AI Search Revolution: 90% of Marketers Report Shift in Brand Discovery Habits
New Delhi, India – A groundbreaking report released by ReSO, a Generative Engine Optimization (GEO) platform, indicates that artificial intelligence is fundamentally altering how consumers search for and engage with brands online. Titled the State of Search Report, this early benchmark study highlights that AI-driven search has evolved from an experimental tool to a mainstream channel, significantly influencing buyer behavior before they even visit a website.
AI Search Gains Preference Over Traditional Methods
According to the findings, an overwhelming 80% of respondents stated that AI-generated answers feel superior to traditional Google search results due to their specificity and contextual relevance. The remaining 20% noted that the effectiveness depends on the nature of the query. This shift underscores a growing consumer reliance on AI for more nuanced and tailored information.
Swati Paliwal, Co-Founder of ReSO, emphasized the rapid adoption of AI search. "AI search has transitioned from curiosity to habit much faster than most teams anticipated," she explained. "The current challenge is not about awareness but understanding how to ensure a brand appears, gets cited, and remains memorable within these AI systems. Brands focusing solely on click optimization risk missing the broader change: buyers are now forming opinions, shortlisting vendors, and building trust prior to website visits."
Marketing Impact and Strategic Adjustments
The report reveals that 100% of marketers expect AI-generated search results to have a meaningful impact on their campaigns. Specifically, 69% believe AI will complement existing SEO strategies, while 31% anticipate significant disruption. This consensus points to an urgent need for marketing teams to adapt their approaches to leverage AI's growing influence.
Shift in Content Visibility and Performance Metrics
A deeper analysis of AI-generated responses shows a notable change in how visibility is achieved. Blogs account for 46% of all AI citations, with editorial articles and listicles contributing another 33%, meaning nearly 80% of citations stem from narrative, educational content rather than transactional pages. In contrast, product pages represent just 5.4% of citations, even when search prompts indicate evaluation or buying intent.
This shift has direct implications for performance measurement. ReSO found that click-through rates in AI-driven search experiences have plummeted to well below 1% in many categories, down from the historical 3-4% range, despite rising impressions. Described as the "crocodile mouth" effect, this trend sees visibility expanding while clicks decline. However, influence is not diminishing; data indicates that users from LLM search are three times more likely to convert than those from traditional search, suggesting stronger buyer intent in AI-assisted queries.
Fragmented AI Search Landscape
The report also highlights that AI search cannot be treated as a uniform system. Platform-level analysis by ReSO shows significant variations: ChatGPT surfaced over 3,300 unique brands across identical prompts, while Google AI Overviews cited about 1,912 and Perplexity cited about 1,845. Competitive density varied sharply, with ChatGPT mentioning roughly 16 brands per prompt, Google AI Overviews about 12, and Perplexity about 9. This creates a fragmented environment where different AI platforms surface brands in varying volumes and under distinct trust models.
Key Insights for Marketing Leaders
The full State of Search Report delves into how AI systems construct answers, differences in citation patterns by prompt intent, the outperformance of educational content over promotional pages, and the necessary rethinking of strategies as search shifts from links to synthesized answers. It serves as a critical resource for marketing leaders navigating this evolving landscape.
About ReSO: ReSO is a Generative Engine Optimization platform designed to help companies understand and enhance their presence in AI-generated search results. By tracking how brands are cited, referenced, and surfaced across large language models, ReSO provides a structured approach to influence AI visibility, generate inbound demand, and adapt to a search ecosystem increasingly dominated by answers rather than links.
