Fabric & fit schema
AI agents need machine-readable fabric composition and fit type data to answer "is this 100% cotton?" or "does this run true to size?" without guessing from a description.
Fashion shoppers ask AI "what should I wear to a garden party?" and "best sustainable denim brands" every day. Find out whether your brand is showing up in those answers.
Fashion and apparel shoppers are increasingly using AI as a personal stylist — asking ChatGPT for outfit ideas, asking Perplexity to recommend specific brands for a body type or occasion, and asking Gemini to compare fabric quality between brands. When a shopper asks "what are the best size-inclusive women's blazers under $150 for a business casual office?" the AI recommends brands whose product pages include structured size range data, fabric composition, fit type, and occasion tagging in machine-readable formats. Most fashion Shopify stores invest heavily in photography and copy but leave their AI-readability signals entirely unaddressed. Product descriptions use evocative language ("effortlessly chic," "elevate your wardrobe") without the explicit, structured attributes that AI agents need — fabric content in schema markup, fit descriptors (relaxed, tailored, oversized), size range with inclusive sizing flags, and occasion tagging. The result is that fashion shoppers who ask AI for style recommendations never encounter your brand, even when your products are exactly what they're looking for. This free check audits your entire storefront and gives you a specific fix plan to close that gap.
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AI agents need machine-readable fabric composition and fit type data to answer "is this 100% cotton?" or "does this run true to size?" without guessing from a description.
Explicit occasion tags ("business casual," "wedding guest," "athleisure") are how AI matches your products to the context-driven outfit questions shoppers ask every day.
Size range data in structured markup — including plus, petite, and tall options — is increasingly weighted by AI when shoppers ask for inclusive fashion recommendations.
Fashion shoppers increasingly ask AI tools for outfit and styling help — "what should I wear to a garden party?" or "best sustainable women's denim brands." AI recommends apparel stores whose product pages include structured size data, fabric composition, fit descriptions, and occasion tagging in machine-readable formats.
We examine product schema for fabric composition, size range, fit type, occasion, and care instructions; whether your product descriptions answer style and fit questions AI agents receive; and whether your sustainability credentials and size-inclusivity signals are readable by AI recommendation engines.
High-impact fixes: add Product JSON-LD with fabric, fit type, size range, occasion, and care attributes; write descriptions that answer "how does this fit?" and "what occasions is this for?"; create a llms.txt file; and unblock AI crawlers in robots.txt.
Yes, entirely free. Paste your fashion store URL and receive a 0–100 AI visibility score plus a ranked fix list in about a minute. No signup needed.