AI’s Dominance in Buying Categories Remains Highly Contested, Semrush Study Reveals
A comprehensive analysis of ChatGPT’s understanding of consumer buying categories reveals a landscape far from settled, with established brands struggling to maintain a clear leadership position. The study, conducted by Semrush, found that in a significant majority of the evaluated topic categories, no single brand consistently emerges as the dominant authority. This suggests that even for well-known companies, achieving consistent visibility and recognition within AI-driven search environments remains a formidable challenge.
The Semrush research meticulously examined 1,094 U.S. consumer buying categories. To gauge brand authority within each category, the study employed five common buyer prompts: definitions, comparisons, alternatives, use cases, and purchase decisions. A brand was deemed a "category owner" only if it appeared in at least four out of the five responses for a given topic and held a lead of at least five percentage points over its closest competitor.
The findings underscore a fragmented digital landscape for brand authority in AI. Only a modest 15.2% of the examined categories met the stringent criteria for having a clear, dominant brand leader. This means that in approximately 85% of consumer buying categories, AI has not yet solidified a single brand as the definitive go-to source of information or recommendation.
Further dissecting the data, the Semrush analysis identified an additional 31.2% of categories where an "emerging leader" was present. These brands appeared in at least three of the five buyer prompts but lacked a decisive edge over their competitors. The remaining, and largest, segment – a substantial 53.7% of categories – exhibited no consistent brand leadership whatsoever, indicating a highly competitive and fluid environment where AI’s understanding is still developing.
Visibility Varies Significantly Across Buyer Questions
The research highlights a critical nuance in how brands achieve visibility within AI-generated content: appearing in one AI-generated answer does not guarantee broader category ownership. Instead, a brand’s prominence can fluctuate dramatically depending on the specific nature of the buyer’s query. This shifting visibility pattern suggests that a holistic approach to measuring performance is essential, one that considers the entire buyer’s journey rather than isolated ranking positions for individual prompts.
This phenomenon is particularly pronounced in high-demand topics, which represent the bulk of AI search activity. Among the top 50% of categories that generated the most AI search volume, only 11.3% demonstrated a clear brand owner. In contrast, less competitive categories showed slightly more stability, with 19% featuring a dominant brand. Given that the most-searched topics accounted for a staggering 98% of AI search volume in the study, the implications are clear: the majority of consumer interactions with AI are occurring in categories where no single brand has yet established consistent authority.
This fragmentation in high-demand areas presents both a challenge and an opportunity for businesses. While it signifies a lack of entrenched leaders to displace, it also means that new entrants or less established brands have a chance to build authority and capture mindshare. The ability to consistently provide valuable, accurate, and comprehensive information across a range of user intents will be crucial for establishing dominance.
Traditional SEO Explains Only Part of AI Visibility
The Semrush study also sought to understand the correlation between traditional search engine optimization (SEO) metrics and AI-driven category ownership. Researchers compared category leadership with conventional metrics such as branded search volume, organic traffic, and Authority Score.
The analysis revealed that branded search volume was the only traditional SEO metric that showed a consistent alignment with a brand’s ability to be recognized as a category owner by ChatGPT. Organic traffic and Authority Scores, while important for general search engine visibility, demonstrated a weaker relationship with a brand’s consistent association with a topic in AI responses. This suggests that while strong organic presence can contribute, it is not a direct predictor of AI category dominance.
Furthermore, the study uncovered a divergence between citation counts and brand mentions within AI responses. Only 21% of the domains most frequently cited within a category also corresponded to the brand most often mentioned by ChatGPT. This indicates that relying solely on citation metrics may provide an incomplete picture of a brand’s true visibility and influence in AI-generated content. AI models may be drawing on a broader range of information sources or prioritizing different types of content when formulating their responses, making direct correlation with traditional backlink profiles challenging.
The implication for marketers is that a multi-faceted approach to digital presence is required. While optimizing for traditional SEO remains vital, brands must also focus on creating content that is comprehensive, authoritative, and directly addresses the diverse informational needs of users throughout their buying journey. This includes understanding how AI models process information and what signals they prioritize when identifying category leaders.
Small Leads Are Easy to Lose
A crucial finding of the Semrush study pertains to the stability of category leadership. When brands managed to establish a clear and dominant position, they generally maintained it. Category leaders remained in their top position in over 90% of month-over-month comparisons, indicating a high degree of stickiness once authority is achieved.
However, the situation is starkly different for less established leaders. Across emerging and unsettled categories, the leading brand experienced significant churn, with leadership changing hands nearly 2,000 times during the study period. Categories where the lead between competitors was narrow were particularly susceptible to these shifts. This volatility underscores the competitive nature of the AI-driven information landscape and the precariousness of nascent authority.
For marketers, these findings reinforce a fundamental shift in understanding AI search visibility. It extends far beyond simply ranking for individual, isolated prompts. As consumers increasingly rely on AI to navigate complex purchasing decisions, the ability to demonstrate consistent association with an entire topic, across a spectrum of related questions, appears to be far more valuable than merely appearing in a single AI-generated answer.
The study’s conclusions have significant implications for content strategy and SEO efforts. Brands must move beyond keyword-centric approaches and focus on building topical authority. This involves creating in-depth, comprehensive content that addresses all facets of a user’s information need within a given category. This includes not only defining products or services but also comparing them, outlining alternatives, detailing use cases, and guiding purchase decisions.
The insights from Semrush suggest that the future of digital marketing will increasingly depend on understanding and adapting to how AI models interpret and present information. As AI continues to evolve and integrate more deeply into consumer decision-making processes, brands that can effectively establish and maintain a strong, consistent presence across AI-generated content will be best positioned for success. The fragmented nature of current AI category leadership presents a unique window of opportunity for agile marketers to build dominance in an evolving digital ecosystem. The full study, offering a deeper dive into these findings and methodologies, is available for review without registration, providing valuable resources for those seeking to navigate the complexities of AI-driven search.
The ownership of MarTech by Semrush, the organization behind this research, is disclosed. The publication affirms its commitment to delivering high-quality coverage of marketing topics, with the content noted as being created by employees or paid contractors of Semrush Inc. This transparency is crucial in understanding the context of the research and its potential implications for the broader marketing technology landscape. The author, Constantine von Hoffman, a senior editor at MarTech with extensive experience in business, finance, marketing, and tech journalism, brings a seasoned perspective to these evolving trends. His background, which spans traditional media, digital publications, and even creative writing, provides a unique lens through which to analyze the impact of AI on consumer behavior and brand strategy.
