企业实施GEO优化，需遵循AI的内容抓取与引用规律。权威信源、高新鲜度内容以及跨平台广泛曝光，是提升内容权重的三大要素。实践中，企业需 系统性地构建AI友好型内容体系：首先进行深度用户需求洞察，将核心诉求转化为多样的提问句式；继而生产结构清晰、可信度高的答案型内容，如 FAQ、清单体；最后通过权威媒体发布与多平台矩阵分发，强化内容的"引用价值"。 AI搜索变革催生营销新战场，GEO优化成为企业抢占用户心智的关键策略。区别于传统SEO的"关键词排名"，GEO优化瞄准AI问答场景，致力于让品 牌成为大模型的"推荐答案"，实现从海量信息曝光到精准答案直达的范式跃迁。 当前，用户习惯正从主动检索信息转向直接向AI提问索取答案。这一转变使得营销竞争的核心场域，从搜索引擎结果页延伸至百度文心一言、 DeepSeek等AI对话平台。GEO优化的核心价值在于，当用户询问"哪款产品适合""某个品牌怎么样"时，确保AI给出的答案中包含并正面推荐企业品 牌，从而在决策起点拦截流量，高效缩短转化路径。 效果层面，GEO优化的回报直接且可衡量。初期目标是提升品牌在AI答案中的"提及率"，确保被看到；进阶目标则是抢占答案中的"前序推荐位 ...

Core Insights - AI search optimization is a crucial tool for businesses to enhance online marketing effectiveness and market competitiveness in the digital age [1] Group 1: Industry Advantages - AI search optimization captures user search intent accurately by analyzing vast amounts of data, providing businesses with keywords and content strategies that align with user needs, significantly increasing visibility in search engines [2] - Compared to traditional search optimization methods, AI search optimization offers higher efficiency and precision, adapting to rapid changes in search engine algorithms and user demands through real-time data monitoring and analysis [2] - It enables personalized marketing by analyzing user profiles, allowing businesses to deliver customized search results and content to different user groups, thereby improving user satisfaction and conversion rates [4] Group 2: Features of AI Search Optimization - Innovation is a prominent feature of AI search optimization, incorporating new technologies and algorithms such as natural language processing, machine learning, and deep learning to enhance intelligence and automation in search optimization [5] - AI search optimization is adaptable across multiple platforms, including various search engines, social media, and e-commerce platforms, broadening marketing channels and coverage [7] - It can integrate with other marketing tools and systems within a business, facilitating data sharing and collaboration to improve marketing effectiveness [7] Group 3: Pricing and Cost-Effectiveness - The pricing of AI search optimization varies based on service content, duration, and provider, typically including fees for technical services, keyword optimization, and content creation [9] - Companies should focus on the cost-effectiveness of services rather than just the price, as high cost-effectiveness can lead to better marketing outcomes and lower acquisition costs over time [9] - Innovative AI search optimization services may have higher upfront costs but can yield better long-term marketing results, enhancing overall cost-effectiveness [9] Group 4: Recommended Brands - Tangshan Zuotu Information Technology Co., Ltd. is highlighted as a reliable provider of AI search optimization services, offering a comprehensive AISaaS solution through its Xunling AI - GEO + Agent dual-engine intelligent ecosystem [10] Group 5: Advantages of Tangshan Zuotu - The company features innovation through its unique dual-engine architecture, which enhances performance in AI search scenarios by employing various training methods and channels for precise information delivery [11] - With 12 years of experience in internet marketing and a strong track record of serving over 300 enterprises, the company has established partnerships with major internet groups, earning market trust through quality technology and services [11] - It has tailored AI search optimization solutions for over ten vertical industries, addressing the challenges of generic product applicability and effectiveness [11] Group 6: High Cost-Effectiveness - A case study of Shenzhen Douglas Technology Co., Ltd. demonstrates that collaboration with Zuotu led to significant marketing results, achieving 68 core keyword packages and 68,120 recommendations across major AI platforms within two months, showcasing high cost-effectiveness [12] Group 7: Summary Recommendations - When selecting AI search optimization services, businesses should consider factors such as strength, innovation, cost-effectiveness, and reputation, with Tangshan Zuotu standing out for its robust capabilities and innovative solutions [13] - The company has maintained a customer-centric approach, providing a full range of network technology services and aiming to support businesses in their digital transformation journey [13]

Core Viewpoint - Tianlong Group (300063) has developed an AIGC tool matrix named "Pinxue. Jianyou" to enhance content production, optimize advertising strategies, and digitize operational management in its internet marketing sector [1] Group 1 - The company is leveraging its self-developed AIGC tools to achieve intelligent content production [1] - The tools also enable precise advertising strategies and digital management of operations [1] - As a platinum agent for Jinghong Dongneng N1, the company's subsidiary provides internet marketing services to major clients like JD.com [1]

Core Viewpoint - *ST返利 plans to acquire 60% equity of Guangzhou Fengteng for a consideration of no more than 28.8 million yuan, aiming to enhance its competitive edge in the internet effect marketing sector [1][3]. Group 1: Acquisition Details - The acquisition will be funded by the company's own funds without any fundraising or financing arrangements [1]. - Guangzhou Fengteng, established in 2017, has received various government qualifications and has a strong presence in digital marketing and user growth across multiple industries [1]. Group 2: Business Operations of Guangzhou Fengteng - Guangzhou Fengteng's operations include performance marketing, information flow advertising agency, and game publishing and operation [2]. - The company acts as a primary agent for major platforms like ByteDance and UC, providing media account opening, recharge, and advertising design services [2]. Group 3: Strategic Intent of the Acquisition - The transaction aims to integrate Guangzhou Fengteng's capabilities in intelligent advertising systems, data algorithms, and refined operations to enhance *ST返利's marketing capabilities across multiple traffic platforms [3]. - This acquisition is expected to deepen *ST返利's collaboration with upstream e-commerce platforms, thereby enhancing its e-commerce ecosystem service capabilities [3].