PIES8.JSON-LD turns the product data you already maintain into the structured format Google, AI assistants and Shopify’s agentic storefronts actually read — schema markup on every product page, plus Catalog-ready metafields. One install. No theme edits. No developer.
Pre-launch waitlist · First 5 stores lock $79/mo for life
Default Shopify themes emit a basic Product JSON-LD — name, image, price, SKU. Everything that makes a part a part — which vehicles it fits, position, materials, packaging — never reaches the storefront <head>, so Google and AI assistants never see it. And fitment a buyer can’t verify is fitment that comes back as a return: industry studies attribute ~86% of auto-parts returns to fitment errors.
{
"@context": "https://schema.org",
"@type": "Product",
"name": "Brake Pad Set",
"image": [ … ],
"description": "…",
"sku": "BP-4421",
"brand": { "name": "…" },
"offers": {
"@type": "Offer",
"price": "49.90"
}
// generic retail fields.
// Which cars does it fit? Not here.
}
{
"@type": "Product",
"name": "Brake Pad Set",
"gtin": "00191234567890",
"mpn": "BP-4421",
"isAccessoryOrSparePartFor": [{
"@type": "Car",
"brand": { "name": "Toyota" },
"model": "Camry",
"vehicleModelDate": "2018"
}, … /* one per year/trim */],
"material": "ceramic",
"hasMerchantReturnPolicy": { … },
"offers": { price, availability, shipping }
// + the rest of your PIES 8.0 attributes
}
Left: what Google and AI assistants read today. Right: what your feed could give them.
Three checks, no tools to install. Don't take our word for it — run them on your own product pages.
Open 5 product pages, View Source, find <script type="application/ld+json">, and look at what’s inside Product — then look for anything automotive: fitment, vehicle coverage, position.
Paste those same 5 URLs into Google's Rich Results Test and see how many product enhancements (GTIN, shipping, returns, rating) you actually qualify for.
Likely partialAsk ChatGPT or Perplexity 5 fitment questions — "which [part] fits a [year + model]?" — and see whether your store shows up.
Likely close to 0If the numbers sting, that's exactly the gap we close.
Connects to the PIES 8.0 feed you already get from WHI, Turn14 or your supplier. No data entry, no re-mapping.
Maps every attribute to schema.org Product + Car/Vehicle fitment markup — fitment, GTIN, dimensions, materials, returns, shipping.
JSON-LD lands in the <head> of every product page for Google and crawling assistants — and the same attributes are written to structured metafields, ready for Shopify Catalog Mapping and agentic storefronts. 0 theme edits, 1 install.
One pipeline — every product page, every AI channel.
A Google merchant listing qualifies on name, image and price — but it's GTIN, return policy and shipping details that unlock the enhanced Shopping results buyers actually click. Most auto-parts pages publish almost none of it.
Shopify’s agentic storefronts plug ChatGPT, Perplexity and Copilot directly into Shopify Catalog — and Catalog builds its listings from structured attributes, including metafields. When a buyer asks for “brake pads for a 2019 Camry,” parts with machine-readable fitment pass the filter; the rest never enter the conversation.
PIES 8.0 went live industry-wide on March 26, 2026. Generic SEO apps stop at basic Product markup; fitment apps power on-site search but don’t publish structured data. No Shopify app today turns a PIES feed into automotive schema markup — that intersection is the gap we close.
Plans scale by value, not SKU count. The first 5 stores lock one flat founder rate — below every tier — for life.
The things merchants ask first. Anything missing? Reply to the launch email and ask.
<head> only — it never touches your theme files, templates or layout. Nothing visible changes for shoppers; the data is read by Google and AI assistants.Product + Car/Vehicle fitment markup (isAccessoryOrSparePartFor) that generic apps don't model.