Saleor AI Audit
How does AI see your Saleor storefront?
Saleor's headless architecture means zero structured data unless your frontend builds it. AI engines can't see your products. Beseam shows what's missing and gives you the code.
Paste one public product page · No app install · Free scan
Saleor & AI readability: what you need to know
Saleor is an open-source, headless e-commerce platform built with Python (Django) and GraphQL. It's gained significant traction among developers building custom storefronts with React, Next.js, and other modern frameworks.
The fundamental AI readability challenge with Saleor is inherent to headless commerce: since Saleor provides only an API (no storefront), structured data is entirely the frontend developer's responsibility. If your storefront doesn't generate JSON-LD, AI engines see nothing.
Saleor's GraphQL API is actually well-suited for building rich structured data — it exposes detailed product attributes, variant pricing, collection hierarchies, and media. The problem is that most frontend implementations focus on visual rendering and overlook schema generation.
The multi-channel architecture adds another layer of complexity. Saleor manages different pricing, currencies, and availability per channel, and your structured data must reflect the correct channel's data — not just the default or first channel.
Beseam audits your Saleor storefront from the perspective of 13 AI engines, identifies what's missing from your client-side rendered pages, and provides ready-to-use TypeScript utility functions that map Saleor's GraphQL schema to Product JSON-LD.
Example findings we often see on Saleor
Click any finding to see the type of fix.
Scan one Saleor product page now
Start with a single PDP and see whether AI shopping surfaces can actually understand it.