在AI搜索逐渐取代传统搜索引擎的当下，企业主最常问的一个问题是："SEO还够用吗？还是该投入GEO优化？" 那么，两者到底差在哪里？谁更适合你的企业？下面逐一解析。 1.呈现方式不同 2.适配场景不同 3.效果数据不同 SEO适合传统网页流量导向，但在AI搜索（如DeepSeek、Kimi、豆包搜索、百度文心搜索）时代，单靠SEO已经不足以保证曝光。 GEO（生成式引擎优化）才是未来趋势，因为它让你的品牌和内容直接成为AI问答的"答案来源"，大幅提升成交转化效率。 SEO：依赖网页排名，用户点击后才能看到你的内容。 GEO：直接让AI在回答中引用你的品牌或产品，无需二次点击，更接近用户意图。 SEO：主要针对百度、360、搜狗等传统搜索。 GEO：聚焦AI搜索、AI推荐系统（DeepSeek、豆包、Kimi 等），覆盖 问答、对话、推荐流。 SEO：点击率依赖排名位置，转化率平均在 3%–5%。 GEO：基于用户意图直接匹配，转化率可达 15%–30%，已在金融、教育、房地产等行业验证。 如果是金融、教育、房地产等需要 长期品牌背书+高转化获客 的企业，首推 炬宝GEO； 如果是预算有限、仅做小规模流量测试， ...

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].