AI搜索的“回答位”，正被广告涌入

Core Viewpoint - The article discusses the emergence and rapid growth of Generative Engine Optimization (GEO) as a new marketing strategy in the advertising industry, driven by the increasing influence of AI in consumer decision-making and the need for brands to be recognized by AI systems [1][5][26]. Group 1: Market Demand and Growth - The GEO market in China is estimated to be around 2.1 billion yuan this year, which is only one-tenth of the SEO market, but it is projected to grow to 24.2 billion yuan by 2027, surpassing SEO by double [1]. - Many brands are now actively seeking GEO services, asking agencies how they can outperform other GEO service providers and how quickly they can see results [1][2]. Group 2: Current State of GEO - GEO is still in its developmental stage, likened to the early chaotic days of internet marketing, with some companies generating low-quality content in bulk and others making unmeasurable promises of effectiveness [2][14]. - The operational mechanics of GEO involve embedding brand information into AI responses, contrasting with traditional SEO which focused on improving webpage rankings [5][6]. Group 3: Service Providers and Offerings - The GEO service market is divided into two main types: one offers customized services based on analyzing a company's presence on AI platforms, while the other follows a traditional SEO model charging per keyword [6][7]. - Pricing for GEO services varies significantly, with some companies charging from several thousand to tens of thousands of yuan depending on the service package [17]. Group 4: Content Optimization Strategies - Effective GEO strategies include three main content optimization tactics: semantic depth, data support, and authoritative sources [10]. - GEO service providers also focus on correcting AI-generated inaccuracies, which is becoming an essential part of their offerings [12]. Group 5: Challenges and Risks - The current GEO landscape is characterized by a lack of clear rules and standards, leading to potential "black hat" practices where low-quality content is produced to manipulate AI responses [14][18]. - The effectiveness of GEO is difficult to measure, as traditional metrics used in SEO do not apply, and many service providers rely on vague performance guarantees [15][19]. Group 6: Future Outlook - There is optimism that as AI platforms evolve, clearer regulations and standards for GEO will emerge, similar to those seen in the SEO industry [27]. - The integration of advertising into AI responses is anticipated, which could lead to a more structured commercial environment for GEO, enhancing its value and effectiveness [26][27].