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Perplexity CEO谈新型AI搜索商业化进展:自研浏览器、规模化分销和内容收入分成
3 6 Ke· 2025-06-12 06:15
近日,在今年的彭博科技峰会上,Perplexity联合创始人兼 Arvind Srinivas在与彭博的访谈中发表了对搜 索入口类大模型产品竞争能力的看法。 Perplexity为一家专注于AI搜索引擎应用的初创公司。据《金融时报》消息,Perplexity正在进行新一轮5 亿美元融资谈判,最新估值近140亿美元。今年2月,公司宣布计划推出融合AI智能体功能的浏览器 Comet,Comet的beta版本于5月正式上线。 4月,Perplexity与摩托罗拉正式签约,将在摩托罗拉手机上预装其AI助手Perplexity Assistant。另据 CNBC近日报道,Perplexity将与三星达成协议,计划将其AI助手集成到S26手机中,成为三星手机的默 认设置产品。苹果副总裁近期也开始与Perplexity进行商业接洽。与手机硬件商的合作,将大幅加快 Perplexity的模型训练、规模化部署和变现的速度。 此前,Arvind在CNBC采访中表示:"在大模型搜索引擎中,Perplexity能提供目前最便宜的API,而且准 确度也最高,高于谷歌和OpenAI。不过,我认为AI问答服务最终将变成一种商品(commo ...
喝点VC|a16z谈搜索大变局:搜索迈入由语言模型主导的“生成式引擎优化(GEO)”全新范式
Z Potentials· 2025-06-12 04:24
传统搜索基于链接构建,而GEO的核心是语言。 图片来源: a16z Z Highlights 本文作者 Zach Cohen 和 Seema Amble 是 a16z 的合伙人。 Zach Cohen 专注于企业软件和人工智能领域的投资,特别是生成式 AI 、机器学习基础设施和开发者工 具。 Seema Amble 专注于全球软件即服务( SaaS )和金融科技领域的投资,特别是 B2B 金融科技、支付和垂直行业软件。这篇文章是 Zach Cohen 与 Seema Amble 共同参与的关于生成式搜索技术颠覆传统 SEO 生态的研究,于 2025 年 5 月 28 日发布在 a16z 官网。 我们熟知的搜索时代已近尾声,而营销人员对这一变革的感受颇为复杂。 二十余年来,搜索引擎优化(SEO)始终是网络曝光的核心策略。这一领域催生出完整的产业生态,涵盖关键词堆砌者、反向链接中介、内容优化师、审计 工具及运营这些环节的专业机构。但在2025年,搜索行为正从传统浏览器向大型语言模型(LLM)平台迁移。随着苹果宣布将Perplexity、Claude等原生AI 搜索引擎集成至Safari,谷歌的流量分发垄断地位受到 ...
人工智能初创公司Perplexity 5月搜寻量高达7.8亿次,按月增20%
news flash· 2025-06-06 06:27
Core Insights - Perplexity's AI search engine is experiencing remarkable growth, with search volume reaching 780 million in May, a 20% month-over-month increase, potentially leading to 1 billion queries per week within a year [1] - The daily query volume has surged from 3,000 at the company's inception in 2022 to 30 million currently [1] - The development of the Comet browser is seen as a crucial growth driver for Perplexity, as many users are dissatisfied with traditional browsers like Google Chrome [1] - The CEO criticized Google's AI assistant as a "terrible product," accusing the tech giant of repeatedly launching similar AI features without delivering real value to users [1]
从0到1:GEO优化公司教你打造区域化搜索流量闭环
Sou Hu Cai Jing· 2025-06-06 04:17
在数字化营销时代,区域化搜索流量已成为企业精准触达本地客户、提升品牌影响力的关键。然而,如何构建一个从流量获取到转化变现的完整闭 环,却是许多企业面临的难题。GEO优化公司凭借其专业的技术和丰富的经验,为企业提供了打造区域化搜索流量闭环的有效路径。 四川今标网络科技有限公司作为AI搜索优化领域的创新企业,凭借其自主研发的AI搜索优化技术生态,为企业打造区域化搜索流量闭环提供了全方位 的支持。 1.1 智能语义分析与精准流量获取 四川今标的智能语义分析引擎基于Transformer架构,能够深度理解用户查询意图。例如,当用户搜索"成都火锅"时,系统不仅能识别"火锅"这一关键 词,还能结合地理位置信息"成都",精准匹配本地火锅店。这种智能语义分析能力,使得企业能够获取更多高质量的区域化搜索流量。 1.2 动态内容生成与用户参与度提升 通过动态内容生成系统,四川今标能够根据用户需求生成多模态内容。例如,为成都火锅店生成包含菜品图片、顾客评价和位置信息的动态页面,提 高用户参与度和点击率。这种个性化内容生成能力,有助于提升区域化搜索流量的转化率。 1.3 知识图谱构建与搜索结果优化 四川今标的知识图谱构建平台能够整合 ...
AI搜索飙升!Perplexity披露数据:5月搜索量达7.8亿次,环比增长超20%
Hua Er Jie Jian Wen· 2025-06-06 03:22
AI搜索新贵Perplexity崛起,单月查询量飙升至达7.8亿。 当地时间周四,Perplexity首席执行官Aravind Srinivas在一场公开会议上透露,这家AI搜索引擎在5月处 理了7.8亿次查询,实现了超过20%的环比增长。 "这需要我们拥有一个浏览器,并以最无缝的方式混合使用客户端和服务器端的计算能力。 这就需要我们重新思考整个浏览器的概念。" 对比2022年公司成立初期,单日查询量仅为3000次,如今已飙升至每天3000万次查询。 Srinivas在会上表示,这是一个"令人惊讶的增长": "如果能维持当前增长率,一年后我们每周将处理10亿次查询。" 从被动应答到主动执行,公司重点押注其Comet浏览器 Perplexity正在开发的Comet浏览器被定位为公司增长的重要引擎。Srinivas强调,浏览器将为公司带 来"无限留存"的优势: "如果用户使用浏览器,他们在搜索栏、新标签页、边栏上的所有操作,甚至他们浏览的所 有页面,都将转化为每个活跃用户产生的额外查询。" Perplexity开发Comet的核心理念是改变AI的角色定位,从仅提供答案转变为代表用户执行操作。 Srinivas解释 ...
Google search judge scrutinizes AI power in trial resolution
TechXplore· 2025-06-02 12:00
Core Perspective - The federal judge is evaluating how to limit Google's monopoly in search while considering its advantages in artificial intelligence, aiming to minimize harm to other market players [1][2]. Legal Proceedings - The U.S. District Court is hearing the government's monopoly case against Google, with Judge Amit Mehta poised to decide on potential breakups or penalties for the company [2]. - The Justice Department is proposing long-term measures to address Google's illegal monopoly in the online search market, which could extend to generative AI [4][10]. AI Considerations - Judge Mehta is contemplating whether curbing Google's dominance in generative AI is a suitable approach to tackle its search monopoly [3]. - The emergence of AI chatbots is viewed as a significant threat to traditional search engines, as they provide direct answers to user queries [9]. Agreements and Payments - Central to the case are Google's agreements with Apple and others, where Google pays billions annually to be the default search engine, with the DOJ seeking to bar these payments [5][7]. - The potential ban on payments could have widespread market implications, affecting browser companies and device makers [8]. Market Dynamics - Google's lawyers argue that banning payments would disadvantage consumers and smaller companies, benefiting larger rivals like Microsoft [7]. - The court is considering the balance between fixing the search market and potentially harming other sectors [8]. Competitive Landscape - The Justice Department believes that proposed remedies could enable new search engines to emerge, particularly in light of advancements in AI [4]. - AI companies have testified that Google's contracts hinder their ability to compete, with some expressing interest in acquiring Google's Chrome if divestiture occurs [14][15]. Government's Position - The government maintains that its proposals are necessary to foster competition and does not dispute the potential private impacts of its actions [8][10]. - Judge Mehta is focused on creating a competitive environment rather than simply penalizing Google, indicating a desire to support potential rivals [16].
Palantir vs. Alphabet Stock: Wall Street Says Buy One and Sell the Other
The Motley Fool· 2025-06-02 08:50
Core Insights - The article discusses the contrasting market outlooks for Palantir Technologies and Alphabet, both of which are leveraging AI for growth [1][2][3] Palantir Technologies - Palantir's AI Platform (AIP) has significantly boosted its growth, particularly among U.S. corporations, leading to a 54% increase in U.S. commercial revenue in 2024 and over 70% year-over-year growth in Q1 2025 [6][8] - Analysts have set a median price target of $100 for Palantir, indicating a potential 20% downside over the next 12 months, with only six out of 28 analysts rating the stock as overweight or buy [7] - Despite strong revenue growth, Palantir's valuation is extremely high, trading at over 75 times expected sales and more than 160 times forward EBITDA estimates, suggesting potential lower-than-average returns for investors [9] Alphabet Inc. - Alphabet has faced regulatory challenges, including a court ruling regarding its monopoly status in search technology, which may require divestitures of certain assets [10][11] - Despite these challenges, Google Search revenue grew by 10% year-over-year in Q1, driven by the integration of AI features that enhance user engagement and satisfaction [12] - Alphabet's Google Cloud business experienced a 28% year-over-year revenue growth in Q1, with an operating margin increase of 8.4 percentage points to 17.8%, indicating strong demand for its services [14] - The stock is currently valued at 18.2 times forward earnings estimates, presenting a favorable price for a company with diverse revenue streams and growth potential despite regulatory pressures [15]
百度SEO全解析,新手必读的实用指南!
Sou Hu Cai Jing· 2025-05-31 10:38
关键词策略: 百度对长尾词响应更精准,建议采用"3层布局": - 核心词(如"SEO教程") - 扩展词(如"百度SEO入门指南") - 场景词(如"2025 年SEO最新规则") 什么是百度SEO? 百度SEO(Search Engine Optimization)即搜索引擎优化,特指针对百度搜索引擎的优化策略。核心目标是通过技术手段和内容优化,提升网站在 百度自然搜索结果中的排名,从而获得更多免费流量。与谷歌SEO不同,百度SEO更注重本地化规则,包括: 为什么百度SEO对新手至关重要? 百度占据中文搜索市场70%以上份额,但新手常陷入误区:"为什么我的内容优质却无排名?" 答案在于百度算法优先考量: 百度SEO的核心优化维度 1. 移动优先索引:百度已默认使用移动版内容进行排名 2. HTTPS加密:未部署SSL证书的网站排名受限 3. Robots.txt配置:避免误屏蔽重要目录 4. 结构化数据:使用JSON-LD标记提升富片段展示几率 百度特有的排名因素 - 熊掌号历史权重(已下线但影响遗留) - 百家号内容联动(站内生态优先展示) - 地区性匹配(如"北京SEO培训"会优先本地结果) 据2025 ...
谷歌搜索推出AI模式:便捷背后的“坑”
Huan Qiu Wang· 2025-05-30 02:22
Core Viewpoint - Google's newly launched AI search feature, known as AI mode, has garnered significant attention but has also faced criticism for inaccuracies in its responses [1][4]. Group 1: AI Mode Functionality - The AI mode appears directly in the search interface, providing AI-generated answers alongside a list of related links when users input queries [1]. - Users have reported mixed experiences, with some finding the AI mode convenient but also noting numerous errors in the information provided [4]. Group 2: User Experience - In testing, users attempted to use AI mode for various tasks, such as planning a birthday party and finding car wash services, but encountered unsatisfactory results [4]. - Specific examples include the AI mode suggesting parks without picnic tables and misrepresenting the cost of car wash services, which were significantly higher than indicated [4]. Group 3: Potential and Future Improvements - Despite the shortcomings, the AI mode demonstrated potential in product research, efficiently generating comparison tables for items like child car seats [4]. - Google has acknowledged that AI mode is still in its early stages and plans to improve it based on user feedback, emphasizing that it will complement traditional search rather than replace it [4].