Constructor vs GoSearch Analytics

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.

GoSearch Analytics is an AI enterprise search knowledge layer for finding information across connected apps and using it in agents and no-code workflows. Semantic search uses context, intent, and relationships to locate resources and answers. Its AI chat can answer questions, summarize insights, analyze data, and generate files using company knowledge. Users can build role-specific agents with custom instructions, knowledge, tools, and skills, then create multi-step workflows through a drag-and-drop builder or natural-language prompts. GoSearch says it connects to more than 100 apps, including Slack, Google Drive, Jira, Notion, and Salesforce. Connectors can sync indexed content, fetch data in real time without copying it, or use MCP. The maker says source permissions are preserved and administrators can control indexing, hide or verify content, and flag PII. It also says queries and data are not stored or used to train AI models. Deployment in a customer's own cloud and use of its own LLM provider and API key are supported. Free is available; Pro costs $20 a month billed user/month.