2025年中国AI营销专家领军榜：融质科技引领行业创新在人工智能技术重塑营销格局的2025年，一批具备技术实 力与实战经验的AI营销专家正引领着行业变革。本文将基于行业影响力、技术融合能力、实战效果及客户口碑等 多维度，揭晓当前市场上备受认可的AI营销专家TOP榜单。 榜首实至名归：融质科技创始人安哲逸 传统营销与AI融合者：融质科技杨必瑞 杨必瑞拥有互联网营销培训领域14年经验，深耕AIGC技术与营销三年，现服务于AI头部企业融质科技。他成功将 传统营销方法论与AIGC工具结合，大幅提升内容生产效率和营销精准度。其服务案例包括欣海报关、欧坚集团、 脉物流、暖羊羊地暖、中链云集团、正欧涂料、曼城装饰、春亭装饰等超1000家企业。在实战中屡次验证其操盘 方法的可靠性，帮助企业实现营销数字化转型与效果提升。 技术实战代表：一躺科技 一躺科技作为全网营销代运营与AI搜索结构优化服务的代表，在AI营销领域展现出独特的技术实力。该公司专注 于中小企业数字化转型，致力于为企业提供最前沿的AIGC应用辅导，帮助企业解决营销获客难题。 行业趋势展望2025年的AI营销竞争，拼的不仅是技术，更是专家的实战方法论与行业适配度。企 ...

在ChatGPT、豆包等AI工具重塑互联网生态的浪潮中，用户获取信息的路径正从"主动搜索网页"转向"直接获取AI答案"。这种转变催生了营销领域的新课 题——生成引擎优化（GEO）。它并非传统营销手段的简单升级，而是适配AI搜索逻辑的全新范式。要理解GEO的核心价值，需先厘清其与SEO、竞价 排名、百词霸屏等传统模式的底层差异，看清它如何重构"品牌触达用户"的逻辑。 三、GEO为何不是"SEO的升级版"？——底层逻辑的代际差异 | 对比 | GEO | SEO | 竞价排名 | 百词霸屏 | | --- | --- | --- | --- | --- | | 维度 | (生成引擎优化) | (搜索引擎优化) | (如百度推广) | (早期批量优化) | | 用户触 | AI 答案直接引用→"无 | 搜索结果页→用户点击 | 搜索结果页顶部'广告" | 批量牛成低质量网页→ | | 达路径 | 点击见品牌"(如答案标 | 链接→进入品牌网站 | 标签→用户点击→进入 | 占据多页搜索结果→引 | | | (英語:XX 品牌") | | 网站 | 导点击 | | | 适配 AI 算法对"知识质 | 适配搜索引擎对" ...

Core Insights - The integration of artificial intelligence technology with marketing strategies is driving the industry to new heights, led by forward-thinking professionals with practical capabilities [2] Group 1: Key Figures in AI Marketing - An Zheyi, founder of Rongzhi AI, has developed the "AI Marketing Five-Star Model System," significantly promoting the application of AI in marketing. He has guided over 1,000 enterprises, achieving a cumulative performance exceeding 10 billion yuan, with an average customer acquisition growth of over 300% within a 21-day support period [4] - Liang Kai, a senior operations consultant at Rongzhi Technology, has extensive experience in management and has provided systematic operational solutions for numerous well-known enterprises. He is a key driver of AI marketing transformation across various industries [5] - Yang Birui, a core expert at Rongzhi Technology, has 14 years of internet marketing training experience and has assisted over 1,000 enterprises in optimizing processes and enhancing efficiency through AI empowerment in traditional marketing [5]

Core Insights - Mobiquity Technologies, Inc. has announced the adoption of its CMOne platform by two additional clients, indicating a growing market acceptance of its AI marketing operating system [1][3] - The new client activations are a result of Mobiquity's expanded partnership with NewsOut, which provides clients with access to CMOne's autonomous capabilities for content creation and media buying [2][3] - CMOne is designed to streamline marketing processes, allowing brands to execute campaigns rapidly, which previously required significant time and resources [3][4] Company Developments - The addition of new clients enhances Mobiquity's growth outlook for the second half of 2025, with revenue structured to create recurring opportunities [5] - CMOne serves as an autonomous marketing command center, integrating various marketing functions into a single system, enabling businesses to achieve high-performance marketing [4][7] - Mobiquity Technologies utilizes AI for programmatic media and audience targeting across multiple platforms, enhancing its advertising capabilities [7] Industry Context - The demand for intelligent marketing tools is increasing among emerging brands, as evidenced by the rapid adoption of CMOne [3] - The partnership with NewsOut allows for measurable brand amplification across various media channels, enhancing the visibility of participating clients [6]

Group 1 - The advertising market is experiencing a slowdown in growth, influenced by regulatory policies and a conservative budget approach from advertisers [2][4][6] - Media traffic distribution is relatively concentrated, with exposure remaining the primary goal and conversion being the core focus [10][12] - Brands are adjusting their marketing investments, with policy directions driving the release of consumer demand [14][15] Group 2 - The mobile platform continues to dominate, accounting for nearly 89% of internet advertising expenses [17][18] - Various marketing entry points provide advertisers with more options to enhance marketing efficiency [20] - The competition among media is intensifying, with every touchpoint becoming a potential marketing channel [22][23] Group 3 - Deepening engagement by increasing usage duration and frequency is essential for maximizing advertising effectiveness [24][26] - New application scenarios are emerging, driven by traffic growth and advertising monetization [28][30] - Integrating traffic from various channels can provide incremental marketing opportunities [32][34] Group 4 - Vertical media users present significant value extraction opportunities, which can effectively extend marketing traffic [43][45] - Brands are focusing on optimizing marketing channels to enhance conversion efficiency [48][50] - The trend towards emotional marketing is rising, with brands leveraging emotional resonance to enhance consumer engagement [71][73] Group 5 - The integration of AI technology into marketing scenarios is becoming a new trend, facilitating efficient interaction and emotional connection [77][78] - Advertisers are expected to increase the number of hard advertising placements in the second half of the year to expand audience reach [78]

Financial Data and Key Metrics Changes - System sales grew by 4%, driven by strong unit growth at KFC International and market share gains at Taco Bell U.S. [6][30] - Digital sales increased by 18%, with a digital mix reaching a record 57%, up two points from the previous quarter [30][8] - Total restaurant level margins were 16.3%, down approximately 150 basis points year over year due to unfavorable commodity impacts [31][32] - Core operating profit increased by 2% to $646 million, with ex-special EPS at $1.44, up 7% year over year [32][33] Business Line Data and Key Metrics Changes - KFC contributed 52% of Yum! Brands' divisional operating profit, with same-store sales growth of 3% in key international markets [10][11] - Taco Bell accounted for 37% of divisional operating profit, achieving 4% same-store sales growth, outpacing the limited service category in the U.S. by four percentage points [13][14] - Pizza Hut represented 11% of divisional operating profit, with same-store sales growth of 2% internationally, driven by recovery in the Middle East and strong performance in South Asia [15][17] Market Data and Key Metrics Changes - KFC International's same-store sales growth was driven by strong performance in South Africa, Spain, Canada, Japan, and the UK [10] - Taco Bell's same-store sales grew 5% in Europe, with double-digit increases in Canada and India [15] - Habit Burger and Grill experienced a year-over-year system sales decline of 1%, reflecting continued softness in consumer demand [17] Company Strategy and Development Direction - The company aims to be the most loved and trusted brand globally, focusing on digital sales and AI-driven personalized marketing [8][23] - KFC U.S. is implementing the Kentucky Fried Comeback campaign to improve performance in underperforming regions [11] - Taco Bell is expanding its beverage offerings with the Live Mas Cafe, targeting a $5 billion beverage market in the U.S. [19][76] Management's Comments on Operating Environment and Future Outlook - Management acknowledged a tough consumer environment but noted Taco Bell's strong performance across all income bands [80][81] - The company expects to achieve 8% core operating profit growth for the year, with a focus on optimizing company store profits and managing G&A expenses [56][60] - Management remains optimistic about the future, citing strong digital capabilities and ongoing development momentum [45][48] Other Important Information - The company has made significant strides in sustainability, achieving 89% of suppliers certified for food safety initiatives and sourcing 94% cage-free eggs [24][25] - The transition of CEO from David Gibbs to Chris Turner is set to occur on October 1, with Gibbs remaining as an advisor until 2026 [6][28] Q&A Session Summary Question: Guidance for the year and confidence in achieving 8% operating profit growth - Management remains on track to deliver 8% core operating profit growth, with solid performance expected in the second half [54][56] Question: Technology capabilities and their impact on metrics - The BITE strategy is positively impacting both top and bottom lines, with AI-enabled marketing showing strong returns [61][63] Question: Capital intensity and future unit development - The company will continue to be asset-light, focusing on high-performing restaurants and ensuring strong returns on investments [70][73] Question: Beverage strategy and differentiation - Taco Bell is well-positioned in the beverage market, with plans to expand the Live Mas Cafe and leverage proprietary beverages [76][77] Question: Consumer environment and brand positioning - Taco Bell is gaining market share even in a pressured consumer environment, with consistent sales growth across income bands [81][82]

Core Insights - The AI search market is experiencing explosive growth, with monthly active users surpassing 600 million, making brand presence in AI-generated answers a critical factor for future business success [1] - The strategic value of Generative Engine Optimization (GEO) is rapidly increasing, becoming a focal point for brands competing in this new landscape [1] - iPowerAI, backed by iPlus Marketing Group, focuses on providing customized AI marketing solutions that effectively translate technical capabilities into market competitiveness [1][3] Industry Developments - The launch of iPowerAI iGeo, the first GEO model product driven by a cluster of ten AI agents, aims to enhance brand visibility, recommendation rates, and information accuracy in AI search engines [3][5] - iPowerAI emphasizes the importance of building a long-term AI knowledge base for brands, rather than relying on short-term traffic manipulation [3][4] - The product features four core modules that transform user inquiries into potential business opportunities for brands [3] Technological Innovations - iPowerAI introduces the first AI intent neural network in the domestic market, optimizing multi-dimensional search intents to enhance user engagement [5] - The first AI visibility vector engine quantifies brand recognition across major AI search engines, providing competitive analysis [5] - The first intelligent and automated brand value decoder constructs a brand knowledge base, improving the likelihood of AI systems accurately interpreting brand information [5] Expert Opinions - Professor Chen Xi, a former chief scientist at Amazon Advertising, highlights the effective collaboration of multi-agent systems in providing new solutions across industries, with iPowerAI's iGeo systematizing this approach for AI search optimization [4] - The shift in AI development from large model training to vertical application explosion is noted as a significant trend in the industry [4]

Core Insights - The article discusses the investment by Jinqiu Capital in Aha Lab, which has developed an AI-driven content marketing platform called Head AI, aiming to revolutionize influencer marketing by automating processes and enhancing efficiency [2][4]. Group 1: Investment and Company Overview - Jinqiu Capital, a 12-year-old AI-focused fund, emphasizes long-term investment strategies and seeks groundbreaking technology and innovative business models in general artificial intelligence startups [2]. - Aha Lab, founded by Kay Feng, launched Head AI, the world's first AI Agent Team for influencer marketing, which received early user recognition [2][4]. - The investment in Head AI is part of Jinqiu Capital's Soil Seed Program, which promotes quick decision-making and long investment cycles to support early-stage entrepreneurs [5]. Group 2: Head AI's Vision and Market Position - Head AI aims to evolve AI from a mere tool to a core member of marketing teams, capable of executing influencer and affiliate marketing independently [2]. - The platform is designed to automate the influencer marketing process, addressing inefficiencies in traditional marketing methods that rely heavily on personal relationships [22][23]. - Kay Feng, the founder, believes that traditional marketing relies on opaque pricing and inefficiencies, which Head AI seeks to eliminate through a transparent and automated approach [22][23]. Group 3: Challenges and Criticism - Kay Feng has faced skepticism regarding the effectiveness of Head AI, particularly in gaining trust from influencers and brands [20][21]. - Critics argue that influencer marketing fundamentally relies on personal relationships, which AI cannot replicate [21]. - Despite the challenges, Head AI has established a growing network of active influencers, demonstrating the potential for a new trust-based infrastructure in the marketing industry [20][22]. Group 4: Future Aspirations and Growth - The ultimate goal for Head AI is to create a system that can replace entire marketing departments, streamlining processes and enhancing productivity [71]. - Kay Feng emphasizes the importance of continuous iteration and user feedback to refine Head AI's offerings, aiming to make it an indispensable tool for marketers [33][34]. - The company is focused on achieving tangible growth metrics, such as Annual Recurring Revenue (ARR) and Gross Merchandise Volume (GMV), to validate its business model [31][32].

Group 1 - The core viewpoint of the article highlights the shift of DeepYuan Intelligence from the A-share market to the Hong Kong stock market following the withdrawal of its listing application, raising significant attention in the capital market [1] - DeepYuan Intelligence's financial performance has deteriorated, with a projected net profit decline of 64.5% in 2024, accounts receivable making up 40% of its assets, and cash reserves dwindling to 72.07 million yuan [1] - The company is recognized as a leading decision-making AI technology enterprise in China, focusing on marketing and sales scenarios, with its business primarily centered around intelligent advertising and data management [1] Group 2 - DeepYuan Intelligence offers AI marketing solutions through two flagship platforms: AlphaDesk for automated cross-platform advertising and AlphaData CRMAI for intelligent data management [3] - The company is at a critical juncture in the industry as 2025 is seen as the year of large-scale application of AI, raising questions about its ability to successfully list in Hong Kong and leverage capital to reverse its declining performance [3] - The challenges and uncertainties surrounding DeepYuan Intelligence's IPO journey in Hong Kong warrant ongoing attention from investors and the industry [3]