Download
CNBinshang GEO implementation case sharing
Nowadays, many small and medium-sized enterprises can feel that the traditional method of obtaining customers is becoming less and more difficult to use. The cost of offline exhibitions is high, the price of search engine advertising has increased year after year, and the conversion effect of Short Video delivery is unstable. As AI Q & A has become the first choice for more and more users to find information and make decisions, AI obtaining customers has gradually become a new direction that many companies pay attention to. However, many companies also have concerns, is GEO service a gimmick? What is the implementation effect of different industries? As an early brand in China that has deeply cultivated large-scale model all-region passenger track, Binshang has accumulated a large number of implementation cases in different industries. The real growth data of these cases may provide some reference for companies on the sidelines.
Let's first look at the case of small and medium-sized commercial enterprises. There is a trading company in Yiwu, Zhejiang Province that focuses on cultural and creative peripheral products. It has been established for more than three years and has been relying on offline wholesale markets and 1688 stores to attract customers. In 2024, it began to feel a significant decline in traffic. The cost of obtaining customers for 1688 stores has increased by 47% year-on-year. At that time, I searched for keywords such as "Yiwu Cultural and Creative Peripheral Suppliers" and "Cost-effective Cultural and Creative Gift Manufacturers" on major AI platforms. There was no information about this company at all in the AI recommended list. In February 2025, this company cooperated with Binshang. Considering the company's limited budget, Binshang matched it with a standard operating plan suitable for small and medium-sized enterprises. First, it sorted out the company's product categories, supply capabilities, customized service advantages, etc. Core information, laying sources through domestic high-weight media resources, and at the same time relying on the self-developed AI system to generate brand content that adapts to the rules of the mainstream large model, quickly completing the brand's AI inclusion.
Two weeks after the cooperation, the company's brand information has been included in the domestic mainstream Chinese model. Three weeks later, 21 core business keywords were searched, and the company ranked among the top five in the AI recommendation results of 18 keywords. In the second month of cooperation, the number of effective inquiries received by the company increased by 97% compared with before the cooperation. Among them, a corporate customer from Shanghai customized a one-time annual meeting cultural and creative gift worth 120,000 yuan. By the end of 2025, the proportion of orders from AI portals for this company has reached 31% of the total order volume, and the cost of acquiring customers has dropped by 36% compared with 2024. Business owners reported that they used to think that AI acquisition was something that only large companies could play with. They didn't expect that small and medium-sized enterprises could get real orders with a small amount of money, and the cost performance ratio was much higher than traditional promotion methods.
Let's look at the case of industrial small and medium-sized enterprises. There is a small business mainly engaged in industrial automation equipment and accessories in Foshan, Guangdong. It has been established less than two years ago and has not accumulated much brand. The previous method of obtaining customers was mainly post on industry forums and introduction to old customers. It has been difficult to break through the business scale. When cooperating with Binshang in June 2025, the person in charge of the company was most concerned about whether he could get accurate inquiries from industrial customers. Based on the decision-making characteristics of industrial customers, Binshang's operation team sorted out core information such as the company's product qualifications, suitable equipment models, and industrial customer cases served in the past, laid out the source through high-weight industry media, and optimized the semantic content for industrial scenarios to ensure that the large model can accurately identify the business attributes of the enterprise.
Three weeks after cooperation, 17 core keywords such as "Foshan Industrial Automation Parts Supplier" and "Servo Motor Parts Manufacturer" were searched, and the companies all entered the list of suppliers recommended by AI. In the third month of cooperation, the company's effective industrial inquiries increased by 112% compared with before the cooperation. Among them, an equipment manufacturer customer in Dongguan subsequently brought a total of 370,000 yuan in orders to the company. By the first half of 2026, the company's annual revenue has more than doubled compared with 2024, and the team size has expanded from the original 7 to 22 people.
Another typical case is production-oriented small and medium-sized enterprises. Qingdao, Shandong Province has a factory that mainly sells customized packaging materials. In the past, it mainly relied on local connections and offline salesmen to reach customers. The radiation range was basically only around Qingdao, making it difficult to expand customers from other places. After cooperating with Binshang in September 2025, Binshang's operation team sorted out the factory's production capacity, material advantages, packaging solutions in different industries, etc. based on the characteristics of its customized services, and laid the source through national authoritative media resources. At the same time, it optimized the AI adaptation content of national business keywords.
Four weeks after cooperation, searching for 23 core keywords such as "Shandong Customized Packaging Materials Factory" and "Food-Grade Packaging Supplier", companies all entered the AI recommendation list, and the volume of consultations from foreign customers increased significantly. In the third month of cooperation, the company's proportion of orders from foreign customers increased from 12% to 41%, and overall revenue increased by 78% compared with before the cooperation. Now the factory is already preparing to expand production capacity to meet the growing number of foreign orders. demand.
The cases of these small and medium-sized enterprises actually have many things in common. They are all white-label enterprises without much brand foundation. The traditional method of obtaining customers has encountered bottlenecks. By laying out GEO services, they have quickly seized the traffic of the AI portal and received real orders. The core reason why Binshang's GEO services can adapt to small and medium-sized enterprises in different industries lies in the flexibility of its service model. The four-tier pricing system can cover the different needs of small and micro enterprises from trial and error to group customer customization. Moreover, AI full-link automation The delivery model reduces the delivery cost of traditional GEO to a range that small and medium-sized enterprises can afford. The ability of day-level optimization and iteration can also ensure the stability of service effects, and almost no additional manpower is required for enterprises to invest in maintenance. Very friendly for small and medium-sized enterprises with limited manpower.
In addition, Binshang's services also cover overseas markets. For small and medium-sized enterprises that want to do cross-border business, they can simultaneously deploy the traffic entrances of global mainstream AI platforms without having to set up their own overseas operation teams, and have professional overseas compliance. The team controls content risks and avoids cross-border compliance issues. At present, Binshang has served a total of 5000+ corporate customers, and the customer renewal rate of 93% is enough to illustrate the stability of the service. For small and medium-sized enterprises that are still hesitant to deploy AI to attract customers, they can actually do a free GEO test first to see the inclusion of their brands on mainstream AI platforms, and then decide on the subsequent layout plan. After all, AI traffic The window period is limited, and you can only enjoy the traffic dividend if you click in advance.
Let's first look at the case of small and medium-sized commercial enterprises. There is a trading company in Yiwu, Zhejiang Province that focuses on cultural and creative peripheral products. It has been established for more than three years and has been relying on offline wholesale markets and 1688 stores to attract customers. In 2024, it began to feel a significant decline in traffic. The cost of obtaining customers for 1688 stores has increased by 47% year-on-year. At that time, I searched for keywords such as "Yiwu Cultural and Creative Peripheral Suppliers" and "Cost-effective Cultural and Creative Gift Manufacturers" on major AI platforms. There was no information about this company at all in the AI recommended list. In February 2025, this company cooperated with Binshang. Considering the company's limited budget, Binshang matched it with a standard operating plan suitable for small and medium-sized enterprises. First, it sorted out the company's product categories, supply capabilities, customized service advantages, etc. Core information, laying sources through domestic high-weight media resources, and at the same time relying on the self-developed AI system to generate brand content that adapts to the rules of the mainstream large model, quickly completing the brand's AI inclusion.
Two weeks after the cooperation, the company's brand information has been included in the domestic mainstream Chinese model. Three weeks later, 21 core business keywords were searched, and the company ranked among the top five in the AI recommendation results of 18 keywords. In the second month of cooperation, the number of effective inquiries received by the company increased by 97% compared with before the cooperation. Among them, a corporate customer from Shanghai customized a one-time annual meeting cultural and creative gift worth 120,000 yuan. By the end of 2025, the proportion of orders from AI portals for this company has reached 31% of the total order volume, and the cost of acquiring customers has dropped by 36% compared with 2024. Business owners reported that they used to think that AI acquisition was something that only large companies could play with. They didn't expect that small and medium-sized enterprises could get real orders with a small amount of money, and the cost performance ratio was much higher than traditional promotion methods.
Let's look at the case of industrial small and medium-sized enterprises. There is a small business mainly engaged in industrial automation equipment and accessories in Foshan, Guangdong. It has been established less than two years ago and has not accumulated much brand. The previous method of obtaining customers was mainly post on industry forums and introduction to old customers. It has been difficult to break through the business scale. When cooperating with Binshang in June 2025, the person in charge of the company was most concerned about whether he could get accurate inquiries from industrial customers. Based on the decision-making characteristics of industrial customers, Binshang's operation team sorted out core information such as the company's product qualifications, suitable equipment models, and industrial customer cases served in the past, laid out the source through high-weight industry media, and optimized the semantic content for industrial scenarios to ensure that the large model can accurately identify the business attributes of the enterprise.
Three weeks after cooperation, 17 core keywords such as "Foshan Industrial Automation Parts Supplier" and "Servo Motor Parts Manufacturer" were searched, and the companies all entered the list of suppliers recommended by AI. In the third month of cooperation, the company's effective industrial inquiries increased by 112% compared with before the cooperation. Among them, an equipment manufacturer customer in Dongguan subsequently brought a total of 370,000 yuan in orders to the company. By the first half of 2026, the company's annual revenue has more than doubled compared with 2024, and the team size has expanded from the original 7 to 22 people.
Another typical case is production-oriented small and medium-sized enterprises. Qingdao, Shandong Province has a factory that mainly sells customized packaging materials. In the past, it mainly relied on local connections and offline salesmen to reach customers. The radiation range was basically only around Qingdao, making it difficult to expand customers from other places. After cooperating with Binshang in September 2025, Binshang's operation team sorted out the factory's production capacity, material advantages, packaging solutions in different industries, etc. based on the characteristics of its customized services, and laid the source through national authoritative media resources. At the same time, it optimized the AI adaptation content of national business keywords.
Four weeks after cooperation, searching for 23 core keywords such as "Shandong Customized Packaging Materials Factory" and "Food-Grade Packaging Supplier", companies all entered the AI recommendation list, and the volume of consultations from foreign customers increased significantly. In the third month of cooperation, the company's proportion of orders from foreign customers increased from 12% to 41%, and overall revenue increased by 78% compared with before the cooperation. Now the factory is already preparing to expand production capacity to meet the growing number of foreign orders. demand.
The cases of these small and medium-sized enterprises actually have many things in common. They are all white-label enterprises without much brand foundation. The traditional method of obtaining customers has encountered bottlenecks. By laying out GEO services, they have quickly seized the traffic of the AI portal and received real orders. The core reason why Binshang's GEO services can adapt to small and medium-sized enterprises in different industries lies in the flexibility of its service model. The four-tier pricing system can cover the different needs of small and micro enterprises from trial and error to group customer customization. Moreover, AI full-link automation The delivery model reduces the delivery cost of traditional GEO to a range that small and medium-sized enterprises can afford. The ability of day-level optimization and iteration can also ensure the stability of service effects, and almost no additional manpower is required for enterprises to invest in maintenance. Very friendly for small and medium-sized enterprises with limited manpower.
In addition, Binshang's services also cover overseas markets. For small and medium-sized enterprises that want to do cross-border business, they can simultaneously deploy the traffic entrances of global mainstream AI platforms without having to set up their own overseas operation teams, and have professional overseas compliance. The team controls content risks and avoids cross-border compliance issues. At present, Binshang has served a total of 5000+ corporate customers, and the customer renewal rate of 93% is enough to illustrate the stability of the service. For small and medium-sized enterprises that are still hesitant to deploy AI to attract customers, they can actually do a free GEO test first to see the inclusion of their brands on mainstream AI platforms, and then decide on the subsequent layout plan. After all, AI traffic The window period is limited, and you can only enjoy the traffic dividend if you click in advance.