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GEO checklist for Shopify

GEO Checklist for Supplements & Nutrition

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

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AI X-ray · Supplement Demo example
300 mg / serving bisglycinate

What engines can read

  • Active ingredients Missing
  • Dosage Partial
  • Contraindications Partial
  • Lab tested Partial
  • Nutritionist recommended Read

A typical sector example: no store is analyzed on this page.

The supplements market is one of the most scrutinized by AI agents. ChatGPT Shopping and Perplexity seek to 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.

01 · The checklist

The data engines look for on a supplement product page

Excerpts from the sector checklist, ranked by weight: what blocks a recommendation when missing, then what reinforces trust. The full audit covers 149 checks.

Required content

Active ingredients Critical
Dosage High
Contraindications High

Trust signals

Lab tested High
Nutritionist recommended Medium

Expected UX patterns

Dosage Calculator

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

02 · Industry benchmarks

Reference values for a supplement page

Internal reference values
8
structured fields
product data exposed in a machine-readable format
0reference12
12
AI-extractable claims
verifiable statements taken verbatim from the page's visible text (efficacy, tests, certification, origin, warranty), excluding technical specs
0reference12
3
trust signals in schema.org
proof (reviews, certifications, policies) marked up in schema.org
0reference12
lower = better
4
buyer questions out of 10 without a clear answer
out of the 10 most likely buyer questions for a product, those left without a clear answer on the page
0reference10

Per-sector reference targets defined by Verity Score, not measured on a sample of stores.

03 · Required schema.org

The markup engines can read

Copy the structure and adapt the values to your pages.

Dosage Example
"additionalProperty": [{"@type": "PropertyValue", "name": "Dosage", "value": "500", "unitText": "mg"}]
Dosage form Example
"additionalProperty": [{"@type": "PropertyValue", "name": "Form", "value": "Capsules"}]
See how engines read your Supplements store.
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04 · What leaders do

What the best-structured supplement brands do

Detailed composition with dosage per active ingredient

Clear delivery time in the schema

Return policy extractable from the JSON-LD

Customer reviews with schema.org markup

Complete Product schema with additionalProperty (dosage)

05 · Frequent questions

Your questions about AI engines

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. Cautious AI systems look for 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 major proof of expertise. Marked up, it is expert validation AI systems can read and verify.

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. Since August 2, 2026, Article 50 of the EU AI Act (Regulation (EU) 2024/1689) additionally requires clearly disclosing to users that they are interacting with an AI. Never allow a chatbot to recommend dosages or diagnose conditions : restrict it to verified product information only.

Get your Supplements store audited

The Shopify app is in private beta. It analyzes your Supplements store across 149 checks in 39+ zones, in 60 seconds, and gives you the fixes to make.

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