Joe Monastiero

ShopperGPT - Levels the AI playing field for mid-market commerce shops

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Most Shopify search is 20-year-old keyword matching. shopperGPT replaces it with a patent-pending AI engine that understands natural language, precise color, and image similarity. One-click install starts a pipeline that ingests and enriches your catalog, then builds vector embeddings for text, color, and images. Built-in A/B testing lets you launch on as little as 1% of traffic with side-by-side metrics to prove the lift before scaling up. No theme changes, one-click rollback.

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Joe Monastiero
Hi Product Hunt, Joe here, founder of visualAI. I've spent the last decade working on product discovery across text, image, and color search, and two years ago I started building shopperGPT to fix something that has bugged me forever: most commerce stores still run on keyword search that works like it's 2005. A shopper types "flowy summer dress in dusty rose" and gets zero results while the perfect product sits three rows deep in the catalog. The merchant loses the sale and never knows why. shopperGPT replaces that with a patent-pending AI engine that understands natural language, precise color, and image similarity. Install is one click: we ingest and enrich the catalog, build vector embeddings for text, color, and images, and swap in modern AI search with no upfront costs to the merchant. The biggest lesson from working with shop owners: nobody wants to rip out their search on faith. So we built A/B testing in from day one. Start at 1% of traffic, watch the comparison metrics in your dashboard, roll back with one click if you're not convinced, and crank the volume when you are. One more thing: shopperGPT is the first of five products on the visualAI platform - AI search, image cleanup, virtual try-on, catalog enrichment, and a developer API are all on the same pipeline. It's live in production today. Happy to answer anything about the tech, the build, or the results we're seeing. Ask away!