Core Viewpoint - The article discusses the emergence of Generative Engine Optimization (GEO) as a new marketing strategy in the AI era, highlighting its potential to influence brand visibility and user decision-making in a competitive landscape dominated by AI platforms [5][10][15]. Summary by Sections Introduction to GEO - GEO is introduced as a new marketing approach that contrasts with traditional Search Engine Optimization (SEO), focusing on enhancing brand visibility in AI-generated search results [5][7]. - The rapid rise of GEO is attributed to the "traffic war" in the previous year, leading to significant user engagement with AI-native apps, which reached 270 million monthly active users in China by March this year [5][7]. Mechanism of GEO - The article explains how brands are adapting to AI by optimizing their presence in AI-generated responses, which involves creating content that is easily referenced by AI models [10][11]. - The process includes generating AI training data and monitoring response effectiveness, with a focus on prompt optimization to ensure brand recognition in AI outputs [12][14]. Market Dynamics and Competition - The competitive landscape is characterized by brands racing to implement GEO strategies, with early adopters benefiting from higher visibility in AI responses [18]. - The article notes that the GEO market is still in its infancy, with varying quality among service providers and a lack of proven conversion rates for GEO services [18][19]. Future of GEO - The potential for GEO to evolve into a monetization model is discussed, with four proposed pathways: B2B GEO services, C2C traffic sharing, GEO analytics tools, and vertical-specific GEO solutions [22]. - The article suggests that as AI penetration increases, GEO could fill the monetization gap in AI search, similar to how traditional search engines have operated [23]. Conclusion - The article concludes that while GEO presents new opportunities for brands, it also raises concerns about the quality of information and user experience, indicating a need for balance between commercial interests and user trust [21][20].
谁在你的AI里“做广告”?
虎嗅APP·2025-09-11 13:41