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]

作为iPowerAI双螺旋DNA的里程碑式实践落地，iGeo凭借四大技术优势，为品牌提供四大核心模块 价值，让用户的每一次提问都能成为品牌的潜在商机。 由十大AI Agent集群自部署自驱动的GEO大模型产品：可通过持续训练、学习，实现自我优化与进 化，让AI搜索优化的全链路工作流效率更高、效果更精准。 原标题：告别"通用AI"，营销行业迎来首个垂直优化Agent 随着中国AI搜索的月活用户突破6亿，用户的搜索行为从传统引擎的链接点击向AI搜索问答式迁 移，GEO（生成式引擎优化）已成为品牌进入AI营销生态的重要入口，也成为品牌主们最关注的大热 话题之一。 然而，行业风口的背后却暗藏乱象：懂技术≠懂市场，品牌营销诉求的动态性变化不是唯技术论就 能解决的；通用型产品"一刀切"，无法解决不同行业、处于不同发展阶段的品牌主的差异化生意诉求； 尝试依靠SEO关键词优化的老思路"换壳重生"，无法解决AI时代的新问题； 优化效果缺少系统化的评 估体系等等。品牌主急需专业性及技术性兼具的系统化AI营销服务。 由iPlus艾加营销集团投资并孵化的iPowerAI元力科技，凭借独有的"技术深度×行业厚度"双螺旋 DNA，聚焦垂 ...

Core Insights - Generative AI is transforming information retrieval paradigms, shifting user behavior from traditional "search-filter" to a conversational "ask-answer" interaction [1] - The launch of iPowerAI iGeo marks the introduction of the first domestically developed GEO model product driven by a cluster of ten AI agents, providing a comprehensive AI search optimization solution for brands [2] Group 1: Technological Challenges - The current GEO practices face significant technical challenges in bridging the gap between technology and marketing needs, including a lack of tailored solutions for vertical industries [1] - There is a superficial understanding of user intent, making it difficult to capture complex and dynamic search motivations [1] - The semantic gap across models leads to fragmented brand recognition across different AI engines [1] Group 2: Product Features - iPowerAI iGeo is the first product to feature an AI intent neural network, an AI visibility vector engine, and an automated brand value decoder [2] - The product establishes a closed-loop self-evolving technical system, offering a full-stack technical framework to address the core challenges of "collaboration-understanding-quantification" [2]

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]