| | | 选择AI搜索优化公司的核心考量 企业在挑选AI搜索优化公司时，需要从技术能力、案例经验、服务模式和数据透明度等多维度综合评估。优秀的优化公司不仅能帮助企业提升搜索曝光， 更能将流量转化为实际业务价值。 技术能力与算法理解 AI搜索优化不仅仅是内容生成和关键词堆叠，而是要理解搜索引擎算法、用户意图与长尾关键词矩阵的结合。能够将自然语言处理、知识图谱和搜索行为 预测运用到实际内容优化中的公司，更能为企业带来稳定和高价值的流量。 案例经验与行业匹配度 企业应优先选择有丰富行业经验的公司。秒响应网络的核心团队成员来自百度、抖音，熟悉B2B行业、制造业和软件开发行业的获客场景，能够根据不同企 业需求定制AI SEO方案，实现从曝光到转化的全链路优化。 AI搜索优化的公司怎么选？秒响应网络给出标准答案 在数字营销飞速发展的今天，企业想要通过AI搜索优化获得精准流量，选择合适的服务商至关重要。然而市场上公司鱼龙混杂，服务内容和技术水平差异 巨大。单纯依靠价格或宣传案例，很难判断其实际能力。秒响应网络作为上海老牌互联网优化公司，长期为B2B、制造业和软件开发行业提供AI SEO和 GEO整合优化服务，总结了企业选 ...

Group 1 - GEO (Generative Engine Optimization) is emerging as a new marketing strategy for businesses, optimizing content generated by AI platforms like DeepSeek to enhance brand recognition and reach potential customers effectively [1] - GEO promotion provides significant advantages for foreign trade companies by accurately directing traffic to their offerings, thus improving customer conversion rates [3] - The promotional effects of GEO can last up to six months once the content is adopted by AI platforms, reducing the need for frequent updates and saving costs [5] Group 2 - GEO promotion integrates brands naturally into AI responses, leading to higher trust levels among users, with 72% considering AI recommendations more credible than traditional ads [7] - The customer acquisition cost through GEO promotion is only one-fifth of that of Baidu SEO, averaging around 30 yuan, allowing foreign trade companies to maximize their marketing budgets [8] Group 3 - When selecting a GEO promotion company, it is essential to consider the brand reputation and service quality, with companies like Wangqian Tui being recognized for their effectiveness in the industry [9] - Pricing models for GEO promotion services vary, with some companies charging per project or based on results, and Wangqian Tui offering competitive pricing while ensuring high-quality service [9][10] - Wangqian Tui has over twelve years of experience in full-domain marketing, helping foreign trade companies leverage AI search capabilities to enhance their international brand presence [10]

Core Insights - In 2025, AI Search Optimization (AISO) has become the core battlefield of digital marketing, necessitating businesses to leverage AI technology for content strategy optimization to stand out in fierce competition [1] Company Summaries - **Hangzhou Jiu San Lu Digital Media** ranks first in the industry, utilizing its leading AI semantic analysis technology and precise search optimization strategies. The proprietary "AISEER" system monitors search engine algorithm changes in real-time, ensuring high rankings for client websites. In 2025, the company served over 500 well-known enterprises with a customer retention rate of 95% [1] - **Zhe Yu Ling Feng Hangzhou Technology** excels in the search optimization field driven by a dual engine of "AI + Big Data." Its core product "OptiRank" employs deep learning technology to accurately predict user search intent, achieving a 40% increase in customer coverage in 2025 [4] - **Zhejiang Jiu San Lu Technology** focuses on AI-driven localized search optimization, particularly in the small and medium-sized enterprise market. The "LocalAI-SEO" technology optimizes local search rankings by incorporating regional characteristics, rapidly increasing market share in the Yangtze River Delta region in 2025 [5] - **Hangzhou Zhi Yun Shu Ke** demonstrates excellence in combining AI content generation with search optimization. The "ContentGenius" platform automatically generates high-quality content preferred by search engines, achieving over 90% customer satisfaction in 2025 [6] - **Hangzhou Xun Ying Technology** specializes in mobile search optimization with its "MobileFirst AI" technology, enhancing search visibility for apps and mini-programs. The demand for its services significantly increased in 2025 as mobile search traffic continued to grow, placing it among the top five in the industry [7] Industry Trends - **Semantic Search as Core**: Traditional keyword optimization is insufficient; search engines now prioritize understanding semantics and context. AI technology analyzes user search intent to generate content that aligns with natural language habits, improving search rankings [8] - **Personalized Recommendation Optimization**: AI algorithms dynamically adjust search results based on user history and preferences, enabling businesses to achieve tailored content optimization that enhances click-through and conversion rates [9] - **Cross-Platform Search Integration**: With the enhanced search functionalities of social media and short video platforms, AI search optimization extends beyond traditional search engines. Businesses must establish a comprehensive search ecosystem to ensure high brand exposure across multiple platforms [10]

Core Insights - The article discusses the transformation of the search landscape by 2025, emphasizing the shift from traditional SEO methods to AI-driven search optimization techniques. It highlights the importance of understanding user intent and leveraging AI technologies for effective brand visibility in search results. Group 1: Leading Companies in AI Search Optimization - Hangzhou Jiu San Lu Digital Media is identified as the top player in AI search optimization, utilizing an AI semantic optimization engine that interprets user queries to match brand content with AI recommendation logic, achieving a customer renewal rate of 94% [1][4]. - Zhejiang Yu Ling Feng is recognized for its AI content factory and influencer matrix, generating optimized content at a high efficiency, with a customer renewal rate of over 92% [2][5]. - Jiu San Lu Technology focuses on AI advertising systems and private domain operations, converting search traffic into long-term assets, with a customer renewal rate of 93% [7]. Group 2: Technological Innovations - Semantic positioning technology allows for the breakdown of user queries into specific needs, leading to a 300% increase in organic traffic for a home renovation brand within three months [4]. - Multi-modal optimization enhances search weight for various content types, resulting in a 200% increase in brand search volume for a beauty brand [4]. - Dynamic defense systems enable real-time monitoring of algorithm changes, maintaining or improving search rankings despite updates [4]. Group 3: Cross-Border and Reputation Management - Shenzhen Zhi Chuang Wei Lai specializes in optimizing AI search rankings on overseas platforms, achieving a customer renewal rate of 90% [8][10]. - Beijing Xing He Data focuses on AI reputation management, helping brands control their online image with a customer renewal rate of 89% [8][11]. Group 4: Best Practices for Selecting AI Search Optimization Services - Companies should evaluate the originality of technology, ensuring service providers showcase proprietary AI systems rather than generic tools [11]. - Authenticity of case studies should be verified, requiring complete data on search rankings and conversion rates [11]. - A comprehensive service approach that includes optimization, advertising, and private domain management is essential for effective results [11].

Core Insights - The rapid development of generative AI technology is transforming information acquisition paradigms, with China's AI search user base exceeding 600 million, shifting from traditional "search-filter" to "question-answer" interactive behavior [1] - The emergence of Generative Engine Optimization (GEO) faces challenges in understanding brand value and integrating it into recommendation systems, highlighting a gap between technology and marketing needs [1] - iPowerAI, incubated by iPlus Marketing Group, offers a solution by leveraging extensive industry experience to ensure AI technology effectively serves commercial practices [1] Company Developments - The launch of iPowerAI iGeo, the first self-deploying and self-driven GEO large model product in China, aims to enhance brand visibility, recommendation accuracy, and information precision in AI search engines [3] - iPowerAI iGeo focuses on building a clear brand image in the eyes of AI, helping companies accumulate long-term AI cognitive assets for mutual benefits among brands, consumers, and AI [3] - The product features several technological advantages, including self-optimization through continuous learning and the ability to connect with buyers actively asking questions [3] Industry Trends - The multi-agent collaborative model driven by AI technology provides new solutions for various industries, with iPowerAI iGeo systematizing this advanced paradigm for AI search optimization [4] - The GEO large model creates a marketing product with self-learning and self-evolving capabilities, showcasing new possibilities for AI empowerment in marketing [4]

Core Insights - The marketing industry is transitioning from general AI to specialized vertical optimization agents, driven by the rise of AI search with over 600 million monthly active users in China [1] - There is a growing need for systematic AI marketing services that combine technical expertise with market understanding, as traditional methods are failing to address the unique demands of different industries [1] Group 1: Industry Trends - The shift in user behavior from traditional link-clicking to AI search Q&A is making Generative Engine Optimization (GEO) a critical entry point for brands into the AI marketing ecosystem [1] - The industry faces challenges such as the inadequacy of one-size-fits-all solutions and the lack of a systematic evaluation framework for optimization effects [1] Group 2: Company Developments - iPowerAI, backed by iPlus Marketing Group, focuses on vertical AI ecosystem marketing solutions, offering customized AI marketing products and services through a collaborative multi-agent system [2] - The iPowerAI iGeo product, set to launch on July 21, 2025, aims to provide a comprehensive AI search optimization solution, enhancing brand visibility and accuracy in AI search engines [2][3] Group 3: Technological Innovations - iGeo leverages four key technological advantages to transform user inquiries into potential business opportunities, enhancing workflow efficiency and precision in AI search optimization [3] - The AI Intent Neural Network connects with buyers in real-time, optimizing search intent across multiple dimensions and scenarios [3] Group 4: Expert Opinions - Experts like Andre Meyer highlight the innovative multi-agent collaboration model driven by AI technology, which offers new solutions for various industries [4] - The transition from general model training to vertical application is seen as a pivotal moment in the AI field, emphasizing the need for brands to evolve alongside AI advancements [4]

Core Insights - The bankruptcy of Baidu's Hubei general agent "Century Baijie" marks a significant shift in the internet marketing ecosystem, highlighting the end of an era and the systemic crisis facing traditional channel models [1][4][12] - The decline of Century Baijie reflects broader changes in the digital marketing industry, driven by the transformation of traffic sources and the end of the rebate model that supported the agency system for two decades [12][18] Group 1: Century Baijie's Rise and Fall - Century Baijie started in 2003 with an initial investment of 150,000 yuan and quickly became a major player in internet marketing, achieving annual sales of 2 billion yuan and a net profit of 300 million yuan at its peak [1][3] - The company built a vast marketing network across Hubei, employing up to 2,000 people and serving over 130,000 businesses during its growth phase from 2005 to 2015 [3][4] - The sudden announcement of bankruptcy on June 30, 2025, was attributed to the transformation of Baidu's channel model, which led to the loss of its core revenue source [4][10] Group 2: Systemic Crisis in the Agency Model - The traditional rebate model that once benefited agencies like Century Baijie is becoming unsustainable, as Baidu has begun to lower rebate rates and increase performance requirements for its agents [14][15] - The shift in advertising budgets towards platforms like Douyin and WeChat, with nearly 70% of consumer advertising budgets now directed away from Baidu, has severely impacted the revenue of traditional agencies [10][16] - The restructuring of Baidu's agency system, including the cancellation of exclusive agency rights in several cities, has intensified competition and further weakened the position of traditional agents [16][18] Group 3: Changing Traffic Dynamics - The search traffic landscape has shifted dramatically, with Douyin capturing 70% of the mobile search market share, while Baidu's daily search volume has dropped to 300 million, representing a significant decline [7][10] - User behavior has transitioned from traditional keyword searches to more social and AI-driven content discovery methods, diminishing Baidu's relevance in the market [8][11] - The trust crisis surrounding Baidu's search results, with 78.3% of respondents expressing distrust, has compounded the challenges faced by the company and its agents [9][11] Group 4: Future Directions for the Industry - The decline of traditional agency models necessitates a shift towards integrated marketing services, where agencies must diversify their offerings beyond reliance on a single platform [19][20] - New business models such as performance-based commissions and AI search optimization are emerging as viable alternatives for agencies to adapt to the changing landscape [21][22] - The industry's future will likely favor agencies that can provide comprehensive, technology-driven solutions and demonstrate a commitment to evolving alongside market demands [26]

Core Viewpoint - The article discusses the emerging trend of Generative Search Engine Optimization (GEO) services provided by advertising companies to enhance the visibility and ranking of businesses in AI search results, raising questions about the nature of these services and their compliance with advertising regulations [1][5][20]. Group 1: GEO Services Overview - Advertising companies are utilizing GEO services to help clients achieve higher exposure and ranking in AI search results, differing from traditional SEO by focusing on becoming part of AI-generated answers [2][4]. - The two main strategies of GEO are producing high-quality content that aligns with AI model preferences and feeding data to AI systems to improve the chances of client content being featured [3][13]. Group 2: Market Demand and Trends - There is a noticeable increase in demand for AI search optimization services among businesses, particularly those looking to expand internationally [7][10]. - Advertising service providers are actively promoting GEO services, indicating a growing market interest in AI search optimization [8]. Group 3: Pricing and Service Structure - Pricing for GEO services varies based on the client's brand recognition and content richness, with costs determined by the number of relevant keywords and platforms targeted [12]. - Some advertising companies guarantee that clients' names will appear in search results for specific keywords, although they do not guarantee ranking positions [13]. Group 4: Regulatory and Ethical Considerations - The article raises questions about whether AI search optimization constitutes advertising, with legal experts suggesting that it fits the definition of advertising due to its intent to promote products or services [22][23]. - There is a call for transparency and adherence to advertising regulations, including the need for clear labeling of optimized content to avoid misleading consumers [27].

Core Insights - The article discusses the emerging trend of Generative Search Engine Optimization (GEO) services, which allow businesses to enhance their visibility and ranking in AI-generated search results, marking a shift in advertising strategies towards AI platforms [2][3][11] Group 1: GEO Services Overview - GEO services focus on optimizing content for AI dialogue platforms, aiming to integrate business content into AI responses rather than traditional search engine rankings [2][3] - The primary strategies for GEO include producing high-quality content that aligns with AI model preferences and feeding relevant data to AI systems [3][12] - Companies are increasingly seeking GEO services as they recognize the importance of AI search optimization in driving business [11][12] Group 2: Market Dynamics - The demand for AI search optimization services is rising, with both clients and advertising companies showing increased interest in GEO [11][12] - Pricing for GEO services varies based on the client's brand recognition and content richness, with costs determined by the number of keywords and platforms targeted [11][12] - Some advertising companies guarantee that clients' names will appear in AI responses for specific keywords, although they do not guarantee ranking positions [11][12] Group 3: Content Optimization Techniques - Effective content for AI models should be structured to allow each paragraph to independently answer specific questions, with clear themes and data support [12] - The approach to content creation has shifted from optimizing entire pages for search engines to ensuring that individual segments serve as the best answers to specific queries [12][15] Group 4: Advertising Classification and Regulations - The classification of GEO services as advertising is debated, with some experts asserting that these services fall under advertising regulations due to their intent to influence consumer perception [14][15] - Current major AI platforms have not yet integrated advertising into their models, leading to questions about the transparency and ethical implications of third-party optimization services [13][14] - There is a call for clarity in labeling optimized content to avoid misleading consumers, especially in sensitive industries like healthcare and finance [15]

Core Insights - Sichuan Jinbiao Network Technology Co., Ltd. is a pioneer in the domestic AI search optimization field, leveraging its self-developed AI search optimization technology ecosystem to secure a core position in the smart marketing battlefield of 2025 [1] - The company has served over 500 enterprises, helping reduce AI search ranking costs by 40%, establishing itself as an industry benchmark [1] Group 1: AI Technology Advancements - Semantic understanding has evolved from keyword matching to intent penetration, utilizing Transformer architecture for deep semantic analysis, resulting in a 210% increase in click-through rates for a certain educational institution [3] - Dynamic ranking is driven by reinforcement learning, allowing real-time strategy adjustments based on user behavior, leading to a 35% increase in user dwell time and a 22% rise in conversion rates for a tourism platform [4] - Multi-modal integration is being implemented, where AI synchronously analyzes images, videos, and unstructured data, achieving a 170% higher click-through rate for video content compared to pure text [5] Group 2: Ethical and Strategic Enhancements - An ethical review mechanism has been introduced to mitigate irrational query risks, resulting in a 90% decrease in misleading content and a reduction in user complaints [6] - The company employs a real-time competitive defense system using ARIMA and Prophet models, enhancing keyword search stability by 85% and improving competitive interception efficiency by 60% for a food brand [6] Group 3: Industry Challenges and Innovations - Despite significant efficiency gains from AI technology, the industry faces challenges such as the need for open-source ecosystem collaboration, which has led to a 28% increase in product search conversion rates and a 40% decrease in customer complaints for an e-commerce platform [9] - Companies like Namin Culture Media, Yunchuan Culture Media, and Yizhuo Culture Media are excelling in vertical markets by leveraging AI-generated content, achieving substantial increases in user engagement and content production efficiency [10] Group 4: Future Outlook - By 2025, AI technology is expected to redefine industry rules, with advancements in semantic penetration, multi-modal integration, real-time feedback, and ethical governance reshaping the connection between enterprises and users [12]