Milena Traikovich is a powerhouse in demand generation, known for transforming complex data into high-performing lead-nurturing strategies that bridge the gap between initial curiosity and final purchase. As search behavior shifts from traditional engines to AI-driven conversations, her insights into how brands can claim their territory in ChatGPT responses have become essential for any business looking to navigate this digital evolution. In this discussion, we explore the fragmentation of brand visibility in AI-generated answers, the surprising disconnect between traditional SEO metrics and AI preference, and why capturing the entire buyer journey is now more critical than simply ranking for a single keyword.
How do you interpret the fact that only about fifteen percent of market categories have a dominant brand in AI-generated responses?
This data is a startling wake-up call for any marketer who thinks they have already secured their digital territory. When you realize that out of one thousand ninety-four U.S. categories analyzed, only fifteen point two percent have a clear brand leader, you start to feel the sheer weight of the opportunity that is still up for grabs. It feels like a digital gold rush where the fences have not been built yet, creating a high-stakes environment where even the most established giants can be unseated by a more agile competitor. With fifty-three point seven percent of categories showing no consistent leader at all, the landscape is wide open for those who can figure out how to resonate with AI models before the market matures.
Why is it so much harder for brands to achieve dominance in high-search-volume categories compared to more niche markets?
High-demand topics are the ultimate battlegrounds where the competition is most visceral and the results are incredibly unsettled. It is staggering to think that while these top-tier categories account for a massive ninety-eight percent of all AI search volume, only eleven point three percent of them have managed to crown a definitive brand owner. In contrast, the quieter, less competitive niches show a bit more stability with a nineteen percent ownership rate, likely because there is less digital noise to confuse the AI’s synthesis. For a marketer, this means that the more eyes there are on a topic, the harder you have to fight to be the name that the model consistently associates with the solution.
If traditional metrics like Authority Score and organic traffic do not correlate with AI visibility, what should marketers be measuring instead?
We have spent decades obsessing over Authority Scores and raw traffic counts, but this study proves those numbers are becoming less relevant in the age of generative AI. The real shocker is that branded search volume was the only metric that consistently aligned with category ownership, which forces us to rethink our entire measurement framework. It is jarring to see that organic traffic and high authority scores have almost no relationship with whether ChatGPT highlights your brand, making those old benchmarks feel like relics of a different era. To win here, you have to move past the vanity of raw clicks and focus on building a brand identity so strong that people are actually typing your name into search bars.
The study used five specific types of prompts to define leadership—what does this tell us about how buyers are actually using AI?
This methodology proves that AI is not just a replacement for a search engine; it is a partner in the entire buyer journey, from the initial “what is this?” to the final “which one should I buy?” By testing across definitions, comparisons, alternatives, use cases, and purchase decisions, we see that a brand has to be present in every phase to be considered a category owner. To meet that standard, a brand has to appear in at least four out of those five responses and lead the next closest competitor by at least five percentage points. It is no longer enough to win a single “best of” list; you have to be the answer to the “how do I use this?” and “what else is like this?” questions to truly dominate the conversation.
Once a brand finally secures a lead in an AI category, how stable is that position in the long run?
There is a fascinating paradox in the data where the top of the mountain is stable, but the slopes are pure chaos. If you can claw your way to that number one spot and establish a clear lead, you are looking at a ninety percent chance of staying there month-over-month, which provides a massive sense of security. However, for those “emerging” brands that are only appearing in three out of five prompts, the ground is constantly shifting, with leadership changing nearly two thousand times during the study period. It shows that until you have a decisive gap between you and the competition, your visibility is incredibly fragile and can be wiped away by a single model update or a competitor’s push.
How does the gap between citations and brand mentions change the way we should think about content authority?
This is perhaps the most frustrating reality for content creators: being the source of the information does not mean you get the credit for the brand. The fact that only twenty-one percent of the most-cited domains were also the most-mentioned brands shows a massive disconnect in how AI attributes value and authority. You can provide the deep data that fuels the answer, but if the AI does not explicitly name your brand as the leader, you are essentially ghostwriting for your competitors. We need to stop focusing solely on getting a link in the citations and start focusing on making our brand name synonymous with the topic itself within the actual narrative of the response.
What is your forecast for brand ownership in AI search?
I expect the window of opportunity to close rapidly as more companies move away from traditional SEO and begin optimizing specifically for model associations. We will likely see the currently unsettled fifty-three point seven percent of categories begin to consolidate as brands realize that branded search volume is the key lever to pull. As AI search moves from a novelty to a primary search habit, those who fail to establish ownership across all five stages of the buyer journey will find themselves completely invisible in a world where the “ten blue links” are a thing of the past. Success will belong to those who treat AI visibility as a holistic brand-building exercise rather than a series of isolated technical hacks.
