Shopify Age Verification Structured Data for AI Shopping Agents

How AI Agents Handle Age-Restricted Products

AI shopping agents are increasingly cautious about age-restricted categories. Without explicit structured data signals, they face a binary choice: recommend the product and risk surfacing it to a minor, or skip it entirely to avoid compliance risk. Most choose the latter — which means your alcohol, tobacco, or vaping products simply don't appear in AI agent recommendations, even for clearly adult queries.

With correct age restriction markup, the agent can:

1. Identify the product as age-restricted
2. Know the specific minimum age threshold
3. Include the product in adult-context recommendations with an appropriate disclaimer
4. Surface the product confidently in direct adult queries ("best whiskey under $50", "gift ideas for a cigar smoker")

Core JSON-LD Pattern: audience + additionalProperty

Use both the audience property (the schema.org standard) and additionalProperty (broader AI agent coverage). They serve different agent parsing paths:

Full alcohol product example (US — 21+ minimum age)

{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Barrel-Aged Single Malt Whiskey — 12 Year",
  "audience": {
    "@type": "PeopleAudience",
    "requiredMinAge": 21
  },
  "additionalProperty": [
    {
      "@type": "PropertyValue",
      "propertyID": "ageRestrictionType",
      "name": "Age Restriction",
      "value": "Alcohol"
    },
    {
      "@type": "PropertyValue",
      "propertyID": "ageRequirement",
      "name": "Minimum Purchase Age",
      "value": "21 (United States)"
    },
    {
      "@type": "PropertyValue",
      "propertyID": "alcoholByVolume",
      "name": "Alcohol by Volume",
      "value": "46%"
    }
  ],
  "offers": {
    "@type": "Offer",
    "price": "89.00",
    "priceCurrency": "USD",
    "availability": "https://schema.org/InStock"
  }
}

UK wine product (18+ minimum age)

{
  "@type": "Product",
  "name": "Tuscan Sangiovese IGT 2023",
  "audience": {
    "@type": "PeopleAudience",
    "requiredMinAge": 18
  },
  "additionalProperty": [
    {
      "@type": "PropertyValue",
      "propertyID": "ageRestrictionType",
      "value": "Alcohol"
    },
    {
      "@type": "PropertyValue",
      "propertyID": "ageRequirement",
      "value": "18 (United Kingdom)"
    },
    {
      "@type": "PropertyValue",
      "propertyID": "alcoholByVolume",
      "value": "13.5%"
    }
  ]
}

Minimum Age by Jurisdiction and Category

Age requirements vary by country and product type. Encode the jurisdiction-specific minimum age for your primary market, and add a jurisdiction qualifier in the ageRequirement value:

For multi-market stores, list the most restrictive jurisdiction's age in the requiredMinAge field and explain both in the ageRequirement additionalProperty value string.

ageRestrictionType Values

Use consistent ageRestrictionType values in your additionalProperty for AI agent category classification:

Shopify Liquid Implementation

Gate the age restriction block with a Shopify product tag. Tag all age-restricted products with a category-specific tag (e.g., age-restricted:alcohol, age-restricted:tobacco) in Shopify Admin:

{% assign min_age = 0 %}
{% assign restriction_type = "" %}

{% if product.tags contains "age-restricted:alcohol" %}
  {% assign min_age = 21 %}
  {% assign restriction_type = "Alcohol" %}
{% elsif product.tags contains "age-restricted:tobacco" %}
  {% assign min_age = 21 %}
  {% assign restriction_type = "Tobacco" %}
{% elsif product.tags contains "age-restricted:vaping" %}
  {% assign min_age = 21 %}
  {% assign restriction_type = "NicotineVaping" %}
{% endif %}

{% if min_age > 0 %}
"audience": {
  "@type": "PeopleAudience",
  "requiredMinAge": {{ min_age }}
},
"additionalProperty": [
  {
    "@type": "PropertyValue",
    "propertyID": "ageRestrictionType",
    "name": "Age Restriction",
    "value": {{ restriction_type | json }}
  },
  {
    "@type": "PropertyValue",
    "propertyID": "ageRequirement",
    "name": "Minimum Purchase Age",
    "value": {{ min_age | append: " (United States)" | json }}
  }
],
{% endif %}

ABV and Nicotine Content Signals

For alcohol products, also declare the ABV (Alcohol by Volume) as a structured signal. AI agents use this for queries like "low-alcohol wine under 10% ABV" or "full-proof bourbon over 50% ABV":

{
  "@type": "PropertyValue",
  "propertyID": "alcoholByVolume",
  "name": "Alcohol by Volume",
  "value": "43%"
}

{
  "@type": "PropertyValue",
  "propertyID": "nicotineContent",
  "name": "Nicotine Strength",
  "value": "3mg/mL"
}

Age Verification Schema Checklist

1. Tag all age-restricted products in Shopify Admin with a consistent category tag (age-restricted:alcohol, age-restricted:tobacco, etc.)
2. Add audience.requiredMinAge to your Product JSON-LD for all tagged products
3. Add additionalProperty with ageRestrictionType for AI agent category classification
4. Add additionalProperty with ageRequirement specifying the numeric age and jurisdiction
5. For alcohol products, add alcoholByVolume as a separate additionalProperty
6. For nicotine products, add nicotineContent as a separate additionalProperty
7. Use the most restrictive jurisdiction's minimum age if selling internationally
8. Validate JSON-LD using Google's Rich Results Test after template changes
9. Ensure your Shopify age verification app (e.g., AgeChecker.Net, Bouncer) is active and covers the checkout path

Related Resources

• Product Safety Certifications Schema — CE, UL, FDA, CPSC, and organic certification patterns.
• Shopify Schema Markup Guide — full JSON-LD implementation guide for Product and Offer blocks.
• Ecommerce Product Condition Structured Data — OfferItemCondition patterns including refurbished and used goods.
• AI Shopping Agent Product Ranking Factors — full 18-signal model including compliance and audience signals.

Frequently Asked Questions

Audit Age Restriction Markup Across Your Catalog

CatalogScan scans your product catalog for missing age restriction signals, incorrect minimum age values, and compliance markup gaps — then shows exactly which regulated products are being skipped by AI agents due to missing structured data.