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]

Core Insights - The marketing industry is transitioning from general AI to specialized vertical optimization agents, driven by the rise of AI search with over 600 million monthly active users in China [1] - There is a growing need for systematic AI marketing services that combine technical expertise with market understanding, as traditional methods are failing to address the unique demands of different industries [1] Group 1: Industry Trends - The shift in user behavior from traditional link-clicking to AI search Q&A is making Generative Engine Optimization (GEO) a critical entry point for brands into the AI marketing ecosystem [1] - The industry faces challenges such as the inadequacy of one-size-fits-all solutions and the lack of a systematic evaluation framework for optimization effects [1] Group 2: Company Developments - iPowerAI, backed by iPlus Marketing Group, focuses on vertical AI ecosystem marketing solutions, offering customized AI marketing products and services through a collaborative multi-agent system [2] - The iPowerAI iGeo product, set to launch on July 21, 2025, aims to provide a comprehensive AI search optimization solution, enhancing brand visibility and accuracy in AI search engines [2][3] Group 3: Technological Innovations - iGeo leverages four key technological advantages to transform user inquiries into potential business opportunities, enhancing workflow efficiency and precision in AI search optimization [3] - The AI Intent Neural Network connects with buyers in real-time, optimizing search intent across multiple dimensions and scenarios [3] Group 4: Expert Opinions - Experts like Andre Meyer highlight the innovative multi-agent collaboration model driven by AI technology, which offers new solutions for various industries [4] - The transition from general model training to vertical application is seen as a pivotal moment in the AI field, emphasizing the need for brands to evolve alongside AI advancements [4]

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]