How does AI see your Magento store?

Adobe Commerce (formerly Magento) is one of the most powerful e-commerce platforms, used by mid-market and enterprise brands worldwide. Its attribute system can store hundreds of product properties — but very few of them make it into structured data by default.

The most common AI readability issue on Magento stores is sparse Product schema. Magento's core module outputs name, image, and a basic Offer — but materials, certifications, size guides, and selling points stored in product attributes are invisible to AI engines.

Configurable products compound the problem. Magento's default schema emits a price range ('From $49') rather than individual variant prices. When ChatGPT or Gemini tells a shopper the product 'starts at $49,' it undermines trust and may lose the sale to a competitor whose schema shows the exact price.

Multi-store and multi-language deployments are another challenge. The same product on different store views can have different prices, descriptions, and currencies — and without proper canonical/hreflang tags, AI engines can serve the wrong version.

Beseam audits your Magento store from the AI engine's perspective, identifies exactly which attributes and schema are missing, and generates the PHP and template fixes for your specific Magento version and theme.