For three decades, I’ve watched consumer behavior evolve across television, search and social media. Each shift changed tactics, but not the underlying logic of decision-making.
What I’m watching happening right now is different. And I know I’m not alone. Every seasoned marketer I talk to, whether they’ve built their careers in offline media or digital platforms, says some version of the same thing: something fundamental has changed, and the old playbooks no longer work the way they used to.
This is not just a platform change. It’s a psychological thing. For the first time in my career, I’ve watched users shift from information seeking to certainty seeking, and that shift makes all the difference.
When behavior is predictable
I remember a time when a celebrity’s face on the television screen was essentially a guarantee. Brand loyalty is closely followed by fan loyalty. If your brand ambassador had a loyal following, this following would follow them to your product. It was a simple, time-tested formula: attention begets association, association begets purchase. And it worked consistently for decades.
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When the Internet arrived, it digitized that predictability instead of dismantling it. Google and Yahoo have turned discovery into a structured, keyword-driven system. Users searched, engines returned ranked results, and businesses that appeared at the top of those results won the customer. For the better part of a decade, through multiple algorithm updates, through the rise of paid search SEO arms racethe main principle was maintained: be visible and you will be chosen.
Both eras rewarded the same thing: achievement. Who could appear in front of the most people? This question has shaped marketing strategy for nearly three decades.
What has actually changed
The change I describe is not about which platform wins or loses. It goes deeper than that, it has to do with how people make decisions.
The credibility of celebrities has declined like never before. It’s not that people don’t trust celebrities, it’s that modern consumers understand the commercial ecosystem they work within. They know that an endorsement is a transaction. With global data at their fingertips, they also know that a single confirmation is not enough reason to spend money.
Young consumers in particular, Gen Z and recent millennials, have moved almost entirely to first-hand experience. His own experience, or the experience of someone close to him, age group, special context. Not a famous one. A related one. And even then they check.
The distinction between online and offline has also largely been eliminated. A consumer who sees a product in a store will pull out their phone before placing it in their cart. A consumer who hears a recommendation from a friend will check it before acting on it. Behaviors that once lived in separate worlds, browsing a physical shelf, reading reviews online, asking peers, now occur simultaneously, fluidly, and continuously.
What Research Showed Me
To test whether my observations reflect broader patterns of professional behavior, I conducted an in-person field survey of nearly 500 people from mid-2025, not a formal academic study, but purposefully diverse: college students, working professionals, housewives, and retirees of various age groups and economic backgrounds. The results confirmed the pattern I felt.
87% of 16-20 year olds said that their main trust in purchasing decisions is friends, parents or teachers, people in their immediate environment. In the 21-30 age group, 73% mix the opinions of their peers with social media and choose the individuals they follow, but 96% of that group said they double-check suggestions before acting on them. Almost everyone. Among 31-40 year olds, 65% display similar checking behavior. Even in the 41 and over segment, 44% now follow the same pattern, slower adoption but in the same direction.
A common theme in every age group: trust is no longer taken for granted. Earned and then checked. Consumers of every generation have become active validators rather than passive buyers.
Are LLMs an innovation or a response to market pressure?
If we look at the history of technology, such a pattern appears about every ten to fifteen years: radio gave way to television, television gave way to the Internet, Internet search engines, search engines gave way to social media. Each revolution didn’t just create a new platform, it changed the way buyers behave. This means that if you are a marketer trying to understand the AI ​​era, your first question should be “How can I optimize for this platform?“it is”How has buyer behavior changed and why?“
The rise of the great language models—ChatGPT, Gemini, Confusion, and others—is a direct response to the psychological shift I’ve described. These tools did not create a checking instinct in modern consumers. They answered.
Traditional search engines offered a list of options and left the user to sort through competing claims. LLMs synthesize. They collect data from multiple sources and return a structured response. For a consumer whose instinct is to check, cross-check and reach certainty before making a decision, this is not only convenient, but it’s what they’re already trying to do, done faster.
What I think is being missed is this: the tech giants investing most aggressively in this space—OpenAI, Google, Microsoft—are not motivated purely by innovation. They realized something more disturbing. The audience that once lived on their platforms is fragmenting. The focus was divided into social media, e-commerce platforms and dozens of other channels. LLMs are, in part, a strategic attempt to regroup that audience under a single, trusted interface.
They don’t build these tools because they want to. They build them because staying passive risks losing The next interface layer of the Internet.
And that changes the stakes significantly. Because an LLM that users trust enough to make purchasing decisions is an LLM that should remain unbiased. The moment users feel commercial orientation in recommendationthey abandon it and move on to the next instrument that feels more neutral. The entire value proposition of these platforms depends on being perceived as trustworthy.
What this means for brands
The transition from visibility to reliability is not a subtle one. In the old paradigm, a brand that appeared often enough and loud enough would eventually be chosen. In this paradigm, it is necessary to show, but nowhere is enough. If your brand doesn’t survive the moment a potential customer decides to validate your claims through an AI tool, peer networks, reviews, or independent sources, you’ll likely end up in the review pool.
A useful example of this change can be seen in how consumers now make relatively small purchasing decisions. A user may first discover a product via TikTok or Instagram, search for reviews on YouTube, check reviews on Reddit, compare alternatives via Google, and finally ask ChatGPT or Perplexity to summarize the best option before purchasing. It’s not the number of platforms that matters, but the behavior itself.
Another example: take a purchasing manager who evaluates CX outsourcing vendors. They can first encounter a shortlist through an AI overview, check reviews on Clutch, G2 or Trustpilot, view case studies on the vendor’s website, scan Reddit or industry forums for unfiltered ideas, and finally ask ChatGPT to compare the best options. Investing in verified reviews, documented case studies, and third-party editorial content, the company survives this journey. Non-existent, non-existent.
Consumers no longer rely on a single source of authority. They build trust through layered verification and have a concrete behavioral change outcome for brands.
In practice, this means thinking less about number of impressions and more about data integrity. Can your claims be verified? Are you consistent across every surface a user can check – your website, third-party reviews, forum discussions, AI-generated summaries? Is there enough legitimate, high-quality data in trusted ecosystems for LLM to accurately represent your brand? These are not marketing questions. These are infrastructure questions.
Most brands are still optimizing for the old game: reach, frequency, creative impact. Forwarders do something different. They make it easier to trust the moment a skeptical consumer decides to take a closer look, because they have nothing to hide when someone does, rather than being louder.
A deeper transition
What I keep coming back to from everything I’ve observed in our survey and after three decades of watching the markets move is that the basic human need has not changed. People always wanted to be sure before they acted. What changes is the extent of this certainty and the speed at which they expect to reach it.
The importance of searches has not decreased. It became more decisive. Increasingly, users don’t just want to explore; they try to quickly reduce uncertainty. And if your brand can’t be a part of that moment in a verifiable way, then your brand simply doesn’t exist at that particular decision moment.
This is a much more difficult challenge than getting SEO right. But it’s also more honest because it forces brands to not only “ask.”how do i find“but”Am I eligible to be selected?“
In the age of artificial intelligence, this is the only question that really matters.
