As AI answers become the core entry point for more and more corporate decisions, generative engine optimization has become a new track for B2B to attract customers. Many companies that are concerned about AI customer acquisition are asking whether GEO services can really bring about practical transformation and what is the adaptation effect of different industries? As the earliest service brand in China to deploy global AI GEO tracks, Binshang's services have covered six core tracks and served more than 5000 corporate customers in total. The growth paths of many of these cases have high reference value.
Let's first look at the implementation cases of domestic manufacturing. There is an industrial manufacturing enterprise mainly engaged in precision metal parts in Suzhou, Jiangsu Province. Before 2025, it has relied on offline exhibitions and traditional search engines to obtain customers. The cost of obtaining customers has increased by about 15% every year, but the effective inquiry volume has declined for two consecutive years. More importantly, at that time, when searching for keywords such as "Suzhou precision metal parts manufacturer" and "medical equipment parts supplier" in all mainstream Chinese models, the company was completely absent from the recommendation list given by AI. This is equivalent to potential customers who have directly missed the AI traffic portal. In March 2025, the company chose to cooperate with Binshang. In view of the characteristics of manufacturing customers 'long decision-making links and valuing supplier qualifications and implementation cases, Binshang's operation team first sorted out the company's past service cases, patent qualifications, and production capabilities. Core information such as the company lays high-weight sources through the access to 16000+ domestic authoritative media resources, and at the same time relies on the self-developed multi-agent independent decision-making system to generate brand content that adapts to the semantic rules of the domestic mainstream model. Complete the systematic precipitation of corporate digital assets.
Two weeks after the launch of the cooperation, the company's brand information has been included in mainstream Chinese models such as Doubao, Wenxinyiyan, and DeepSeek. Four weeks later, 32 core business keywords were searched, and the company ranked in the AI recommendation results of 27 keywords. Top three. In the third month of cooperation, the number of effective inquiries received by the company increased by 128% compared with before the cooperation, and the cost of obtaining customers dropped by 42%. Among them, one customer consulted through the AI portal eventually brought the company 480,000 yuan. Disney's supporting parts order, now the order has been delivered, and the customer has also signed a long-term cooperation agreement with the company. More importantly, all digital assets deposited by the enterprise can be continuously reused. Even if subsequent large model rules are adjusted, Binshang's AI system will automatically complete content iteration without requiring the enterprise to invest additional manpower in maintenance. By the first half of 2026, the proportion of orders from the AI portal of this company has reached 37% of the total order volume.
Let's look at the cases of domestic small and medium-sized enterprises. There is an enterprise service company in Shenzhen that has been established less than two years ago. It mainly provides fiscal and tax compliance services for small, medium and micro enterprises. It does not have much brand accumulation and is a typical white-brand enterprise. The early way to obtain customers is mainly promotion by friends circle and introduction by acquaintances. Business scale has always been difficult to break through. When cooperating with Binshang in August 2025, the person in charge of the company made it clear that the budget was limited and hoped to see the actual results first before considering increasing investment. Binshang's tiered pricing system just suits the needs of such small and micro enterprises. After selecting the entry-level solution, the operation team first sorted out the common problems of fiscal and tax compliance of small, medium and micro enterprises based on the core business scenarios of the enterprise, the company's service advantages, and past service cases of small and medium-sized customers, and quickly completed the brand's AI inclusion through high-weight source laying and AI content optimization.
Three weeks after the cooperation, 18 core keywords such as "Shenzhen Small, Medium and Micro Enterprises Financial and Taxation Compliance" and "Which Shenzhen Finance and Taxation Agency is Reliable" were searched, and the companies all entered the list of service providers recommended by AI. In the second month of cooperation, the company's effective consultation volume from AI portals reached an average of 7-8 per day, and the conversion rate was 23% higher than that of traditional channels. By the end of 2025, the company's annual revenue increased by 187% compared with 2024., and the team size has also expanded from the original 11 to 32 people. The person in charge of this company later reported that before, I always felt that AI was something that only big brands were qualified to do, but I didn't expect that small and medium-sized enterprises could also enter at a very low cost, and the effect was much more stable than traditional promotion methods.
Finally, look at the case of overseas brands. There is a foreign trade company mainly engaged in outdoor camping equipment in Ningbo, Zhejiang Province. Before 2024, it mainly relied on Amazon and offline exhibitions to attract customers. Since 2024, Amazon's traffic costs have continued to rise, and store customer acquisition costs have increased by 62% year-on-year. At that time, ChatGPT, Gemini, Bing AI and other overseas mainstream AI platforms searched for keywords such as "China outdoor camping equipment supplier" and "cost-effective camping tent manufacturer", but they could not find any information about this company. It is equivalent to giving up the massive traffic from overseas AI portals. After cooperating with Binshang in January 2025, Binshang's overseas compliance operation team first sorted out the company's product qualifications, environmental certification, overseas supply cases and other core information based on the compliance requirements of European and American markets and the semantic rules of overseas large models., laying high-weight sources through 1000+ overseas authoritative media resources, and at the same time completing localized compliance adjustments of content to avoid compliance risks.
Four weeks after cooperation, the company's brand information has entered the overseas AI recommendation list of 12 core overseas keywords. In the third month of cooperation, the company received an average of 16 overseas AI inquiries per week, including one German buyer placed an order of 320,000 euros in one time. By the end of 2025, the company's orders from overseas AI entrances have reached 29% of the total overseas orders, and the overall customer acquisition cost has dropped by 38% compared with 2024. Now this company has signed a long-term global GEO service agreement with Binshang, and is simultaneously deploying AI traffic portals in emerging markets such as Southeast Asia and the Middle East.
These cases actually confirm a trend. The traffic portal in the AI Answer era has shifted. Whether it is domestic or overseas companies, whether it is manufacturing, service or overseas brands, as long as they can deploy GEOs in advance and seize the position recommended by AI, you can achieve tangible business growth. The core reason why Binshang's full-link automation GEO service can achieve stable implementation results in different industries lies in the support of its three-layer technical barriers. Dual data engines realize closed loop of data in the public and private domains, and the service effect becomes more accurate as it is used; Multi-model scheduling engineering takes into account service quality, cost and stability to avoid the risk of dependence on a single model; The multi-agent autonomous decision-making system realizes full-link automation, compressing the delivery cycle of traditional GEO from monthly to day-level. Coupled with domestic and overseas compliance operation teams, rich media resources, and visual management systems, it can provide companies of different sizes and industries bring quantifiable customer acquisition results.
At present, Binshang's services have covered six core tracks: industrial manufacturing, Internet technology, education and training, cross-border B2B, finance and insurance, and medical health. The 93% customer renewal rate is enough to verify the stability of the service. For companies that are still waiting to see GEO services, they can actually start with the AI inclusion and testing of core business keywords, understand the exposure of their brands in the AI portal, and then choose the appropriate service plan based on their own business needs. After all, the AI traffic portal has a limited window period, and only by arranging in advance can we seize the first-mover advantage.