景德镇鸡排哥的爆火，给所有营销人上了一堂" 流量觉醒课 "—— 他靠"痛苦面具炸鸡排"8天涨粉8.8万 ， 连 AI 都追着给他喂流量 ；而拿着百万预算的营销人，却还在为搜索结果排不上首页发愁。 更气人的是，他的"三秒递鸡排法"被AI拆成服务案例，"炸不好就砸锅"的碎碎念成了AI推荐金句，而我们花300万拍的品牌故事，AI连看都不看一眼。 原来不是我们不会做营销，是我们没搞懂： 2025年的流量，早被AI按"能不能拆"的标准重新分配了。 其实他能火，不是运气好，而是无意间踩中了生成式引擎优化（GEO）的3个核心真相。这3个真相，决定着2025年你的营销预算能不能花在刀刃上。 今天这篇，所有还在为流量焦虑的营销人，建议认真读到最后。 一、鸡排哥的"流量密码" 藏在生成式引擎的算法里 很多品牌学鸡排哥，只看到了"碎碎念金句""学生优惠"，却没看懂他无意间踩中的GEO（Generative Engine Optimization）三大红利： • 情绪标签自动化抓取 ："炸不到位无法原谅自己"的匠人语录，被AI自动归类为"责任感""幽默"标签，当用户搜索"有态度的小吃摊"时优先推荐； • 流程场景化拆解 ："三秒递鸡 ...

SEO是什么意思：一文读懂从技术（术）到生态（道）的战略跃迁 当您在搜索框中敲下"SEO是什么意思"时，您寻找的，或许不只是一个简单的技术定义，而是一个关乎企业在数字时代如何生存、竞争并实现可持续增长的 核心密码。我是君哥（袁文君），在SEO这个领域深耕多年，我看到太多企业将SEO优化等同于"做排名"，沉迷于关键词的短期波动，却忽视了其背后真正 的战略价值。今天，我想彻底颠覆您对SEO的传统认知。我们必须明白，真正的SEO，早已不是一项孤立的技术（术），而是构建企业全域增长护城河的顶 层设计（道）。 传统的SEO，即搜索引擎优化（Search Engine Optimization），其核心是通过一系列技术和策略，提升网站在百度、谷歌等搜索引擎中的自然排名，从而获取免费流量。这包括了网站SEO优化、关键词 SEO排名、内容建设、外链发布等一系列操作。然而，在流量见顶、获客成本飙升的今天，这种"流量工兵"式的打法已经难以为继。单纯追求排名的SEO， 就像是在一片日益贫瘠的土地上疯狂挖掘，最终只会陷入内卷的泥潭。 因此，我提出了"君哥GEO"（Global Ecological Operation，全球生态运营） ...

"That's when a lightbulb went off and I was like, 'I need to get good at residential,'" said Ray.His first residential job took three hours and earned him about $300.Ray spent about a year cleaning brick-and-mortar storefronts. Residential didn't cross his mind until the general manager of one of his commercial clients asked if he'd clean his house windows.Ray, whose second and third clients were a hair salon and a wing shop, called his side hustle Geek Window Cleaning ."I walked in the door because their w ...

Hello everyone. Good afternoon. First of all, why do some people achieve the impossible while others quit after failing once.This is a question that has uh been an obsession for me throughout my life. Uh I am Survey Shasta. Last week I was ranked the number one SEO globally by Favicon.I run a sixf figureure market uh SEO and digital marketing agency with 20 plus uh team members. Over 70,000 uh businesses follow me on LinkedIn and X for SEO advice and I was recently awarded uh at Global Excellence Awards as ...

Question-and-Answer SessionBrent BracelinPiper Sandler & Co., Research Division One of the questions we're fielding from investors for a lot of product-led growth companies, for a lot of direct sales companies is the change in search patterns. As we think about AI engine optimization, search engine optimization, we're seeing a big change in traffic patterns at these large companies. What do you see from your standpoint as you enable these companies' go-to-market engines that's changing because of a drop in ...

Core Insights - The article discusses the significant shift in search behavior due to AI-driven chat search tools, which have captured 5% of desktop search traffic in the U.S. as of early 2024, up from 1.3% earlier in the year, indicating a critical turning point in user habits [2] - The traditional SEO model is being replaced by a new paradigm termed "GEO + AI ecosystem cultivation," emphasizing the need for brands to adapt to this change [2] Group 1: Foundational Changes in Search - The rise of AI search tools marks a departure from the conventional "keyword + click" model to a direct answer retrieval approach, disrupting established SEO practices [2] - Historical data suggests that surpassing a 3% user habit threshold indicates a significant shift, which has now been achieved by AI search tools [2] Group 2: Company Background and Development - Profound was founded by James Cadwallader and Dylan Babbs, who recognized the need for brands to maintain visibility in AI-generated answers [5] - The company completed its angel funding round in spring 2024 and launched its MVP in summer 2024, quickly attracting major clients and securing a total funding of $58.5 million by August 2025 [7] Group 3: Founders' Profiles - James Cadwallader is noted for his marketing acumen and ability to drive brand growth through content, while Dylan Babbs brings technical expertise from his experience at Uber [9][10] Group 4: Product Overview - Profound's platform serves as a comprehensive tool for tracking AI visibility, optimizing content for AI answers, and generating new content based on AI preferences [12] - The platform includes modules for AI visibility tracking, Answer Engine Optimization (AEO), and content creation with gap analysis [13][14][15] Group 5: Case Study - Lake.com utilized Profound's services to enhance its visibility in AI platforms, resulting in a fivefold increase in organic traffic and a 50% visibility rate in AI-generated answers for non-branded keywords [16][18] Group 6: Implications for the Chinese Market - The article highlights a similar trend in China, where AI search products are gaining traction, and emphasizes the importance for brands to establish an AI answer optimization system early on [22] Group 7: Future Outlook - The article posits that brand operations will increasingly involve long-term collaboration with AI models, suggesting that neglecting this aspect could lead to brand invisibility in the consumer landscape [25]

Core Insights - A silent traffic revolution is occurring, with user decision paths shifting from "search-click-conversion" to "ask-AI answer-direct order" [2] - Brands not appearing in AI-generated answers risk becoming invisible in a trillion-level traffic landscape, necessitating the integration of GEO optimization and matrix account operations [2] Group 1: GEO Optimization - GEO (Generative Engine Optimization) is a strategy aimed at making brand content a "trusted source" in AI-generated answers, differing from traditional SEO [2] - The three core values of GEO optimization include intercepting zero-click conversions, building a trust system, and reducing customer acquisition costs [2][4] - 43% of users complete decisions directly in AI engines without clicking brand links, highlighting the importance of GEO [4] Group 2: Matrix Account Strategy - The golden triangle model of matrix accounts is essential for effective GEO strategy implementation, with 70% of top creators' income derived from collaborative operations [4] - A manufacturing client saw a 200% increase in inquiry volume within three months by transforming metal processing techniques into visual knowledge IP [4] - The matrix account structure includes a main account for authority, niche sub-accounts for long-tail coverage, and private accounts for conversion [5] Group 3: Content Production and Distribution - Transforming product core selling points into AI-friendly FAQ modules is crucial for visibility [6] - A five-step process for effective content production includes creating structured data, laying out trust assets, producing AI-driven content, tracking performance, and distributing through a triangular matrix [6] - Automation tools can significantly reduce content production costs and improve operational efficiency [8] Group 4: Industry Trends and Recommendations - Platform algorithms are evolving to favor the collaborative effects of matrix accounts, with AI search volume expected to exceed 30% in the next three years [8] - Companies are advised to start building test matrices in small verticals and utilize intelligent tools to lower content production costs [8] - Establishing a new evaluation system centered on "AI citation frequency" is recommended for data-driven decision-making [8]

Core Insights - iStock emphasizes the importance of incorporating visual content in SEO strategies for small and medium-sized businesses (SMBs) to remain competitive in an AI-driven market [1][2] SEO Trends and Insights - SEO remains a top skill that SMBs globally wish to learn, with 60% of respondents creating and sourcing their own content, often utilizing generative AI for visual concept development [2][3] - Traditional SEO practices are still crucial, including using descriptive file names, primary keywords, alt text, and appropriate image formats to enhance online presence [5] Video Content Utilization - Video content is underutilized by SMBs, with only 11% incorporating it into their strategies, despite 74% of people globally turning to video for learning and inspiration [5] AI Integration in SEO - AI tools can enhance SEO workflows, including copywriting, keyword research, and image generation, with a recommendation for A/B testing AI-generated content to measure engagement [5] - A significant 86% of consumers believe AI-generated content should be clearly labeled, indicating the importance of transparency in content creation [5] Generative Engine Optimization (GEO) - SMBs are encouraged to align SEO with GEO to leverage AI-powered generative search engines, analyzing traffic data to understand the impact on brand visibility [5]

Core Insights - The article discusses the transformative impact of AI on consumer behavior and brand visibility, emphasizing the shift from traditional SEO to a new paradigm where AI acts as a direct recommendation source for consumers [5][9][11]. Group 1: AI's Role in Consumer Decision-Making - Consumers are increasingly relying on AI tools like ChatGPT for hotel recommendations, reducing the need for traditional comparison methods [3][4]. - AI's ability to provide quick, confident recommendations positions it as a powerful influencer in consumer choices, creating a "reputation battle" among brands [3][4]. Group 2: Shift from SEO to GEO - The traditional SEO market, valued at over $80 billion, is facing disruption as search behavior shifts towards large language models (LLMs) [6]. - Brands must adapt to a new landscape where visibility is determined by how often they are mentioned in AI-generated responses, rather than traditional search rankings [9][10]. Group 3: Brand Management in the AI Era - Brands need to actively manage their online presence to ensure they are positively represented in AI outputs, as over 40% of users may not click on original sources [7][10]. - Companies are leveraging AI monitoring tools to understand how their brand is perceived in AI-generated content, allowing for proactive reputation management [10][11]. Group 4: Strategies for Brands - Brands should create a "brand recognition map" using AI tools to identify how they are described in AI responses, enabling them to address potential biases or misinformation [13]. - Developing clear, structured content that is easily digestible by AI is crucial for brands to be favorably mentioned in AI outputs [14]. - Establishing a cross-departmental response mechanism is essential for brands to maintain visibility and trust in the AI-driven landscape [15][17].

SEO Trends - The report discusses the future of SEO and what might come next [1]