--- title: "AI Search: A Branding Channel or a Distraction?" url: https://adtech.lol/articles/451cc07a-0431-4aed-983e-8682d4c78ffb source_url: https://searchengineland.com/ai-search-branding-channel-498618/ source_site: searchengineland author: "Michael King" published: 2026-10-03T00:00:00+00:00 tags: ["SEO", "AI", "Branding", "Marketing", "Digital Marketing"] publisher: AdTech Radar --- # AI Search: A Branding Channel or a Distraction? > Three studies indicate that AI-generated search traffic is minimal compared to traditional organic search, raising questions about the efficacy of AI as a performance channel. However, the real impact may lie in brand awareness rather than direct traffic. ## Introduction Three studies dropped in the same week, and they all arrived at the same verdict. Marie Haynes looked at 12 months of GA4 data across 100 sites and found that ChatGPT sent 0.62% of the traffic Google organic did. SEO Works found that organic delivered 39 times the traffic of AI assistants and roughly 30 times the conversions. Kevin Indig ran 632 tests across 12 sites and couldn’t establish a reliable link between AI visibility and subsequent branded search or direct traffic. Rand Fishkin bundled them together, and the conclusion that spread was that GEO is a distraction and you should get back to the work that sends clicks. ![1 1000 Search Visits Ga4](https://searchengineland.com/wp-content/seloads/2026/10/1-1000-search-visits-ga4.png) _Source: Marie Haynes, GEO is a distraction_ I’m not going to argue with the numbers. The methodologies are reasonable, the people behind them are serious, and if you measure AI Search as a performance channel, that is exactly what you’ll find. It sends very little traffic, and it probably always will. The problem is the conclusion, because every one of these studies grades a brand channel with a traffic ruler. It’s the equivalent of judging a Super Bowl spot by its click-through rate and deciding television is a distraction. The numbers are right. The category is wrong. Getting the category right matters because of what’s being written off. ChatGPT now reaches 1.2 billion people every week, up from 900 million in February. Google’s AI Mode has crossed a billion monthly users, AI Overviews reach 2.5 billion, and the Gemini app is closing in on a billion of its own. No information environment in history has reached this many people this fast, and the advice making the rounds this week is to ignore it because it doesn’t show up in your referral report. That is exactly the kind of thinking that keeps SEO in the basement of the business. What changed is not whether these systems send traffic. What changed is the exchange between you and the machine, the mental model of the person on the other side of it, and the yardstick nobody bothered to update. ## What they actually argue, and where we agree It’s worth being precise about what these three pieces claim, because the strongest version of their argument is not the one that got amplified. Marie’s position is that GEO, meaning the bag of tactics that promise to get you into ChatGPT answers, is a distraction from the surface that is actually sending visitors to your business, which is Google. Her advice is to spend the time preparing for the agentic web instead: UCP, Universal Cart, WebMCP, intelligent eyewear and whatever comes next. SEO Works makes the narrower point that AI assistants deliver a small fraction of organic’s traffic and conversions, even though the visitors who do arrive convert better. Kevin’s piece is the most careful of the three. He went looking for the brand effect everyone claims exists, the idea that AI visibility shows up later as branded search and direct traffic, and across the brands he tested he couldn’t find it reliably. ![2 Ai Referral Traffic Share Organic Search Traffic](https://searchengineland.com/wp-content/seloads/2026/10/2-ai-referral-traffic-share-organic-search-traffic.png) _Source:_ _The SEO Works, AI Referral Traffic Benchmark_ I agree with more of this than you’d expect. GEO as a tactical discipline, the schema hacks and the llms.txt files, and the “write for the robots” advice are a distraction, and I’ve said so. Google is still the surface sending the most visitors, and anyone telling you to abandon it is selling something. And Kevin is right that the brand effect has not been demonstrated at scale with analytics data, because it hasn’t. Where we part ways is the conclusion. The question these studies answer is whether AI search is a good performance channel, and the answer is no. The question that matters for anyone allocating budget is whether a channel that over a billion people a week use to ask questions, compare options and form opinions deserves strategy, measurement and investment as a brand channel right now. That is a different question, and nothing in the referral data speaks to it. ## Part of the problem is the name We call it AI Search because the machine is searching. The person is not. The person is having a conversation, and that distinction explains most of what the traffic studies found. We saw this a year ago when we ran the first UX study of AI Mode with Farrah Bostic. We put real people in front of it with real tasks, from comparing credit card loyalty programs to finding shoes under $75, and watched what they did. The clearest finding was that nobody treated it like search. They treated it like a research companion. They asked a question, read what came back, asked a follow-up, and formed an opinion, and the ten blue links they would have clicked through in a classic session mostly went unclicked because the system had already done that work for them. ## The category error All three studies measure AI Search as a performance channel, find that it’s a weak one, and conclude that it doesn’t matter. That is the category error, and the reason it’s an error is that the value exchange between you and the application has changed. The old deal was simple. You gave Google content, Google gave you clicks. That worked because classic retrieval was deterministic: the old Google showed your content in the form you delivered it, ranked against other documents, and the SERP was a directory that sent people to you. Traffic was the payment because traffic was the product. The new deal is different. In AI Mode, AI Overviews and ChatGPT, your content is raw material for an answer the system composes itself. The person’s need gets met inside the interface. What you get back for being part of that answer is no longer a visit. It’s presence, attribution and trust, delivered at the moment someone is actively deciding. That is what brand channels have always sold, and a brand channel measured in sessions will always look like it’s failing. ## The behavior proves it If chat really carries a different mental model than search, you’d expect to see people leave less often the more conversational the interface gets. That is exactly what the data shows, across three independent methods. Start with clickstream. Semrush’s AI Mode analysis puts the three Google surfaces on one scale: roughly 34% of sessions end without a click when there’s no AI Overview, about 43% when there is one, and about 93% in AI Mode. Same search engine, same users, and a steep climb in people staying put as the interface gets more conversational. ![4 Average Zero Click Rates](https://searchengineland.com/wp-content/seloads/2026/10/4-average-zero-click-rates.png) _Source:_ _Semrush, Google AI Mode SEO impact_ Pew Research measured actual people rather than aggregate logs. In its panel study of 900 US adults, users clicked a traditional result 8% of the time when an AI Overview appeared versus 15% when it didn’t, and only 1% of searches with a summary led to a click on a source inside it. Sessions ended outright 26% of the time with an AI Overview compared to 16% without. The summary didn’t just reduce clicks. It ended the task. Then there’s what people do when you sit next to them. Our AI Mode UX study saw it first: participants read, asked follow-ups, and formed opinions inside the pane, treating it as a companion rather than a directory. ChatGPT is further along the same curve. OpenAI’s study of 1.5 million conversations with the NBER found that 49% of messages are what the researchers call “Asking,” meaning people seeking information and advice, and that category is both growing fastest and rated highest quality by users. People are bringing search-shaped needs to a conversational interface and walking away satisfied without visiting anyone. ## Not attributable, still decisive If the exposure and the decision occur within the answer, then the only way to see the effect is to ask people. When you do, they tell you AI is shaping what they buy, and the part that should worry a CMO is the part that never shows up in any analytics platform. Attentive surveyed US consumers and found that 62% have bought a different product or brand than they normally would because of an AI chatbot, and 71% say AI meaningfully affected which brands they considered at least half the time. The negative side is more persuasive than the positive one. In that same Semrush survey, nearly 81% of people who shop with chatbots said they had decided against a purchase based on AI guidance. Think about what that means for a brand that doesn’t show up, or shows up with bad sentiment. ## Taking Kevin’s null result seriously The strongest argument the other side has is Kevin’s finding, so let me state it without softening it. He tested whether AI visibility shows up later as branded search or direct traffic, ran 632 tests across 12 sites, and across the four brands with full visibility data he could not establish a reliable link. If you’re going to claim a brand effect, that result deserves an answer rather than a shrug. Here is my answer. The test was built to find a traffic effect, and brand effects don’t behave like traffic effects. The direct-traffic comparison was one month against the next, August to September, and the direct-traffic analysis excluded homepages, which is precisely where someone types in a brand they just heard about. And four brands is four brands. ## Brand channels have never been attributable Here is the part of this debate that the SEO industry keeps getting wrong, and it’s a function of where we came from. Search was the one channel where every dollar could be tied to a click and every click to a conversion, and we built an entire discipline on that promise. Nobody has ever attributed a billboard. Nobody attributes a television spot, a sponsored podcast, a stadium naming deal, or a celebrity holding a product on a red carpet. Display ads are measured in view-through conversions that everyone in the room knows are generous. And yet the money keeps flowing to exactly these channels, because the people allocating it understand that influence and attribution are different things. Source: [https://searchengineland.com/ai-search-branding-channel-498618/](https://searchengineland.com/ai-search-branding-channel-498618/)