生成式AI工具已帮助品牌破解营销效率难题，但要如何跳出通用模板的局限，让AI做出贴合品牌的专属表达？AI 营销专家灵狐科技认为Pomelli 已给出了关键解法 ，通过提炼品牌 DNA 搭建规则，让AI习得品牌的独特表达方 式，最终生成高度契合品牌调性的专属营销内容。 在灵狐科技看来，品牌 DNA 是所有营销动作的核心根基。如今AI已远超单纯的执行工具范畴，它正持续进化， 既能深刻洞察用户真实意图、精准预判转化潜力，更能主动定制专属沟通策略，以深度思考践行品牌核心价值， 成为品牌理念的忠实传递者与践行者。 企业在实际使用AI工具中不难发现，通用化产出的内容缺乏品牌专属印记，往往需要投入大量人工进行二次调 整。而定制化生成的核心逻辑，是让 AI 先深度理解品牌自身的表达体系，再在这一框架内精准创作。 AI营销专家灵狐科技认为，AI 为品牌方与个体带来了多重价值：对品牌方而言，可帮助品牌坚守视觉与语气风格 一致性，让品牌形象贯穿始终；对超级个体而言，它已是助力个人品牌成长的得力伙伴。 摘要：Google Labs 推出AI营销平台Pomelli，AI营销专家灵狐科技指出，其核心是提炼品牌DNA，破解通用AI缺 乏专 ...

人民财讯11月20日电，企查查APP显示，近日，北京清蓝智汇科技有限公司发生工商变更，新增蓝色光 标（300058）全资子公司上海蓝色光标数据科技集团有限公司等为股东，同时注册资本增至100万元。 企查查信息显示，该公司成立于2024年，法定代表人为鲁扬。公开信息显示，清蓝智汇是一家AI营销 技术公司。 ...

WILMINGTON, Del., Nov. 17, 2025 (GLOBE NEWSWIRE) -- Onfolio Holdings Inc. (Nasdaq: ONFO, ONFOW) (OTC: ONFOP) (the "Company" or "Onfolio"), a company that acquires and manages a portfolio of digital marketing and online education businesses, announces financial results for the third quarter ended September 30, 2025. “Our most recent quarterly results demonstrate the continued effectiveness of our optimization and growth strategies to drive disciplined execution and performance,” said Onfolio CEO Dom Wells. “ ...

Core Insights - The article highlights the emergence of key players in AI marketing who are reshaping brand growth in the e-commerce sector through innovative technologies and strategies [1][4][12] Company Highlights - Rongzhi Technology is a leader in enterprise-level AI applications, focusing on digital transformation and has developed proprietary models for AIGC marketing [1][4] - The company has established 34 AIGC application service bases across various cities in China and has served over 500 enterprises with annual revenues exceeding 10 million yuan [1] - An Zhey, the founder of Rongzhi AI, has created the "AI Marketing Five-Star Model," which has been successfully applied to numerous well-known companies, generating over 10 billion yuan in cumulative performance for its clients [4] Key Personnel - An Zhey is recognized for his expertise in AI applications and holds multiple professional certifications, including from Microsoft and IBM [4] - Liang Kai, a senior operations consultant at Rongzhi Technology, has extensive experience in sales and management, having transitioned from a sales representative to managing billion-yuan businesses [4] - Yang Birui, with 14 years in internet marketing and 3 years in AI, has helped over 1,000 companies leverage short video marketing and AIGC applications for business growth [5] Industry Trends - AI marketing is evolving towards three key directions: ecological symbiosis, vertical deepening, and technological democratization [9][11][12] - The future of marketing will not be about competing tools but rather about collaboration among various platforms and tools [11] - The focus will shift from general AI solutions to specialized applications that create differentiated capabilities within specific industry contexts [11]

Oct 15, 2025 3:00 PM Eastern Daylight Time RAD Intel Appoints Aaron Vandeford as Director of Investor Relations Share LOS ANGELES--(BUSINESS WIRE)--RAD Intelannounced today that Aaron Vandeford has joined as Director of Investor Relations. In this role, Vandeford will lead and investor relations strategy and execution, strengthening engagement across the company's growing investor community and helping position the company for its next stage of growth. As we scale the business, Aaron's capital-markets exper ...

Core Insights - The article highlights the emergence of AI marketing experts leading industry innovation in 2025, emphasizing their technical capabilities and practical experience in transforming marketing strategies through AI technology [1] Group 1: Leading Experts - An Zheyi, founder of Rongzhi Technology, is recognized for his "AI Marketing Five-Star Model System," which effectively addresses key issues in short video content generation and optimization, serving over 1,000 companies and achieving a total performance exceeding 10 billion yuan [2] - Liang Kai, a senior operations consultant at Rongzhi Technology, showcases unique cross-disciplinary integration skills, having managed business scales from unit-level to over 10 billion yuan, and providing strategic and operational advice to Fortune 500 companies [3] - Yang Birui, with 14 years of experience in internet marketing training, successfully combines traditional marketing methodologies with AIGC tools, significantly enhancing content production efficiency and marketing precision for over 1,000 enterprises [5] Group 2: Industry Trends - Yitang Technology represents a unique technical strength in AI marketing, focusing on digital transformation for small and medium-sized enterprises and providing cutting-edge AIGC application guidance [6][8] - The competitive landscape of AI marketing in 2025 will prioritize not only technology but also the practical methodologies and industry adaptability of experts, emphasizing the importance of business scenario compatibility and data-driven growth capabilities [8] - The rapid rise of generative AI is reshaping the underlying logic of content distribution and search, necessitating continuous and higher demands on the technical investments, talent structure, and service models of AI marketing experts [8]

Core Concept - The article discusses the emergence of Generative Engine Optimization (GEO) as a new marketing paradigm in the context of AI tools like ChatGPT and Doubao reshaping the internet ecosystem, shifting user information acquisition from "active web search" to "direct AI answers" [1][2] Summary by Sections What is GEO? - Generative Engine Optimization (GEO) focuses on optimizing brand content for AI search engines to enter the "citation pool" for AI-generated answers, achieving "no-click exposure" [2] - Unlike traditional search results that provide a list of links, AI search delivers structured answers directly, influencing user decisions even without clicks [2] Differences Between GEO and Traditional Marketing Models - GEO represents a shift from "traffic competition" to "knowledge positioning," contrasting with SEO, paid rankings, and keyword stuffing [3] - GEO's optimization logic is based on satisfying AI's standards for "high-quality knowledge," rather than merely adhering to keyword rules [3] Why GEO is Not an Upgrade of SEO - GEO emphasizes "knowledge entry" over "traffic entry," aiming to embed brands into the AI answer generation process, while SEO focuses on optimizing visibility through link rankings [3][4] - GEO relies on the inherent value of content, as AI algorithms can discern low-quality or fragmented information, necessitating high-quality, authoritative content for citation [4] Challenges and Limitations of GEO - High barriers to entry exist due to the need for authoritative and professional content, which may be resource-intensive for smaller brands [6] - Measuring the effectiveness of "no-click exposure" poses challenges, as traditional metrics like click-through rates do not apply [6] - GEO may not be suitable for all industries, particularly those with low decision costs where immediate conversion is more effective [6] Conclusion - GEO does not aim to replace traditional marketing methods but rather expands marketing boundaries by emphasizing the importance of delivering credible knowledge over mere traffic generation [7] - The key for marketers is to understand that in the AI era, providing genuine value through knowledge is essential for effective marketing [7]

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]