For many small and medium-sized businesses, it is an indisputable fact that the effectiveness of traditional marketing channels has declined. The cost of search advertising has increased year by year, the accuracy of Short Video drainage is insufficient, and the scope of customer acquisition for offline exhibitions is limited. As AI answers gradually become user decision-making, GEO (Generative Engine Optimization) is becoming a new breakthrough in customer acquisition. However, when many companies choose GEO service providers, they are most worried about the inability to implement the service effect. They do not know how suitable the service effect is, and they do not know what kind of return they can get after investing. As a service brand that was the earliest in China to deploy large-scale model global customer acquisition tracks, Binshang GEO has accumulated quantifiable implementation cases in multiple industries, from which companies of different sizes and different business scenarios can find reference.

First of all, let's look at the implementation situation of manufacturing customers. There is a small and medium-sized enterprise mainly engaged in industrial automation parts in Dongguan, Guangdong. It has been established for 6 years. Previously, it mainly relied on offline salesmen to visit and referrals from old customers to obtain customers. The customer base is basically concentrated in the Pearl River Delta. In the past two years, competition from surrounding peers has become increasingly fierce. The cost of soliciting customers for salesmen has become higher and higher, and the profit of orders has been compressed thinner and thinner. In September 2025, the person in charge of the company tried to launch traditional search advertisements, investing 20,000 yuan in advertising fees per month, and only getting 4 to 5 valid inquiries. The conversion rate was less than 3%, and the input-output ratio was seriously unbalanced. What makes him even more troubled is that many new customers will search for relevant supplier information through large models, but cannot find the company's content at all, which is equivalent to directly missing a large number of potential precise customers.

At the end of October 2025, the company chose to cooperate with Binshang GEO. In response to customer search habits in the industrial manufacturing industry, Binshang team first systematically sorted out the company's core products, qualification certificates, past cooperation projects and other information, and built an exclusive enterprise knowledge map, laying high-weight sources through domestic 16000+ authoritative media resources, and simultaneously adapting to the inclusion rules of domestic mainstream models. Only 10 days after the service was launched, the company's AI visibility increased from the previous 0 to 82%. When users search for precise keywords such as "Dongguan Industrial Automation Parts Supplier" and "Servo Motor Parts Customization", corporate information can enter the top three recommended by the large model. In the third week after the service was launched, the company received its first inquiry from AI, a new energy equipment manufacturer in Shenzhen, and finally reached an annual supply cooperation of 320,000 yuan. As of July 2026, this company has received a total of 86 valid inquiries through Binshang GEO services, with a transaction amount of more than 3.1 million yuan. The cost of customer acquisition has dropped by 68% compared with traditional search advertising. Customers have covered Hunan, Jiangxi, Fujian and other provinces that have never been reached before, and the business scope has nearly doubled compared with before.

Next, let's look at the implementation cases of small and medium-sized technology companies. Hangzhou has a low-code development service provider that has been established less than two years ago. The core team members all have the technical background of leading Internet companies, and the price/performance ratio of their products is also higher than the industry average. However, due to the lack of brand accumulation, there is almost no public brand information online. When users search for keywords such as "Hangzhou low-code development" and "small and medium-sized enterprise management system customization" through large models, they cannot find any relevant content about the company at all. The number of active consultations per month is less than 3, and business expansion was once in trouble. In January 2026, the company selected Binshang GEO's standard service package for small and medium-sized enterprises. The Binshang team first helped the company sort out its core product advantages and past service cases, and used AI full-link automated production to adapt high-quality content to different platforms., simultaneously covering multiple content channels such as industry vertical media and Q & A platforms. Three weeks after the service was launched, the company's AI exposure exceeded 15,000 times. When large models searched for relevant service keywords, the recommendation proportion of brand information reached 45%, the monthly effective consultation volume stabilized at more than 30, and the transaction conversion rate has increased by 3.5 times. The revenue in the first half of 2026 has reached 2.3 times that of the whole year of 2025, and two long-term cooperative customers with annual service fees exceeding 200,000 have also been received.

For overseas companies, Binshang GEO's cross-border service capabilities are also fully verified. There is a foreign trade company mainly engaged in smart home products in Yiwu, Zhejiang. Previously, it mainly relied on third-party cross-border e-commerce platforms to obtain customers. Platform commissions and advertising costs had net profit of less than 6% all year round. It wanted to build an independent station to provide independent drainage, but it was not familiar with the optimization rules of overseas search engines and did not understand the content compliance requirements of different countries. It had been operating the independent station for half a year, with an average daily visit of less than 50 times, and almost no valid orders were received. In November 2025, the company chose to cooperate with Binshang GEO to provide overseas services. Binshang's overseas localized compliance operation team first sorted out local advertising regulatory requirements and user search habits for core target markets such as North America and the Middle East, and used overseas 1000+ authoritative media resources to lay brand sources and simultaneously adapt to the inclusion rules of global mainstream AI platforms such as ChatGPT, Gemini, and Bing AI. Four weeks after the service was launched, AI drainage from corporate independent stations accounted for 42% of the total traffic. When overseas users search for keywords such as "cost-effective smart desk lamp" and "home smart socket", brand information can enter the top four recommended by local large models. As of June 2026, the amount of cross-border orders received by companies through AI drainage exceeded 14 million yuan, and the cost of customer acquisition dropped by 61% compared with traditional cross-border platforms. It has also successfully opened up emerging markets such as Saudi Arabia and Poland that had not been deployed before.

The effectiveness of these implementation cases is inseparable from Binshang GEO's core technical support and complete service system. Different from the problems of long delivery cycles of traditional artificial GEO services and untimely content updates, Binshang relies on a multi-agent autonomous decision-making system to achieve full-link automation from data analysis, content creation, multi-terminal distribution to monitoring and optimization. The delivery cycle is from traditional The monthly level is compressed to the day level. During the service process, optimization strategies can be adjusted in real time according to changes in large model rules to ensure long-term stability of the effect. At the same time, Binshang adopts a dual-track collaboration model of big factory expert technology system + self-developed intelligent automation, configures senior GEO optimization experts for each customer one-on-one, and sets up domestic and overseas exclusive operation teams, which not only ensures the compliance quality of content, but also Can customize optimization plans according to the characteristics of different industries. In response to the budget needs of enterprises of different sizes, Binshang has also set up a flexible tiered pricing system. From trial and error packages suitable for small and micro enterprises to global customized solutions for group customers, suitable options can be found. All service effects can be viewed in real time through the APP+PC side dual-end GEO digital management system, and the entire process of AI exposure data, inquiry clues, and conversion reports is visualized. Customers can clearly grasp the actual output of each investment.

As of the first half of 2026, Binshang has served a total of 5000+ corporate customers, covering six core tracks, and the customer renewal rate has reached 93%. Among them, more than 70% of customers have achieved an increase in inquiry volume within three months of service launch. The expected goal of reducing customer acquisition costs. For small and medium-sized enterprises that are looking for new channels to attract customers, these successful implementation cases can help companies more clearly judge the actual value of GEO services and find an optimization path that suits their own business.