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Agentic discovery

Millions of merchants. Billions of products.

Agents pick one answer.

AI agents don't browse a category page. They decide what to recommend.
Clean, structured product data makes your catalog legible enough to be the answer they choose.

An AI answer agent finding the one matching product in a massive pile of similar catalog items — the needle in the agentic haystack

Get the data wrong and you're not competing for visibility. You're invisible.

Give every agent the same trustworthy answer.

Agentic discovery starts before the feed. The catalog has to be clean, complete, and structured enough for an agent to understand it without guessing.

Clean the source

Rewrite keyword-stuffed titles, fill missing attributes, and score completeness product by product.

Structure the answer

Turn one consistent catalog into records agents can retrieve, compare, and trust.

Publish everywhere

Generate the protocol surfaces agents already use instead of maintaining disconnected exports.

Six feeds. One catalog.
No drift.

catalogGPT publishes the same enriched catalog to every protocol that matters. There are no separate exports to maintain and no mismatch between the data an agent sees and the data on your site.

Open the diagram to inspect each output.

UCP catalog

Universal Commerce Protocol — real-time catalog search and lookup for agents

ACP feed

Agentic Commerce Protocol — a JSONL stream for agent shopping

JSON-LD @graph

A full Schema.org graph for direct LLM consumption

Perplexity feed

A Perplexity Merchant Program JSON envelope

Storefront JSON-LD

Per-product JSON-LD injected through a theme extension

llms.txt

A storefront-served file for AI crawler discovery

See the product gaps before an agent does.

Every product receives a readiness score, not a catalog-wide average. See which listings agents can represent well today and which missing fields keep the rest from being recommended.

Explore AI visibility analytics

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?

Answer all 3 questions above to see your score.

Stop being invisible to AI agents.

Make your catalog clean, readable, and ready to be recommended wherever shoppers ask.

Get Started →