Agentic commerce — AI agents that search, compare and even pay on a shopper’s behalf — is starting to show up in real sales. Naver, Korea’s largest search platform, says transaction value through its shopping AI agent has grown 82% since the agent launched in June, and conversations rose 60% as of September. Naver is now piloting delivery-date recommendations and in-agent payments. Google Cloud calls this shift the “Invisible Shelf”, where buying decisions happen out of the shopper’s sight, and OpenAI has launched Instant Checkout inside chat.
Stores used to compete for the top of search results and ad slots. AI shopping agents instead pick a handful of products — or go straight to checkout. To make that shortlist, a product has to be readable, understandable and trustworthy to an AI.
Skip vague copy like “a great lightweight jacket.” Write “320g, water-resistant, spring/fall outdoor jacket,” with material, size, weight and use case as discrete values. Agents match shopper constraints against attributes one by one.
Agents explain their picks. Spell out who the product is for — “for long-distance runners who prioritize cushioning” — so it matches the queries it should win.
Review quality and freshness matter more than volume. Monitor third-party reviews and community mentions, publish clear return and exchange policies, and keep what’s said about you elsewhere consistent with your actual product data.
It’s shopping where an AI agent searches, compares and can complete checkout for the shopper. Examples include Naver’s shopping AI agent and OpenAI’s Instant Checkout.
Transaction value through the agent is up 82% since its June launch, and conversations were up 60% as of September.
Structure the attributes of best-selling products as discrete values and make sure the product feed matches the product page.
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