Milena Traikovich is a powerhouse in the world of demand generation, recognized for her ability to transform complex data into high-performance marketing engines. With a deep background in performance optimization and lead nurturing, she has spent years helping brands navigate the shifting tides of search and consumer behavior. Today, the landscape is shifting again, driven by an artificial intelligence revolution that is simultaneously empowering and unsettling for consumers. We are sitting down with Milena to discuss the “trust cliff”—a phenomenon where people are increasingly relying on AI search for its speed and convenience while remaining deeply skeptical of the information it provides.
In this conversation, we explore how the traditional marketing funnel is collapsing into a much shorter, decision-driven journey that bypasses homepages entirely. Milena breaks down the nuances of why B2B software buyers are flocking to AI to condense weeks of research into mere minutes and how this speed creates a precarious situation for brand control. We also dive into the critical importance of product detail pages, the psychological impact of sponsored content within AI responses, and why the current adoption of AI mirrors the early, turbulent days of social commerce.
Even though the majority of consumers have integrated AI search into their daily research routines, very few actually trust the information they receive; how do you see marketers bridging this gap between high usage and low confidence?
It is a fascinating paradox that we are seeing right now, where sixty-five percent of Americans have used AI search in just the last six months, yet a staggering only fifteen percent say they truly trust it. This “trust cliff” suggests that while people crave the efficiency of these tools, they are still waiting for a reason to believe the outputs are unbiased and accurate. For a marketer, bridging this gap isn’t about shouting louder but about ensuring that when a consumer eventually clicks through, the reality of the brand matches the AI’s summary perfectly. We have to treat AI not as a competitor for the consumer’s attention, but as a filter that we must pass through with absolute consistency. It feels a bit like walking a tightrope where the consumer is looking for any reason to doubt you, so our data and our presence must be more transparent and reliable than ever before.
The shift toward AI seems to be drastically accelerating the decision-making process, especially in B2B software; what does it mean for a brand when a buyer’s research phase shrinks from weeks to just a few minutes of chatting with a bot?
The acceleration is breathtaking, especially when you consider that fifty-three percent of B2B buyers now find AI search more productive than traditional methods. We used to have the luxury of nurturing a lead over several weeks as they moved through our white papers and webinars, but now, they are getting a synthesized comparison of vendors in the time it takes to brew a cup of coffee. This means that a brand’s first interaction with a potential client often happens before the brand even knows the client exists, through the lens of a third-party algorithm. It creates a sense of urgency for us to influence the training data and the public sentiment that these bots scrape, because by the time the buyer reaches out, they are already at the point of decision. We are losing those early “get to know you” moments, which forces us to make every visible piece of information—whether it’s a review or a technical spec—impactful enough to survive that rapid-fire synthesis.
If the traditional journey from homepage to category page is being bypassed in favor of direct landings, how should brands rethink the role and design of their product detail pages?
We are seeing a massive shift in how traffic flows, with research showing that seventy percent of AI-referred users land directly on product detail pages, effectively turning them into the new “front door” of the brand. For years, we treated these pages as the final step, a place for dry specs and a checkout button, but now they have to perform the welcoming, storytelling role of a homepage. When a shopper arrives there from an AI chat, they are already close to a final choice, so the page needs to feel both authoritative and welcoming at the same time. You have to ensure that the sensory details—the imagery, the social proof, and the clear value propositions—are immediate because you may not get a second click to a “Brand Story” page. It’s about creating a landing environment that validates the AI’s recommendation while providing the emotional hook that an algorithm simply cannot replicate.
With research suggesting that three-quarters of Americans would lose trust in AI results if they were clearly sponsored, how can brands maintain visibility without alienating a skeptical audience?
This is the most delicate part of the trust cliff, because while seventy-five percent of people say they would lose faith in sponsored AI results, brands still need a way to ensure they are seen. It suggests that the “pay-to-play” model of traditional search might actually be toxic in a conversational AI context if it isn’t handled with extreme care. Consumers are looking for a helpful assistant, not a digital billboard, so visibility has to feel organic and earned rather than bought. If a brand can show up because it is genuinely the most relevant answer to a specific, niche query, that builds a different kind of rapport than a “Promoted” tag might. We have to focus on being the best answer to the user’s problem, ensuring our content is structured so clearly that the AI naturally selects us as the most helpful option without needing a financial nudge that might trigger that consumer skepticism.
You’ve compared the current adoption of AI search to the early days of social commerce; what lessons can we take from that era to help consumers feel more comfortable with AI-driven recommendations?
In the early days of social media, people were incredibly hesitant to buy products directly through a feed or trust a recommendation from a platform they used for looking at family photos, but eventually, confidence grew as the utility became undeniable. I see the same pattern here, where trust grows when the technology stops feeling like a gimmick and starts feeling like a moment of serendipity. If a retailer uses AI to understand exactly what a shopper needs and offers a recommendation that is genuinely helpful and personal, the “creepy” factor fades into a feeling of being understood. It’s about moving from intrusive technology to intuitive service, much like how we learned to trust influencers or peer reviews over traditional commercials. We are in that awkward middle phase right now where the technology is faster than our cultural comfort level, but as AI proves its value through consistent, helpful interactions, that trust cliff will eventually level out into a standard path.
What is your forecast for the future of brand loyalty in an era where AI bots are the primary gatekeepers of information?
I believe we are entering an era where brand loyalty will be defined by “data integrity” and the ability to spark human connection in a purely digital environment. As AI becomes the primary gatekeeper, the brands that win will be the ones that provide the most consistent, high-quality information across every corner of the web, making it impossible for an AI to ignore their value. However, the true loyalty will be won on the backend—on those product pages where the human element finally takes over from the bot. My forecast is that we will see a “flight to quality” where consumers, tired of the noise and the potential for AI hallucinations, will double down on brands that have established a reputation for being radically transparent and helpful. The bot might open the door, but the brand’s honesty is what will make the customer stay, and that human-centric trust will become the most valuable currency a marketer can hold.
Do you have any advice for our readers?
My best advice is to stop obsessing over your homepage and start auditing your product and landing pages as if they are the only thing a customer will ever see. You need to ensure your data is clean, your reviews are authentic, and your value is undeniable to both a human and an algorithm. In an AI-driven world, you cannot hide behind a flashy brand campaign; you have to be excellent at the granular level because that is where the AI is looking. Focus on being the most helpful resource in your niche, and trust that if you provide genuine value, the technology will eventually work in your favor rather than against you. Be patient with your customers’ skepticism—earn their trust by being consistently right rather than just being loud.
