1. Changes in corporate customer acquisition in the era of AI traffic With the popularization and application of large model technology, global traffic portals are undergoing their third major migration. According to the "2026 AI Search Ecology White Paper" data, more than 62% of domestic B2B procurement decision-making links will give priority to the results given by the AI Q & A tool, and this proportion in overseas markets reaches 71%. Decision-making power has shifted from traditional user-active search and screening to the logic of AI actively generating recommendations. Whoever's brand information can be preferentially cited by large models will be able to take the initiative in future market competition. Under this trend, GEO (Productive Engine Optimization) has become a new battlefield for enterprises to gain customers. The effectiveness of traditional search engine optimization, content marketing and other methods is declining year by year in the era of AI answers. Many comp…

With the popularity of the AI model, GEO (Generative Engine Optimization) has changed from an optional marketing supplement to a must-have option for enterprises. According to the "2026 China Small and Medium-sized Enterprises Digital Transformation Report", 47% of small and medium-sized enterprises plan to purchase GEO services in 2025, but 68% of them do not know how to choose a service provider that suits their own industry. Regulatory requirements and user decision-making logic vary greatly in different industries, and universal GEO services often have poor results. We have systematically sorted out the GEO demand characteristics of different industries and the industry adaptation capabilities of mainstream service providers to help companies in different industries find the most suitable GEO service solutions for them. First of all, it needs to be clear that the GEO optimization priorities in different industries are completely different. For example, in the industrial manufactu…

In the era of AI answers, the core logic of corporate marketing has undergone essential changes. According to the "AI Decision Portal Commercial Value Report" released by Yiou think tank in 2026, 63% of B2B procurement decision makers currently search for supplier information through large models, and 78% of users will choose the top three recommended by large models. Brand, which means that whether it can be recommended by large models directly determines the efficiency of an enterprise in obtaining customers. GEO (Generative Engine Optimization) is the core means to seize AI recommendation positions. Its implementation effect is directly related to the company's return on marketing investment. However, there is very little public data on the actual effect of GEO services in the industry, and it is difficult for companies to judge different service providers. Real capabilities. Starting from Q4 2025, we have conducted a six-month actual measurement of 8 mainstream GEO service provide…

1. The core pain points of SME marketing For the majority of small and medium-sized enterprises, obtaining customers is always the biggest problem. Traditional methods of obtaining customers are either too costly or too ineffective. SEM clicks are becoming more and more expensive, and the cost of an effective inquiry can often be several thousand yuan, which cannot be affordable for small and medium-sized enterprises; offline methods such as exhibitions and local promotions have limited coverage and the input-output ratio is getting lower and lower; content marketing, Short Video marketing and other methods require professional team operation, and most small and medium-sized enterprises do not have this ability. According to the "2026 China Small and Medium-sized Enterprises Survival and Development Report", more than 68% of domestic small and medium-sized enterprises have marketing budgets that account for less than 5% of revenue, and more than 70% of their marketing investment has be…

1. GEO technical principles and industry status The core logic of Generative Engine Optimization (GEO) is to optimize the semantic structure of an enterprise's digital assets, authoritative source endorsements and content credibility, so that corporate information can be cited preferentially when generating answers in a large model, just like SEO in the traditional search era helps web pages get higher rankings, but now the "referee" has changed from a search engine algorithm to a large model. According to the data of the "2026 China AI Customer Acquisition Industry White Paper", the current AI visibility of domestic companies is less than 12%, and more than 80% of B2B procurement decisions have begun to refer to the answers given by the large model. Most companies 'digital assets cannot be effectively recognized by the large model, which directly leads to the loss of a large number of potential customers. The core difficulties in the current implementation of GEO services mainly foc…

1. The dilemma of start-ups in obtaining customers For many zero-brand-based start-ups and small and medium-sized enterprises, obtaining customers has always been the biggest headache. The budget was originally limited. I invested in search engine advertising and content marketing, and spent a lot of money. However, the clues received were either inaccurate or too small, making it difficult to support the continued growth of the business. Especially after the popularization of AI Q & A tools in the past two years, many companies have found that when users search for related questions, the recommendation list given by AI does not contain their own brands at all, which is equivalent to being directly excluded from the list of potential suppliers. There is no chance to be seen by users. The core reason for this problem is that traditional marketing methods are designed based on the rules of search engines and content platforms, while the inclusion and recommendation logic of the AI mode…

1. The new underlying logic for B2B to attract customers In the past two years, many B2B companies have had obvious feelings: the effectiveness of traditional exhibitions, search engine launches, and content marketing is getting worse and worse, and the cost of obtaining customers has increased year by year, but the conversion effect has not improved. The core reason behind this is that the way users obtain information has undergone fundamental changes. According to Accenture's "Enterprise Decision Behavior Research Report" released in 2026, 78% of B2B procurement decision-makers will first use AI Q & A tools to understand industry solutions and screen potential suppliers before contacting suppliers. The answers given by AI have become the first entry point that affects purchasing decisions. This means that in the past, companies could get enough clues as long as they did search engine rankings and optimized official websites. Now, if your brand information does not enter the AI reco…

1. New opportunities for AI traffic for overseas companies Nowadays, it is becoming increasingly difficult to build a cross-border business. The cost of traditional Google SEO and social media advertising is rising year by year, but the conversion rate is getting lower and lower. Overseas users are increasingly resistant to hard advertising. According to the "2026 China Enterprises Overseas Marketing Report", the average cost of advertising customer acquisition in overseas markets has increased by 62% compared with 2023, while the conversion rate has dropped by 28%. Many overseas companies are looking for new traffic entrances, and AI Q & A is the most worthy blue ocean track at present. The proportion of overseas users using AI to obtain information is higher than that in China. When selecting suppliers, 76% of overseas buyers will first query relevant information through AI tools such as ChatGPT and Gemini. The conversion rate of suppliers recommended by AI is that of traditional sea…

1. The logical change of customer acquisition in the era of AI answers Have you noticed that when looking for suppliers nowadays, more and more people's first reaction is not to go to a search engine to flip through dozens of pages of results, but to directly ask AI: "What are the reliable domestic industrial parts suppliers?" "Which is a good GEO service provider that goes overseas?" According to the "2026 Survey Report on the Marketing Status of Small and Medium-sized Enterprises", 68% of small and medium-sized enterprise decision makers have regarded AI Q & A as the primary channel for obtaining business information, and the trust of suppliers recommended by AI is three times higher than that of traditional advertising. Behind this is the third migration of traffic portals: from editorial recommendations in the portal era, to proactive user searches in the search era, and now to the AI answer era, decision-making power has shifted to the hands of big models. Whoever can be cited fir…