This is a passage from our Digiday+ Research report” The online marketer’s overview to AI applications, agentic AI, AI search and GEO/AEO in 2026 ,” which checks out how marketing professionals are browsing the opportunities and difficulties AI brings as it ends up being an important component of marketing. The record is based upon a survey of 142 brand name and agency professionals, in addition to specific meetings with advertising and modern technology executives in charge of AI investments and applications development
The number of AI-powered search applications is expanding. Google presented its AI Overviews search function in 2024, complied with by AI Mode in 2025, while OpenAI turned out its ChatGPT chatbot in 2022, later on integrating a conversational search feature. Anthropic’s AI aide Claude and “address engine” Perplexity also feature conversational search results page.
While AI-generated search results are still fairly brand-new in contrast to traditional search engine result, marketers are deeply feeling the results. As consumers gain from significantly in-depth search results page driven by AI, brands are seeing substantial declines in site reference web traffic.
Digiday’s study located that greater than one-third of brand and agency pros (37 %) claimed their companies have actually seen reductions in upper-funnel search website traffic as a result of AI, and 21 % stated their companies have actually seen reductions in lower-funnel search web traffic as a result of AI.
This phenomenon has actually come to be understood amongst online marketers as zero-click search– customers discover solution to their search queries straight on the outcomes web page and do not need to click via to extra web sites for more details. Zero-click search is much more typical in AI-generated search results that usually give info in conversational summaries, like Google’s AI Overview.
In a December 2024 study of 1, 100 customers carried out by Bain and Dynata, 80 % of users stated they depend on AI summaries a minimum of 40 % of the time, causing an estimated natural website traffic reduction between 15 % and 25 %. And a 2025 eMarketer report estimated that AI search agents can cause a 38 % decrease in advertisement direct exposure throughout exploration, 47 % throughout consideration and 30 % at conversion.
Understanding how and when a brand name appears in AI-generated search engine result is likewise an obstacle for marketing experts, according to Jen Cornwell, senior director of AI, SEO and technology at efficiency marketing company Tinuiti.
“Because we don’t obtain data outputs from the [AI search] systems themselves, it’s been really hard,” Cornwell claimed. “We have actually moved right into zero-click, where there is very little attribution for presence within one of the AI search systems. Yes, you can obtain a citation. You could obtain a web link and consider your referral web traffic, yet that is what we’re presuming. It is a fraction of the presence that several of these brand names are obtaining.”
Some third-party companies are looking to help marketers fight this with devices that keep an eye on and enhance search efficiency, according to Adam Simon, previous handling supervisor at IPG Media Lab.
“We have actually seen a slew of new companies like Profound, Evertune and Bluefish that are terrific at being AI brand monitoring companies. Startups like Scrunch that help browse the area and enhance existing web content for AI-powered search and at some point for agentic business,” Simon said. “If you have the budget plan and the sources to deal with a firm like Scrunch, it can be handy. Long-term, we are going to see much better devices and interaction from the systems, like OpenAI, Google and Anthropic, regarding exactly how to engage with them.”
It deserves keeping in mind that Digiday’s study additionally discovered that nearly one-third of participants (32 %) said their company’s upper-funnel search traffic has actually stayed the same as an outcome of AI, and 36 % claimed their business’s lower-funnel search website traffic has actually remained unchanged.
AI-generated search is still an inceptive innovation, however growing consumer usage means that brands will likely be changing their service techniques around it for the near future, according to Left Field Labs’ Lee.
“Consumer behaviors are altering,” Lee claimed. “When you speak with AI regarding obtaining a referral, it feels extra relied on than the advertisements on top of a Google search. So the nuance of how brand names speak about their product, and just how AI then talks about their product, is truly interesting to check out. That journey for marketing professionals is unbelievably informative.”
It’s likewise crucial to keep in mind that standard search has actually not totally dropped by the wayside. Tinuiti’s Cornwell claimed consumers regularly return to typical search devices. “Consumers are still going back right into a standard internet search engine eventually in their search trip, maybe to extend the research that they did within a ChatGPT,” Cornwell stated. “AI search is in fact a smaller sized part of what brand names require to stress over. Brands need to focus on the basics. Exactly how can we include worth? Due to the fact that there is still value in natural search. It is declining in time, and we do need to plan for zero-click. However just how do we make sure that we construct towards both?”
As AI-driven search evolves, GEO (generative engine optimization) and AEO (solution engine optimization) are acronyms being used reciprocally to explain exactly how publishers, marketing experts, and shopping sites guarantee that AI spiders can easily comprehend sufficient information regarding a brand name so it surfaces in AI-powered solution engines. Essentially, GEO and AEO are to AI-generated search what search engine optimization is to standard search.
Marketing professionals work to optimize GEO and AEO strategies
When Digiday asked online marketers regarding just how their company is enhancing GEO or AEO approaches, no leading technique emerged from the study results. The greatest percent of study respondents (34 %) claimed their business’s GEO or AEO method includes highlighting extra content featuring answers to potential consumer inquiries.
Yet Digiday’s study likewise located that simply over one-quarter of participants (27 %) said their companies have not transformed techniques. At the same time, 16 % claimed they’re not acquainted with GEO or AEO.
“AI platforms act practically as a pseudo sales individual,” said Jen Cornwell, elderly supervisor of AI, SEO and advancement at efficiency marketing company Tinuiti. “Since ultimately the objective is to obtain the AI representative to suggest your brand. In order to do that, you require to calm the representatives.”
With the surge of AI-generated search, some typical search systems are incorporating AI shopping applications for customers. As an example, in November, Google introduced devices in Google Look and its Gemini application aimed at making browsing, comparing and getting products a lot more natural for buyers. The largest upgrade was to Google Browse’s AI Setting, which lets people describe what they are searching for in everyday language as opposed to making use of keywords.
This concentrate on colloquial language is a typical technique amongst brand names as they reassess their search strategies based on how they turn up in AI-generated results. An additional approach for brand names has been focusing on material like blogs and touchdown pages that make use of more conversational language.
“There’s a great deal of speak about AI search, and inadequate speak about this shift to conversational search,” Cornwell stated. “No matter system, individuals are already doing that within conventional search. … A lot of finest practices today are things that SEO was doing 10 – 15 years earlier. Really basic, like a frequently asked question, a bullet list or an HTML table. Those are styles that every one of the LLMs like to see.”
Personal treatment brand name Suave has actually tailored its very own technique as the industry shifts to concentrate on GEO and AEO. It started updating its web site in September to maximize for GEO. “We’re in the center of overhauling our whole website and web existence for Suave,” claimed Rafael Lopes, Suave’s vp of development and brand name equity. “We are [using] agentic AI, when it comes to search engine optimization and copywriting, to make certain that whatever we have actually related to item benefits and component lists and how we talk about our products is AI-friendly.”
In a similar way, big-box store Target has prioritized five crucial elements with its AI search method: price, item, promos, accessibility and policies. According to Ranjeet Bhosale, vp of electronic product administration at Target, the seller’s website is updated to make this data “machine readable” and prepared for AI engines to draw from– whether internally (with Target’s representatives) or on the surface.
Marc Maleh, international CTO at style and innovation agency, claimed many of the marketing experts he chats with do not have a strategy to enhance their GEO and AEO approaches. “A lot of them ask, ‘Are people in fact doing this?’” Maleh stated. “We talk with them concerning the numbers around Google search– down or plateauing– and the surge of individuals utilizing Gemini, ChatGPT to obtain search results page, and whether their content awaits it.”
Maleh stated brands shouldn’t think about optimizing for GEO and AEO as going back to square one, yet rather boosting their existing web content and search strategy to include GEO and AEO. “A lot of brands don’t recognize that there are similarities, but you have to put the material frameworks in position to have it crawlable,” Maleh stated. “Beginning with the simplest tools, like media intelligence, to do the heavy training.”
“It’s actually concerning leveraging existing content to start, rather than believing that you need brand-new content to show up in these areas,” Maleh added.
Numerous of the industry executives Digiday spoke to for this record also discussed that brand names need to adapt their earned media and organic social networks approaches for AI-generated search. “Every one of the LLMs consume this diet of earned media and I predict a larger investment in made media,” Tinuiti’s Cornwell stated. “In 2026, I assume we’ll see a larger influence in LLMs from natural social.”
M 7 Innovations’ Maher especially indicated social information aggregation and discussion platform Reddit as the perfect mix of search and social chance. “Reddit is a system that has a mature ad community and it has 22 billion human-created messages that are used as authority in these huge language models,” Maher stated. “Articles that are six-, 12 – or 18 -months-old still get sourced first within AI online search engine and Reddit continues to be No. 1, otherwise in the leading 3, of the resources cited in big language search.”
“That’s why Reddit is so powerful,” he added. “I can take my advertisement spend on Reddit and develop authority with big language versions, which is the alchemy that brands desire.”
The means former IPG Media Lab’s Simon sees it, there is still room for growth when it involves agentic AI. “The LLMs do not need to be better, but the agentic abilities need to be far better. Their hooks right into other platforms and systems require to be much better to enable them to carry out jobs in a more useful way,” Simon claimed. “We will certainly see development on that particular front over the following year or two, but we have another 2 or 3 years worth of advancement on the item side, before the functions, integration and distribution catches up with the abilities.”
Recommended Social & Ad Tech Equipment
Disclosure: We may earn a commission from associate web links.


Leave a Reply