AI-Generated Search Results are changing how brands compete for attention, according to a DesignRush article featuring Brandi AI CEO Leah Nurik. The article argues that companies need to be understood and cited by AI systems, not only ranked in conventional search results.
The article defines Generative Engine Optimization, or GEO, as work to increase a brand’s visibility in AI-generated summaries and responses. It describes GEO as structuring digital content so large language models can identify, synthesize and cite a brand as a source.
Nurik said the distinction is between being listed and being selected as part of an answer. “Being listed is one thing, but being selected, interpreted, and presented as part of an answer is something else entirely,” she said.
AI-Generated Search Results Move Decisions Earlier
The article cites Bain & Company figures saying 80% of consumers rely on generated summaries for at least 40% of their searches. It also reports that around 60% of searches end without users going further, according to the same Bain & Company release. The figures frame the article’s central concern: people may make decisions after reading a generated response without visiting several websites.
That possibility changes the role of a search ranking, Nurik said. “Ranking still matters, but it’s no longer the moment of influence. The decision is happening earlier, inside the response itself.” DesignRush’s account says brands absent from the information presented upfront can be missed.
The article contrasts keyword matching, which helps search engines index and rank pages, with making a brand’s identity and expertise clear enough for AI systems to interpret. Nurik said much online content is written to be found, while less is structured to be understood.
GEO Puts Structure and Credibility in Focus
DesignRush lists practices Brandi AI recommends: use schema markup to define entities, make author expertise attributable, keep brand mentions consistent across high-authority sources, and create pages that answer questions directly. These are presented as ways to help systems interpret and reuse information, not as guarantees of visibility.
The article says credibility matters after a brand appears in an answer. It cites Gartner’s estimate that as many as 53% of consumers do not fully trust AI-generated results. Nurik described credibility as a ranking signal. Recommendations include publishing under attributable experts, earning third-party citations, and keeping data consistent across directories, media and company-owned platforms.
Related coverage examines AI search visibility and SEO benefits beyond rankings. Those topics also consider how brands can be represented across search experiences.
DesignRush reports Bain & Company’s estimate that organic web traffic could fall by 15% to 25% as more users rely on generated summaries. Separately, it attributes to Reuters a projection that AI-driven search advertising could grow from just over $1 billion in 2025 to nearly $26 billion by 2029. Nurik said budgets follow outcomes shaped before a click.
Leaders Are Asked to Broaden Their Search Strategy
The article does not call for abandoning SEO. Instead, it says leaders should treat content as a knowledge asset as well as a traffic source. Recommendations include making key information explicit, aligning messages across channels, building authority beyond owned media through public relations and partnerships, and answering real questions in direct language.
For companies considering the role of executive identity, this site’s coverage of executive visibility offers a related perspective. Both topics address whether an organization and its people can be clearly understood and trusted.
Nurik framed the change as becoming a source that AI systems use. The article’s practical next step is to make brand information explicit, consistent and attributable, while continuing to account for traditional search. It presents that work as an expansion of SEO strategy shaped by generated answers and the way they influence discovery.
