The Prompt: SEO Is Dead. What Comes Next? https://t.co/15ahIzhyu8 ...

The Prompt: SEO Is Dead. What Comes Next? https://t.co/7AipR25G25 https://t.co/7AipR25G25 ...

SEO Trends - The report discusses the idea that "SEO Is Dead" and explores what might come next in the field [1]

SEO Trends - The report suggests a shift in SEO strategies, implying traditional methods may be evolving [1] - The industry is exploring what will replace or augment current SEO practices [1] Content Focus - The focus is on the future of SEO and potential new approaches [1]

SEO Opportunity - Instagram SEO 提供了一个绝佳的机会，可以提高企业家在 Google 上的知名度 [1] - 行业可以通过采取一些措施来增加 Instagram 内容在搜索引擎上显示的机会 [1] Actionable Steps - 报告建议采取具体步骤来优化 Instagram 内容，以提高在 Google 搜索结果中的排名 [1]

Core Insights - The article discusses the significant impact of AI technologies, particularly ChatGPT, on the traditional SEO industry, which is valued at $75 billion, and how it is transitioning towards a new paradigm known as GEO (Generated Engine Optimization) [1][7][16] Group 1: SEO Industry Overview - SEO has evolved into a multi-billion dollar industry focused on improving natural search results and ensuring visibility on search engines like Google [1][2] - The traditional SEO practices are being challenged by AI-driven search engines that provide direct answers to users, reducing the need for users to click through to websites [2][5] - The average query length is expected to increase from 4 words in traditional search to 23 words in AI search by 2025, indicating a shift in user behavior [3] Group 2: Impact of AI on Search Behavior - AI search engines are changing user interaction, with session durations increasing from 30 seconds to 6 minutes, and zero-click results expected to rise from 35% to over 60% [3] - The conversion rate is projected to improve from 2%-3% in traditional search to over 12% in AI search, highlighting the effectiveness of AI in delivering relevant information [3] Group 3: Transition from SEO to GEO - The shift from SEO to GEO emphasizes the need for content to be structured in a way that is easily digestible by AI, focusing on semantic blocks rather than traditional keyword stuffing [7][8] - Companies are encouraged to create content that is easily quotable and structured to improve chances of being referenced by AI models [9][10] - The new metrics for success are shifting from click-through rates (CTR) to reference rates, which track how often a brand is mentioned in AI-generated responses [8][9] Group 4: Industry Response and Future Outlook - The SEO industry is experiencing turmoil, with many professionals facing layoffs as they adapt to the new landscape dominated by AI [6][16] - New startups are emerging, focusing on AI optimization and marketing, raising significant funding to help brands navigate this transition [10][11] - The future of marketing will focus on how well brands can be integrated into AI responses, rather than traditional search rankings [16]

Core Viewpoint - Meme stocks, which gained notoriety during the 2021 GameStop saga, are experiencing a resurgence, with significant price movements in stocks like Kohl's and Opendoor Technologies driven by social media activity [1][4]. Group 1: Meme Stock Activity - Shares of Kohl's and Opendoor Technologies have surged following posts on Reddit and X, aimed at boosting heavily shorted shares [3][5]. - Opendoor Technologies saw its stock price increase by 144%, rising from approximately $1 per share [5]. - Kohl's shares also experienced a notable rise, attributed to a post from a user on a subreddit forum [5]. Group 2: Locafy Limited Overview - Locafy Limited, a SaaS company focused on proximity-based search engine optimization, has seen its shares decline by 91% since going public in March 2022 [6]. - The company reported a 28% revenue decline to $518,000 for the quarter ending September 2024, alongside a loss of $36,000 [6]. - Locafy has a significant short interest of nearly 60%, indicating potential for meme stock behavior [4][7]. Group 3: Potential for Growth - The global SEO software market is projected to grow at a compound annual growth rate of 13.5%, from $74.6 billion in 2024 to $154.6 billion by 2030 [12]. - Locafy could benefit from local search demand, as 46% of Google searches have local intent, and 76% of consumers visit a business within a day of a local search [12]. - Recent strategic partnerships have the potential to expand Locafy's reach to approximately 10,000 end users, generating over $35,000 in new monthly recurring revenue [12]. Group 4: Challenges and Risks - Locafy faces liquidity concerns, with a current ratio of 0.92, indicating potential difficulties in meeting short-term obligations [12]. - The company is also dealing with intense competition from larger SEO software firms, which may hinder its growth prospects [12]. - High volatility is evident in Locafy's stock, with a beta of 1.82, making it 82% more volatile than the S&P 500 [12].

Core Viewpoint - The article discusses the shift from traditional search engines to AI-driven search methods, emphasizing the importance of Generative Engine Optimization (GEO) for brands to enhance their visibility and credibility in the AI search era [1][3][4]. Group 1: Transition from Traditional Search to AI - The traditional search model required users to sift through numerous links, while AI provides direct, integrated answers, reducing consumer decision-making touchpoints [3][4]. - Gartner predicts a 25% decline in traditional search volume by 2026, with natural search traffic potentially decreasing by over 50% [3]. - A survey by Accenture indicates that 72% of consumers frequently use generative AI tools, with half relying on AI recommendations for purchases [3]. Group 2: Emergence of GEO - GEO represents a new marketing direction where brands must focus on being mentioned by AI rather than just being searchable [4][5]. - Companies need to adopt new optimization strategies to ensure their content is recognized as a credible source by AI engines [4][5]. Group 3: Creating AI-Friendly Content - Brands should create high-quality, structured content that is authoritative and comprehensive to increase the likelihood of being referenced by AI [8][9]. - The process of generating AI responses involves data collection, processing, and optimization, where content quality and relevance are crucial [9][12]. - Key factors influencing content citation by AI include quality, credibility, timeliness, and readability [9][12]. Group 4: Strategies for Enhancing Content Credibility - Incorporating authoritative quotes, industry reports, and expert opinions can enhance content credibility [11]. - Engaging with users through social media and encouraging user-generated content can provide additional references for AI [11][10]. Group 5: The Relationship Between GEO and SEO - Despite the rise of GEO, traditional SEO remains relevant, as both can coexist and complement each other [15][16]. - SEO can enhance the overall quality of a brand's website, making it more likely to be referenced by AI, while also providing insights into user behavior that can inform GEO strategies [15][16].

Core Viewpoint - The article discusses the emergence and rapid growth of Generative Engine Optimization (GEO) as a new marketing strategy in the advertising industry, driven by the increasing influence of AI in consumer decision-making and the need for brands to be recognized by AI systems [1][5][26]. Group 1: Market Demand and Growth - The GEO market in China is estimated to be around 2.1 billion yuan this year, which is only one-tenth of the SEO market, but it is projected to grow to 24.2 billion yuan by 2027, surpassing SEO by double [1]. - Many brands are now actively seeking GEO services, asking agencies how they can outperform other GEO service providers and how quickly they can see results [1][2]. Group 2: Current State of GEO - GEO is still in its developmental stage, likened to the early chaotic days of internet marketing, with some companies generating low-quality content in bulk and others making unmeasurable promises of effectiveness [2][14]. - The operational mechanics of GEO involve embedding brand information into AI responses, contrasting with traditional SEO which focused on improving webpage rankings [5][6]. Group 3: Service Providers and Offerings - The GEO service market is divided into two main types: one offers customized services based on analyzing a company's presence on AI platforms, while the other follows a traditional SEO model charging per keyword [6][7]. - Pricing for GEO services varies significantly, with some companies charging from several thousand to tens of thousands of yuan depending on the service package [17]. Group 4: Content Optimization Strategies - Effective GEO strategies include three main content optimization tactics: semantic depth, data support, and authoritative sources [10]. - GEO service providers also focus on correcting AI-generated inaccuracies, which is becoming an essential part of their offerings [12]. Group 5: Challenges and Risks - The current GEO landscape is characterized by a lack of clear rules and standards, leading to potential "black hat" practices where low-quality content is produced to manipulate AI responses [14][18]. - The effectiveness of GEO is difficult to measure, as traditional metrics used in SEO do not apply, and many service providers rely on vague performance guarantees [15][19]. Group 6: Future Outlook - There is optimism that as AI platforms evolve, clearer regulations and standards for GEO will emerge, similar to those seen in the SEO industry [27]. - The integration of advertising into AI responses is anticipated, which could lead to a more structured commercial environment for GEO, enhancing its value and effectiveness [26][27].

Group 1 - The article discusses the evolution of AI technology and its integration into various devices, transitioning from PCs and smartphones to future applications in AR/VR, smart cars, drones, and humanoid robots [1][2][4]. - It highlights the shift from traditional input methods, such as physical keyboards, to voice-based interactions, particularly among different age groups [5][6]. - The article raises questions about the relevance of enterprise management software in an era where input and output capabilities are diminishing with new technologies [6][7]. Group 2 - The transition from search engines to AI models for information retrieval is emphasized, with companies adapting their content to be more accessible to AI models through MCP (Model Compatibility Protocol) [8][10]. - The article notes the trend of companies globally opening APIs and integrating with public AI models, while in China, there is a focus on private deployments of domestic models like DeepSeek [15][16]. - It categorizes enterprise personnel into three layers: decision-making, management, and frontline execution, and discusses the use of AI in enhancing decision-making and execution processes [18][19]. Group 3 - The article explores the relationship between AGI (Artificial General Intelligence) and AIGC (AI Generated Content), suggesting that both capabilities are being developed simultaneously [20]. - It identifies AI-generated code as a critical intersection of AGI and AIGC capabilities, allowing AI to expand its functionalities [22]. - The challenges of traditional enterprise management software, particularly the inflexibility of hard-coded solutions, are discussed, along with a new approach using AI to generate and optimize code for specific tasks [23][24][26].