AddSearch vs Constructor
AddSearch
addsearch.com
Constructor
constructor.comSide by side
| Figure | AddSearch | Constructor |
|---|---|---|
| Price from | $119/mo | — |
| Free plan | — | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Plans published | 11 | 1 |
| Spec score · Search Analytics Software | 8.3 (#5) | 8.3 (#6) |
| Spec score · AI Search and Discovery Platforms Software | 8.3 (#5) | 8.3 (#6) |
| Spec score · Site Search Software | 8.3 (#7) | 8.3 (#8) |
| Founded | 2013 | 2015 |
| Integrations | The Core plan lists Google Analytics integration, and AddSearch offers native WordPress and Shopify applications. | Constructor's partner page lists technology partners including Akeneo, Alokai, BigCommerce, commercetools, Contentful, Contentstack, Salesforce Commerce Cloud, Shopify, and VTEX. |
| Privacy | AddSearch says it stores end-user queries temporarily to provide the service and lists query and device-related data among the processed data. | Constructor says it minimizes personal data and anonymizes identifiers using anonymous IDs, IP address truncation, and hashing. |
| Product | AddSearch combines website keyword search, AI answers, and AI conversations for content discovery. | Constructor describes itself as an AI-native commerce discovery platform that interprets shopper behavior, context, and intent. |
Plans
AddSearch
- CorePriced on request
- GrowthPriced on request
- AdvancedPriced on request
- Core$119 a month
- Growth$299 a month
- Advanced$599 a month
- AI Answers$8,400 a year
- AI Answers + Keyword SearchPriced on request
- AI ConversationsPriced on request
- AI Conversations + SearchPriced on request
In their own words
Constructor
Constructor is a cloud platform for ecommerce search and product discovery, founded in 2015. It uses shopper behavior, context and intent to personalize discovery across search, autosuggest, browse, recommendations, collections, quizzes and retail media. The AI Shopping Agent guides shoppers through natural-language product searches, while the Product Insights Agent answers personalized product questions. Merchant Intelligence Agent and Merchandiser Controls provide merchandising insights, dashboards, reports, controls and experiments. B2B capabilities cover account-segmented pricing and availability, personalization and discovery across large catalogs. Search options include hybrid, vector and faceted search, with zero-result reporting, search conversion tracking and result click analytics. Catalogs can be supplied through connectors, scheduled JSON, JSONL or CSV feeds, or REST API updates. APIs and browser or server-side client libraries support retrieving results, sending behavioral events and updating data or configurations; named client libraries include JavaScript, Swift and Kotlin. Constructor says it reduces personal data exposure using anonymous IDs, IP truncation and hashed identifiers. Pricing is not published; prospective customers are directed to book a demo.