Large language models are changing how consumers find brands, often bypassing traditional company websites during the discovery process [1].
This shift threatens the visibility of businesses that rely on standard search engine optimization. As consumers move away from traditional search bars toward AI interfaces, brands that are not cited by these models risk becoming invisible to a growing segment of the market [1, 2].
Danielle Bozarth, a senior partner at McKinsey & Company, said four trends are currently reshaping consumer behavior in 2026 [1]. These trends highlight a transition toward agentic commerce, where AI agents handle research and discovery on behalf of the user [2].
Because many brand-owned websites are not being cited by these LLMs, the traditional path from a search result to a company landing page is eroding [1, 2]. This creates a gap between how companies present their information and how AI models retrieve and summarize that data for users.
Industry responses to this shift are already appearing in the market. On Aug. 1, 2026, UnoSearch launched an AI SEO optimization service designed to help U.S. businesses improve their visibility across both traditional search and AI-powered discovery platforms [3].
The emergence of these tools suggests that the era of simple keyword optimization is ending. Companies must now ensure their data is structured and accessible for the algorithms that power AI responses, or they may lose their place in the consumer's decision-making process [2, 3].
“Many brand-owned websites are not being cited by these LLMs.”
The transition from traditional search engines to AI-driven discovery represents a fundamental change in digital marketing. If AI agents become the primary gatekeepers of information, the value of a brand's own website may shift from a discovery tool to a final conversion point, forcing companies to optimize for machine readability rather than just human clicks.
