

New: see what an AI assistant sees when it looks at your site. Run the check
AI assistants are becoming a discovery layer between consumers and businesses. They research, compare, and recommend — and increasingly, they buy. This is the shift from the attention economy to the intention economy, and it’s already underway.
The catalog updates once. The storefront a person sees and the structured record an agent reads both carry it — same product, same price, same availability.
Neural Core · catalog
NP Logo Tee — White
NP-TS-W-2026 · $24.99
What a shopper sees
NP Logo Tee — White
$24.99
● In stock · ships tomorrow
What an agent reads · same record
{
"@type": "Product",
"name": "NP Logo Tee — White",
"sku": "NP-TS-W-2026",
"price": "24.99",
"priceCurrency": "USD",
"availability": "InStock"
}The shift
More questions are answered inside the AI interface itself, and the traffic that used to reach your site increasingly never leaves it.
What starts as “help me research” increasingly becomes “find and buy the best option.” Agents don’t browse — they query structured data, compare specifications, and act on someone’s behalf.
Being unreadable to an agent isn’t a technical footnote. There’s no bounce, no abandoned cart, no line in the analytics — the agent simply recommends someone else.
ChatGPT, Perplexity, Gemini, Claude — each a discovery interface, each reaching catalogs its own way. Queryable, structured data is the price of being considered at all.

In the product
The shopper
A storefront that guides a person toward a decision. The agent layer stays out of their way.
The agent
The same record, published as clean, machine-readable data.
The agent · WebMCP
Through WebMCP, the same surface can hand an agent callable tools.
The agent · UCP
Storefronts publish a Universal Commerce Protocol (UCP) profile, so an AI assistant can search the catalog and read live prices directly.
What's built in
Every product published as clean, machine-readable data from the same record your storefront renders — names, prices, specifications, availability.
Storefronts publish a Universal Commerce Protocol (UCP) profile, so an AI assistant can search the catalog and read live prices and availability directly.
Through WebMCP, the same surface hands an agent callable tools instead of a page to scrape.
The price an agent quotes is the price the shopper pays. Nothing to reconcile, because there is only one record.
None of this changes what a person sees. The storefront, search and checkout that close the sale are their own product.
Website Experiences →Questions
A consumer who uses AI assistants — ChatGPT, Perplexity, Gemini, Claude — to research, compare, and increasingly purchase. The human delegates discovery; the agent queries data, filters options, and recommends.
SEO optimizes for search rankings. This is about being queryable by AI agents, which is a different technical requirement: agents query structured data rather than crawling and ranking pages. You can rank well on Google and still be unreadable to an assistant.
It still matters for people — the storytelling, product exploration, and trust that close sales. It just isn’t sufficient on its own. You need infrastructure that serves the humans who browse and the agents who query.
It already is for considered purchases, where a buyer asks an assistant to narrow the field before they ever see a website. Building now means positioning ahead of the market; waiting means catching up to it.
Keep exploring