作者 | 硬 AI 编辑 | 硬 AI 近日，专注于答案引擎优化（ AEO ）的 AI Agent 平台 PallasAI 宣布完成数千万人民币融资，由香港上市公司有赞（ 8083.HK ）独家投资。这是该公司三个 月内获得的第二笔投资，此前曾获得极客公园旗下变量资本和 Founder Park 联合发起的社区早期基金的孵化投资。 PallasAI 成立于 2025 年 5 月。创始人 Ethan ，毕业于厦门大学软件工程专业，曾担任蚂蚁大模型首席架构师，拥有 10 年营销算法经验。团队核心成员均来 自阿里、蓝标及知名独角兽创业公司，兼具顶尖学术视野与亿级流量产品的营销落地能力。 与市面上大多数 GEO 服务商的路径不同，基于对技术的深刻洞察，公司认为大模型时代的 GEO ，存在服务更广泛 SMB 企业的产品化机会，让每一个受限于 成本和资源的企业品牌，都可以获取顶级营销技术支持，面向 AI 时代进行品牌营销。 公司产品 PallasAI ，是市场上首款提供标准化服务的 GEO AI Agent 。 本次融资，公司将重点用于技术升级、垂直行业解决方案落地，以及招募更多优秀人才。据了解，公司已与多个行业头部企业 ...

Core Insights - Locafy Limited has reported strong sales growth, particularly in the U.S. market, with an increase of A$156,000 in monthly subscription sales over the past two months [1][6] - The company is set to launch its Advanced AEO analytics solution by the end of calendar year 2025, which is expected to enhance its product offerings [1][2] - The Localizer product suite is gaining traction, with clients experiencing significant visibility in AI search results, which is driving further adoption [2][6] Commercial Highlights - Locafy has achieved approximately 150 subscriptions for its Localizer product, primarily driven by the U.S. market and the addition of over 50 independent State Farm agencies [6] - The Localizer Service Area Business (SAB) has been soft-launched, with initial sales completed in the U.S. market, priced at US$4,000 for implementation and a monthly subscription of US$2,000 [6] - Client success stories, such as a roofing contractor generating US$300,000 in sales in the first month of using Localizer, highlight the effectiveness of the product [5][6] Client Testimonials - Partners have reported exceptional results, including a tripling of call volume for a pool manufacturing client after using Localizer [4] - The positive outcomes from clients are contributing to increased demand and word-of-mouth referrals, indicating a scalable business model [5][6] Future Outlook - The company anticipates continued momentum through the holiday season and into 2026, supported by growing U.S. adoption and product innovation [2][5] - Locafy aims to provide comprehensive reporting and analytics to clients by the end of 2025, further demonstrating the effectiveness of its solutions [2][6]

Core Insights - The podcast features Robbie Stein, Vice President of Google Search Products, discussing the evolution of search in the context of AI advancements [2][3] - The conversation highlights how AI has not changed fundamental human needs but has expanded the ways in which questions can be asked [4][6] - Google is transitioning from traditional search to an AI-driven model that understands context and semantics, allowing for more complex queries [7][8] Group 1: AI and Search Evolution - AI has increased the complexity and variety of questions users can ask, with Google Lens search volume growing by 70% over the past year [5] - The AI model enables Google to understand the intent behind questions, effectively rephrasing them for better search results [6][7] - Google aims to make searching easier and more natural, positioning AI as an expansion of search capabilities rather than a replacement [9][10] Group 2: AI Mode and Information Retrieval - The introduction of "AI Mode" allows Google to provide comprehensive answers by breaking down questions into sub-queries and conducting parallel searches [11][15] - Google differentiates itself from general chat-based AIs by focusing on information retrieval, ensuring answers are traceable and reliable [13][14] - The shift from traditional SEO to AI Engine Optimization (AEO) emphasizes semantic relevance and context over mere keyword optimization [24] Group 3: User Interaction and Experience - AI search is evolving to remember user context, preferences, and intent, making interactions more conversational and intuitive [25][27] - The goal is to create a seamless experience where users can ask questions in various formats—text, voice, or image—without needing to adjust their approach [19][21] - Robbie emphasizes the importance of clarity and speed in product design, aiming to simplify user interactions with technology [29]