5× higher conversion.That's what AI shoppers deliver — when they can actually find what they're looking for.
visualAI is the platform for 360° AI commerce discovery — AI-native search and virtual try-on that convert the shoppers on your storefront, universal feeds that get your catalog found across ChatGPT, Gemini, and Perplexity, and REST + MCP APIs to build it all into any stack.
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Welcome to the Land of the Great Unfound.
Ten million merchants. Hundreds of millions of products. All trying to get a seat at the table — competing for the same AI mention on ChatGPT, Perplexity, and Google.
GEO helps — but it doesn't guarantee you'll be found. And even when you are, a storefront that can't convert the shopper means that visit was wasted.
The offsite race
Chasing GEO and AI feeds puts you in an ocean of competitors with bigger budgets, larger catalogs, and more brand authority. The merchants who win that race are the ones who were already winning without it.
The onsite advantage
The merchants who win are the ones who own the experience when a shopper arrives. Fix the onsite experience first. Then amplify offsite. That's the only sequence that compounds.
visualAI is the only platform that does both — AI search that converts onsite, and catalog feeds that get you found offsite. One pipeline. One platform.
One platform for 360° AI commerce discovery.
From onsite search that converts the shopper in front of you, to offsite agentic exposure that gets you recommended on ChatGPT, Gemini, and Perplexity, to the APIs and MCP server to build it into any stack — visualAI covers the full arc on one platform.
Search that converts
Trimodal AI search and visual try-on turn the shoppers already on your storefront into orders.
Found by the agents
AI-readable feeds and MCP distribution surface your catalog inside ChatGPT, Gemini, Perplexity, and Claude.
The engine as an API
The whole platform as REST endpoints plus an MCP server — drop it into any storefront, stack, or agent.
Turn it on as Shopify apps today — or build on the platform directly through discoverGPT.
Keep discovery on your store. Trimodal AI search that finds what shoppers actually mean — text, image, and color — not just what they typed. Live in the Shopify App Store.
The foundation everything else runs on. AI that cleans your catalog data, rewrites keyword-stuffed titles, and scores completeness — in production on an 8,000+ product store.
One engine, two surfaces. Real-time virtual try-on at the product page, plus bulk on-model studio photography for the rest of your catalog. Live now on a real Shopify store.
Generative Engine Optimization. AI-ready UCP, ACP, and Schema.org feeds that put your products in front of ChatGPT, Google AI Mode, Gemini, and Perplexity simultaneously.
The platform itself, open to build on: trimodal search, data enrichment, universal agentic feeds, and virtual try-on exposed as REST APIs plus a Model Context Protocol (MCP) server. Build it into any storefront, stack, or AI agent host (ChatGPT Apps SDK, Claude, Gemini). One API, every protocol that matters — and the Shopify apps above are built on it.
How it works
Not a pipeline — a loop. Five steps from raw catalog to AI product discovery that improves itself.
Ingest
Connect your Shopify store or upload a product feed. Your catalog syncs in real time — products, variants, images, and metafields.
Enrich
AI analyzes every product — cleaning data, extracting colors and attributes, filling gaps, and making your catalog retail-ready.
Embed
Every product is converted into AI embeddings — text, image, and color vectors that let machines understand meaning, not just match keywords.
Distribute
Power your storefront search and push AI-ready feeds to ChatGPT, Gemini, and Perplexity simultaneously.
Learn
Every search on your storefront teaches your catalog. Real shopper queries, image searches, and zero-result misses flow back into enrichment — so your products get more findable every day.
↺ What we learn onsite flows back into enrichment. Feed tools push data out. Only visualAI listens to shoppers and feeds it back.
The AI commerce gap
Everyone built checkout. Nobody built the AI discoverability layer — until now.
| Capability | Existing tools | visualAI |
|---|---|---|
| Checkout infrastructure | ✓ | — |
| Brand-level GEO | ✓ | — |
| Basic feed management | ✓ | — |
| Multimodal product data enrichment | — | ✓ |
| AI-native onsite trimodal search | — | ✓ |
| UCP + ACP + Schema.org feed output | — | ✓ |
| Catalog GEO (product discoverability) | — | ✓ |
| Shopper intent capture → catalog feedback | — | ✓ |
GEO — Generative Engine Optimization: making products discoverable by AI agents like ChatGPT, Gemini, and Perplexity.
How visible is your store to AI?
Answer 3 quick questions and see how well an AI agent would represent your store based on your current catalog data.
1. What platform are you on?
2. How many SKUs do you have?
3. How clean is your product data?
The AI commerce infrastructure layeris being built now.
Early access is limited. The window to build your AI commerce advantage is open — but not forever.