# GEO Audit for Supplements & Nutrition

> AI checklist for supplement stores. Composition, dosage, contraindications - make your products recommendable by ChatGPT and Perplexity.

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

AI agents verify composition, dosage, and scientific evidence. Are your structured data up to the standard?

The supplements market is one of the most scrutinized by AI agents. ChatGPT Shopping and Perplexity systematically verify composition, per-active-ingredient dosage, and contraindications before recommending a product. A store that doesn't expose its dosages in mg/µg in schema.org Product (via additionalProperty) is structurally disadvantaged against a competitor that does. This checklist guides you through your industry's critical zones.

## Required content

- Active ingredients (critical) : Z20
- Dosage (high)
- Contraindications (high)


## Expected trust signals

- Lab tested (high)
- Nutritionist recommended (medium)


## Benchmarks

- Structured fields: 8
- AI-extractable claims: 12
- Trust signals in schema: 3
- Content gaps: 4


## Schema.org

- dosage: Dosage. Fix: "additionalProperty": [{"@type": "PropertyValue", "name": "Dosage", "value": "500", "unitText": "mg"}]
- form: Forme galénique. Fix: "additionalProperty": [{"@type": "PropertyValue", "name": "Form", "value": "Capsules"}]


## Prompt zones

- none


## UX patterns

- dosage_calculator: Personalized dosage calculator based on profile (weight, age, goal)


## FAQ

### How do I expose dosage in structured data?

Add an additionalProperty of type PropertyValue with name='Dosage', value='500' and unitText='mg' in your schema.org Product. AI agents extract this data to compare products.

### Are contraindications verified by AI?

Yes. Responsible AI agents filter out products without visible contraindications, especially for pregnant/breastfeeding women and drug interactions. Expose them in both content and schema.

### What impact does a nutritionist recommendation have?

An endorsement from a nutritionist or dietitian is a major E-E-A-T signal. AI systems detect it as expert validation and increase recommendation confidence score.

### What industry benchmarks does Verity Score use?

The supplements industry averages 8 structured fields, 12 AI-extractable claims, 3 trust signals in schema, and 4 content gaps. Your audit compares your store against these benchmarks.

### Should the galenic form (capsules, powder, liquid) be in the schema?

Yes. Add an additionalProperty with name='Form' and value='Capsules' (or 'Powder', 'Liquid', 'Gummies'). AI agents use this data to filter results based on user preferences.

### Do health-advice chatbots create merchant liability in 2026?

Yes. The Moffatt v. Air Canada (2024) ruling established full merchant liability for chatbot-provided information. New York Senate Bill S7263 (February 2026) creates explicit civil liability for chatbot health advice. Never allow a chatbot to recommend dosages or diagnose conditions : restrict it to verified product information only.


## Related articles

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