The food industry has strict legal obligations on allergens and composition. AI agents never recommend a food product without being able to verify allergens in structured data. Quality labels (PDO, PGI, Organic) are strong trust signals, but only if exposed in schema.org. This guide covers industry specifics, including wine and spirits.
AI Visibility Checklist
Required Content
Critical
Ingredients list
Critical
Allergens
High
Storage conditions
High
Nutrition facts
Trust Signals
High
Origin / terroir
Medium
Quality label
Expected UX Patterns
Portion Calculator
Portion calculator based on number of guests or nutritional profile
Industry Benchmarks
7
Structured Fields
industry average
10
AI-Extractable Claims
industry average
2
Trust Signals
average in schema.org
3
Content Gaps
lower = better
Required Schema.org
Allergènes
"additionalProperty": [{"@type": "PropertyValue", "name": "Allergens", "value": "Contains: Gluten, Nuts"}]FAQ
Should allergens be in schema.org?
Yes. Add additionalProperty name='Allergens' value='Contains: Gluten, Nuts'. AI agents filter products by allergens to protect consumers - it's an EU legal obligation and an AI requirement.
How do I expose quality labels (PDO, Organic)?
Use visible HTML trust signals + additionalProperty in schema for each label. AI detects PDO, PGI, Organic certifications as quality signals.
Are terroir and origin important for AI?
Yes. Origin is a major trust signal in food. AI agents extract this data for geo-located queries like 'PDO Provence olive oil' or 'Bordeaux wine'.
What are the food industry benchmarks?
The food industry averages 7 structured fields, 10 AI-extractable claims, 2 trust signals in schema, and 3 content gaps. Most common gaps: missing allergens, unspecified storage conditions.
Do wine and spirits have specific requirements?
Yes. AI agents verify grape variety, vintage, appellation, and tasting notes. Expose this data in additionalProperty to be recommended for queries like 'Bordeaux red wine 2020'.
Related Industries
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