The New Rules of Search Marketing in a Zero-Click World

For the entirety of the 21st century, consumers using the internet to research purchasing decisions have been presented with a familiar onslaught of digital results.

Someone searching for a product, whether a new tennis racquet, a dermatologist or a hotel in Paris, could count on a collection of links to help inform consumers of the often hundreds of options. For marketers, developing a playbook to ensure their solutions would be visible in the options became a priority activity.

Now, with the rapid rise of artificial intelligence, this familiar ecosystem is shifting — bringing dramatic changes for everyone involved in the search ecosystem.

“When consumers performed a traditional Google search, they were basically looking for a solution to a problem, and Google would help narrow the thousands or millions of solutions,” said Kimberly A. Whitler, the Frank M. Sands Sr. Associate Professor at the University of Virginia’s Darden School of Business. “AI platforms are shifting the consumer search process; increasingly, they are shifting from simply providing thousands of options to actually making decisions directly for consumers.”

A new technical note, “AI-Based Search: Information Search Marketing and Generative Engine Optimization,” written by Whitler and former CEO of High Give Marketing Partners Michael Pettiette, explores the implications of a seismic shift in consumer search behaviors, and charts a new course for brand visibility in a world in which searching consumers increasingly receive a single answer rather than an invitation to learn and explore further.

Collapsing the Funnel

Traditional internet search fits into the existing AIDA (Awareness, Interest, Desire, Action) marketing framework by helping provide a selection of options that can help facilitate consumers’ journeys as they progress down the proverbial funnel to purchase.

The emphasis has traditionally focused on driving awareness of options, with consumers then filtering through options to decide which most interests them.

In 2026, AI tools are shifting the nature of search itself, with consumers increasingly asking detailed, context-rich questions of AI platforms. As a result, the search results from AI platforms may provide a single solution versus pages of options. It may also include the option to purchase within the platform — skipping right to the final A in AIDA.

For marketers trained in traditional methods and goals of driving awareness in service of getting into the consideration set, the shift to the new landscape may be as dramatic as the move from the Yellow Pages to Search 1.0, according to Whitler. Savvy marketers are aware of the shift and moving fast, Whitler says, while those ignoring the shift invite significant risk.

The authors offer the example of the customer shopping for a mattress and asking a traditional search engine for the “best queen mattress for back sleepers for less than $2000.” The search results will appear with endless pages of possibility, and the diligent mattress shopper will begin their journey along the traditional funnel, likely meeting a bevy of well-known brands along the way.

Conversely, the same query entered into an AI-based platform offered up a single answer, the AI search engine’s idea of the ideal answer to the question of the single best mattress, which, in the real-life example cited in the case, is a fairly obscure mattress with a fervent fan base.

This is a function of two factors. First, AI generally doesn’t deliver the quantity of solutions that traditional search does. More importantly, while consumers have always searched for “the best” consumer product, AI will now give them a specific and direct answer. A query for the best hair dryer in the past would provide links to articles that may rate the Top 10 hair dryers, for instance.

The difference is significant. Consumers would have to do the sifting to figure out how to move from A to I in the funnel. Now, AI pushes consumers to D and even A.   

Whitler likens the shift to going to the grocery store in search of shampoo and browsing the wide assortment of options provided by the retailer versus going to the hypothetical AI-enabled retailer and being presented with only a single option, albeit one seemingly tailored to your stated needs.

“For the consumer, this can be good if the basis of the recommendation is legitimate, authentic, and accurate,” said Whitler. “For the marketer, this changes everything. They went from being in the consideration set to being excluded from it.”

And what of the countless human and financial resources spent by firms to build traditional digital awareness — think search engine optimization and search engine marketing in the form of paid links — and drive consumers toward an eventual purchase at the bottom of the funnel? Potentially irrelevant in the new search ecosystem.          

“The new AI-based algorithms don’t care how much you spent on traditional search marketing,” said Whitler. “It can be measuring something different.” 

Toward a Common Language and New Understanding

In a rapidly shifting landscape for marketers, in which adoption of AI-focused practices varies dramatically, and even a common language to describe potential approaches is not yet settled, Whitler and Pettiette propose an approach they term the Information Search Marketing (ISM) framework. The approach, which reimagines brand visibility for the new era, integrates paid versus organic influence and traditional versus AI-driven search.

The new framework posits four complementary strategies marketing leaders should manage together:

- Generative Engine Marketing, the paid efforts within or alongside AI-responses

- Generative Engine Optimization, the organic efforts to structure content that is optimized for AI responses

- Search Engine Marketing, the paid efforts to increase visibility in traditional search engine results

- Search Engine Optimization, the organic efforts to structure content optimized for traditional search engine results

The new framework doesn’t neglect traditional search marketing tactics, which remain critical, but encourages forward-thinking marketers to broaden their approach and commit resources to a new channel — and do so in a landscape many do not yet fully understand.

“This is less a shift from traditional to new search and more an expansion of the repertoire,” Whitler said.

The organizations that remain ahead will be the ones that make new search a key strategic priority, committing to understanding the new landscape, and to test and learn as they determine how all the pieces of traditional and new search fit together.

While there may be a presumption in some circles that younger digital upstarts may have an advantage in the space and inside track to win in new search, Whitler insists that channel usage by a consumer does not make one a channel strategist, and winning strategies exist for marketers of all stripes willing to commit to becoming expert in the new landscape.

“Just because somebody consumes a lot of TV or social media or spends nine hours a day on their phone, it does not make them a superior strategist that can strengthen consumer-brand experiences and generate demand,” said Whitler. “My mother was a world-class shopper. She could provide terrific feedback on her shopping experience. But this is quite different than being able to create and execute strategies that drive consumer preference.”

And those doing nothing, or clinging exclusively to traditional search tactics, may find themselves out of sync in a digital world increasingly shaped by AI capabilities.

“You have to learn the tools,” Whitler said. “AI is either going to be an advantage for you and your organization or a disadvantage.”

Access the full technical note, “AI-Based Search: Information Search Marketing and Generative Engine Optimization,” including the Five A’s of Search Success, at Darden Business Publishing.