Source-led article
AI Models Show Strong Preference for Familiar Brands in Search, Study Reveals
New research published by geoSurge has quantified what many digital marketers suspected: AI language models are significantly more likely to search for brands they already know. The study, which analysed 3,960 responses to 66 U.S. buyer prompts, found that models searched for familiar brands 3.2 times more often than unfamiliar ones.
The findings have direct implications for Indian businesses and digital marketers who are increasingly optimising for AI-powered search and chatbot-driven product discovery. As AI models become a primary gateway for consumer research, the data suggests an inherent advantage for established brands that already appear in a model’s training data.
How the study measured brand recall and search behaviour
Researchers at geoSurge designed the experiment to separate a model’s internal memory from its live search behaviour. They tested 66 buyer-oriented prompts 60 times each between May 29 and June 9, 2025, generating 13,281 fan-out searches and 1,416 brand-level observations.
Across all prompts, models searched for familiar brands 55.7% of the time. Brands outside each model’s top 10 most recognised names were searched only 17.4% of the time. The gap was consistent across industries, with familiar brands appearing in 41% to 82% of searches compared with 9% to 23% for unfamiliar brands. Some industry categories, however, were represented by as few as six prompts, which may affect the granularity of the results.
Memory is not the only factor in AI search
The study also found that memory does not dictate every search outcome. In one illustrative case, Google’s Gemini searched for Lemon Squeezy when answering a question about online payment providers, even though that brand was not part of Gemini’s measured memory. Researchers noted that live search can still surface unfamiliar brands, particularly in categories where models rely less on their stored knowledge.
This nuance is critical for Indian startups and smaller brands. While the data shows a strong correlation between a model’s memory and what it searches for, the relationship is not deterministic. Brands that invest in strong content and discoverability can still appear in AI search results, even if they are not among the most recognised names.
Industry implications and the ‘unfair advantage’ question
For digital marketers and SEO professionals, the study confirms a growing concern: AI models may amplify the visibility of already dominant brands. The authors of the study described familiar brands as having “an unfair advantage” before the model even begins a live search.
This is particularly relevant for India’s competitive digital economy, where thousands of startups and small businesses compete for consumer attention. If AI models consistently default to well-known names, newer entrants may find it harder to gain visibility through AI-powered discovery channels.
However, the study also suggests that strong, well-structured content can still break through. Brands that appear in authoritative sources, maintain consistent brand mentions, and produce content that aligns with common buyer queries may improve their chances of being surfaced by AI models, even if they are not yet household names.
Datos clave
| Metric | Value |
|---|---|
| Total responses analysed | 3,960 (from 66 prompts run 60 times) |
| Familiar brand search rate | 7% of searches |
| Unfamiliar brand search rate | 4% of searches |
| Familiar vs unfamiliar search ratio | 2x more likely |
What Indian marketers should watch next
The study does not prove that memory causes search behaviour, only that a relationship exists. The authors explicitly caution against inferring causation. Still, the data is a strong signal that brand awareness and digital footprint matter more than ever in an AI-mediated search environment.
For Indian businesses, the practical takeaway is twofold. First, investing in brand building and authoritative content remains essential. Second, tracking how AI models perceive and retrieve your brand should become a regular part of SEO and digital marketing strategy. Tools that measure brand visibility in AI search responses are still evolving, but the demand for them is likely to grow.