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 (Z60-Z63).
AI Visibility Checklist
Required Content
Size guide (bridge, width)
Lens options
Trust Signals
Lens & frame warranty
Virtual try-on
Expected UX Patterns
Virtual try-on via camera or photo upload with face detection
Face shape guide to recommend the ideal frame
Industry Benchmarks
Industry-Specific Audit Zones
Garantie verres et montures visible sur PDP (durΓ©e, casse, rayures)
Virtual try-on ou essai Γ domicile visible above-fold sur PDP
Options verres (progressifs, anti-reflet, transitions) clairement listΓ©es
RΓ©seau opticien ou prise de RDV accessible depuis la PDP ou header
Required Schema.org
"additionalProperty": [{"@type": "PropertyValue", "name": "Bridge Width", "value": "18", "unitText": "mm"}] "additionalProperty": [{"@type": "PropertyValue", "name": "UV Protection", "value": "UV400"}] FAQ
Is virtual try-on detected by AI agents?
How should I structure frame dimensions for AI?
Should UV protection be in schema.org?
Does an optician network impact GEO score?
What specific zones does Verity Score analyze for eyewear?
Related Industries
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