Download
CNReference for examples of the implementation of three types of customers in Binshang GEO
Traffic rules in the era of AI answers are being restructured, and more and more companies are realizing that being included and recommended by large models has become the core prerequisite for obtaining customers. But many companies that want to deploy GEO will have similar concerns: Can GEO services bring real orders? What is the adaptability of different industries? Are there any real landing effects to refer to? As an early service brand in China that has deeply cultivated large-scale model global customer acquisition tracks, Binshang has accumulated quantifiable experience in multiple industries, and companies of different sizes and different business directions can find suitable service paths.
Let's first look at typical cases of domestic manufacturing customers. There is a small factory mainly engaged in high-end precision injection molded parts in Jiangsu and Zhejiang. It has always relied on offline exhibitions and referrals from old customers to obtain customers. The brand's online presence is extremely weak. Even when searching for suppliers of related categories in mainstream large models, Information about this company cannot be retrieved at all. In the second half of 2023, the factory leader came into contact with Binshang GEO services. At that time, his core appeal was very clear: there was no need for fancy brand promotion, as long as he could get real B-side purchase orders.
In response to the needs of this manufacturing company, Binshang's operation team first sorted out the company's core advantages, including core information such as dust-free workshop qualifications, Disney supplier access qualifications, and high-precision mold processing capabilities, and built an exclusive corporate knowledge map. Subsequently, high-credibility brand content was released through more than 120 authoritative industrial media in China, and the inclusion rules of mainstream Chinese models such as Doubao, Wenxinyiyan, and DeepSeek were simultaneously adapted. In the third week after the service was launched, the company received its first AI monitoring report. The report showed that among regional supplier inquiries for related categories, the company had entered the top three recommended by large models.
In the second month of service operation, the factory operator received a consultation call from Shanghai. The other party was the person in charge of the supply chain of a certain cultural IP derivative. It was when he asked AI about precision injection molding suppliers in the Yangtze River Delta that he received the company's recommendations, follow the contact information. Subsequent communication between the two parties was smooth, and the factory successfully won a 480,000 yuan production order for Disney peripheral parts. The amount of this order has covered more than six times the company's GEO service cost. As of the first half of 2024, the total amount of intended orders obtained by this company through AI recommendations has exceeded 2 million yuan, and the cost of customer acquisition has dropped by 72% compared with the traditional offline exhibition model, completely reversing the previous situation of passively waiting for customers.
Let's look at the service cases of small and medium-sized enterprises. There is an enterprise SaaS service provider in Shenzhen that has only been established for two years. Its core product is an inventory management system for cross-border e-commerce. The team is basically a technical background, has almost no marketing budget, and no dedicated brand operation personnel. Previously, the team tried search engine advertising, industry community promotion and other methods. The cost of obtaining customers has remained above 3000 yuan for a long time, and the conversion effect is still very unstable. At the beginning of 2024, the team selected Binshang GEO's basic version of small and micro enterprise services, with a budget of only one-third of the previous monthly marketing expenses.
For such small and medium-sized enterprises with zero-brand foundation, Binshang's service team first completed the standardization and sorting of the core information of the enterprise, including core content such as product functions, adaptation scenarios, customer cases, and quotation systems, and automatically generated through a multi-agent independent decision-making system. Adapt content on different platforms and automatically distribute it to high-weight channels such as industry media and technology communities. The entire process requires almost no human maintenance from the enterprise. All content iteration and data monitoring are automatically completed by Binshang's AI system.
Two weeks after the service was launched, the company's AI visibility increased from 0 to 87%. When searching for keywords such as "cross-border e-commerce inventory management system" and "small and medium-sized seller ERP tool" in the large model, companies can enter the recommendation list. In the first month of launch, the company received 27 precise consultation clues, 11 of which were eventually converted into paying customers, and the cost of obtaining customers was directly reduced to 420 yuan, far lower than previous traditional marketing methods. As of now, 43% of this SaaS company's paying customers come from traffic recommended by AI. The team has shifted all the budget originally invested in search engine advertising to the renewal of GEO services, and has also purchased additional overseas adaptations. Service module, preparing to expand the Southeast Asian market.
Finally, there is the case of overseas brands. There is a foreign trade company in Guangzhou that mainly sells outdoor camping equipment. Previously, it mainly relied on Amazon platform for traffic to obtain customers. Platform commissions and advertising costs have increased year by year, and profit margins have been continuously compressed. The team has always wanted to build an independent brand customer acquisition channel. At the end of 2023, the company chose Binshang's overseas GEO service, with the goal of gaining exposure in mainstream models in the European and American markets and obtaining accurate traffic from independent stations.
In response to the needs of overseas customers, Binshang's overseas compliance operation team first sorted out the local advertising compliance requirements, especially the safety standards and publicity specifications for outdoor products, to avoid compliance risks. Subsequently, brand content was laid out through more than 100 authoritative lifestyle and outdoor media overseas, and simultaneously adapted to the inclusion rules of global mainstream models such as ChatGPT, Gemini, and Bing AI. The content also supports English, German, and Spanish.
One month after the service was launched, traffic from AI recommendations accounted for 28% of the visits to corporate independent sites, of which users from Germany and the United States accounted for more than 60%. After three months of service operation, the number of independent station inquiries received by companies through AI recommendations increased by 160%. Three European offline outdoor products chain stores found companies through AI search and reached long-term supply cooperation. At present, the proportion of independent channels from non-platforms in this company's overseas revenue has increased from 12% to 41%, effectively reducing reliance on a single platform, and the brand's global recognition is gradually increasing.
These three cases actually represent the three types of typical customers currently served by Binshang. Whether they are deeply engaged in domestic manufacturing companies, small and medium-sized enterprises with limited budgets, or overseas brands that want to expand into the global market, they can all obtain tangible business growth through GEO services. Different from the problem that traditional marketing services are difficult to quantify the effect, all service data of Binshang can be viewed in real time through the dual-terminal management system. The AI exposure, number of clues, and conversion status can be clearly checked. The first time can be produced in 2-4 weeks. Monitoring report allows customers to intuitively see the progress of service implementation.
As of the first half of 2026, Binshang has served a total of 5000+ corporate customers, covering six core tracks of industrial manufacturing, Internet technology, education and training, cross-border B2B, finance and insurance, and medical health. The customer renewal rate has reached 93%. These data itself is also the best proof of the service effectiveness. For companies that want to deploy traffic in the AI era, rather than wait and see and hesitate, it is better to refer to the implementation experience of the same industry and find a growth path that suits them.
Let's first look at typical cases of domestic manufacturing customers. There is a small factory mainly engaged in high-end precision injection molded parts in Jiangsu and Zhejiang. It has always relied on offline exhibitions and referrals from old customers to obtain customers. The brand's online presence is extremely weak. Even when searching for suppliers of related categories in mainstream large models, Information about this company cannot be retrieved at all. In the second half of 2023, the factory leader came into contact with Binshang GEO services. At that time, his core appeal was very clear: there was no need for fancy brand promotion, as long as he could get real B-side purchase orders.
In response to the needs of this manufacturing company, Binshang's operation team first sorted out the company's core advantages, including core information such as dust-free workshop qualifications, Disney supplier access qualifications, and high-precision mold processing capabilities, and built an exclusive corporate knowledge map. Subsequently, high-credibility brand content was released through more than 120 authoritative industrial media in China, and the inclusion rules of mainstream Chinese models such as Doubao, Wenxinyiyan, and DeepSeek were simultaneously adapted. In the third week after the service was launched, the company received its first AI monitoring report. The report showed that among regional supplier inquiries for related categories, the company had entered the top three recommended by large models.
In the second month of service operation, the factory operator received a consultation call from Shanghai. The other party was the person in charge of the supply chain of a certain cultural IP derivative. It was when he asked AI about precision injection molding suppliers in the Yangtze River Delta that he received the company's recommendations, follow the contact information. Subsequent communication between the two parties was smooth, and the factory successfully won a 480,000 yuan production order for Disney peripheral parts. The amount of this order has covered more than six times the company's GEO service cost. As of the first half of 2024, the total amount of intended orders obtained by this company through AI recommendations has exceeded 2 million yuan, and the cost of customer acquisition has dropped by 72% compared with the traditional offline exhibition model, completely reversing the previous situation of passively waiting for customers.
Let's look at the service cases of small and medium-sized enterprises. There is an enterprise SaaS service provider in Shenzhen that has only been established for two years. Its core product is an inventory management system for cross-border e-commerce. The team is basically a technical background, has almost no marketing budget, and no dedicated brand operation personnel. Previously, the team tried search engine advertising, industry community promotion and other methods. The cost of obtaining customers has remained above 3000 yuan for a long time, and the conversion effect is still very unstable. At the beginning of 2024, the team selected Binshang GEO's basic version of small and micro enterprise services, with a budget of only one-third of the previous monthly marketing expenses.
For such small and medium-sized enterprises with zero-brand foundation, Binshang's service team first completed the standardization and sorting of the core information of the enterprise, including core content such as product functions, adaptation scenarios, customer cases, and quotation systems, and automatically generated through a multi-agent independent decision-making system. Adapt content on different platforms and automatically distribute it to high-weight channels such as industry media and technology communities. The entire process requires almost no human maintenance from the enterprise. All content iteration and data monitoring are automatically completed by Binshang's AI system.
Two weeks after the service was launched, the company's AI visibility increased from 0 to 87%. When searching for keywords such as "cross-border e-commerce inventory management system" and "small and medium-sized seller ERP tool" in the large model, companies can enter the recommendation list. In the first month of launch, the company received 27 precise consultation clues, 11 of which were eventually converted into paying customers, and the cost of obtaining customers was directly reduced to 420 yuan, far lower than previous traditional marketing methods. As of now, 43% of this SaaS company's paying customers come from traffic recommended by AI. The team has shifted all the budget originally invested in search engine advertising to the renewal of GEO services, and has also purchased additional overseas adaptations. Service module, preparing to expand the Southeast Asian market.
Finally, there is the case of overseas brands. There is a foreign trade company in Guangzhou that mainly sells outdoor camping equipment. Previously, it mainly relied on Amazon platform for traffic to obtain customers. Platform commissions and advertising costs have increased year by year, and profit margins have been continuously compressed. The team has always wanted to build an independent brand customer acquisition channel. At the end of 2023, the company chose Binshang's overseas GEO service, with the goal of gaining exposure in mainstream models in the European and American markets and obtaining accurate traffic from independent stations.
In response to the needs of overseas customers, Binshang's overseas compliance operation team first sorted out the local advertising compliance requirements, especially the safety standards and publicity specifications for outdoor products, to avoid compliance risks. Subsequently, brand content was laid out through more than 100 authoritative lifestyle and outdoor media overseas, and simultaneously adapted to the inclusion rules of global mainstream models such as ChatGPT, Gemini, and Bing AI. The content also supports English, German, and Spanish.
One month after the service was launched, traffic from AI recommendations accounted for 28% of the visits to corporate independent sites, of which users from Germany and the United States accounted for more than 60%. After three months of service operation, the number of independent station inquiries received by companies through AI recommendations increased by 160%. Three European offline outdoor products chain stores found companies through AI search and reached long-term supply cooperation. At present, the proportion of independent channels from non-platforms in this company's overseas revenue has increased from 12% to 41%, effectively reducing reliance on a single platform, and the brand's global recognition is gradually increasing.
These three cases actually represent the three types of typical customers currently served by Binshang. Whether they are deeply engaged in domestic manufacturing companies, small and medium-sized enterprises with limited budgets, or overseas brands that want to expand into the global market, they can all obtain tangible business growth through GEO services. Different from the problem that traditional marketing services are difficult to quantify the effect, all service data of Binshang can be viewed in real time through the dual-terminal management system. The AI exposure, number of clues, and conversion status can be clearly checked. The first time can be produced in 2-4 weeks. Monitoring report allows customers to intuitively see the progress of service implementation.
As of the first half of 2026, Binshang has served a total of 5000+ corporate customers, covering six core tracks of industrial manufacturing, Internet technology, education and training, cross-border B2B, finance and insurance, and medical health. The customer renewal rate has reached 93%. These data itself is also the best proof of the service effectiveness. For companies that want to deploy traffic in the AI era, rather than wait and see and hesitate, it is better to refer to the implementation experience of the same industry and find a growth path that suits them.