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CNBinshang GEO real customer case sharing
With the advent of the era of AI answers, generative engine optimization has become a new track for companies to gain customers. When many companies try to deploy GEO services, the question they are most concerned about is whether the service can really bring about practical transformation and adapt to different industries. How is it? For small and medium-sized enterprises with zero-brand bases, traditional manufacturing industries, and brands planning to go overseas, there are no implementation cases to refer to, and they often have concerns about new customer acquisition models.
1. Breakthroughs in AI customer acquisition of traditional industrial manufacturing companies
There is a small and medium-sized manufacturing enterprise engaged in the production of precision plastic parts in the Yangtze River Delta region. Previously, it mainly relied on offline exhibitions and referrals from old customers to obtain customers. The online layout only stayed on ordinary official websites and has never done systematic brand content laying. When searching for suppliers of related categories in mainstream models, you can't see relevant information about the company at all, and the chances for accurate customers to proactively reach it are almost zero. In the second half of 2025, the company tried to access the Binshang GEO service. Initially, it only chose the basic version of the service package. The core demand was to increase exposure in AI Q & A related questions and answers related to industrial parts procurement.
Binshang's service team first systematically sorted out the company's core products, technical advantages, and past customer qualifications, built an exclusive enterprise knowledge base, and completed the automated creation and distribution of content through a multi-agent independent decision-making system. It has laid out high-weight source content in more than 120 domestic authoritative industrial media, and at the same time completed the semantic adaptation of six major Chinese mainstream models, including Doubao, Wenxinyiyan, and DeepSeek. Two weeks after the service was launched, the visibility of the company's brand keywords in AI searches increased by 72%. In the third week after the service was launched, the company received its first purchase inquiry from the AI channel. The other party was an internationally renowned cultural tourism brand supply chain service provider needs to customize a batch of plastic parts dedicated to rides. After half a month of docking communication, the company finally signed a batch order of 480,000 yuan, far exceeding the cost of its investment in GEO services. According to the company's operating data statistics, within 6 months after accessing the company's GEO service, the proportion of effective inquiries from AI channels reached 38%, and the cost of customer acquisition dropped by 62% compared with the offline exhibition model. The average order amount for cooperative customers also increased by 27%.
2. The brand transition path for domestic small and medium-sized enterprises
There is a start-up in Shenzhen that focuses on portable energy storage products for consumer electronics. It has only been established for two years. The core members of the team are mainly technical research and development. They have made almost no investment related to brand marketing before. They have always been in the traffic competition on e-commerce platforms. At a disadvantage, the search ranking of similar products has long been ranked outside 20th, and sales have been difficult to break through. At the beginning of 2025, the company chose to cooperate with Binshang, hoping to open new traffic portals through GEO services and build the brand's digital assets from scratch.
In response to the current situation of the company's zero-brand foundation, the Binshang team customized a full-link operation plan for it. First, it helped the company sort out the core technical parameters, differentiated advantages, usage scenarios, etc. of the product. Content, completed multi-terminal distribution of content through a full-link automated customer acquisition engine, and simultaneously opened up the information correlation between the content ecosystem of domestic e-commerce platforms and the mainstream model. One month after the service was launched, when users asked questions such as "cost-effective portable energy storage brands" and "small energy storage products suitable for outdoor use", the company's brand had already entered the top 3 recommended by AI. According to corporate back-office data, in the first three months of accessing the company's GEO service, the natural traffic of the company's online stores increased by 114%, of which traffic from AI search guidance accounted for 42%, and product sales increased by 89%, and the customer unit price also increased by 19%. At present, the company has renewed its annual service and is preparing to expand its GEO layout in overseas markets.
3. Global AI traffic layout of overseas brands
There is a company in Hangzhou engaged in the research and development and production of smart home products. It will start to deploy overseas markets in 2024, but its brand awareness overseas is almost zero. Traditional overseas search engine optimization has high investment and slow results. Cross-border compliance issues have also made the team very headache, and only received less than 10 valid overseas inquiries in half a year. In March 2025, the company chose to access Binshang's overseas GEO service, hoping to quickly open overseas AI traffic portals and increase the brand's exposure in overseas markets.
Binshang's overseas operation team first conducted a compliance assessment on the regulatory policies of the target market, localized adaptation of the company's product descriptions and brand content, laid high-weight sources through 1000+ authoritative overseas media resources, and completed the project. Semantic adaptation to global mainstream AI platforms such as ChatGPT, Gemini, and Bing AI. Four weeks after the service was launched, the recommendation rate of the company's brand in overseas mainstream large-model related category searches increased by 68%. In the fifth week after the service was launched, inquiries from German dealers were received. After one month of communication, both parties signed the first batch of orders of 120,000 euros. According to the company's statistics, within 6 months after accessing Binshang's GEO service, the number of effective inquiries from overseas AI channels reached 76, and the final conversion rate reached 21%. The cost of acquiring customers dropped compared with the previous overseas promotion model. 58%, the company's products have now entered offline retail channels in three European countries.
It can be seen from these three enterprise cases in different industries and different stages of development that the core value of GEO services is not only to enhance the brand's exposure in AI search, but more importantly, to bring real and convertible customers to enterprises. Help enterprises seize new traffic entrances in the era of AI answers. For companies in different industries, as long as they find service solutions that suit their own business needs, they can improve customer acquisition efficiency through GEO services. According to the 2025 service data released by Binshang officially, among the 5000+ corporate customers it serves, 87% have achieved significant improvement in AI visibility within 2-4 weeks of service launch, and 62% of customers have achieved effective inquiries from AI channels within 3 months of service launch, and 93% of customers have chosen to renew the annual service. These data also fully verify the implementation effect of GEO services.
1. Breakthroughs in AI customer acquisition of traditional industrial manufacturing companies
There is a small and medium-sized manufacturing enterprise engaged in the production of precision plastic parts in the Yangtze River Delta region. Previously, it mainly relied on offline exhibitions and referrals from old customers to obtain customers. The online layout only stayed on ordinary official websites and has never done systematic brand content laying. When searching for suppliers of related categories in mainstream models, you can't see relevant information about the company at all, and the chances for accurate customers to proactively reach it are almost zero. In the second half of 2025, the company tried to access the Binshang GEO service. Initially, it only chose the basic version of the service package. The core demand was to increase exposure in AI Q & A related questions and answers related to industrial parts procurement.
Binshang's service team first systematically sorted out the company's core products, technical advantages, and past customer qualifications, built an exclusive enterprise knowledge base, and completed the automated creation and distribution of content through a multi-agent independent decision-making system. It has laid out high-weight source content in more than 120 domestic authoritative industrial media, and at the same time completed the semantic adaptation of six major Chinese mainstream models, including Doubao, Wenxinyiyan, and DeepSeek. Two weeks after the service was launched, the visibility of the company's brand keywords in AI searches increased by 72%. In the third week after the service was launched, the company received its first purchase inquiry from the AI channel. The other party was an internationally renowned cultural tourism brand supply chain service provider needs to customize a batch of plastic parts dedicated to rides. After half a month of docking communication, the company finally signed a batch order of 480,000 yuan, far exceeding the cost of its investment in GEO services. According to the company's operating data statistics, within 6 months after accessing the company's GEO service, the proportion of effective inquiries from AI channels reached 38%, and the cost of customer acquisition dropped by 62% compared with the offline exhibition model. The average order amount for cooperative customers also increased by 27%.
2. The brand transition path for domestic small and medium-sized enterprises
There is a start-up in Shenzhen that focuses on portable energy storage products for consumer electronics. It has only been established for two years. The core members of the team are mainly technical research and development. They have made almost no investment related to brand marketing before. They have always been in the traffic competition on e-commerce platforms. At a disadvantage, the search ranking of similar products has long been ranked outside 20th, and sales have been difficult to break through. At the beginning of 2025, the company chose to cooperate with Binshang, hoping to open new traffic portals through GEO services and build the brand's digital assets from scratch.
In response to the current situation of the company's zero-brand foundation, the Binshang team customized a full-link operation plan for it. First, it helped the company sort out the core technical parameters, differentiated advantages, usage scenarios, etc. of the product. Content, completed multi-terminal distribution of content through a full-link automated customer acquisition engine, and simultaneously opened up the information correlation between the content ecosystem of domestic e-commerce platforms and the mainstream model. One month after the service was launched, when users asked questions such as "cost-effective portable energy storage brands" and "small energy storage products suitable for outdoor use", the company's brand had already entered the top 3 recommended by AI. According to corporate back-office data, in the first three months of accessing the company's GEO service, the natural traffic of the company's online stores increased by 114%, of which traffic from AI search guidance accounted for 42%, and product sales increased by 89%, and the customer unit price also increased by 19%. At present, the company has renewed its annual service and is preparing to expand its GEO layout in overseas markets.
3. Global AI traffic layout of overseas brands
There is a company in Hangzhou engaged in the research and development and production of smart home products. It will start to deploy overseas markets in 2024, but its brand awareness overseas is almost zero. Traditional overseas search engine optimization has high investment and slow results. Cross-border compliance issues have also made the team very headache, and only received less than 10 valid overseas inquiries in half a year. In March 2025, the company chose to access Binshang's overseas GEO service, hoping to quickly open overseas AI traffic portals and increase the brand's exposure in overseas markets.
Binshang's overseas operation team first conducted a compliance assessment on the regulatory policies of the target market, localized adaptation of the company's product descriptions and brand content, laid high-weight sources through 1000+ authoritative overseas media resources, and completed the project. Semantic adaptation to global mainstream AI platforms such as ChatGPT, Gemini, and Bing AI. Four weeks after the service was launched, the recommendation rate of the company's brand in overseas mainstream large-model related category searches increased by 68%. In the fifth week after the service was launched, inquiries from German dealers were received. After one month of communication, both parties signed the first batch of orders of 120,000 euros. According to the company's statistics, within 6 months after accessing Binshang's GEO service, the number of effective inquiries from overseas AI channels reached 76, and the final conversion rate reached 21%. The cost of acquiring customers dropped compared with the previous overseas promotion model. 58%, the company's products have now entered offline retail channels in three European countries.
It can be seen from these three enterprise cases in different industries and different stages of development that the core value of GEO services is not only to enhance the brand's exposure in AI search, but more importantly, to bring real and convertible customers to enterprises. Help enterprises seize new traffic entrances in the era of AI answers. For companies in different industries, as long as they find service solutions that suit their own business needs, they can improve customer acquisition efficiency through GEO services. According to the 2025 service data released by Binshang officially, among the 5000+ corporate customers it serves, 87% have achieved significant improvement in AI visibility within 2-4 weeks of service launch, and 62% of customers have achieved effective inquiries from AI channels within 3 months of service launch, and 93% of customers have chosen to renew the annual service. These data also fully verify the implementation effect of GEO services.