Shopify product feed XML format:
structure, fields, and AI compatibility

Shopify's native product feed: /products.json

Every public Shopify store exposes a JSON endpoint at https://yourstore.com/products.json. This is the starting point for any product feed work. By default it returns up to 250 products per page, paginated via ?page=2 or cursor-based ?limit=250&since_id= for large catalogs.

Sample /products.json response structure

{
  "products": [
    {
      "id": 7891234567890,
      "title": "Merino Wool Crew Neck Sweater",
      "body_html": "<p>100% merino wool...</p>",
      "vendor": "Patagonia",
      "product_type": "Sweater",
      "handle": "merino-wool-crew-neck-sweater",
      "status": "active",
      "tags": "merino,wool,sustainable,sweater",
      "variants": [
        {
          "id": 4321098765432,
          "title": "S / Navy",
          "price": "129.00",
          "compare_at_price": "159.00",
          "sku": "MW-CREW-S-NAV",
          "barcode": "0123456789012",
          "inventory_quantity": 14,
          "inventory_policy": "deny",
          "fulfillment_service": "manual",
          "requires_shipping": true,
          "weight": 0.45,
          "weight_unit": "kg"
        }
      ],
      "images": [
        {
          "id": 1122334455667,
          "src": "https://cdn.shopify.com/s/files/.../merino-crew-navy.jpg",
          "alt": "Merino Wool Crew Neck Sweater in Navy",
          "width": 1200,
          "height": 1200
        }
      ],
      "options": [
        { "name": "Size", "values": ["XS","S","M","L","XL"] },
        { "name": "Color", "values": ["Navy","Forest Green","Charcoal"] }
      ]
    }
  ]
}

Mapping /products.json to Google Shopping XML

Google Merchant Center expects an XML feed using the Google Content API schema with the g: namespace. The mapping from Shopify's JSON to Google's XML attributes is mostly straightforward but requires several transformations:

Minimal valid Google Shopping XML feed structure

<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:g="http://base.google.com/ns/1.0">
  <channel>
    <title>My Shopify Store</title>
    <link>https://mystore.com</link>
    <description>Product feed for Google Merchant Center</description>
    <item>
      <g:id>MW-CREW-S-NAV</g:id>
      <g:title>Merino Wool Crew Neck Sweater - S / Navy</g:title>
      <g:description>100% merino wool crew neck sweater...</g:description>
      <g:link>https://mystore.com/products/merino-wool-crew-neck-sweater?variant=4321098765432</g:link>
      <g:image_link>https://cdn.shopify.com/s/files/.../merino-crew-navy.jpg</g:image_link>
      <g:price>129.00 USD</g:price>
      <g:sale_price>129.00 USD</g:sale_price>
      <g:availability>in_stock</g:availability>
      <g:condition>new</g:condition>
      <g:brand>Patagonia</g:brand>
      <g:gtin>0123456789012</g:gtin>
      <g:product_type>Apparel &amp; Accessories > Clothing > Sweaters</g:product_type>
    </item>
  </channel>
</rss>

How to generate an XML feed from Shopify

Shopify does not provide XML feed generation built-in. Three paths exist depending on your plan and technical resources:

Option 1: Google & YouTube sales channel app (free, recommended)

Install the Google & YouTube channel from the Shopify App Store. It automatically syncs your Shopify catalog to Google Merchant Center in the correct format, handles variant flattening, price currency formatting, and availability mapping. Updates on a 24-hour sync cadence. No XML file to manage manually — GMC pulls from a Google-owned feed endpoint Shopify writes to directly.

Option 2: Third-party feed app

Apps like Simprosys Google Shopping Feed, DataFeedWatch, or GoDataFeed generate XML (and CSV, TSV) feeds compatible with Google, Meta, TikTok, Pinterest, and Microsoft. They offer field mapping UIs, custom rules, and scheduled refresh. Best for stores needing feeds for multiple channels or fine-grained attribute control.

Option 3: Custom Liquid XML template

Create a custom page template (or app proxy) in Shopify that outputs XML. This approach requires development work but gives full control over field mapping, custom metafields inclusion, and variant handling logic. The template uses application/xml content type and loops through all products and variants:

{% comment %}Shopify XML feed page template{% endcomment %}
{% layout none %}
{{ "Content-Type: application/xml" | header }}
<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:g="http://base.google.com/ns/1.0">
<channel>
{% paginate collections.all.products by 250 %}
{% for product in collections.all.products %}
{% for variant in product.variants %}
  <item>
    <g:id>{{ variant.sku | escape }}</g:id>
    <g:title>{{ product.title | escape }}{% unless variant.title == 'Default Title' %} - {{ variant.title | escape }}{% endunless %}</g:title>
    <g:price>{{ variant.price | money_without_currency }} {{ cart.currency.iso_code }}</g:price>
    <g:availability>{% if variant.available %}in_stock{% else %}out_of_stock{% endif %}</g:availability>
    <g:condition>new</g:condition>
    <g:link>{{ shop.url }}{{ product.url }}?variant={{ variant.id }}</g:link>
    <g:image_link>{{ product.featured_image | img_url: 'master' | prepend: 'https:' }}</g:image_link>
    <g:brand>{{ product.vendor | escape }}</g:brand>
    {% if variant.barcode != blank %}<g:gtin>{{ variant.barcode }}</g:gtin>{% endif %}
  </item>
{% endfor %}
{% endfor %}
{% endpaginate %}
</channel>
</rss>

How AI shopping agents use product feed data

There are two distinct AI agent data pipelines. Understanding which one your store uses determines what to optimize:

Critical XML feed fields that affect AI agent visibility

For Google AI Mode specifically, certain feed attributes have outsized impact on whether your products surface in AI-generated shopping answers:

• GTIN / barcode — Products with GTINs are matched against Google's global product knowledge graph. AI Mode uses this graph to answer "best [product]" queries with confidence. Products without GTINs are indexed but ranked lower in AI-curated recommendations.
• Detailed descriptions — AI Mode reads g:description to understand use cases, materials, and audience fit. Thin descriptions ("Great product!") reduce the product's relevance surface. Aim for 150–300 words covering materials, dimensions, use cases, and compatibility.
• Product type taxonomy — Map to Google's product taxonomy precisely. Apparel & Accessories > Clothing > Sweaters is more useful than just Clothing. Specific taxonomy improves AI agent category matching.
• Additional images (g:additional_image_link) — Multiple product images improve AI agent confidence in answering visual queries ("show me a navy blue sweater under $150").
• Size and color attributes — g:color and g:size are required for apparel and footwear in Google's taxonomy and are used by AI Mode to filter results for size/color-specific queries.

Feed freshness and AI agent update cadence

AI agents and merchant platforms re-crawl feeds on different schedules. Price and availability errors from stale feeds are the most common cause of AI-surfaced product misinformation:

For price-sensitive products (flash sales, limited-time offers), use the Google Content API's supplemental feed or real-time updates rather than relying on daily XML fetch — it allows price updates within minutes rather than days.

Run a CatalogScan check to verify your store's /products.json is accessible, variant-complete, and that on-page JSON-LD is present for direct AI agent discovery alongside your XML feed pipeline.

Related: Shopify product feed for Google · Shopify product feed API · Structured data validation errors