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Yu points to an example of how a search for a Christmas dress returns an AI-generated list of common questions others are asking relating to Christmas dresses, a product grid of Christmas dresses that mimics Amazon and a separate search panel for its “ask me anything” AI mode. “Google is doing a really good job of getting the consumer to almost naturally engage with AI without realising it,” Yu adds. Proponents of these AI tools for shopping say that by mimicking a personal shopping agent, AI models will help match consumers with their desired products faster and more accurately, leading to increased conversion and reduced returns. Early data suggests that consumers’ use of AI search for shopping is particularly motivated by finding the best deal — of the 64% of consumers Shopify surveyed who said they’d use AI for at least one task this holiday season, 29% said they’d use it for deal finding, and 20% for inspiration and product discovery. As Black Friday weekend is primarily deals-motivated, this could mean AI has a significant impact on overall sales, if the models match consumers with the cheaper results they’re after faster than traditional search.Officials Llama Just Killed A Man Funny Shirt
Experts are advising brands to incorporate longer and more detailed product descriptions within their own channels to have more of a chance of being picked up by AI search. More information on fabric composition, provenance, sizing and FAQ-style content that suggests when and where you may wear a garment are all details that lend themselves to the more conversational queries consumers are asking of AI search. Updating these regularly means brands can keep up with seasonal searches by suggesting, for example, how a garment can be worn for a holiday party. “We’re […] thinking less about brevity and more about context, clarity, and depth. In some cases, less is no longer more.” “It’s funny — FAQs had kind of fallen out of favor in traditional SEO, but with agentic search, the idea of preemptively answering customer questions is suddenly more relevant than ever,” says Graham Mcculloch, director of e-commerce and performance marketing at AG Jeans. “We’re revisiting that format, but with a modern lens — thinking less about brevity and more about context, clarity, and depth. In some cases, less is no longer more,” Mcculloch adds, stressing that the brand is updating its PDP content and reimagining its site’s schema and structure much more regularly to keep up with the rapid changes in AI search. Commerce-focused AI updates are still so nascent that brands have very little data to analyse how their early AI optimisation efforts may have been affecting sales so far, but Google’s Neary says that the next few weeks of holiday shopping will give brands their first actionable dataset.
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