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GEO checklist for Shopify

GEO Checklist for Health & Medical Devices

AI agents verify medical certifications before recommending. Does your store expose the right data?

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AI X-ray · Health Demo example
class I lateral support

What engines can read

  • Therapeutic indications Partial
  • Usage protocol Read
  • CE medical marking Missing
  • Healthcare professional validation Partial
  • Free consultation Read

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

Health products and medical devices face strict regulatory requirements (CE marking, Class I/IIa/IIb/III classification, ISO 13485). AI agents - ChatGPT Shopping, Perplexity, Google AI Mode - only recommend a medical product if they can verify these certifications in structured data. A store that doesn't expose its medical classification in schema.org is invisible to these systems. This checklist covers the critical zones specific to your industry.

01 · The checklist

The data engines look for on a health product page

Excerpts from the sector checklist, ranked by weight: what blocks a recommendation when missing, then what reinforces trust. The full audit monitors 100+ signals.

Required content

Therapeutic indications High
Usage protocol Medium

Industry-specific audit zones

Indications thérapeutiques / pathologies ciblées visibles sur PDP

Certification dispositif médical (marquage CE, classe I/IIa/IIb, ISO 13485) visible HTML sur PDP

Validation par professionnel de santé visible sur PDP ou page catégorie

Offre de consultation, bilan gratuit ou démonstration visible près du bouton d’achat

Trust signals

CE medical marking Critical
Healthcare professional validation High
Free consultation Medium

Expected UX patterns

Dosage Calculator

Dosage calculator or personalized protocol based on user profile

Appointment Booking

Appointment booking for free consultation integrated into the product page

02 · Industry benchmarks

Reference values for a health 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.

Medical device class Example
"additionalProperty": [{"@type": "PropertyValue", "name": "Medical Device Class", "value": "Class IIa"}]
Therapy type Example
"additionalProperty": [{"@type": "PropertyValue", "name": "Therapy Type", "value": "PEMF - Pulsed Electromagnetic Field"}]
Indications Example
"additionalProperty": [{"@type": "PropertyValue", "name": "Indications", "value": "Joint pain, Muscle recovery, Rehabilitation"}]
Absorbency Example
"additionalProperty": [{"@type": "PropertyValue", "name": "Absorption Level", "value": "Medium to Heavy Flow"}]
Textile certification Example
"additionalProperty": [{"@type": "PropertyValue", "name": "Certification", "value": "OEKO-TEX Standard 100"}]
See how engines read your Health / Medical Devices store.
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05 · Frequent questions

Your questions about AI engines

Why is CE marking critical for AI visibility?

AI agents like ChatGPT Shopping verify regulatory certifications in structured data before recommending a medical device. Without CE marking visible in schema.org, your product is filtered from results.

How should I structure therapeutic indications for AI?

Use additionalProperty in your schema.org Product with the name 'Indications' and list targeted conditions. AI agents extract this data to answer specific queries like 'PEMF device for joint pain'.

Does healthcare professional validation improve GEO score?

Yes. A visible endorsement from a physiotherapist, osteopath, or physician is strong proof of expertise. Marked up and tied to the product, it becomes readable and verifiable by AI systems, which can use it in their confidence.

What specific zones does Verity Score analyze for health?

Verity Score analyzes 4 industry-specific zones: therapeutic indications, medical certification (critical if missing), expert validation and free consultation. Plus 39+ cross-industry zones.

My store sells intimate health products (period underwear). Do the same rules apply?

No, Verity Score automatically detects the 'intimate health / menstrual textile' sub-type and adapts the checklist: absorption level, textile composition, OEKO-TEX/GOTS certification, and size guide replace medical device zones.

Is the EUDAMED database becoming a verifiable trust signal in 2026?

Yes. Since May 28, 2026, the first four EUDAMED modules (actor registration, UDI/device registration, notified bodies, market surveillance) are mandatory : any MDR/IVDR medical device placed on the EU market on or after that date must be registered beforehand. Expose your UDI identifier and CE marking in HTML and schema.org (additionalProperty) : it's a compliance proof AI agents can verify before recommending.

How do I carry my regulatory notices into the ChatGPT product feed?

The OpenAI product feed spec (Agentic Commerce developer docs, consulted August 13, 2026) has dedicated fields : warning and warning_url for disclaimers and cautions, age_restriction for minimum purchase age, and q_and_a for question/answer pairs (indications, contraindications). Two required fields control your exposure : is_eligible_search (the product appears in ChatGPT search) and is_eligible_checkout (in-conversation purchase). For a medical device, populate warning_url pointing to your instructions for use before enabling checkout.

Get your Health / Medical Devices store audited

The Shopify app is available. It monitors 100+ signals across 39+ zones, produces an initial diagnostic in about 60 seconds, and prioritizes fixes for approval.

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