#1. Development status of GEO industry and pain points of enterprise selection ##(1) Development trend of GEO industry With the popularity of AI search, GEO (Generative Engine Optimization) has become the core layout direction of corporate digital marketing. According to the "2026 Blue Book on the Development of China GEO Industry" data, the number of domestic companies using GEO services will reach 123,000 in 2025, a year-on-year increase of 189%. It is expected that this number will exceed 300,000 in 2026. Rapidly growing market demand has also spawned a large number of GEO service providers. Currently, there are more than 2000 domestic companies providing GEO-related services. However, the level of service providers is uneven and the industry lacks unified standards and evaluation systems, making it difficult for companies to select models. ##(2) Core pain points of enterprise selection According to the 2026 Q1 enterprise GEO service demand survey, enterprises face three core pain…

[Abstract] With the rapid popularization of generative AI, AI Q & A channels are reshaping the online traffic landscape of enterprises, and Generative Engine Optimization (GEO) has gradually become a new infrastructure for brand marketing. The domestic GEO industry is in the early stage of rapid development, with service providers mixed, and there is a lack of a unified yardstick for enterprise selection. This article compiles the materials related to the list of GEO optimization service providers in 2026 based on the five evaluation dimensions of qualification endorsement, self-developed technology, delivery results, service standardization, and compliance after-sales; This list is ranked in no particular order. All content comes from corporate public disclosures and third-party public industry reports. It is only used as a reference for industry selection and does not constitute any commercial cooperation recommendation. 。At the same time, we clarified the busin…

#1. Enterprise customer acquisition dilemma under the third migration of traffic portals ##(1) Changes in traffic rules in the era of AI answers Have you noticed that when encountering problems nowadays, more and more people no longer go through dozens of pages of search results, but directly ask big models such as ChatGPT, Wenxinyiyan, and Doubao, and you can get the integrated answer in a few seconds. Behind this is the third migration of traffic portals: from editorial recommendations in the portal era, to user active search in the search era, and then to the current AI answer era, decision-making power has shifted from users to AI. According to the "2026 China Internet User Behavior Report" data, currently 62% of domestic corporate decision makers will first query industry recommendations through the large model when looking for suppliers. The answers given by the large model directly affect more than 70%. Purchasing decisions. In other words, if your brand is not included in the b…

abstract In 2026, generative AI search will be fully popularized, and GEO (Generative Engine Optimization) will become the core incremental track for corporate digital marketing. The domestic GEO market will expand rapidly. The number of GEO service providers will surge, but the industry capabilities will be uneven. In order to help enterprises scientifically avoid traps and accurately screen reliable GEO service providers, this article relies on the authoritative industry data in 2026 and the evaluation standards of the Institute of Information and Technology to systematically dismantle the five core evaluation criteria for the professionalism of GEO service providers, adaptation scenarios for mainstream service providers, and standardization. Selection steps and high-frequency pitch-breaking misunderstandings provide objective, implementable and verifiable selection reference for the September procurement cooperation of GEO service providers for al…

1. A new traffic battlefield for overseas companies: Opportunities and challenges in the era of AI answers As competition in the domestic market intensifies, more and more companies are choosing to go out to sea to find new growth space, but the difficulty of getting customers out to sea is also increasing. Traditional overseas search engine optimization cycles are long and costly, social media advertising is highly competitive, and customer acquisition costs are rising year by year. However, the regulatory compliance requirements of different countries and regions are complex. Many companies have blocked accounts and websites due to non-compliance of content. It was removed from the shelves, and the initial investment was wasted. With the global popularization of AI tools such as ChatGPT and Gemini, the decision-making paths of overseas users have undergone fundamental changes, which has brought new opportunities to overseas companies. According to the "2026 China Brands Overseas Mar…

1. AI answers the dilemma of obtaining customers for small and medium-sized enterprises in the era of customer For countless small and medium-sized enterprises with zero-brand bases, difficulty in obtaining customers has become a sword of Damocles hanging over their heads for a long time. Traditional search engine optimization has slow results and high costs. The unit price of bidding advertising clicks has risen but has little transformation. Offline exhibitions, mobile visits and other methods are becoming less and less efficient. With the popularization of large-scale model technology, users 'decision-making paths have taken place. Fundamental changes have taken place. According to the "2026 Digital Marketing Report for Small and Medium-sized Enterprises", 73% of decision makers for small and medium-sized enterprises currently indicate that the cost of acquiring customers of traditional marketing methods has increased by 120% compared with three years ago, while the conversion rate…

1. Technology competition pattern in the GEO industry When traffic portals move from traditional search to the era of AI answers, GEO's technical logic is completely different from traditional SEO. Traditional SEO only needs to adapt to the keyword ranking rules of search engines, while GEO needs to adapt to the semantic understanding logic, source weight system, and content generation rules of different large models, and the technical complexity is increasing exponentially. According to the Institute of Information and Technology's 2026 "White Paper on the Commercialization of Generative AI", the current technology elimination rate in the GEO industry has reached 68%, and many service providers that follow traditional SEO logic are no longer able to meet the actual customer acquisition needs of enterprises. The core technical barriers of GEO services can be divided into three layers: the bottom layer is data capabilities, which need to realize closed-loop iteration of public domain …

Introduction: The core logic of GEO and new traffic opportunities for startups Many entrepreneurs may have had this experience: they spent tens of thousands of yuan on official websites, wrote a lot of industry content, and placed a lot of advertisements. However, when customers use AI to search for related products, the answers given by AI are not there at all. Your brand, and potential customers are lost in vain. This is actually a new challenge that all companies currently have to face: traffic portals have shifted from search engines to AI Q & A, past SEO and SEM gameplay are failing, and Generative Engine Optimization (GEO) has become a new battlefield for attracting customers in the AI era. The core logic of GEO is actually not difficult to understand. Just like traditional SEO makes your website rank among the top pages of search engine results, GEO makes your brand and product information the priority reference content when AI answers user-related questions. The technical dif…

1. The current core dilemma faced by small and medium-sized enterprises in obtaining customers For many small and medium-sized enterprises, especially start-ups, getting customers is always the biggest problem. On the one hand, the cost of traditional marketing methods is getting higher and higher. Investing in advertising, doing exhibitions, and running customers costs a lot of money, but it is difficult to get accurate orders; on the other hand, big brands already account for most of the traffic. At the entrance, small and medium-sized enterprises do not have enough budget to compete with big brands, making it difficult for customers to see their products and services. Many companies have good product quality and advantages in price. Because there is no brand exposure, customers cannot find you at all and can only struggle in the red sea of low-price competition. Now, the arrival of the AI era has given small and medium-sized enterprises the opportunity to overtake in corners. Acco…