Why this page exists
This page builds technical credibility and supports the audit's claim that AI visibility starts with extractable ecommerce facts.
Learn what Shopify Product schema should expose for ecommerce SEO and AI search visibility, including brand, price, availability, image, SKU, reviews, variants, and product FAQs.
This page builds technical credibility and supports the audit's claim that AI visibility starts with extractable ecommerce facts.
Small technical teams, freelancers, and agencies managing AI discoverability for Shopify stores.
The report connects each visibility problem to crawl evidence, AI answer samples, competitor risk, and a concrete repair step.
Search and AI systems trust structured data more when it matches the visible page: product name, price, availability, images, variants, and brand should not conflict.
Many Shopify pages expose basic Product schema but omit the trust and buying fields that help recommendation answers compare options.
The right schema depends on the store's theme, review app, variant structure, and whether the visible page supports the fields being emitted.
The goal is not to paste the largest JSON-LD block possible. Good Shopify schema should be accurate, visible on the page, and consistent with price, availability, variants, reviews, and brand facts.
Use this as a QA reference. Only emit fields that are visible or supported by the store data.
{
"@context": "https://schema.org",
"@type": "Product",
"name": "Ray-Ban Meta Travel Case",
"brand": {
"@type": "Brand",
"name": "Example Carry Co."
},
"image": [
"https://example.com/products/ray-ban-meta-travel-case.jpg"
],
"description": "A compact travel case for Ray-Ban Meta smart glasses with cable storage and charging accessory space.",
"sku": "SC-RBM-CASE-01",
"offers": {
"@type": "Offer",
"url": "https://example.com/products/ray-ban-meta-travel-case",
"priceCurrency": "USD",
"price": "49.00",
"availability": "https://schema.org/InStock",
"itemCondition": "https://schema.org/NewCondition"
}
}<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Product",
"name": {{ product.title | json }},
"brand": {
"@type": "Brand",
"name": {{ product.vendor | json }}
},
"image": [
{{ product.featured_image | image_url: width: 1200 | prepend: "https:" | json }}
],
"description": {{ product.description | strip_html | truncate: 500 | json }},
"sku": {{ product.selected_or_first_available_variant.sku | json }},
"offers": {
"@type": "Offer",
"url": {{ shop.url | append: product.url | json }},
"priceCurrency": {{ cart.currency.iso_code | json }},
"price": {{ product.selected_or_first_available_variant.price | money_without_currency | json }},
"availability": "https://schema.org/{% if product.available %}InStock{% else %}OutOfStock{% endif %}"
}
}
</script>AI and search systems compare structured data with visible page content. Mismatches create avoidable uncertainty.
Schema says InStock while the product page shows sold out.
Availability is generated from the selected variant and matches the buy box.
Product schema includes aggregateRating but no visible reviews exist.
Only emit aggregateRating when review count and rating are visible on the page.
Variant pages all emit the same SKU and price.
Selected variant data updates SKU, price, availability, and canonical URL consistently.
Run this after theme edits, review-app changes, product import changes, or major collection updates.
Product name, brand/vendor, canonical URL, image, description, and SKU should match visible product content.
Price, currency, availability, condition, and variant details should update correctly for the selected variant.
Ratings, reviews, return policy, warranty, and shipping facts should only be emitted when supported and visible.
Product FAQs and compatibility facts should be visible in copy, then supported with FAQPage or Product schema where appropriate.
Submit a store URL, brand name, competitors, and buyer queries. The preview runs a real crawl first, then prepares the audit evidence for a paid report.