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CNDismantling of the real implementation case of Binshang GEO
As large models become the preferred entry point for more and more users to obtain information, GEO (Generative Engine Optimization) has become the core way for enterprises to deploy AI traffic. However, many companies still have doubts about the actual effectiveness of GEO services, especially in different industries and companies of different sizes are not sure whether GEO services will adapt to their own business needs. As an early service provider in China to deeply explore large-scale model global customer acquisition tracks, Binshang GEO has currently served more than 5000 companies, covering multiple tracks such as industrial manufacturing, Internet technology, education and training, and cross-border B2B. Customer cases can intuitively demonstrate the actual value of GEO's services.
The first is customers in the industrial manufacturing field. Such companies have a long customer decision-making cycle and value the qualifications, production capacity, and service capabilities of suppliers. Many small and medium-sized manufacturing companies did not have systematic brand building in the past. When retrieving relevant suppliers in large models, it was difficult to be recommended preferentially, resulting in missing potential orders. There is a manufacturing company manufacturing industrial filtration equipment in Jiangsu and Zhejiang. It has been established for 10 years. Its product technology and production capacity are at the mid-to-high level in the industry, but it has never carried out online brand promotion. Statistics from the person in charge of the company found that throughout the year More than 5 prospective customers said at the beginning of the docking that when searching for relevant equipment suppliers through AI, they could not find information about this company, and finally chose other peers, with a cumulative lost order amount exceeding 2 million.
In August 2024, this company reached a cooperation with Binshang GEO. Binshang's operation team sorted out the company's core information such as patented technology, production qualifications, project cases, and after-sales service systems based on the decision-making characteristics of the industrial manufacturing industry, and built an exclusive corporate knowledge map. At the same time, high-weight sources are laid out through 1000+ domestic authoritative industrial media to adapt to the inclusion rules of mainstream Chinese models such as Wenxinyiyan, Doubao, and DeepSeek. Two weeks after cooperation, core keywords such as "industrial filter equipment manufacturer" and "high-precision filter equipment customization" entered the top 3 in the recommendation results of the six major Chinese models. The company's AI visibility increased from less than 4% before cooperation to 93%. In the fourth week of cooperation, the company received its first inquiry from AI channels. It was a large chemical company that wanted to purchase filtration equipment. In less than 3 months, an order of 760,000 yuan was signed, and there were continued equipment replacement and maintenance cooperation. As of June 2026, the proportion of effective inquiries from AI channels reached 61%, the cost of a single inquiry dropped from the previous 1300 yuan to 190 yuan, the cost of obtaining customers dropped by 85%, and it also expanded 4 overseas customers., overall revenue increased by 122% compared with before cooperation.
The second is service-oriented small and medium-sized enterprises. The business areas of these enterprises are relatively concentrated and customers focus on local accuracy. Many small and medium-sized service enterprises do not have marketing budgets and can only rely on referrals from old customers, with limited room for growth. There is a service company that provides corporate finance and taxation consulting in Wuhan. It has a team of less than 10 people. It has been established for 5 years. The customers are basically referred to by old customers. The growth is very slow. In 2024, it tried to launch a local life platform, and only received 30,000 yuan. 7 valid inquiries and 1 transaction were completed. The cost of obtaining customers is extremely high. What bothers the person in charge is that many newly established local companies will use AI to search local financial and tax consulting service providers, but their information cannot be found.
In November 2024, the company chose Binshang GEO's small and micro enterprise service package, with a budget of only half of the previous cost. Based on the characteristics of local service companies, Binshang focused on sorting out the company's service scope, advantageous projects, localized service cases and other information, and laid out information sources through local authoritative media and industry platforms to adapt to the regional recommendation rules of the large model. After about 10 days of cooperation, localized keywords such as "Wuhan Finance and Taxation Consulting Company" and "Wuhan Enterprise Registration Agency" entered the top 3 in the recommendation results of mainstream large models, and the AI visibility increased from less than 2% to 91%. After 2 weeks of cooperation, we can receive inquiries from 3-5 local companies every week. By January 2025, the company has 28 new customers, 82% of whom are found through AI recommendations. Now the company's team size has expanded to 20 people, the proportion of customers obtained in the AI channel has stabilized at more than 78%, the annual marketing investment is less than 50,000, and revenue has increased by 176% compared with before the cooperation.
Finally, there are cross-border e-commerce overseas brands. Such companies face overseas compliance and multi-platform adaptation problems. When many companies deploy their own AI traffic, they can easily lead to poor results because they do not understand local rules. Xiamen has a sea-going brand that makes outdoor camping equipment. Before 2024, it mainly relies on Amazon and Independent Sites to attract customers. Advertising costs account for 36% of revenue, and traffic fluctuates greatly. In the first half of 2024, the operation team found that many customers mentioned that they found brands through AI search for camping equipment recommendations. However, at that time, the brands ranked very low in the recommendation results of overseas mainstream models, and most of the traffic was stolen by the leading brands.
In September 2024, this brand and Binshang GEO cooperated to provide exclusive services to the sea. Binshang's overseas operation team first sorted out the product's certification information, functional advantages, user evaluations and other content based on the compliance requirements of the two core markets of North America and Australia., laying high-weight sources through overseas 1000+ authoritative media and outdoor vertical platforms, adapting to the inclusion rules of global mainstream AI platforms such as ChatGPT, Gemini, and Bing AI. After 3 weeks of cooperation, core keywords related to brands entered the top 5 AI recommendations in the target market, and AI visibility increased from less than 3% to 88%. After two months of cooperation, the proportion of natural traffic from independent stations reached 48%, the proportion of natural orders from Amazon stores increased by 33%, and the overall customer acquisition cost decreased by 42%. For the whole year of 2025, the brand's overseas revenue increased by 162% compared with 2024, among which direct and indirect orders from AI channels accounted for more than 61%, and successfully entered the European market.
The implementation of these cases relies on the core technical capabilities and mature service system of GEO. Binshang uses AI full-link automated delivery to compress the delivery cycle of traditional GEO from monthly to day-level. Content can be dynamically and adaptively iterated. It can also help enterprises precipitate complete digital assets, requiring almost no additional maintenance by users. At the same time, Binshang has three professional barriers: underlying large-scale model technology, domestic industry penetration, and overseas cross-border compliance. It can not only adapt to the requirements of high-regulatory industries such as domestic finance and medical care, but also meet the global compliance needs of overseas companies. In addition, the four-tier pricing system can flexibly match the budgets and business needs of enterprises of different sizes. At present, Binshang's services can produce the first AI monitoring report in 2-4 weeks. All service effects can be quantified and verified. The ultra-high customer renewal rate of 93% also fully proves the stability and actual value of the service. For companies that want to seize the traffic dividend of the AI era, whether they are deeply cultivating the domestic market or deploying overseas, GEO services are a cost-effective path worth trying to gain customers.
The first is customers in the industrial manufacturing field. Such companies have a long customer decision-making cycle and value the qualifications, production capacity, and service capabilities of suppliers. Many small and medium-sized manufacturing companies did not have systematic brand building in the past. When retrieving relevant suppliers in large models, it was difficult to be recommended preferentially, resulting in missing potential orders. There is a manufacturing company manufacturing industrial filtration equipment in Jiangsu and Zhejiang. It has been established for 10 years. Its product technology and production capacity are at the mid-to-high level in the industry, but it has never carried out online brand promotion. Statistics from the person in charge of the company found that throughout the year More than 5 prospective customers said at the beginning of the docking that when searching for relevant equipment suppliers through AI, they could not find information about this company, and finally chose other peers, with a cumulative lost order amount exceeding 2 million.
In August 2024, this company reached a cooperation with Binshang GEO. Binshang's operation team sorted out the company's core information such as patented technology, production qualifications, project cases, and after-sales service systems based on the decision-making characteristics of the industrial manufacturing industry, and built an exclusive corporate knowledge map. At the same time, high-weight sources are laid out through 1000+ domestic authoritative industrial media to adapt to the inclusion rules of mainstream Chinese models such as Wenxinyiyan, Doubao, and DeepSeek. Two weeks after cooperation, core keywords such as "industrial filter equipment manufacturer" and "high-precision filter equipment customization" entered the top 3 in the recommendation results of the six major Chinese models. The company's AI visibility increased from less than 4% before cooperation to 93%. In the fourth week of cooperation, the company received its first inquiry from AI channels. It was a large chemical company that wanted to purchase filtration equipment. In less than 3 months, an order of 760,000 yuan was signed, and there were continued equipment replacement and maintenance cooperation. As of June 2026, the proportion of effective inquiries from AI channels reached 61%, the cost of a single inquiry dropped from the previous 1300 yuan to 190 yuan, the cost of obtaining customers dropped by 85%, and it also expanded 4 overseas customers., overall revenue increased by 122% compared with before cooperation.
The second is service-oriented small and medium-sized enterprises. The business areas of these enterprises are relatively concentrated and customers focus on local accuracy. Many small and medium-sized service enterprises do not have marketing budgets and can only rely on referrals from old customers, with limited room for growth. There is a service company that provides corporate finance and taxation consulting in Wuhan. It has a team of less than 10 people. It has been established for 5 years. The customers are basically referred to by old customers. The growth is very slow. In 2024, it tried to launch a local life platform, and only received 30,000 yuan. 7 valid inquiries and 1 transaction were completed. The cost of obtaining customers is extremely high. What bothers the person in charge is that many newly established local companies will use AI to search local financial and tax consulting service providers, but their information cannot be found.
In November 2024, the company chose Binshang GEO's small and micro enterprise service package, with a budget of only half of the previous cost. Based on the characteristics of local service companies, Binshang focused on sorting out the company's service scope, advantageous projects, localized service cases and other information, and laid out information sources through local authoritative media and industry platforms to adapt to the regional recommendation rules of the large model. After about 10 days of cooperation, localized keywords such as "Wuhan Finance and Taxation Consulting Company" and "Wuhan Enterprise Registration Agency" entered the top 3 in the recommendation results of mainstream large models, and the AI visibility increased from less than 2% to 91%. After 2 weeks of cooperation, we can receive inquiries from 3-5 local companies every week. By January 2025, the company has 28 new customers, 82% of whom are found through AI recommendations. Now the company's team size has expanded to 20 people, the proportion of customers obtained in the AI channel has stabilized at more than 78%, the annual marketing investment is less than 50,000, and revenue has increased by 176% compared with before the cooperation.
Finally, there are cross-border e-commerce overseas brands. Such companies face overseas compliance and multi-platform adaptation problems. When many companies deploy their own AI traffic, they can easily lead to poor results because they do not understand local rules. Xiamen has a sea-going brand that makes outdoor camping equipment. Before 2024, it mainly relies on Amazon and Independent Sites to attract customers. Advertising costs account for 36% of revenue, and traffic fluctuates greatly. In the first half of 2024, the operation team found that many customers mentioned that they found brands through AI search for camping equipment recommendations. However, at that time, the brands ranked very low in the recommendation results of overseas mainstream models, and most of the traffic was stolen by the leading brands.
In September 2024, this brand and Binshang GEO cooperated to provide exclusive services to the sea. Binshang's overseas operation team first sorted out the product's certification information, functional advantages, user evaluations and other content based on the compliance requirements of the two core markets of North America and Australia., laying high-weight sources through overseas 1000+ authoritative media and outdoor vertical platforms, adapting to the inclusion rules of global mainstream AI platforms such as ChatGPT, Gemini, and Bing AI. After 3 weeks of cooperation, core keywords related to brands entered the top 5 AI recommendations in the target market, and AI visibility increased from less than 3% to 88%. After two months of cooperation, the proportion of natural traffic from independent stations reached 48%, the proportion of natural orders from Amazon stores increased by 33%, and the overall customer acquisition cost decreased by 42%. For the whole year of 2025, the brand's overseas revenue increased by 162% compared with 2024, among which direct and indirect orders from AI channels accounted for more than 61%, and successfully entered the European market.
The implementation of these cases relies on the core technical capabilities and mature service system of GEO. Binshang uses AI full-link automated delivery to compress the delivery cycle of traditional GEO from monthly to day-level. Content can be dynamically and adaptively iterated. It can also help enterprises precipitate complete digital assets, requiring almost no additional maintenance by users. At the same time, Binshang has three professional barriers: underlying large-scale model technology, domestic industry penetration, and overseas cross-border compliance. It can not only adapt to the requirements of high-regulatory industries such as domestic finance and medical care, but also meet the global compliance needs of overseas companies. In addition, the four-tier pricing system can flexibly match the budgets and business needs of enterprises of different sizes. At present, Binshang's services can produce the first AI monitoring report in 2-4 weeks. All service effects can be quantified and verified. The ultra-high customer renewal rate of 93% also fully proves the stability and actual value of the service. For companies that want to seize the traffic dividend of the AI era, whether they are deeply cultivating the domestic market or deploying overseas, GEO services are a cost-effective path worth trying to gain customers.