AI agents are becoming a new audience for retail content. Amplience CTO John Williams argues that brands need strong SEO, structured data, semantic context and consistent content operations to earn inclusion in AI recommendations (RetailNews.ai). Answer engine optimisation (AEO) sits above Google's results, while generative engine optimisation (GEO) applies to ChatGPT, Claude, Perplexity and similar platforms (RetailNews.ai). Both rely on strong SEO foundations, structured data that proves product attributes, and semantic content that supplies the reasoning behind recommendations (RetailNews.ai).
The commercial opportunity lies in faster content operations and reduced returns. Amplience research found that content creation accounts for about a third of total supply-chain costs, with the rest spent on coordination, approvals, review, adaptation and localisation (RetailNews.ai). The returns bill alone was $890B in the US in 2024, and about a quarter traces back to inaccurate or insufficient product descriptions (RetailNews.ai). Speed to shelf determines how much of a product sells at full price; in fashion that window can be six weeks, and delays in content coordination directly reduce margin (RetailNews.ai).
The strategic shift is fundamental: campaigns must now target the AI agent as the primary audience before reaching the customer (RetailNews.ai). Consistent content signals across all channels increase the likelihood of inclusion in AI recommendations, while inconsistency causes those signals to dissipate (RetailNews.ai).