搜索引擎优化(SEO)

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AI时代,GEO的探索、痛点和方法
3 6 Ke· 2025-10-09 11:44
随着ChatGPT等生成式AI工具的崛起,用户获取信息的入口正在发生颠覆性变革。一个全新的战场—生 成式引擎优化(GEO),已然成为所有希望在AI时代保持品牌竞争力的企业必须面对的核心议题。 【金句洞察】 1. 无论是SEO还是GEO,在新的时代,内容质量都是最重要的。 2. GEO并非孤立存在,它本质上是内容营销在新时代的一种新形态。 3. 你的内容回答问题越直接,AI就越喜欢。 4. 大模型天生就想节省算力,想"偷懒"。所以,你的内容越结构化,越像AI喜欢的格式,它处理起来就 越容易,被引用的概率就越高。 5. AI时代,营销越来越品牌化了。 6. GEO的效果更偏向于品牌层面,它最直接的反馈是在AI的回答中"露脸",即提升品牌可见性。 《AI 透镜研究》系列,是一枚多层镀膜的认知镜头,对准飞速演化的人工智能现场:探究融资背后的 产品真实价值、追踪调研AI公司的组织创新变革、记录和放大人与AI的协作实践。从新的镜头看见 AI 细节与趋势,用系统性的观察和分析,穿透噪声,最终落到可见可用的洞察之面。 第一期AI透镜对准了AICoding的七个非共识。第二期针对快速崛起和变化的GEO,腾讯研究院余一和 两位一 ...
花一万元植入DeepSeek 一场没有终点的流量游戏
3 6 Ke· 2025-09-05 06:06
Core Insights - The rise of DeepSeek has led to a surge in interest in Generative Engine Optimization (GEO), a new form of search engine optimization aimed at influencing AI-generated answers to increase product visibility [1][2][3] - The GEO market is rapidly becoming competitive, with a significant increase in service providers, estimated to be between 500 to 1,000, many of whom are transitioning from traditional SEO and PR agencies [2][3] - The traditional growth methods are becoming less effective, prompting brands to explore GEO as a new avenue for traffic generation [2][3] GEO Market Dynamics - The cost for GEO services ranges from thousands to tens of thousands of yuan, depending on the number of keywords or questions [5] - The operational process for GEO is standardized, requiring clients to provide company information and product highlights, which service providers use to create tailored content [5] - The effectiveness of GEO is influenced by the AI models' preferences for content sources, necessitating a nuanced approach to content creation [8][9] Challenges and Limitations - The optimization for AI-generated answers is complicated by the opaque nature of AI algorithms, making it difficult to measure the effectiveness of GEO efforts [9][11] - Many service providers express concerns about the unpredictability of AI search results, which can vary based on multiple factors such as user context and query timing [11] - The current GEO landscape is characterized by a lack of quantifiable results, leading to skepticism about its effectiveness compared to traditional SEO [12][22] Future Outlook - Despite the challenges, there remains a short-term opportunity for brands that have not previously engaged in online marketing, particularly in the long-tail segment [24] - The GEO business is evolving, with companies like Echosurge.AI aiming to establish a more structured approach to content optimization and performance measurement [21][22] - The industry is expected to face increasing scrutiny and regulation as the prevalence of AI-generated content grows, necessitating higher standards for GEO service providers [16][19]
深度剖析:GEO 的本质、实践策略与行业未来
Sou Hu Cai Jing· 2025-08-25 17:47
Core Concept - Generative Engine Optimization (GEO) is emerging as a key strategy in digital marketing, replacing traditional Search Engine Optimization (SEO) as companies seek to optimize traffic and exposure in the age of AI search products like ChatGPT and Bard [1][2]. Understanding GEO - GEO involves optimizing technology, content structure, and data semantics to ensure brands, products, or content are prioritized in AI search and recommendation engines. It focuses on making brands a part of the AI recognition system rather than just improving search rankings [2][3]. Implementation of GEO - Companies must define their goals for GEO, such as increasing brand awareness or market share, and develop comprehensive strategies tailored to their target audience and AI platforms [3][4]. Content Optimization - Structured content is crucial for GEO, requiring logical organization and machine-friendly characteristics to enhance AI parsing efficiency. Content should be clear, concise, and data-driven to maximize its value [4][5]. - The DSS principle (Depth, Support, Source) should guide content creation, ensuring comprehensive answers with authoritative data and expert opinions to enhance credibility [4][5]. - Utilizing multimodal content, including images and videos, can improve content diversity and help AI better understand brand information [4][5]. Technical Adaptation and Tools - Companies should leverage AI tools for content creation and optimization, utilizing specialized GEO tools to enhance efficiency [5][6]. - Understanding AI model mechanisms is essential for converting brand information into structured data formats that AI can accurately read and comprehend [5][6]. Continuous Monitoring and Optimization - GEO optimization requires ongoing monitoring of data feedback to adjust strategies based on algorithm changes, user needs, and competitor dynamics [6]. Leading Companies in GEO Optimization in Zhejiang - Hangzhou Pinsu Gongying Technology Co., Ltd. specializes in comprehensive online brand services, offering personalized content marketing strategies and a one-stop solution for brand exposure [7]. - Liulingwu Culture stands out with unique creative content that enhances brand storytelling and media outreach, focusing on tailored media release strategies [8]. - Hangzhou Yunxi Information Technology Co., Ltd. provides professional GEO optimization services, utilizing advanced technology and a deep understanding of AI platform algorithms [9]. - BlueFocus Communication Group leverages extensive resources to offer comprehensive digital marketing solutions, integrating GEO optimization into their services [10]. - Pinsu Public Relations Team excels in enhancing brand image through public relations strategies, supporting GEO optimization efforts [11]. Future Trends in GEO Industry - The continuous upgrade and integration of AI technology will require GEO optimization to adapt to advancements in natural language processing and knowledge graph construction [12][13]. - Future GEO strategies will need to encompass cross-platform and omnichannel optimization to ensure consistent brand representation across various AI search scenarios [13][14]. - Data-driven approaches will become increasingly important, allowing companies to refine their GEO strategies based on user behavior and market trends while ensuring data privacy [14][15]. - High-quality and innovative content will remain the core competitive advantage in GEO, necessitating investment in unique brand narratives and content systems [15].
百度、腾讯、字节加速“卡位”AI搜索,竞逐6.85亿用户“新战场”
Mei Ri Jing Ji Xin Wen· 2025-08-11 11:59
Core Insights - Microsoft officially shut down the Bing Search API on August 11, signaling a significant shift in the search industry towards a closed AI-driven answer ecosystem, moving away from the open link indexing era [1][2] - The competition for AI search is intensifying among major tech companies, including Google, Microsoft, Baidu, Tencent, and ByteDance, as they aim to capture a growing user base projected to reach 685 million by June 2025 in China [1][3] Industry Dynamics - The closure of the Bing API disrupts many small search services and tools that relied on Bing data, indicating a fundamental change in the search engine's competitive landscape [2] - The new model introduced by Microsoft limits developers' access to structured search result data, providing only AI-generated answers, which reflects a broader trend towards AI-driven search solutions [2][3] User Growth and Market Potential - According to QuestMobile, the monthly active user base for AI search engines in China is expected to reach 685 million by June 2025, highlighting the immense potential of this market [1][5] - Baidu's AI search, powered by its Wenxin Yiyan model, has already achieved 322 million monthly active users, indicating strong user engagement and the potential for significant commercial growth [5] Advertising and Revenue Models - The shift towards AI search is also transforming advertising strategies, with companies like Google and Microsoft integrating ads directly into AI-generated answers, creating new opportunities for user engagement and conversion [3][4] - Baidu is enhancing its advertising capabilities by embedding AI summaries in search results and improving ad relevance and conversion rates through advanced model integration [5] Emerging Trends in Optimization - Generative Engine Optimization (GEO) is emerging as a new focus for brands, shifting the emphasis from traditional SEO to ensuring that brand information is selected by AI for inclusion in comprehensive answers [7][8] - The market for GEO is projected to reach a scale of billions in China by 2027, driven by changing user preferences and evolving advertising logic [8] Challenges and Future Outlook - Despite the rapid growth of GEO, traditional SEO remains the dominant channel for traffic, suggesting that companies should integrate both strategies for optimal results [9] - The effectiveness of GEO is still under evaluation, with some experts cautioning that it is in the experimental stage, similar to early SEO practices [9][10]
揭秘操纵AI生成答案灰色产业链
第一财经· 2025-07-24 16:06
Core Viewpoint - The rise of AI-driven marketing, specifically through Generative Engine Optimization (GEO), is reshaping how brands engage with consumers and how marketing strategies are developed, moving focus from traditional search engine optimization (SEO) to AI platforms [2][4][9]. Group 1: Marketing Strategies - GEO is a new marketing approach where advertising companies create and adjust content to be easily captured by AI chat software, similar to how SEO optimizes content for search engines [2][5]. - Brands are increasingly interested in having their products featured in AI responses, especially after the popularity of AI tools like DeepSeek [4][6]. - The process of GEO involves understanding AI's logic, creating a question bank, and optimizing content to enhance brand visibility in AI-generated answers [4][5]. Group 2: Industry Changes - The shift towards AI platforms has led to a decline in traditional search engine traffic, with Google and Baidu experiencing drops in market share [8][9]. - As AI tools gain traction, companies are reallocating budgets from SEO to GEO, with some brands reporting a significant increase in GEO-related inquiries [6][9]. - The demand for GEO services is growing, with various pricing models emerging, ranging from a few thousand to several hundred thousand yuan annually [6][8]. Group 3: Trust and Content Quality - Users generally trust AI-generated answers, but there are concerns about the quality and accuracy of the content being promoted through GEO, as it may include biased or misleading information [10][12]. - The lack of tools to measure the effectiveness of GEO compared to SEO poses challenges for brands in assessing the return on investment [11][12]. - The proliferation of low-quality content aimed at manipulating AI responses could lead to a degradation of trust in AI platforms [12][18]. Group 4: Regulatory and Ethical Considerations - There is an ongoing debate about whether GEO should be classified as advertising, with differing opinions on its compliance with advertising laws [14][15]. - The potential for misleading AI-generated content raises ethical concerns, particularly regarding consumer trust and the accuracy of information presented [15][17]. - As AI platforms evolve, there may be a need for clearer regulations to ensure transparency and accountability in AI-generated marketing content [17][18].
AI对话框正在涌入“广告”
Di Yi Cai Jing· 2025-07-24 04:19
Core Viewpoint - The rise of AI chat software is shifting brand marketing focus from traditional search engines to AI platforms, leading to the emergence of a new marketing strategy known as GEO (Generative Engine Optimization) [2][8][9] Group 1: Marketing Shift - Brands are increasingly interested in AI chat software due to its significant traffic, especially after the popularity of platforms like DeepSeek [1][4] - The concept of GEO is derived from SEO (Search Engine Optimization), where marketing companies adjust content to be more easily captured by AI [2][5] - Marketing companies are now tasked with optimizing content for AI platforms, which involves understanding AI's logic and user behavior [4][5] Group 2: Industry Dynamics - The advertising revenue from search engines is being challenged as user traffic shifts to AI chat platforms, with Google and Baidu experiencing market share declines [8][9] - In the first quarter of 2025, Google's advertising revenue was $66.89 billion, while Baidu's online marketing revenue was 16 billion yuan, indicating a competitive landscape [8] - The emergence of GEO has led to a significant increase in demand for AI-related marketing services, with some companies reporting a fivefold increase in GEO orders compared to traditional SEO [7][9] Group 3: Trust and Content Quality - Users tend to trust AI-generated answers, often perceiving them as authoritative, which presents both opportunities and challenges for brands [11][12] - There is a concern about the quality of content being generated for AI, with some marketing companies producing low-quality or misleading articles to increase visibility [12][13] - The lack of tools to measure the effectiveness of GEO compared to SEO poses challenges for brands in quantifying their marketing efforts [10][12] Group 4: Regulatory and Ethical Considerations - The blurred lines between advertising and content marketing in the context of GEO raise questions about compliance with advertising laws and consumer rights [15][16] - There is a growing need for regulations to ensure that AI-generated content does not mislead consumers, as the trust in AI could be compromised by poor-quality marketing practices [17][18] - The industry is contemplating how to balance commercialization of AI platforms with user experience, as well as the implications of personalized AI responses for marketing strategies [18]
AI搜索的“回答位”,正被广告涌入
2 1 Shi Ji Jing Ji Bao Dao· 2025-07-09 22:19
Core Insights - The rise of Generative Engine Optimization (GEO) as a new marketing strategy has gained significant traction since the popularity of DeepSeek, with brands increasingly inquiring about GEO services and their effectiveness [1][2][3] - GEO aims to enhance a brand's visibility in AI-generated responses by creating content that aligns with AI preferences, contrasting with the more established Search Engine Optimization (SEO) market, which is valued at nearly $90 billion [1][2][3] - The GEO market is still in its infancy, characterized by a lack of standardized practices and a mix of service quality, leading to a chaotic environment reminiscent of the early days of internet marketing [1][8][19] Market Demand and Growth - The demand for GEO services has surged, with many brands seeking to understand how to optimize their presence in AI responses, indicating a shift in consumer decision-making influenced by AI [2][4] - The market has seen a rapid influx of GEO service providers, with offerings ranging from customized services to traditional SEO-style keyword-based pricing [5][6][12] - The potential for GEO to become a primary marketing strategy for consumer brands is evident, as many companies are now focusing on AI chat interfaces for customer engagement [5][6] Operational Mechanisms - GEO operates by embedding brand information into AI platforms like ChatGPT and DeepSeek, aiming to be included in AI-generated answers to user queries [2][4] - Successful GEO strategies involve understanding AI content preferences, which can influence the output of AI responses, as highlighted by a study from the Indian Institute of Technology [6][12] - Content optimization strategies include semantic depth, data support, and authoritative sources, with a focus on content distribution across frequently cited websites [6][7] Challenges and Concerns - The unpredictable nature of AI responses poses challenges for GEO service providers, as the effectiveness of their strategies can vary significantly [9][10] - The industry faces issues with "black hat" practices, where low-quality content is produced to manipulate AI responses, raising concerns about content integrity and user experience [11][12] - The lack of clear metrics for success in GEO makes it difficult for companies to measure the effectiveness of their campaigns, leading to potential misunderstandings between service providers and clients [9][10] Future Outlook - There is optimism that as the AI ecosystem matures, clearer regulations and standards for GEO will emerge, similar to the evolution of SEO [19] - The integration of advertising into AI responses is anticipated, which could lead to more structured commercial rules and better measurement tools for marketing effectiveness [18][19] - Companies are preparing for a future where AI marketing becomes more sophisticated, moving beyond simple keyword matching to understanding user intent [18][19]
厦门SEO培训:掌握搜索引擎优化技巧,提升网站排名
Sou Hu Cai Jing· 2025-06-18 14:19
Core Insights - The article emphasizes the growing importance of SEO training in Xiamen as more businesses focus on online promotion in the digital age [1][3]. Group 1: Core Content of Xiamen SEO Training - The training will cover essential SEO topics such as keyword research, website structure optimization, and content optimization [4]. - Keyword research is highlighted as the foundation of SEO, teaching participants how to analyze and select relevant keywords with high search volumes [5]. - Website structure optimization is crucial for user experience and search engine efficiency, with detailed guidance on URL design, navigation menus, and internal linking [6]. - Content optimization is essential for attracting and retaining users, focusing on high-quality article writing, title design, keyword placement, and multimedia elements [9]. Group 2: Practical Case Studies in Xiamen SEO Training - Successful SEO case studies will be analyzed to understand how keyword, structure, and content optimization lead to improved rankings [10]. - Failed SEO case studies will also be reviewed to identify common pitfalls and learn how to avoid similar mistakes [10]. - The training will address industry trends and algorithm updates to keep SEO strategies current [12]. - User behavior analysis will be taught to enhance keyword selection and content creation strategies [12]. Group 3: Recommendations and Insights from Xiamen SEO Training - Continuous learning and practice are essential in the SEO field, encouraging participants to stay updated on industry trends and algorithm changes [12]. - Team collaboration and communication are vital for successful SEO projects, with strategies for effective teamwork being emphasized [12]. - The selection of appropriate tools and resources can significantly enhance efficiency in SEO work [12]. - Patience and perseverance are necessary traits for success in SEO, with encouragement to maintain a positive mindset [12]. Group 4: Target Audience and Preparation for Xiamen SEO Training - The training is suitable for business owners, website administrators, and marketing professionals looking to improve website rankings and traffic [13]. - Participants are advised to have a basic understanding of SEO and prepare necessary materials for practical exercises [15].
喝点VC|a16z谈搜索大变局:搜索迈入由语言模型主导的“生成式引擎优化(GEO)”全新范式
Z Potentials· 2025-06-12 04:24
Core Insights - The article discusses the transition from traditional Search Engine Optimization (SEO) to Generative Engine Optimization (GEO), highlighting the impact of large language models (LLMs) on search behavior and marketing strategies [3][5][21] - It emphasizes that the SEO market, valued at over $80 billion, is facing challenges as search behavior shifts from browsers to LLM platforms, fundamentally altering how exposure and content optimization are defined [3][5][9] Transition from Links to Language Models - Traditional search relied on link-based ranking, while GEO focuses on language and direct answers generated by models [4][5] - The average query length has increased significantly to 23 words, compared to just 4 words in traditional searches, indicating deeper user engagement [4] - LLMs provide personalized responses through memory and reasoning capabilities, changing the content discovery and optimization logic [4][5] New Metrics and Competitive Focus - The focus of competition has shifted from click-through rates to "model citation rates," where brands need to be encoded into AI layers to build new competitive barriers [5][12] - Emerging platforms like Profound and Goodie help brands analyze their presence in AI-generated answers and track sentiment in model outputs [12][13] Brand Strategy Evolution - A new brand strategy is emerging that prioritizes model recognition over public recognition, with "unprompted awareness" becoming a key metric in the AI era [12][14] - Tools like Ahrefs' Brand Radar and Semrush's AI toolkit are adapting to help brands monitor their visibility and mentions in generative platforms [13][14] The Rise of GEO Tools - GEO tools are not just about data measurement but also about actively shaping LLM behavior through insights and iterative feedback loops [20] - Companies that excel in GEO will create actionable infrastructures for real-time marketing activities and content optimization [20][21] Timing and Market Dynamics - The article notes that the transition to GEO is still in its early stages, with significant opportunities for brands to adapt as advertising budgets shift rapidly [21][22] - The ultimate question for marketers in the AI-driven landscape is whether models will remember their brands [22]
SEO杭州:如何在竞争激烈的市场中脱颖而出?
Sou Hu Cai Jing· 2025-06-09 02:14
Core Insights - The article emphasizes the importance of effective Search Engine Optimization (SEO) strategies in the competitive landscape of Hangzhou's internet market, highlighting that SEO is both a technical skill and an art form that requires continuous exploration and practice [1][4]. Group 1: Understanding the Unique SEO Market in Hangzhou - The rapid growth of e-commerce, internet finance, and cultural creativity in Hangzhou has led to a high volume of websites, making SEO competition particularly fierce [2]. - Users in Hangzhou tend to search for localized service information, necessitating the integration of regional keywords to enhance local visibility [2][11]. Group 2: Key Elements of SEO Strategy in Hangzhou - SEO strategies must focus on website structure, content quality, and external link building to achieve favorable search engine rankings [6]. - A clear and simple website structure improves search engine crawling and enhances user experience, which is crucial for ranking [7]. - High-quality content that meets user needs and industry trends is essential for attracting and retaining users [7]. - Building high-quality external links through partnerships with local reputable websites and industry forums can significantly boost website authority [8]. Group 3: Practical SEO Techniques and Case Studies - Utilizing long-tail keywords can help drive traffic in a competitive market by targeting less competitive yet relevant search terms [9]. - A local business successfully established a localized brand by optimizing regional keywords and publishing localized content, demonstrating the effectiveness of local strategies [9]. - Data analysis plays a critical role in optimizing SEO strategies by providing insights into user behavior and search engine preferences [9]. - Continuous optimization and iteration of SEO strategies are necessary to maintain competitiveness in Hangzhou's dynamic market [9]. Group 4: Addressing Common SEO Questions - Choosing appropriate keywords in Hangzhou involves understanding user search habits and industry trends, with a focus on regional keywords for local exposure [11]. - Enhancing website authority in Hangzhou can be achieved through optimizing website structure, creating high-quality content, building quality external links, and focusing on mobile optimization [12]. - In the event of malicious attacks from competitors, it is important to remain calm, ensure compliance with legal standards, and seek legal assistance if necessary [12]. - Evaluating the effectiveness of SEO strategies can be done by analyzing website traffic, keyword rankings, and conversion rates, along with user feedback [12]. Conclusion - Mastering core SEO elements, applying practical techniques, and continuously optimizing strategies are essential for success in Hangzhou's competitive SEO landscape [13].