Milena Traikovich is a seasoned strategist in the realm of demand generation, recognized for her ability to transform complex analytics into high-performing marketing initiatives. With an extensive background in performance optimization and lead generation, she has spent years helping businesses bridge the gap between digital visibility and actual revenue growth. In her current role, Milena focuses on the shifting dynamics of search behavior, guiding marketing teams through the transition from high-volume traffic models to high-quality intent strategies. Her expertise is particularly relevant today as organizations grapple with the rise of conversational AI and its impact on the traditional search landscape, ensuring that brands remain authoritative and profitable even as the “click” itself becomes a scarcer commodity.
This conversation explores the evolving reality of organic traffic, specifically how AI-generated summaries and zero-click searches are decoupling website visits from commercial success. We examine the psychological triggers behind different types of search queries and why foundational informational traffic rarely translates to immediate sales. Milena provides a detailed framework for distinguishing between mere reporting anomalies and genuine business threats, using specific health metrics like branded search volume and assisted attribution. Finally, we discuss the strategic pivot toward non-commoditized, original content that serves to protect a brand’s most valuable commercial assets in an era where quantity of attention is being replaced by the depth of engagement.
With the rise of conversational search features and AI Overviews, we are seeing a fundamental shift in how users interact with information online. How exactly are these immediate, zero-click answers altering the traditional relationship between a searcher and a website?
The landscape has shifted from a “discovery and click” model to a “synthesis and consumption” model right on the search results page. Historically, a user would type a query, scan a list of blue links, and click through to a page to find their answer, which our analytics tools would then dutifully record as an organic session. Today, modern search features synthesize those answers at the very top of the page, providing the user with the exact definition or summary they need without requiring a single click. While this might feel like a loss of control for marketers, it’s important to realize that the initial touchpoint is still happening; your brand’s data and perspective are often being cited within that AI summary. The user gets the sensory satisfaction of an immediate answer, and your brand earns the mental association with that answer, even if the interaction never triggers a traditional pageview in your reporting software.
It can be quite jarring for a marketing team to see a sharp decline in their organic traffic dashboard. Why do you believe that a drop in sessions doesn’t necessarily indicate a business emergency or a failure in strategy?
The panic often stems from a misunderstanding of what those lost clicks actually represented in terms of commercial value. A visitor who clicks on a top-of-funnel article just to find a quick industry definition is rarely the person who is going to pull out a company credit card and complete a purchase during that same session. These informational clicks have always had low commercial intent, and losing them to an AI summary doesn’t hurt your bottom line because those users weren’t ready to buy yet. In fact, data shows that while LLMs are becoming more popular, Google organic search still drives 27 times as many conversions as all large language models combined. If your inbound inquiries and revenue remain steady while your traffic dips, it simply means you are filtering out the noise and retaining the visitors who actually matter to your pipeline.
You have spoken about the “attribution gap” that occurs when a prospect interacts with a brand via a search summary rather than a click. How can marketers track the influence of these non-click interactions on the eventual customer journey?
We have to look at the “after-effects” of that zero-click interaction, which often manifest as direct visits or branded search queries later in the week. A prospect might see your company name credited as a primary source in an AI answer, and instead of clicking then, they might type your URL directly into their address bar once they are ready to evaluate a solution. They might also encounter your thought leadership on social platforms like LinkedIn or YouTube after that initial search exposure, eventually converting through a paid channel. Because traditional analytics tools rely so heavily on last-click attribution models, that original organic influence often goes uncredited. To see the full picture, you must monitor whether your branded search volume—people searching for your company name plus “pricing” or “case studies”—remains robust even as your non-branded traffic seems to dry up.
When a marketing leader is looking at a downward trend in traffic, what specific metrics should they inspect to determine if they are facing a reporting illusion or a genuine commercial slump?
You have to move past vanity metrics and look at the “commercial bottom-line health” of the organization. First, check your pipeline and revenue; if those remain flat or continue to grow despite the traffic drop, you are likely looking at a reporting shift caused by AI-generated answers. Next, look at your high-intent organic sessions—these are visitors landing on your product, service, demo, and pricing pages—and if those stay stable, your core business is safe. You should also examine Search Console to see if your total impressions and citations remain high; if you are still being seen and cited, but your click-through rate is simply lower for broad informational terms, you haven’t lost your authority. A genuine problem only exists if your revenue drops in parallel with traffic, or if your branded search interest and commercial page rankings fall off a cliff simultaneously.
In this new environment, many teams feel pressured to produce more content to “win back” lost traffic. Why is focusing on volume often the wrong response to the rise of AI-generated summaries?
Panicking and churning out thinner, repetitive articles is a recipe for disaster because search algorithms can now easily summarize generic advice and standard definitions. If your content team is just repeating what everyone else is saying, the AI will synthesize it, and the user will never have a reason to click through to your site. Instead of volume, you must prioritize “non-commoditized” insights, such as primary industry research, proprietary dataset releases, and strong editorial perspectives that provide a unique “why” behind the “what.” This type of high-value content creates a curiosity gap that a summary cannot satisfy, essentially forcing the user to click if they want the full depth of your expertise. By focusing on quality over quantity, you ensure that your team is investing energy where it actually moves the commercial needle rather than chasing empty session numbers.
How should businesses rethink the structure and technical health of their “high-intent assets” to ensure they are capturing the demand that finally does arrive on their site?
When a prospect finally moves from the “information gathering” phase to the “evaluation” phase, your website must be ready to provide a frictionless experience. This means ensuring that your core product pages, direct competitor comparison guides, and client case studies are exceptionally clear, authoritative, and technically sound. You want to eliminate any sensory or technical friction—such as slow load times or confusing navigation—that might deter a ready-to-buy prospect who has finally decided to click. These assets are your digital sales team; they need to be optimized for conversion, clearly stating your value proposition and providing an easy path to a demo or purchase. If your top-of-funnel traffic is being handled by AI, your middle and bottom-funnel pages must be more persuasive and accessible than ever before.
What is your forecast for the future of organic search and brand visibility as we move further into 2026?
I believe we are entering an era where the “quality of attention” will matter far more than the “quantity of clicks.” Search will become even more bifurcated: AI will handle the simple, foundational questions, while human-led websites will become the destination for deep expertise, nuanced decision-making, and community-driven insights. Brands that succeed will be those that stop obsessing over being “found” for every generic term and instead focus on becoming a “destination” that users seek out by name. We will see a shift in reporting where “brand mentions” and “source citations” are treated with the same weight as website visits. Ultimately, the winners will be the organizations that can prove their value through original data and unique perspectives, as these are the only things that AI cannot simply replicate or summarize away.
