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GEO checklist for Shopify

GEO Checklist for Eyewear & Optical

Warranty, virtual try-on, lens options - AI agents verify this data before recommending.

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AI X-ray · Eyewear Demo example
screen filter acetate

What engines can read

  • Size guide (bridge, width) Partial
  • Lens options Partial
  • Lens & frame warranty Partial
  • Virtual try-on Read

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

Online eyewear faces a unique challenge: convincing a buyer (and an AI agent) that glasses can be purchased without physically trying them on. AI agents verify the presence of virtual try-on, lens and frame warranty, and prescription lens options before recommending. Structured data must include bridge width, UV protection, and customization options. Verity Score analyzes 4 industry-specific zones.

01 · The checklist

The data engines look for on a eyewear 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

Size guide (bridge, width) High
Lens options High

Industry-specific audit zones

Garantie verres et montures visible sur PDP (durée, casse, rayures)

Virtual try-on ou essai à domicile visible above-fold sur PDP

Options verres (progressifs, anti-reflet, transitions) clairement listées

Réseau opticien ou prise de RDV accessible depuis la PDP ou header

Trust signals

Lens & frame warranty High
Virtual try-on Medium

Expected UX patterns

Virtual Try-On

Virtual try-on via camera or photo upload with face detection

Face Shape Guide

Face shape guide to recommend the ideal frame

02 · Industry benchmarks

Reference values for a eyewear page

Internal reference values
8
structured fields
product data exposed in a machine-readable format
0reference12
7
AI-extractable claims
verifiable statements taken verbatim from the page's visible text (efficacy, tests, certification, origin, warranty), excluding technical specs
0reference12
2
trust signals in schema.org
proof (reviews, certifications, policies) marked up in schema.org
0reference12
lower = better
3
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.

Bridge width Example
"additionalProperty": [{"@type": "PropertyValue", "name": "Bridge Width", "value": "18", "unitText": "mm"}]
UV protection Example
"additionalProperty": [{"@type": "PropertyValue", "name": "UV Protection", "value": "UV400"}]
See how engines read your Eyewear / Optical store.
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05 · Frequent questions

Your questions about AI engines

Is virtual try-on detected by AI agents?

Yes. AI agents detect virtual try-on presence and value it as a strong trust signal. It's a major differentiator for AI recommendation in eyewear.

How should I structure frame dimensions for AI?

Use additionalProperty with name='Bridge Width' value='18' unitText='mm'. AI agents use this data to match recommendations with morphological preferences.

Should UV protection be in schema.org?

Yes. Add additionalProperty name='UV Protection' value='UV400'. It's a key filtering criterion for AI agents, especially for sunglasses.

Does an optician network impact GEO score?

Yes. The audit evaluates optician network presence or appointment booking availability. It's a strong trust signal for both AI and buyers.

What specific zones does Verity Score analyze for eyewear?

lens and frame warranty, virtual try-on, prescription lens options and optician network. Plus 39+ cross-industry zones.

Get your Eyewear / Optical store audited

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

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