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/Β΅g in schema.org Product (via additionalProperty) is structurally disadvantaged against a competitor that does. This checklist guides you through your industry's critical zones.
AI Visibility Checklist
Required Content
Active ingredients
Dosage
Contraindications
Trust Signals
Lab tested
Nutritionist recommended
Expected UX Patterns
Personalized dosage calculator based on profile (weight, age, goal)
Industry Benchmarks
Competitive IndustryRequired Schema.org
"additionalProperty": [{"@type": "PropertyValue", "name": "Dosage", "value": "500", "unitText": "mg"}] "additionalProperty": [{"@type": "PropertyValue", "name": "Form", "value": "Capsules"}] What Industry Leaders Do
Composition dΓ©taillΓ©e avec dosages par ingrΓ©dient actif
DΓ©lai livraison clair dans le schema
Politique retours extractible dans le JSON-LD
Avis clients avec balisage schema.org
Schema Product complet avec additionalProperty (dosage)
FAQ
How do I expose dosage in structured data?
Are contraindications verified by AI?
What impact does a nutritionist recommendation have?
What industry benchmarks does Verity Score use?
Should the galenic form (capsules, powder, liquid) be in the schema?
Related Industries
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