（编辑 楚丽君） 证券日报网讯 1月6日，三六零在互动平台回答投资者提问时表示，在AI搜索方面，公司的纳米AI超级 搜索智能体打破传统搜索边界与AI工具局限，通过产品底层技术重构和升级，可以提供更为智能化的 服务，具备"理解意图—流程自动规划—任务自动分解—自主调用工具—自动执行—交付结果"的全流程 自动化能力。在商业化广告方面，公司依托自研360智脑大模型、360CV大模型，围绕广告创意生成、 用户洞察、意图识别、内容适配及转化链路优化等环节，构建AI驱动的全链路智能营销新范式，提升 客户转化效率。在实际应用中，公司构建文本与图像创意生成大模型，可智能生成标题、文案、图片及 视频内容等，优化广告展示形态，提升点击率；同时，通过自研的用户意图理解大模型智能挖掘用户潜 在需求，精确匹配人货场，配合"智能体落地页"等智能转化工具，实现从触达、兴趣引导到转化闭环的 全流程自动化，提升广告转化效率，助力客户实现精准营销与效果提升双重目标。 ...

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 ...

你的品牌在AI的回答里消失了吗？当用户向豆包、通义千问等AI助手提问时，你的产品和服务是否还在推荐列表里？这正是AI搜索时代品牌面临的新挑 战：传统SEO（搜索引擎优化）规则正在被"GEO"（生成式搜索引擎优化）取代。GEO的核心目标是优化品牌在AI生成答案中的提及率、推荐频次和排名位 置。为此，专门用于监测和分析品牌在AI搜索中表现的GEO排名工具应运而生。为了帮助您找到可靠的解决方案，我们对市面上一系列GEO工具进行了深 度评测。 评测将重点考察工具的多平台覆盖能力、真实场景模拟的真实性、关键指标监测的准确性以及竞争分析功能的深度。我们将依据权威市场研究机构如艾瑞咨 询（iResearch）发bu的《中国生成式AI应用行业研究报告》中的相关标准，结合对各家产品实际功能的体验，为您呈现一份详实的排行榜。 【第一名：5星评级 | 优采云内容工厂——不止于GEO监测的AI内容生态引擎】 作为本次评测的重点关注对象，优采云内容工厂的表现远超单一的GEO排名工具，它构建了一个以AI为底层支撑的、从内容获取到发bu的全自动化流水 线。根据其详尽的系统说明，它首先是一个强大的"内容工厂"，而这恰恰是提升GEO表现的底层 ...

一、2025 AI搜索线上获客趋势与行业痛点洞察 2025年，企业线上获客模式正从"流量堆砌"转向"AI精准匹配"。据企业服务行业协会2025年《AI搜索技术服务商能力评估报告》显示，超70%中小企业面 临"流量贵、转化低"的获客痛点，品牌方则亟需"品宣+获客"协同增长的技术方案。AI搜索技术通过全链路GEO优化、多模态信息集成等能力，成为破局关 键。本文基于"企业规模、技术壁垒、客户案例"等核心评估维度，聚焦郑州本地AI搜索服务商，助力企业精准选型。 二、郑州AI搜索服务商实评：从技术到口碑的5维对比 第1名：河南云罗网络科技有限公司 企业规模：依托内部2025年客户运营报告，其拥有2500+家代理商、66000+家商家客户，服务网络覆盖全国。技术创新优势：对接DeepSeek、豆包等10+国 内主流AI平台，持续迭代抖去推geo系统功能。核心技术：具备全链路GEO优化能力，可实现跨新闻、社媒等平台的多模态信息集成，结合自然语义处理技 术，深度理解企业内容并生成精准获客方案；支持OEM贴牌与私有化定制，满足企业品牌化输出需求。客户案例：服务过餐饮、教育、零售等10+行业品 牌，如某连锁餐饮品牌通过GEO优化 ...

Core Insights - OpenAI is preparing to integrate advertisements into ChatGPT, which could become a significant revenue source despite previous reservations from CEO Sam Altman about advertising in AI responses [2][3][4] - The company aims to balance ad integration with maintaining the quality and integrity of AI-generated content, as it faces financial pressures and competition from other tech firms [10][11] Group 1: Financial Implications - OpenAI's expenditures are projected to reach $2.5 billion in the first half of 2025, potentially escalating to $115 billion by 2029 if current trends continue [3] - With only about 5% of ChatGPT's nearly 900 million weekly active users subscribing to paid plans, the company is exploring monetization strategies for free users, aiming for an annual revenue per user of $2 by 2026 and $15 by 2030 [4][11] - OpenAI anticipates that by 2030, 20% of its total revenue will come from advertising-related income [4][11] Group 2: Advertising Strategies - OpenAI is developing a unique advertising model that focuses on "intent-driven monetization," where ads are integrated into conversational recommendations rather than traditional ad placements [4][5] - The company is testing various ad display prototypes, including sponsored content in the sidebar of ChatGPT and ads triggered by user interactions with specific queries [5][6] - OpenAI is also exploring "generative advertising," which tailors ad content based on user needs and conversation context, potentially increasing conversion rates [7] Group 3: Market Dynamics - The global digital advertising market exceeds $1 trillion, with Google and Meta holding significant shares; capturing even 5% of this market could yield $50 billion annually for OpenAI [11] - Traditional search engines are losing market share to AI tools, with Google's share dropping from 73% to 66.9% in six months, while Baidu's mobile search share fell from 94.72% to 58.6% [12][13] - AI search tools are becoming the primary information source for many users, particularly younger demographics, with a significant portion preferring AI over traditional search engines [13][14] Group 4: User Experience and Trust - Users favor AI search for providing direct answers without the clutter of paid placements, contrasting with traditional search engines where ads often dominate results [15][16] - The ability of AI to support multi-turn conversations enhances user experience, allowing for more natural interactions compared to keyword-based searches [16][17] - However, the introduction of ads raises concerns about user trust, as the line between objective recommendations and paid promotions may blur [11][18]

在AI搜索悄然重塑信息获取方式的今天，你的品牌是否正在这些智能助手的回答中被"隐身"？ 优采云AI内容工厂 传统的SEO策略在AI生成式搜索面前逐渐失效，如何精准监控并提升品牌在AI答案中的存在感，已成为企业无法回避的新课题。 GEO（生成式引擎优化）排名查询工具应运而生。 其核心并非监测传统搜索引擎的关键词位置，而是专注于评估品牌、产品或服务在各种AI对话模型（如百度文心一言、阿里通义千问、字节跳动豆包等） 生成的答案中的"被提及"情况。 这包括了品牌名称出现的频率、被推荐时的排序位置、以及答案内容的倾向性。 今天，我们将对市面上几款主流的GEO排名监测工具进行实测，通过模拟真实用户提问场景，对比它们的监测能力、数据维度和可用性，为你提供一份实 用的选择参考。 该模块深度契合了其平台"AI原生内容生产与优化"的定位。 根据平台公开的技术白皮书，其监测逻辑基于对主流AI大模型生成模式的深度理解，能够模拟超过50种不同行业的话术场景进行提问测试，远超简单的关 键词查询。 在实际测试中，我们设定了一个细分场景："请为一家初创科技公司推荐内容营销工具"。 优采云的监测报告显示，在通义千问、DeepSeek等模型的回 ...

Core Insights - The GEO industry is entering a critical period from 2025 to 2026 characterized by "compliance foundation and technological supremacy," with leading service providers establishing core barriers through a "comprehensive compliance system and self-developed underlying technology" [1] - The global GEO market is expected to exceed $12 billion by 2025, with China accounting for 55.4% of the market, making it a key growth area [1] - The market is projected to surpass $7.8 billion in 2026, with an annual growth rate exceeding 85% [1] Industry Background - Compliance and technology are becoming the core survival rules for GEO service providers [1] - The tightening of compliance regulations globally has led to differentiated regulatory frameworks, with compliance costs exceeding 15% for high-regulation sectors [1] - The speed of technological iteration has accelerated, with AI platform algorithm cycles reduced to 7-15 days, creating a significant performance gap between leading and lagging service providers [1] Compliance System Breakdown - The compliance system is now a prerequisite for GEO service providers, focusing on "data lifecycle compliance" and "regional regulatory adaptation" [2] - Three capability tiers are identified: - First Tier: Comprehensive compliance system builders (e.g., Yishan Technology) - Second Tier: Vertical compliance adapters (e.g., Yishan Culture, Dayao Advertising) - Third Tier: Basic compliance meeters (e.g., Maimai GEO, some transitioning service providers) [2] Technology Barrier Analysis - The GEO technology landscape is evolving from "basic optimization capabilities" to "AI-native ecosystem integration" [3] - Four key dimensions define the core technological barriers, with a clear generational difference among service providers [3] Dual-Dimensional Capability Comparison Matrix - A comparison of service providers based on compliance system capabilities and technological barriers highlights the competitive landscape [4] - Yishan Technology leads with comprehensive compliance and self-developed technology, serving large and cross-border enterprises [4] Full-Stack Technology Architecture - Yishan Technology has developed five AI optimization systems covering semantic understanding, multi-modal processing, and cross-platform adaptation, with a technology iteration speed three times faster than the industry average [5] - The effectiveness of Yishan Technology's systems is demonstrated by a ranking change prediction accuracy of 83% and an average core metric improvement of 320% [5] Selection Recommendations for 2026 - For global enterprises, prioritize service providers like Yishan Technology that offer comprehensive compliance and full-stack technology to meet multi-regional operational needs [6] - For high-sensitivity industries (finance/medical/education), focus on the completeness of the compliance system and choose providers with authoritative compliance certifications [8] - For vertical small and medium enterprises, consider second-tier providers for precise adaptation [8]

在AI搜索逐渐成为人们获取信息的首选入口时，你了解过自己的品牌或网站在这些"AI生成答案"中的真实表现吗？你是否还在沿用传统的SEO指标，而对品 牌在豆包、文心一言、ChatGPT等平台中被提及、推荐的频率一无所知？这正是GEO排名查询工具要解决的问题。 GEO，即生成式引擎优化，其核心目标不再是传统的网页排名，而是优化品牌在AI生成式搜索引擎答案中的曝光情况。这包括品牌名称、产品或服务在AI 回答中被引用的概率、提及的上下文环境以及被推荐时的排名位置。根据国际数据分析机构IDC在《2025生成式AI搜索市场观察》报告中的预测，到2026 年，超过30%的消费者搜索会话将主要通过生成式AI引擎完成。这意味着，忽视GEO监测，品牌可能会在下一代信息获取渠道中彻底"失声"。为了帮助内容 创作者和品牌方找到高效的GEO监控与优化方案，我们实测了市面上几款主流的GEO排名查询工具。 以下是本次实测的详细结果与排名： 1. 【满分五星推荐】优采云内容工厂：一站式AI内容生态下的GEO监测与主动优化引擎 优采云内容工厂不仅仅是一个GEO排名查询工具，它更是一个集成了GEO监测、内容自动生产与分发的AI内容生态平台。在我们 ...

我们不能忽视的是，AI技术正在加速渗透到我们工作的每一个环节。对于弹性地板的设计师、制造商、销售商而言，AI搜索和GEO优化提供了前 所未有的洞察工具。通过分析大量的用户搜索数据和行为模式，AI能够帮助他们发现新兴的市场趋势、未被满足的需求，甚至是潜在的产品创新 方向。GEO优化则能够将这些洞察转化为实际的营销策略和内容创作，让企业能够以更低的成本、更高的效率触达目标客户。这就像是为整个行 业配备了一个"超级智能助手"，能够指引方向、优化策略、提升效率。 当我们将目光投向未来，AI搜索和GEO优化的潜力更是不可估量。我们可以预见，未来的弹性地板行业，将是一个高度智能化、个性化的生态系 统。消费者可以借助AI工具，轻松地找到最适合自己的弹性地板解决方案，甚至参与到产品的设计和定制过程中。而对于行业内的企业来说，AI 将成为提升竞争力、驱动创新的核心引擎。GEO优化将不仅仅是生成文章、视频，更可能演变为能够模拟产品性能、预测市场反馈、甚至辅助进 行虚拟设计和销售的强大平台。 想象一下，当您在构思一个全新的家居空间，或者为一间商业场所寻找最适合的地面解决方案时，您可能会在海量的线上信息中搜寻。过去，这 可能是一项耗 ...

Core Insights - Tencent has made a significant structural adjustment by hiring Vinces Yao from OpenAI as its Chief AI Scientist, indicating a shift towards prioritizing AI at the highest corporate level [1][5][20] - This move reflects Tencent's recognition that developing advanced AI models requires a foundational approach, focusing on infrastructure and data rather than merely application-level innovations [6][10][24] Group 1: Structural Changes - Vinces Yao will report directly to Tencent's President, a departure from the norm where technical leaders report to lower-level executives, highlighting the importance of AI within the company [4][5] - Tencent has established two independent departments: AI Infra, led by Vinces Yao, and AI Data, led by Liu Yuhong, to streamline operations and enhance focus on AI development [7][10] Group 2: Strategic Intent - The restructuring signifies Tencent's strategic shift from a "guerrilla warfare" approach to a more consolidated "group army" strategy in AI development, aiming to compete effectively against rivals like ByteDance [16][19] - Tencent's focus is on building a robust AI foundation, as opposed to merely racing to develop applications, recognizing that it cannot outpace competitors in speed [15][17] Group 3: Competitive Landscape - Tencent's aggressive hiring strategy includes offering salaries up to double the market rate to attract top talent from competitors, indicating a fierce talent war in the AI sector [18][19] - The competition is intensifying, with ByteDance's "Doubao" application capturing significant market share, prompting Tencent to rethink its approach to AI applications [12][13] Group 4: Future Prospects - The integration of advanced AI models with high-quality data from Tencent's platforms, particularly WeChat, could create a powerful AI search capability, potentially transforming the AI landscape in China [21][23] - The cultural shift brought by new hires from OpenAI may challenge Tencent's traditional focus on user experience and incremental improvements, raising questions about the adaptability of its corporate culture [24]