Before a shopper ever reaches a retailer, an artificial intelligence assistant may have already narrowed the field to three options. Making that shortlist is becoming its own competition.
The PYMNTS Intelligence report “The AI Power User Gets Pickier,” the September edition of the Consumer AI Benchmark Report, found that 23% of consumers in the United States used AI for product discovery during the past year. Among AI adopters who research purchases, 93% did so. Researching and comparing products was the only one of 10 measured shopping activities to register meaningful growth.
That suggests AI technology is gaining traction when consumers decide what is worth considering in the first place. Being recommended by an AI could fast become as important as ranking on a search page.
AI Is Becoming Retail’s Decision Engine Before It Becomes Its Checkout
Much of the discussion around AI commerce has focused on agents buying products, initiating payments and eventually completing transactions autonomously. The more immediate disruption may be happening earlier.
Consumers do not need AI to press a buy button. They already have efficient infrastructure for that. Where AI can provide incremental value is in navigating the messy decisions that precede it. Which laptop offers the best combination of battery life and processing power? Is the premium version worth another $300? Which television works best in a bright room? What running shoe makes sense for someone with knee problems training for a first marathon?
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Traditional search can return information. Generative AI can synthesize it around a consumer’s constraints. Before AI buys anything on behalf of consumers, it may decide who gets the chance to sell.
That means the competitive question for brands changes from “How highly do we rank?” to “Do we get mentioned at all?”
The distinction is consequential because recommendation interfaces can collapse several stages of the funnel into a single interaction. Discovery, education and comparison can happen inside the same conversation, leaving the consumer with a small number of candidates before reaching a retailer or marketplace. By the time the click arrives, much of the competition may already be over.
The progression resembles the earlier shift toward search engine optimization, but the objective is different. SEO largely asks whether a page can be found. AI discovery increasingly asks whether a product can be understood well enough to be compared and recommended in response to a particular need.
None of this means AI is replacing search engines, marketplaces or retailer websites. Consumers continue to use all three, and AI-powered search itself may blur those distinctions. But control over commerce has historically accrued to whoever controls an important gateway.
The companies that dominate AI commerce may not need to own the transaction to influence its economics. If they determine which products enter the consideration set, they can shape what consumers search for, which merchants receive traffic and where purchase intent ultimately lands.
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