# GEO Audit for Food & Beverages

> AI checklist for food stores. Ingredients, allergens, quality labels (PDO, Organic), storage - ChatGPT and Perplexity visibility.

- Canonical HTML: https://verityscore.io/en/industries/food-beverages/
- Markdown alternate: https://verityscore.io/en/industries/food-beverages.md
- Language: en
- Industry id: food

Allergens, quality labels, traceability - AI verifies this data to protect consumers.

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.

## Required content

- Ingredients list (critical) : Z20
- Allergens (critical)
- Storage conditions (high)
- Nutrition facts (high)


## Expected trust signals

- Origin / terroir (high)
- Quality label (medium)


## Benchmarks

- Structured fields: 7
- AI-extractable claims: 10
- Trust signals in schema: 2
- Content gaps: 3


## Schema.org

- allergens: Allergènes. Fix: "additionalProperty": [{"@type": "PropertyValue", "name": "Allergens", "value": "Contains: Gluten, Nuts"}]


## Prompt zones

- none


## UX patterns

- portion_calculator: Portion calculator based on number of guests or nutritional profile


## 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 articles

- https://verityscore.io/en/kb/contenu-conversationnel/
- https://verityscore.io/en/kb/eeat-signaux-ia/