Product pages are now central to AI-driven commerce

Oscar Nogueras has published a book on the role of product pages in online retail. It argues that product information now sits at the centre of AI-driven commerce.

Product Pages Are Eating Ecommerce examines how product detail pages have expanded beyond retailers' own websites into search engines, marketplaces, shopping feeds, comparison services, recommendation systems and AI assistants.

Nogueras, Chief Executive Officer of Ontranslation, argues that businesses are no longer managing a single destination page for shoppers. Instead, they must manage how product information is interpreted across a wider commercial network, where consumers may discover, compare and select goods without visiting the original retailer site.

This shift is one of the book's main themes. Product pages, once largely a mix of images, specifications, descriptions, prices and a purchase option, now also serve as a source of structured information for external platforms and automated systems.

"The product page began as a digital catalogue entry," said Oscar Nogueras, Chief Executive Officer of Ontranslation. "It then became a search page, a marketplace asset, a trust surface and a machine-readable source. It is now becoming part of the infrastructure of agentic commerce."

Product Truth

A central concept in the book is what Nogueras calls Product Truth. He describes it as a governed foundation that defines what a business knows about a product, what it can claim about it and how the information should be adapted for different channels, markets and audiences before content is generated.

The framework covers core questions such as what a product is, what it does, who it suits, what evidence supports its stated benefits, where its limits lie and which claims are permitted. The book argues that this source material is not meant to be the final customer-facing description. Instead, it serves as a common reference point from which different forms of product content can be created.

These may include a Shopify page, an Amazon listing, a Google Shopping feed, advertising copy or a version tailored for another country. Nogueras argues that they should vary in structure and emphasis while remaining anchored to the same verified facts.

AI content risks

The book also examines the effect of generative AI on eCommerce content operations. Retailers can now produce and adapt product copy across large catalogues more quickly, but Nogueras argues that speed does not remove the need for control over source data and review processes.

He contends that AI-generated text can read smoothly while still including unsupported benefits, vague positioning or information that does not answer customers' likely questions. In this view, output quality depends less on the tool itself than on the product information and editorial rules used to guide it.

"AI can generate content at scale, but it still needs a system worth scaling," said Nogueras. "Product Truth comes first. The brief turns it into instructions, AI transforms it and specialists judge the result."

The workflow outlined in the book combines four elements: Product Truth, a strategic brief, AI-assisted content transformation and specialist review. Human oversight remains part of the process in areas including context, risk, brand voice, search intent, cultural differences and platform-specific requirements.

Wider shift

Nogueras also traces the longer evolution of product selling, from in-person sales and printed catalogues to television demonstrations, Amazon, search engines, online reviews, cross-border eCommerce and AI-assisted shopping. In his account, the product page has gradually shifted from a static listing to a system that informs decisions across many touchpoints.

This matters because eCommerce discovery has become more fragmented. Product information can now appear in a search result, marketplace listing, feed, recommendation widget or AI-generated answer, each shaping purchase decisions in different ways. For brands and retailers, that creates pressure to maintain consistency while adapting the same underlying product data to multiple formats.

For localisation specialists, the argument also links product information to international commerce. Content for one market may need to be reworked for another not only in language but also in structure, emphasis and claims, particularly where consumer expectations and platform rules differ.

Ontranslation provides translation, localisation and transcreation services, and Nogueras positions the book at the intersection of eCommerce content, governance and AI use. Its core proposition is that as digital shopping spreads across more machine-mediated environments, the underlying product record becomes more important than the page on which it first appears.

The book is available in paperback and on Kindle.