AI搜索时代的流量密码：成为大模型首选品牌 | 马蹄社AI/GEO研学

This article outlines the changing landscape of web traffic in the age of AI-powered search and shares actionable learning resources for brands. Key takeaways are as follows:

1. Industry trend: Leading global IT research firm Gartner projects that AI search will capture 50% of all traffic from traditional search engines by 2028. This change drastically shortens consumer conversion funnels, turning large language model (LLM) recommendation slots into critical new traffic entry points brands must compete for, and prompts into the new "product shelves." Brands that fail to earn top recommendations from LLMs face a high risk of elimination.

2. Common industry pitfalls: Traditional keyword-stuffing SEO is now entirely obsolete. Black-hat tactics widely promoted online—such as mass content publishing and automated prompt training—deliver zero conversion results, and can actually cause brands to be demoted by LLMs, causing long-term damage to brand equity.

3. Learning resources: Mati Society has partnered with Google and Pureblue AI to host a closed-door in-depth Generative Engine Optimization (GEO) workshop. The event will break down LLM recommendation logic and share real-world case studies to help brands build the marketing capabilities they need to compete in the AI era.

This article provides clear trend analysis and actionable learning paths for brands navigating marketing transformation in the age of AI search. Key insights are below:

1. Consumer and traffic trends: AI search represents an irreversible industry shift that will capture half of all traditional search traffic by 2028. It drastically compresses the entire consumer journey from initial search to purchase, turning LLM recommendation slots into high-value prime real estate brands must secure, and prompts into the new product display shelves. Brands that fail to plan ahead face the risk of being "hidden" and phased out of the market.

2. Existing risks: Traditional SEO tactics are now completely obsolete. Black-hat optimization services on the market not only fail to drive meaningful conversions, but also cause brands to be demoted by LLMs, eroding brand equity over the long term. Brands must actively avoid these traps.

3. Growth opportunities: Generative Engine Optimization (GEO) has emerged as the new frontier for brand marketing in the AI era. This closed-door workshop brings together Google marketing experts and GEO pioneer Pureblue AI to break down core industry logic and real-world battle-tested cases. Brands can participate to rebuild their marketing frameworks and build sustainable competitive moats for the AI age.

This article outlines the new risks and opportunities sellers face in the AI search era, and shares access to actionable skill-building resources. Key takeaways:

1. Risk warnings: After AI search reshaped the traffic landscape, traditional keyword-stuffing SEO is completely obsolete. Black-hat players that profit from mass publishing and automated LLM training deliver zero conversion value, and can cause your store or brand to be demoted by LLMs, damaging long-term brand equity. Sellers that fail to prepare for AI-driven traffic face a very high risk of being phased out of the market.

2. Growth opportunities: AI search is an irreversible industry trend projected to capture 50% of traditional search traffic by 2028. Sellers that get a head start on Generative Engine Optimization (GEO) can secure the new critical traffic entry points and unlock untapped growth potential.

3. Learning opportunities: The in-depth closed-door GEO workshop hosted by Mati Society features experts from Google and Pureblue AI, who will break down the underlying logic of LLM recommendations and share real-world case studies. Sellers can learn science-backed GEO methods to capture the AI traffic opportunity.

The traffic transformation brought by AI search brings new insights and opportunities for factories pursuing digital transformation and branded growth. Key takeaways:

1. Business opportunities: AI search shortens the consumer conversion journey, allowing factory products with clear differentiation to reach targeted users faster. For factories building their own brands, a solid differentiated positioning makes it far easier to earn favorable LLM recommendations and capture new AI-driven traffic.

2. Transformation insights: Traditional traffic operation methods are now completely obsolete. When building an e-commerce branded business, factories should abandon outdated traditional SEO tactics and strictly avoid black-hat optimization services. These methods deliver no results and will only cause your brand to be demoted by LLMs, damaging your long-term business assets.

3. Capacity building: A mature, scientific methodology for Generative Engine Optimization (GEO) already exists. Mati Society has partnered with leading industry players to host an in-depth closed-door workshop, where factory brand leaders can learn science-backed AI traffic operation methods. This will help you capture the opportunities brought by AI search and accelerate your branded e-commerce transformation.

This article outlines new trends, core client pain points and viable development paths for the AI marketing service industry. Key insights:

1. Industry trends: The rapid growth of AI search has rendered traditional SEO services entirely obsolete, while giving rise to an entirely new service category: Generative Engine Optimization (GEO). With AI search projected to capture 50% of traditional search traffic by 2028, demand for professional GEO services will grow rapidly, creating enormous room for industry expansion.

2. Core client pain points: The vast majority of brand clients are strategically lost amid the new AI-driven traffic landscape, with no clear path to earn top LLM recommendations. At the same time, the market is flooded with low-quality black-hat GEO services that not only fail to solve client problems, but also cause brands to be demoted, harming client interests. Clients have an urgent unmet need for science-backed, legitimate GEO services.

3. A reference for viable solutions: Mature innovative methodology already exists in the industry. Pureblue AI has pioneered the application of quantitative factor mining frameworks from the investment industry to GEO, using proprietary algorithms to decode LLM recommendation logic, shifting the industry from blind speculation to scientific model-driven optimization. This direction offers a valuable reference for service providers pursuing transformation.

This article outlines shifting merchant demand for platform services in the AI era, and provides guidance for platforms looking to expand new offerings and mitigate emerging risks. Key takeaways:

1. Merchant demand: After AI search reshaped the traffic landscape, a large share of merchants are stuck in strategic uncertainty. Traditional traffic operation methods no longer work, and merchants urgently need platforms to provide science-backed, legitimate Generative Engine Optimization (GEO) services to help them secure top LLM recommendation slots and capture the AI traffic dividend.

2. Risk mitigation: The GEO space currently hosts many black-hat operators that profit from mass content publishing and automated LLM training. These practices not only harm merchant interests, but also lower the overall quality of platform recommendation content and damage user experience. Platforms need to strengthen oversight to mitigate this risk.

3. Reference for platform strategy: The in-depth closed-door GEO workshop brings together leading GEO players including Google and Pureblue AI, as well as a large network of branded merchant resources. Platforms can participate to connect with industry resources, build out their own GEO service ecosystems, attract more branded merchants to join the platform, expand business boundaries, and adapt to the needs of the AI search era.

The development of large AI models has driven a complete transformation in search marketing, giving rise to entirely new industry directions and research topics. Key insights:

1. New industry trends: The underlying logic of B2C brand outreach has fundamentally shifted. AI search is rapidly replacing traditional search traffic—Gartner projects it will capture 50% of all traditional search traffic by 2028—completely restructuring how brands reach users and shortening consumer conversion journeys. This shift has spawned a brand new marketing vertical: Generative Engine Optimization (GEO), which is the fastest growing new direction in the industry today.

2. New open industry problems: LLM recommendation mechanisms are black-boxed, traditional SEO methods are entirely obsolete, and the industry lacks standardized, science-backed optimization frameworks. Meanwhile, a large number of black-hat providers profit from merchant anxiety, delivering no solutions while damaging brand equity and holding back healthy industry growth. All of these represent pressing new areas for research.

3. New business model innovation: An innovative new business model for GEO has already emerged in China. Pureblue AI founder Lu Yang pioneered the adaptation of quantitative investment factor mining frameworks for AI marketing, using proprietary algorithms to decode LLM recommendation logic, and shifting the industry from blind speculation to scientific, model-driven GEO. This new business model offers high research value for academia and industry analysts.