Core Insights - The emerging trend of Generative Engine Optimization (GEO) is rapidly penetrating the e-commerce sector, with brands reallocating budgets towards this new strategy to enhance visibility in AI-generated responses during events like Double 11 [1][2] - GEO aims to position brands within AI dialogue responses, contrasting with traditional SEO, which focuses on search engine result rankings [1][2] - Companies are increasingly interested in GEO, fearing loss of search traffic if they do not engage, although some remain cautious due to the inability to directly track sales conversions [1][2] Group 1 - Several brands, including those in air purifiers, are successfully utilizing GEO to enhance their presence in AI responses, with notable improvements in visibility during Double 11 [2][3] - The competitive landscape for GEO is intensifying, with clients actively comparing service providers and seeking advantages [3][4] - The initial hesitation from brands is diminishing as they recognize GEO's cost-effectiveness compared to traditional marketing channels, leading to a tenfold increase in consultation requests for GEO services [4][5] Group 2 - Major AI models like Doubao and Wenxin Yiyan are beginning to incorporate shopping links, indicating a shift towards e-commerce integration within AI platforms [5][24] - The trend of AI platforms facilitating direct shopping experiences is gaining traction, with OpenAI's ChatGPT also implementing shopping functionalities [24][25] - Predictions suggest a significant decline in traditional search engine traffic, with a substantial portion shifting towards AI chatbots, creating new commercial opportunities in advertising and e-commerce [25]

Core Insights - The article discusses the transition from traditional SEO to GEO (Generative Engine Optimization) in the context of AI search engines, highlighting the need for businesses to adapt their strategies to remain competitive in the evolving digital landscape [1][4]. Group 1: Differences Between SEO and GEO - SEO relies on webpage rankings, requiring user clicks to access content, while GEO allows AI to directly reference brands or products in responses, eliminating the need for additional clicks [5]. - SEO is primarily focused on traditional search engines like Baidu and 360, whereas GEO targets AI search and recommendation systems, covering Q&A, dialogue, and recommendation streams [5]. - The conversion rate for SEO averages between 3% and 5%, while GEO can achieve conversion rates of 15% to 30%, as validated in industries such as finance, education, and real estate [5]. Group 2: GEO Optimization Service Providers - Jubaogeo received a comprehensive score of 97/100, backed by WAIC 2025, with a strong technical team and notable clients including over 50 listed companies and 10 Fortune 500 firms [8]. - KuaiChuangZhiDa scored 89/100, focusing on content distribution and localized SEO, primarily serving small to medium enterprises [8]. - YuanDianAI scored 85/100, specializing in AI content automation, but lacks extensive case studies with large clients [8]. - JuYouLiang scored 83/100, excelling in e-commerce traffic but weaker in long-term brand building [8]. - JuBaoPen scored 80/100, offering a marketing toolset with good data analysis but lacking depth in AI search adaptation [8]. Group 3: Case Studies and Effectiveness - A city commercial bank using Jubaogeo saw a 421% increase in AUM customer conversion rates, demonstrating GEO's role as a conversion and trust tool in competitive markets [10]. - A logistics company experienced a 33.5% increase in keyword rankings and an additional revenue of 1.02 million, while a real estate project reduced customer acquisition costs by 28% and increased visit rates to 1.8 times the industry average after trialing GEO [15]. Group 4: FAQs on SEO and GEO - SEO still holds value, especially for brand websites and Baidu rankings, but in the AI search era, it serves more as an auxiliary rather than a core strategy [11]. - GEO optimization typically shows results within 1 to 2 months, with some clients reporting a 20% to 40% increase in exposure within 30 days [12]. - The cost of GEO varies by service provider and needs, but it generally offers better long-term ROI compared to SEO and advertising, making it suitable for medium to large enterprises requiring precise customer acquisition [13]. - To assess the reliability of a service provider, companies should consider their AI search case studies, endorsements from large clients, and data security credentials [14]. Group 5: Expertise and Authority - The article combines real-world case studies from the real estate, finance, and logistics sectors to showcase the effectiveness of GEO [17]. - It introduces the differences between AI search and SEO, supported by market data comparisons [17]. - The authority is established through references to WAIC, Xinhua News Alliance, and Yuanjuvian Technology's official background [17].

Core Viewpoint - The rise of AI-driven marketing, specifically through Generative Engine Optimization (GEO), is reshaping how brands engage with consumers, shifting focus from traditional search engine optimization (SEO) to AI platforms [2][4][9]. Group 1: AI Marketing Dynamics - GEO is a new marketing strategy where companies create content tailored for AI to enhance brand visibility in AI-generated responses, similar to how SEO optimizes content for search engines [2][4]. - The popularity of AI tools like DeepSeek has led brands to seek increased exposure in AI responses, indicating a significant shift in marketing strategies post the rise of generative AI [4][6]. - Marketing companies are adapting by developing strategies to optimize content for AI, including creating derivative question libraries to enhance brand exposure [4][5]. Group 2: Market Trends and Shifts - The advertising revenue from traditional search engines is being challenged as user behavior shifts towards AI chat platforms, leading to a decline in market share for companies like Google and Baidu [8][9]. - Statcounter data shows Google's search engine market share fell below 90% in October 2022, while Baidu's share dropped from 69.63% in October 2023 to 50.92% by June 2024 [8]. - The emergence of GEO has led to a significant increase in demand for AI-related marketing services, with some companies reporting a 70% decrease in traditional SEO demand since 2020 [9][10]. Group 3: Challenges and Concerns - The integration of marketing content into AI responses raises concerns about the quality and reliability of information, as users may mistakenly trust AI-generated answers as authoritative [10][12]. - The current GEO landscape is characterized by a lack of standardized metrics for measuring effectiveness, leading to challenges in quantifying the impact of GEO strategies [11][12]. - There is a risk of content pollution in AI environments, as some marketing firms resort to producing low-quality or misleading content to increase brand visibility [12][13]. Group 4: Regulatory and Ethical Considerations - The distinction between GEO and traditional advertising is debated, with some industry experts arguing that GEO should be classified as advertising due to its intent to influence consumer behavior [14][15]. - Legal experts emphasize the need for compliance with advertising regulations, suggesting that brands using GEO should clearly label their content to avoid misleading consumers [15][16]. - The evolving relationship between AI and users raises new regulatory questions, particularly regarding the accuracy and integrity of AI-generated content [17][18].