A new study examining how brands appear across eight major AI search platforms has delivered a striking wake-up call for the marketing industry: nearly 90 percent of brands have zero presence in AI-generated responses. The research, which analyzed more than 107,000 AI replies across platforms including ChatGPT, Perplexity, Gemini, Google AI Overview, Google AI Mode, Microsoft Copilot, Claude, and Meta AI, found that only 18 out of 177 brands surveyed registered any mention at all during the first quarter of 2026. This finding stands in sharp contrast to the prevailing industry narrative that the race for AI visibility is already well underway. The data suggests that for the vast majority of brands, the contest has not yet begun.
How the Study Compared Traditional Search Signals With AI Visibility
The research was designed to bridge a gap in the current understanding of AI search performance. While much of the marketing industry has been operating on assumptions about what drives visibility in AI-generated answers, concrete, cross-platform data has been scarce. To address this, the study set out to measure whether traditional search metrics—such as organic traffic and domain authority—correlate with how often a brand is named or cited by AI platforms.
The methodology unfolded in four phases. First, the research team selected a representative set of 177 brands spanning five distinct verticals: healthcare, SaaS, financial services, ecommerce and retail, and legal services. Second, they captured the AI visibility signal by submitting vertical-specific prompts to eight different AI platforms and recording two key data points for each response—whether the platform explicitly named the brand and whether it linked to the brand’s domain as a source. This process generated 107,011 individual AI responses for analysis. Third, the team pulled domain-level organic performance data from Semrush for the same 177 brands, tracking traffic trends and Authority Scores during the first quarter of 2026. Finally, they cross-referenced the two datasets, giving each brand three comparable measures: mention rate, citation rate, and Authority Score. This structure allowed the researchers to examine the relationship between traditional ranking signals and AI visibility, and to determine whether those relationships varied across different verticals.
The Decision to Track Mentions and Citations as Separate Signals
A critical design choice was to treat mention rate and citation rate as independent metrics rather than collapsing them into a single AI visibility score. This distinction proved essential for uncovering nuanced patterns. A brand could be named frequently in AI responses but rarely linked as a source, or it could be cited often as a reference without being explicitly mentioned as a brand. Tracking these two signals separately revealed dynamics that would have been obscured by a composite score, particularly when comparing performance across different industries.
Finding One: The Vast Majority of Brands Are Entirely Absent From AI Search
The most striking finding is the sheer scale of absence. Of the 177 brands in the dataset, only 18 registered any AI mention rate above zero in Q1 2026. That means 89.8 percent of the brands tested were effectively invisible across all eight AI platforms. They were not named in answers, surfaced as examples, or referenced as sources. This directly contradicts the widespread assumption that AI visibility is already a competitive battleground. For the overwhelming majority of brands, the race has not even started.
The implications are significant. Brands that choose to take AI visibility seriously today are not competing against an entire category of rivals. Instead, they face only a small handful of incumbents within their specific vertical. The window for establishing a first-mover advantage remains wide open, and the data indicates that most brands have not yet missed their opportunity.
Finding Two: AI Visibility Patterns Differ Sharply by Vertical
When the data was broken down by industry, three distinct patterns emerged, each reflecting the unique characteristics of how brands in those sectors are structured, referenced, and validated online.
Healthcare, SaaS, and Financial Services: Brands That Are Both Mentioned and Cited
Brands in healthcare, SaaS, and financial services tended to be both mentioned and cited by AI platforms, though the underlying reasons differed for each vertical. Healthcare brands benefit from clear entity identifiers—names, locations, specialties, and network affiliations—that reinforce the signals AI platforms use to evaluate expertise and authority. SaaS brands are frequently featured on third-party platforms such as G2, Reddit, and LinkedIn, where real users and reviewers discuss products. Financial services brands, meanwhile, rely on strong editorial media presence from outlets like MarketWatch, Bankrate, and NerdWallet, which AI platforms commonly turn to for financial questions.
Financial services was the only vertical where citation rates slightly exceeded mention rates, suggesting that AI platforms currently trust the content from these sources more than they trust the brand identities themselves. Across all three verticals, the common thread is that brands that appear have something AI platforms can attach a brand identity to—structured data, third-party validation, or editorial coverage. Brands that remain absent typically lack one or more of these elements.
Ecommerce and Retail: Widely Mentioned but Seldom Cited
Ecommerce brands posted the widest gap between mention rate and citation rate in the entire dataset. AI platforms recognize these brands—often because of strong marketplace presence and consumer familiarity—but they pull their source material from somewhere else. Instead of citing a brand’s own domain, AI responses tend to draw from marketplaces, aggregators, and review sites like Amazon, Reddit, and third-party review platforms. The challenge for ecommerce brands is to create content on their own domains that AI platforms find worth citing, rather than ceding that ground to external aggregators.
Legal Services: Cited as Sources but Rarely Credited as Brands
Legal services presented the inverse pattern. AI platforms regularly source content from legal websites, drawing on articles, guides, and case law explanations. However, they rarely credit the specific law firm behind the content. The gap between citation and mention indicates that AI platforms value the content itself but lack the entity signals to connect it back to a recognizable firm. Closing this gap requires law firms to build the entity markers that link their content to their brand identity, making it easier for AI platforms to attribute information to the correct source.
Additional Findings: Platform Preferences and the Role of Personalization
The research also uncovered two additional insights worth noting. First, each AI platform draws from a different set of preferred sources. ChatGPT, Perplexity, Gemini, and Copilot all show distinct preferences for specific content types and domains. Brands that understand which platforms their target audiences actually use can focus their optimization efforts more precisely rather than attempting to be visible everywhere at once.
Second, personalization may be compounding early AI visibility advantages. Google’s Personal Intelligence update pulls signals from a user’s Gmail and Photos into AI Mode responses, effectively biasing results toward brands the user has already encountered. If this effect continues to hold, brands that win a user’s first AI interaction on a given topic could compound their visibility faster than later entrants, creating a self-reinforcing cycle of familiarity and recommendation.
The Strategic Window for Brands Today
The central takeaway from this research is that the AI visibility landscape remains far more open than most marketers assume. With only 18 of 177 brands earning any mentions at all, there is substantial white space in every vertical waiting to be claimed. The brands that act now to build structured data, earn third-party validation, and create citable content will be competing against a small number of incumbents, not an entire industry. The data makes clear that the opportunity for first-mover advantage has not been lost. It is, for the vast majority of brands, still waiting to be seized.
