Commerce Search 2.0
Built for merchants.
Not marketplaces.All 6 million of them

Natural language, precise color, and image similarity — combined in a single, plug-and-play search bar. Not a sidebar snap-on agent. Discovery time drops from minutes to just seconds, across the entire merchant catalog.

Turns supplier junk — keyword-stuffed titles, raw HTML specs — into clean, AI-readable product data. Built for the 1M+ Shopify dropshippers whose catalogs were never made for human shoppers, much less AI agents.

The bridge to ChatGPT, Perplexity, Google Gemini, and Shopify's UCP. Generates compliant product feeds in every protocol the AI agents actually read — completing the 360° AI discovery suite.

AI virtual try-on. Two modes on one engine: consumer mode lets shoppers create avatars and try outfits on Shopify PDPs (Look creation drives multi-item single-click checkout); B2B mode generates bulk model-shots for merchants without on-model photography. Fully-functional MVP demo at vairetail.com/studiogpt-search — real catalog, end-to-end try-on and checkout.

5–10x TAM expansion.

Today's products are Shopify-native. The API extends the engine to non-Shopify integrators — every headless storefront, every ERP, every AI agent that wants trimodal AI search and AI-readable catalog feeds without rebuilding the underlying infrastructure. Same engine, new audience.

Feed/GEO is its own category.

Search and Enrichment APIs sit in competitive markets. Feed/GEO doesn't — every PIM, ERP, headless storefront, and agency that wants its catalog visible to ChatGPT, Gemini, Perplexity, and Shopify UCP becomes a candidate buyer. catalogGPT, exposed as infrastructure — and the only player addressing the AI-discoverability layer head-on.

Application multiples → infrastructure multiples.

API-first / infrastructure SaaS commands 10–20x ARR multiples (Algolia, Twilio, MongoDB) versus 5–8x for application SaaS. The same revenue line is worth materially more once the API has traction. Category step-up, not just a product line.

Compresses the build-vs-buy clock.

Once the API ships, every adjacent search and feed vendor — Algolia, Coveo, Constructor, the legacy feed-management stack — has a sharp decision: build trimodal + 16M-shade color + AI-ready feeds in their own platform, partner, or acquire the team that already shipped it. Multi-quarter project for them; ~80% complete for visualAI.

Real cloud infrastructure.
Not a wrapper.

325K+ lines of AI-native code running on a real production cloud backend — custom embedding pipelines for text, color, and image; a synonym graph; a multi-stage enrichment pipeline; production APIs serving live merchant catalogs. Anyone can vibe-code a chatbot. Almost no one can build this.

A breakthrough in
precise color search.

True 16M-shade color discovery — embedding-based, not category-based. The difference between coral and salmon, between forest green and olive, across thousands of products in real time. No commerce search platform on the market does this at this precision.

34-claim pending patent.

USPTO Application No. 19/211,109 — covering the multimodal search architecture and the underlying AI enrichment pipeline. Filed before the category was named. Both domestic and international protection requests have been filed.

A compounding
commerce-intent dataset.

Every shopper query, every color picked, every image searched — captured as structured data. Aggregated across the merchant network, it becomes a proprietary, real-time signal of what shoppers want, by category, by demographic, by season. The longer we run, the harder it is to catch.

Three revenue streams.
One codebase.

shopperGPT, cleanerGPT, and catalogGPT all leverage the same proprietary enrichment pipeline. Independent pricing power across three subscription products — built and maintained at a fraction of the cost of three standalone stacks. AI-Lean by architecture, not by belt-tightening.

Zero-risk merchant adoption path.

shopperGPT installs at 0% of traffic. Nothing changes on the merchant's store until they decide. A/B controlled from 1% to 100%, live conversion delta vs. native search, one-button revert in under 90 seconds. The fear of swapping out search has frozen this category for a decade. We just removed it.