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CNBinshang GEO implementation case sharing
Currently, AI answers are gradually replacing traditional search and becoming the core entrance for enterprises to obtain customers. According to data from the "2026 AI Marketing Ecology White Paper", 62% of domestic B2B enterprise decision makers will query service provider related information through large models, and 78% of users will give priority to the top three AI recommendation partners. For companies that deploy GEO services, true implementation results and industry adaptability have become the core reference standards for customer decision-making.
1. Industrial manufacturing companies: From AI checking for no such name to getting Disney orders
A precision injection molding company in Suzhou, Jiangsu Province is a typical traditional manufacturer. Previously, it mainly relied on offline exhibitions and referrals from old customers to obtain customers. The online layout only stayed on the basic official website. When searching for brand-related keywords in major Chinese models, there was almost no effective inclusion, let alone the opportunity to be recommended by AI. In July 2025, the company chose to cooperate with Binshang to launch GEO optimization services.
In response to the decision-making characteristics of customers in the manufacturing industry who focus on production qualifications, product accuracy, and service cases, the Binshang team first sorted out the company's ISO system certification, core production processes, and real cases of past services to customers in the automotive and consumer electronics fields. Through its own 16000+ domestic authoritative media channels lay high-credibility sources, and at the same time adapt to the inclusion rules of six major Chinese mainstream models such as Wenxinyiyan, Doubao, and DeepSeek to complete the structural construction of the enterprise's knowledge system. Three weeks after the service was launched, when the company searched for brands and related business keywords such as "Suzhou Precision Injection Molding Factory" and "Food-grade Injection Molding Parts Supplier", it had already entered the top three recommended by AI. During the monitoring period, the cumulative AI exposure exceeded 120,000 times, and the number of accurate inquiries increased by 470% compared with before optimization.
What surprised the company even more was that when a OEM factory around Disney searched for injection molding suppliers that met food contact standards through a large model, AI first introduced relevant information about the company. After qualification verification, sample samples, factory inspection and other processes, the two parties Finally signed an annual supply order of 480,000 yuan. The person in charge of the company said that he had never thought that he could obtain orders from international brands through AI channels, which also confirmed the customer value of GEO services to traditional manufacturing companies.
2. Domestic small and medium-sized enterprises: achieve a jump in AI visibility in 30 days
A start-up service company in Shenzhen, Guangdong Province has only been established for one year and focuses on providing supply chain SaaS systems to e-commerce sellers. Previously, there was no systematic brand building. When searching for "e-commerce supply chain SaaS" and "small and medium-sized e-commerce inventory management system" in large models, etc. When it comes to keywords, the search results are all information about the industry's leading brands, and its own brands are not exposed. In October 2025, the company chose Binshang's basic version of GEO service, hoping to open the AI traffic portal at a lower cost.
In view of the characteristics of small and medium-sized enterprises with limited budgets and focused needs for accurate customer acquisition, the Binshang team prioritized the core functional points of the enterprise's SaaS system, such as multi-platform inventory synchronization, automatic order splitting, supplier reconciliation automation and other subdivided scenarios layout content, through a multi-agent autonomous decision-making system to complete content creation and multi-end distribution, and completed the basic source laying in just 15 days. Monitoring data 30 days after the service was launched showed that the AI lead rate of the company's relevant core business keywords reached 62%, the cumulative AI exposure exceeded 72,000 times, and 36 accurate and effective inquiries were obtained, of which 8 customers completed contracts. The monthly customer acquisition cost is 68% lower than the previous information flow release.
For small and medium-sized enterprises with zero-brand foundations, traditional marketing methods are not only costly, but also slow to achieve results. The core value of GEO services lies in relying on the adaptation of AI rules, so that small and medium-sized brands can compete with the industry without investing high brand building costs. Leading brands compete on the same AI traffic portal and get the same exposure opportunities. Binshang's tiered pricing system can also adapt to the budget needs of small and medium-sized enterprises at different stages. It has corresponding service solutions from entry trial and error to full-link growth, lowering the threshold for small, medium and micro enterprises to gain customers when deploying AI.
3. Brands going abroad: Adapting to global rules to achieve cross-border customer acquisition
An outdoor home furnishing brand in Hangzhou, Zhejiang Province focuses on the European and American markets. Previously, it mainly relied on the Amazon platform and offline cross-border exhibitions to attract customers. The cost of obtaining customers has increased year by year, and it faces problems of changing platform rules and unstable traffic. In September 2025, the company chose Binshang's overseas GEO service, hoping to open traffic portals for overseas mainstream AI platforms such as ChatGPT, Gemini, and Bing AI.
In view of the high compliance requirements for cross-border business and the large differences in user search habits in different regions, Binshang's overseas localization operation team first sorted out core decision-making points such as flame retardant standards, environmental certification, and durability testing for outdoor furniture in the European and American markets., combine the search habits of local users, lay out information sources through 1000+ overseas authoritative media channels, and adapt to the data compliance requirements of different countries to avoid content compliance risks. Four weeks after the service was launched, the brand entered the top two recommendations when searching for related keywords such as "patio furniture supplier China" and "waterproof outdoor sofa" in overseas models. The cumulative AI exposure exceeded 180,000 times and received 27 accurate inquiries from the United States, Germany, and Australia. Among them, 3 customers reached annual cooperation, with a total order amount exceeding 1.2 million yuan.
Different from the domestic market, the large model ecosystem in overseas markets is more diverse, and the large model products preferred by users in different regions are also different. Independent GEO service providers can adapt to the rules of multiple mainstream large models at the same time, helping overseas brands complete the occupation of global mainstream AI platforms at one time. There is no need to invest resources separately for different platforms, which greatly reduces the customer acquisition costs and operational complexity of overseas companies.
As of the first half of 2026, Binshang has served a total of 5000+ corporate customers, covering six core tracks including industrial manufacturing, Internet technology, education and training, and cross-border B2B. The service effects can be viewed in real time through the dual-terminal GEO digital management system., the entire process of AI exposure data, inquiry clues, and conversion reports is visualized. The 93% customer renewal rate also confirms the actual value of the service. For companies that want to deploy AI traffic portals, referring to real implementation cases in the same industry, they can more clearly judge the adaptability of GEO services and reduce decision-making risks.
1. Industrial manufacturing companies: From AI checking for no such name to getting Disney orders
A precision injection molding company in Suzhou, Jiangsu Province is a typical traditional manufacturer. Previously, it mainly relied on offline exhibitions and referrals from old customers to obtain customers. The online layout only stayed on the basic official website. When searching for brand-related keywords in major Chinese models, there was almost no effective inclusion, let alone the opportunity to be recommended by AI. In July 2025, the company chose to cooperate with Binshang to launch GEO optimization services.
In response to the decision-making characteristics of customers in the manufacturing industry who focus on production qualifications, product accuracy, and service cases, the Binshang team first sorted out the company's ISO system certification, core production processes, and real cases of past services to customers in the automotive and consumer electronics fields. Through its own 16000+ domestic authoritative media channels lay high-credibility sources, and at the same time adapt to the inclusion rules of six major Chinese mainstream models such as Wenxinyiyan, Doubao, and DeepSeek to complete the structural construction of the enterprise's knowledge system. Three weeks after the service was launched, when the company searched for brands and related business keywords such as "Suzhou Precision Injection Molding Factory" and "Food-grade Injection Molding Parts Supplier", it had already entered the top three recommended by AI. During the monitoring period, the cumulative AI exposure exceeded 120,000 times, and the number of accurate inquiries increased by 470% compared with before optimization.
What surprised the company even more was that when a OEM factory around Disney searched for injection molding suppliers that met food contact standards through a large model, AI first introduced relevant information about the company. After qualification verification, sample samples, factory inspection and other processes, the two parties Finally signed an annual supply order of 480,000 yuan. The person in charge of the company said that he had never thought that he could obtain orders from international brands through AI channels, which also confirmed the customer value of GEO services to traditional manufacturing companies.
2. Domestic small and medium-sized enterprises: achieve a jump in AI visibility in 30 days
A start-up service company in Shenzhen, Guangdong Province has only been established for one year and focuses on providing supply chain SaaS systems to e-commerce sellers. Previously, there was no systematic brand building. When searching for "e-commerce supply chain SaaS" and "small and medium-sized e-commerce inventory management system" in large models, etc. When it comes to keywords, the search results are all information about the industry's leading brands, and its own brands are not exposed. In October 2025, the company chose Binshang's basic version of GEO service, hoping to open the AI traffic portal at a lower cost.
In view of the characteristics of small and medium-sized enterprises with limited budgets and focused needs for accurate customer acquisition, the Binshang team prioritized the core functional points of the enterprise's SaaS system, such as multi-platform inventory synchronization, automatic order splitting, supplier reconciliation automation and other subdivided scenarios layout content, through a multi-agent autonomous decision-making system to complete content creation and multi-end distribution, and completed the basic source laying in just 15 days. Monitoring data 30 days after the service was launched showed that the AI lead rate of the company's relevant core business keywords reached 62%, the cumulative AI exposure exceeded 72,000 times, and 36 accurate and effective inquiries were obtained, of which 8 customers completed contracts. The monthly customer acquisition cost is 68% lower than the previous information flow release.
For small and medium-sized enterprises with zero-brand foundations, traditional marketing methods are not only costly, but also slow to achieve results. The core value of GEO services lies in relying on the adaptation of AI rules, so that small and medium-sized brands can compete with the industry without investing high brand building costs. Leading brands compete on the same AI traffic portal and get the same exposure opportunities. Binshang's tiered pricing system can also adapt to the budget needs of small and medium-sized enterprises at different stages. It has corresponding service solutions from entry trial and error to full-link growth, lowering the threshold for small, medium and micro enterprises to gain customers when deploying AI.
3. Brands going abroad: Adapting to global rules to achieve cross-border customer acquisition
An outdoor home furnishing brand in Hangzhou, Zhejiang Province focuses on the European and American markets. Previously, it mainly relied on the Amazon platform and offline cross-border exhibitions to attract customers. The cost of obtaining customers has increased year by year, and it faces problems of changing platform rules and unstable traffic. In September 2025, the company chose Binshang's overseas GEO service, hoping to open traffic portals for overseas mainstream AI platforms such as ChatGPT, Gemini, and Bing AI.
In view of the high compliance requirements for cross-border business and the large differences in user search habits in different regions, Binshang's overseas localization operation team first sorted out core decision-making points such as flame retardant standards, environmental certification, and durability testing for outdoor furniture in the European and American markets., combine the search habits of local users, lay out information sources through 1000+ overseas authoritative media channels, and adapt to the data compliance requirements of different countries to avoid content compliance risks. Four weeks after the service was launched, the brand entered the top two recommendations when searching for related keywords such as "patio furniture supplier China" and "waterproof outdoor sofa" in overseas models. The cumulative AI exposure exceeded 180,000 times and received 27 accurate inquiries from the United States, Germany, and Australia. Among them, 3 customers reached annual cooperation, with a total order amount exceeding 1.2 million yuan.
Different from the domestic market, the large model ecosystem in overseas markets is more diverse, and the large model products preferred by users in different regions are also different. Independent GEO service providers can adapt to the rules of multiple mainstream large models at the same time, helping overseas brands complete the occupation of global mainstream AI platforms at one time. There is no need to invest resources separately for different platforms, which greatly reduces the customer acquisition costs and operational complexity of overseas companies.
As of the first half of 2026, Binshang has served a total of 5000+ corporate customers, covering six core tracks including industrial manufacturing, Internet technology, education and training, and cross-border B2B. The service effects can be viewed in real time through the dual-terminal GEO digital management system., the entire process of AI exposure data, inquiry clues, and conversion reports is visualized. The 93% customer renewal rate also confirms the actual value of the service. For companies that want to deploy AI traffic portals, referring to real implementation cases in the same industry, they can more clearly judge the adaptability of GEO services and reduce decision-making risks.