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The traditional era of Search Engine Optimisation is being superseded by a new landscape of AI discovery, where customers use conversational agents rather than keyword searches. Instead of scrolling through lists of links, modern shoppers rely on tools like ChatGPT and Perplexity to synthesise information and provide direct product recommendations. This shift demands a move away from poetic marketing copy towards structured data that explicitly defines a product’s specifications, materials, and specific use cases. Merchants who continue to prioritise old algorithms risk becoming invisible, as AI agents require clear, verifiable facts to match products with complex user queries. Adapting to this change involves auditing digital catalogues to ensure they are optimised for AI comprehension rather than just human browsing. Ultimately, the future of e-commerce growth belongs to those who provide the precise information necessary for artificial intelligence to act as a digital personal shopper.
By AgenticLensThe traditional era of Search Engine Optimisation is being superseded by a new landscape of AI discovery, where customers use conversational agents rather than keyword searches. Instead of scrolling through lists of links, modern shoppers rely on tools like ChatGPT and Perplexity to synthesise information and provide direct product recommendations. This shift demands a move away from poetic marketing copy towards structured data that explicitly defines a product’s specifications, materials, and specific use cases. Merchants who continue to prioritise old algorithms risk becoming invisible, as AI agents require clear, verifiable facts to match products with complex user queries. Adapting to this change involves auditing digital catalogues to ensure they are optimised for AI comprehension rather than just human browsing. Ultimately, the future of e-commerce growth belongs to those who provide the precise information necessary for artificial intelligence to act as a digital personal shopper.