Appario reports are written for merchants, not only developers. These docs explain the technical concepts behind common findings, what you can usually do yourself, when to involve platform support or a developer, and how to verify the fix.
- ACP Manifest — What an ACP manifest is, why it matters, and what to send your developer or platform support.
- AI Crawler Access — How robots.txt affects AI systems that read your store.
- Image Alt Text — How image alt text supports accessibility and AI product understanding.
- Product Data — A general guide to the product fields AI shopping systems need.
- Product Descriptions — How product copy helps AI systems match products to shopper intent.
- Product Feeds — Why product feeds matter for AI shopping systems.
- Product Identifiers — What SKU, GTIN, MPN, barcode, and brand fields do for AI shopping readiness.
- Product Schema — How Product schema helps AI shopping systems understand what you sell.
- Seller Attribution — How AI systems understand who sells or fulfills a product.
- Shipping Data — Why shipping cost, region, and delivery timing matter for AI shopping readiness.
- Structured Data Consistency — Why visible product details and machine-readable product data need to match.
- Trust Signals — The policy and contact signals AI systems use to judge store reliability.
- UCP File — What a UCP file does and how to ask for help publishing it.
- Variant Data — How size, color, material, and option data affect AI product recommendations.