The Shift in Searcher Behavior
For years, searching meant one path: open Google, type a few keywords, scan the results, click what looks right. That habit hasn’t gone away. What we expect from it has — and that’s rewriting how people discover, compare, and choose brands.
Today, the same person might ask ChatGPT to compare products against their specific needs, use Gemini to plan a trip, find a restaurant on TikTok, check what real people think on Reddit, and still read an AI-generated answer straight on Google. Four tools, one afternoon, zero contradiction.
The interesting shift isn’t Google to ChatGPT.
It’s that people now expect technology to do more than find information. They expect it to understand what they need, make sense of what’s out there, and help them decide. That’s changing how we discover everything — brands included.
We don’t want more results. We want better answers.
Traditional search puts the work on the searcher. Someone looking for a CRM types “best CRM small business,” opens five comparison pages, checks pricing on each vendor site, reads a stack of reviews, and builds a shortlist by hand. That’s an hour of effort before they’ve made a single decision.
With AI, the same person starts somewhere else entirely: “We’re a 15-person B2B company. We need a simple CRM with email marketing built in, budget under €500 a month. What are our best options?” That’s not a longer keyword. It’s a delegation. People have stopped asking “where can I find this” and started asking “can you make sense of this for me.”
Nielsen Norman Group’s research on how AI is changing search behaviors found the same pattern: generative AI strips out the tedious part of research — figuring out the right search terms, comparing sources by hand. For a business, that’s the real stake. When a prospect hands the comparison step to an AI assistant, ranking on page one of Google no longer guarantees a seat on the shortlist that assistant hands back.
Search stopped being about retrieval. It’s about decisions now.
AI earns its keep in the messy middle of research: several requirements, no fixed idea of what “the answer” looks like, information scattered across sources that don’t agree. NN/G explored this directly in GenAI for Complex Questions, Search for Critical Facts. Participants reached for generative AI when they were starting from a vague idea, juggling constraints, or synthesizing across sources — and reached for traditional search when accuracy, control, or a trusted source mattered more.
In that study, 6 of 9 participants moved between traditional search and AI while completing the same task. Small sample, not a population statistic — but the behavior is worth noting. People weren’t choosing AI over search. They were choosing whichever tool matched the job in front of them.
Which is why “AI is replacing Google” misses the real story. Search is fragmenting by intent. Someone might use AI to explore options, Google to verify a claim, Reddit to check what real users think, TikTok or YouTube to watch the product in action, and the brand’s own website to confirm the details before buying. For a company, visibility can’t live in one channel anymore. Ranking well on Google while being absent from AI answers, community threads, or short-form video isn’t a rounding error. It’s a gap.
Even Google is trading links for answers.
This isn’t a ChatGPT or Gemini story. Google itself is redefining what a “result” is. AI Overviews can answer a question before anyone clicks a link, and AI Mode adds a conversational layer where people ask something complex and keep refining it with follow-ups. NN/G’s evaluation of Google AI Mode calls the combination of traditional search and conversational AI genuinely powerful, while flagging real usability and discoverability problems in the current experience.
The interface matters less than what it signals: the result is becoming the answer. That’s already changing behavior. A Pew Research Center analysis of Google browsing found that when an AI summary appeared on a results page, users clicked through to a traditional result in 8% of visits, versus 15% when no summary appeared. Close to half the click-through rate, gone.
For two decades, the contract of search was simple: you ask, Google finds, you visit, you decide. AI compresses that into you ask, AI finds and filters and explains, you decide what’s worth a closer look. The website hasn’t disappeared. It’s just being consulted later in the journey — often only after a brand has already been ruled in or out.
Discovery can happen before the click.
That compression changes how people encounter brands in the first place. Someone might ask an AI assistant, “what’s a good project management platform for a small creative agency?” They haven’t searched for a company name. They may not even know which vendors solve their problem. But the assistant can surface several options directly inside its answer — and those companies just entered the buyer’s consideration set before an ad, a search result, or a website visit ever happened.
That’s a direct result of how AI models build their picture of a brand: from the website, press coverage, reviews, directories, and whatever else is public. That picture is what decides who gets surfaced when someone asks.
This isn’t a fringe behavior anymore. McKinsey’s research into AI-powered search puts consumer adoption at 50% already, and estimates AI search could influence around $750 billion in consumer spending by 2028.
That doesn’t mean half of consumers have stopped using Google. It means AI has become another layer between a question and a decision — and companies that ignore it are invisible in exactly the moment a buyer is forming their shortlist. Discovery can now happen before anyone searches for you by name or lands on your site.
The real shift isn’t Google versus ChatGPT. It’s the searcher.
It’s tempting to read all this as Google losing to ChatGPT. It isn’t. Google is still deeply embedded in daily habits, AI assistants are becoming genuine research tools, social platforms drive discovery, communities supply opinions people trust, and websites still matter when someone wants it straight from the source.
What’s actually changing is how people combine all of it. The searcher cares less about where an answer comes from and more about how fast they can reach one they trust — sometimes that’s two words in Google, sometimes it’s explaining a complicated situation to ChatGPT, sometimes it’s asking AI for options and verifying them somewhere else entirely. That’s a different behavior than the one most companies have spent two decades optimizing for.
Search used to start with the challenge of finding the right information. Increasingly, it starts with a person simply describing what they need, in full, in their own words. Once someone has felt what it’s like to be understood, narrowed down, and moved forward by a system, ten blue links start to feel like one step in a longer process — not the whole journey.
Here’s the practical move: stop treating “search visibility” as a Google-only metric. Ask the AI assistants your buyers already use the exact question a real prospect would ask, in the words they’d use, and see whether your business shows up in the answer. If it doesn’t, that’s a visibility gap worth closing before a competitor closes it first.
FAQ
Is AI replacing Google search?
No. Google is still central to most people’s habits. What’s changing is that research is now split across AI assistants, Google, social platforms, and communities depending on the task — not defaulting to one search box for everything.
Why did click-through rates drop when an AI summary appears on Google?
Pew Research Center found users click a traditional result in 8% of visits when an AI summary is present, versus 15% when it isn’t — the summary already answers the simpler questions on the page, so there’s less reason to click through.
What does "AI visibility" mean for a business?
Being findable and accurately represented when someone asks an AI assistant a question related to your product or category — not just when they type your brand name into Google.
How can a company check if AI assistants recommend it?
Ask the assistants your buyers actually use — ChatGPT, Gemini, Perplexity, Google AI Mode — the real questions a prospect would ask, in their words, and review whether and how your business appears in the answer.
Should companies still invest in traditional SEO?
Yes. Traditional search still matters for verification, trusted sources, and precise facts, per NN/G’s research. AI visibility adds to that work. It doesn’t replace it.
Sources
Nielsen Norman Group, "How AI Is Changing Search Behaviors" (2025)
Nielsen Norman Group, "Google AI Mode: Powerful Search, Poor Usability" (2025)
McKinsey & Company, "New front door to the internet: Winning in the age of AI search" (2025)
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