Constructor
Constructor is an ecommerce product-discovery system for improving onsite search, category browsing and recommendations. Merchandising and product teams can tune what shoppers see, while the store still needs a reliable catalog, search-behavior data and frontend implementation.
Constructor is an ecommerce product-discovery system for improving onsite search, category browsing and recommendations. Merchandising and product teams can tune what shoppers see, while the store still needs a reliable catalog, search-behavior data and frontend implementation.
Constructor is an ecommerce product-discovery system for improving onsite search, category browsing and recommendations.
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- Editorial Score
- 71/100
- Supported Platforms
- Custom API · Shopify
- Freshness
- Last reviewed Aug 2026 — Due for refresh

Buying view: Constructor is an ecommerce product-discovery system for improving onsite search, category browsing and recommendations. Merchandising and product teams can tune what shoppers see, while the store still needs a reliable catalog, search-behavior data and frontend implementation.
Capabilities
The platform combines product-catalog information with shopper behavior to power search results, autocomplete, browse pages and recommendations. Merchants can set merchandising rules and evaluate changes through experiments. It is a configured search-and-discovery system rather than a one-click replacement for every storefront search box.
What problem it addresses
Constructor is an ecommerce product-discovery system for improving onsite search, category browsing and recommendations. Merchandising and product teams can tune what shoppers see, while the store still needs a reliable catalog, search-behavior data and frontend implementation.
How people use it
The platform combines product-catalog information with shopper behavior to power search results, autocomplete, browse pages and recommendations. Merchants can set merchandising rules and evaluate changes through experiments. It is a configured search-and-discovery system rather than a one-click replacement for every storefront search box.
This composition map separates shopper-facing discovery experiences from merchant insight and control tools. Search, browse, recommendations and shopping agents are parallel ways shoppers find products; merchant intelligence and controls let the merchandising team inspect and adjust those experiences.
What each module does and its role
Search & Autosuggest
Search & Autosuggest is the shopper-facing search experience for queries and suggestions. It uses catalog information and shopper behavior to return and order products, while the merchandising team retains controls for the discovery experience.
Browse and Collections
Browse and Collections cover category navigation and curated product pages. Merchandisers use them to shape which products shoppers encounter while browsing, so this work sits beside search rather than being another step inside a search query.
Recommendations and Quizzes
Recommendations and Quizzes help shoppers narrow a product choice through suggested items or structured questions. They provide guided-discovery surfaces that use the same product context but do not imply the same interaction or placement as search.
Shopping and Product Insights Agents
These agents give shoppers a natural-language way to find products and ask product questions. They translate shopper intent into product discovery or product explanations; the page does not treat them as a general customer-service system or as proof of checkout automation.
Merchant intelligence and controls
Merchant intelligence and control tools are the operator-facing surfaces for inspecting discovery results, setting controls and running experiments. They let a merchandising team govern shopper-facing modules without turning reporting or a control setting into another shopper workflow.
Commercial plans
Constructor separates its free-to-install Shopify connector from the enterprise product-discovery subscription. The platform quote depends on the products and modules selected, traffic, environments, implementation and support; the connector is not a free Constructor platform plan.
Constructor public commercial reference
| Product or sales surface | Scope | Public price and status |
|---|---|---|
| Constructor Connect installation | Shopify integration entry; a separate Constructor subscription is still required for the product-discovery service. Included plan entitlements
| Free to install |
| Enterprise product-discovery platform | Contract scope varies by selected search, browse, recommendation or merchandising products, traffic, environments, implementation and support. Included plan entitlements
Optional add-ons
| Custom quote |
Comparable tools: price and workflow
| Tool | Workflow difference | Official public price reference |
|---|---|---|
| Algolia AI Shopping Assistant | Search relevance, browse experience, product discovery, and catalog merchandising are the central customer problem. Assess catalog feeds, behavioural events, frontend work, merchandising controls, and the boundary between search and broader experimentation. | Free: $0 (10K requests/month)Build: $1 per 1,000 requestsGrow: From $129/month |
| Elasticsearch | A technical team needs control to build and operate its own search or retrieval experience beyond a packaged commerce app. This shifts responsibility for relevance, indexing, frontend, operations, and scaling to the team. | Elastic Cloud Serverless: Ingest: $0.14 per VCU-hourElastic Cloud Hosted — Standard: From $99/month for the published reference deploymentElastic Cloud Hosted — Gold: From $114/month for the published reference deployment |
| Nosto | The priority is product recommendations, merchandising, and more relevant onsite discovery without leading with a full experimentation program. Check recommendation placement, catalog quality, rule control, data use, pricing model, and the testing discipline still required. | Product Experience Cloud: Contact salesContent Experience Cloud: Contact sales |
| Dynamic Yield | The team needs controlled testing and broader personalization across content, recommendations, merchandising, or journeys. It requires reliable data, a control group, implementation ownership, and a disciplined decision rule rather than a one-click rollout. | Shopify app installation: No installation charge; a paid Dynamic Yield account is requiredDynamic Yield subscription: Custom quote; ask sales for a written price based on traffic, channels, and selected servicesImplementation and usage scope: Custom quote; confirm included traffic, channels, services, integrations, and overage terms in writing |
| LimeSpot | The priority is product recommendations, merchandising, and more relevant onsite discovery without leading with a full experimentation program. Check recommendation placement, catalog quality, rule control, data use, pricing model, and the testing discipline still required. | LimeSpot Max: $150/month |
Frequently asked questions
What must be ready before Constructor goes live?
The catalog needs accurate product attributes, and the implementation needs the search and shopper-behavior events used for ranking and reporting. Merchandising rules should also be listed before the new experience is exposed to all traffic.
Who normally operates Constructor?
Merchandising or ecommerce product teams usually manage the search and discovery experience. Frontend and data teams are still needed for catalog feeds, event collection, delivery and experiment setup.
Is Constructor sold with public self-service pricing?
The current page does not identify a public self-service price. A sales discussion should cover catalog size, traffic, implementation scope and the product areas being purchased.
Native connections
Install Constructor Connect to keep Shopify products, variants, and collections synchronized to Constructor's catalog for search and discovery.
Constructor Shopify ConnectorSources
User reviews
58 reviewsChecked Aug 28, 2026
Constructor product review collection
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Latest public financing: $25 million Series B funding, announced Jun 17, 2024. Investors: Sapphire Ventures, Silversmith Capital Partners. Funding announcement
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