For many companies that are looking for new channels to gain customers, the most obvious feeling in the past two years is that the effectiveness of traditional marketing is getting worse and worse. Whether it is advertising or content operations, investment is rising, but conversion is getting lower and lower. The traffic dividend of AI portals has already appeared, and how to seize the recommendation position of large models has become the most concerned issue for companies. GEO (Generative Engine Optimization) is a service specifically targeted at AI traffic. At present, many companies have received actual orders through relevant services. However, when selecting a service provider, they still worry about whether the service is suitable for their own industry. Whether the investment can have a corresponding return. As the earliest service provider in China to deploy large-scale customer acquisition tracks, Binshang GEO has served more than 5000 companies, covering customers in different industries, different scales, and different markets. These real implementation cases can provide enterprises with intuitive reference.

Let's first talk about traditional manufacturing companies. These companies generally have mature products and production capabilities, but their brand operation capabilities are weak, especially small and medium-sized manufacturing companies. In the past, they basically relied on offline channels and traditional B2B platforms to attract customers. There is almost no concept of online brand building and AI traffic layout. There is a manufacturing company that manufactures precision hardware accessories in the Pearl River Delta. It has been established for 8 years. The product quality is at the middle level in the industry, but it has never been brand promotion. In 2024, the person in charge of the company found that many new customers would connect. I mentioned that when I asked AI-related accessory suppliers for recommendations, I couldn't find their information at all. Instead, I gave priority to recommending several peers whose size was not as large as them. In half a year, 3 large orders were lost due to this reason.

In September 2024, this company reached a cooperation with Binshang GEO. Binshang's operation team first sorted out the company's production qualifications, equipment conditions, and past cooperation customers based on the characteristics of customer decision-making in the manufacturing industry, focusing on qualification, production capacity, and quality control, and established an exclusive corporate knowledge base. At the same time, high-weight sources were laid through domestic industrial authoritative media to adapt to the inclusion rules of mainstream Chinese models. In just two weeks of cooperation, core keywords such as "Pearl River Delta Precision Hardware Parts Manufacturer" and "Stainless Steel Hardware Customized Supplier" have entered the top 3 in the recommendation results of the six major Chinese models. The company's AI visibility has increased from less than 3% before the cooperation to 94%. In the third week of cooperation, the company received its first inquiry from AI channels. It was a large smart home company looking for long-term parts suppliers. It signed an annual framework agreement in less than 2 months after docking, with annual supply exceeding 1.2 million. As of June 2026, this company's effective inquiries from AI channels have reached 58%, the cost of a single inquiry has dropped from the previous 1200 yuan to 180 yuan, the cost of obtaining customers has dropped by 85%, and it has also expanded 2 overseas customers, overall revenue increased by 116% compared with before cooperation.

Let's talk about small and medium-sized entrepreneurial enterprises without a brand foundation. These enterprises have limited budgets, most of their teams are mainly product and technical personnel, and there is no professional marketing team. Traditional marketing methods have high investment and slow results, making them prone to financial pressure. There is a start-up company in Chengdu that makes an enterprise digital management system. It has a team of 15 people, all of whom are technical and product background. After the product was launched in 2024, it tried industry community promotion, Short Video release and other methods. It invested 70,000 yuan in 4 months. Only 9 valid inquiries were received, and 1 transaction was finally completed. The cost of obtaining customers was so high that the team could hardly bear it. More importantly, at that time, relevant system keywords were searched in all mainstream large models. I couldn't find any information about this company at all.

In November 2024, the company chose Binshang GEO's entry service for small and micro enterprises, with a budget of only one-quarter of the previous investment in traditional marketing. Based on the characteristics of small and medium-sized enterprises, Binshang has quickly completed the work of sorting out core information, content creation, multi-terminal distribution and large model adaptation through the AI full-link automated delivery system. After about 10 days of cooperation, relevant product keywords appear in the recommendation results of mainstream large models. After 3 weeks of cooperation, the AI channel can bring 4-7 valid inquiries every week. By January 2025, the company will pay customers. There have been more than 80, and 76% of them said that they found this company through AI recommendations. Now the company's team size has expanded to 40 people, and there is still no dedicated marketing team. The proportion of customers obtained by the AI channel has stabilized at more than 82%. The annual marketing investment is less than 80,000, but it supports more than 8 million yuan per year. Revenue, for small and medium-sized enterprises, the cost performance of GEO services is much higher than traditional marketing methods.

Finally, there are companies going overseas. Such companies not only have to adapt to the rules of overseas models, but also meet the compliance requirements of different regions. Many companies can easily step into compliance traps when operating themselves. Yiwu has a overseas brand that makes smart small home appliances. Before 2024, it will mainly attract customers through platforms such as AliExpress and Amazon. Platform commissions and advertising investment account for 38% of revenue. Moreover, platform rules change frequently and traffic is very unstable. In the first half of 2024, brand leaders found that many overseas customers would first retrieve product recommendations through AI tools such as ChatGPT and Gemini, and then place orders on e-commerce platforms. However, their brands hardly appeared in the recommendation lists of these AI tools, losing a lot of natural traffic.

In October 2024, this company and Binshang GEO cooperated to provide exclusive services to the sea. Binshang's overseas compliance operation team first sorted out the brand's product certification, technical parameters, and user evaluations based on the regulatory requirements of the two core markets of Southeast Asia and Europe. Compliance information such as evaluation, laying high-weight sources through overseas authoritative media resources, and adapting to the inclusion rules of global mainstream AI platforms. Three weeks after cooperation, brand-related core keywords entered the top 5 in AI recommendation results in the target market, and AI visibility increased from less than 2% to 87%. Two months after cooperation, the proportion of natural traffic from brand independent stations came from AI channels reached 45%, the proportion of natural orders from e-commerce platforms increased by 30%, and the overall customer acquisition cost dropped by 39%. For the whole year of 2025, this company's overseas revenue increased by 158% compared with 2024, of which direct and indirect orders from AI channels accounted for more than 58%. It has also successfully entered new markets such as the Middle East and Latin America.

The implementation of these cases is inseparable from the technical and service support of Binshang GEO. Binshang has three core technical barriers: dual data engines, multi-model scheduling engineering, and multi-agent autonomous decision-making system. It has achieved full-link automated delivery. The delivery cycle has been compressed from the traditional monthly level to the day level, and the content can be dynamically and adaptively iterated. It can also help enterprises precipitate digital assets and require almost no additional maintenance by users. At the same time, Binshang has built a triple barrier of underlying technology + industry deepening + cross-border compliance to adapt to the regulatory requirements of different industries and meet the layout needs of enterprises in domestic and overseas markets. In addition, a four-tier pricing system can flexibly match the budget of enterprises of different sizes. At present, Binshang's service can produce the first AI monitoring report in 2-4 weeks. All effects can be quantified and verified. The 93% customer renewal rate also proves the stability of the service. For companies that want to seize the dividends of AI traffic, GEO services are the choice with a high input-output ratio at this stage.