while saving us hours we didn't know we were losing. Not to mention, we’ve seen a massive lift in key KPIs
~
Brittany Csik, eCommerce Manager, Negative Underwear
”Layers punches well above its weight. The platform is powerful and the SDK is easy to use and gives us the flexibility to build any search experience a merchant can imagine. The team's Shopify dev agency roots mean they actually get what dev partners need.
~
Jason Hassold, Founder & Lead Developer, Negative Space
”Layers was the first time we were able to create the kind of sort orders we were used to having in Salesforce. We saw a pretty immediate impact on conversion rate.
The difference is clear
Save up to $200,000 annually
Switch to Layers and save up to 40% compared to other enterprise platforms, without losing a dollar in revenue.
Cost savings based on real-world onboarding data. Results vary by volume and features utilized.
