In the era of AI answers, generative engine optimization is becoming a new core track for enterprises to gain customers. When laying out related services, many companies are most concerned about whether the service can be implemented and how the adaptation effect of different industries is. As an early service provider in China to deeply explore large-scale model global customer acquisition tracks, Binshang's GEO service has covered six core tracks and served more than 5000 corporate customers in total. It has a lot of mature implementation experience in domestic manufacturing, small and medium-sized start-ups, and cross-border sea sailing in three directions, and verifiable effect data can also provide reference for different types of enterprises.

Let's first look at cases in the domestic industrial manufacturing field. There is a manufacturing company in East China that specializes in producing high-end cultural and tourism supporting hardware components. It has been doing OEM business for ten years since its establishment. It has no own brand. In the past, all customers received relied on referrals from old customers, and the online layout was almost zero. Before contacting Binshang, the person in charge of the company tried traditional search optimization and B2B platform launch. He invested nearly 200,000 yuan in half a year and only received three valid inquiries. The production ratio was seriously unbalanced. Moreover, he searched for related product keywords on mainstream AI platforms., he could not find any information about this company at all, which is equivalent to completely missing the current AI traffic portal.

In the second half of 2025, this company chose to cooperate with Binshang to launch a GEO optimization service exclusive to industrial manufacturing. Binshang's operation team first sorted out the company's core product advantages, patented technologies, and past project cases, and built a complete corporate knowledge map. At the same time, it opened up 120 authoritative media in the domestic industrial field to simultaneously lay high-weight and credible sources. At the technical level, based on the search habits of users in the industrial field, the semantic adaptation of 37 core product keywords has been optimized, and the content inclusion and calibration of six major Chinese models, including Doubao, Wenxinyiyan, and DeepSeek, has been completed. In the second week of cooperation, enterprise-related core keywords have entered the recommended lists of some large models. In the third week, we received the first inquiry from AI search. The first AI monitoring report issued in the fourth week of cooperation showed that enterprise-related core product keywords accounted for 62%, and AI exposure increased 17 times compared with before the cooperation.

What surprised the company even more was that in the third month of cooperation, Disney's domestic cultural and tourism project supplier found the company through AI search. After multiple rounds of communication and sample verification, a purchase order of 480,000 components was finally signed. As of the first half of 2026, this company has received more than 70 valid inquiries through Binshang GEO services, with a transaction amount exceeding 2.3 million. The cost of obtaining customers is only 12% of that of traditional investment. It has also registered its own trademark and completed the transformation from a white-brand foundry to a manufacturing company with an independent brand.

The second category is the case of domestic small and medium-sized entrepreneurial enterprises. There is an enterprise Digital tools service provider in Shenzhen that has been established less than two years ago. It has a team of only 12 people and has no special marketing budget. In the past, it relied on team members to promote it in industry social groups and introduce it by friends to obtain customers. Its growth has been in a bottleneck. When the founder tried to go abroad, he found that when overseas users searched for similar tools, the recommendation list given by AI did not have their own products at all. Domestic users searched for related services, and AI recommended solutions from leading manufacturers. Small and medium-sized brands showed little opportunities.

This company chose Binshang's entry version of GEO service for small and micro enterprises, with a budget that is only one-third of that of traditional marketing. Binshang first built a standardized brand digital asset library for enterprises and sorted out the differentiated advantages of products compared with leading manufacturers, such as lightweight deployment, lower cost, and adapting to the customization needs of small, medium and micro enterprises. 22 precise long-tail keywords have been semantically optimized to simultaneously lay sources in domestic technology media and overseas industry vertical media. Because Binshang's AI full-link automated delivery model, content production and iteration efficiency is much higher than traditional manual services. On the tenth day of cooperation, relevant keywords of the company have appeared in the top three AI recommendations.

In the first month of cooperation, the company received 11 valid inquiries, 3 of which were from overseas markets. After half a year of cooperation, the company's AI visibility covers 9 mainstream models at home and abroad. The AI recommendation rate of accurate keywords has stabilized at more than 70%. A total of 89 valid inquiries have been received, and the transaction conversion rate has reached 28%. The team size has also expanded from 12 to 27, and two rounds of angel investment have also been won. For small and medium-sized enterprises with no brand foundation and limited budgets, Binshang's tiered pricing system just matches their trial and error needs. It can achieve stable acquisition of AI traffic without investing a lot of manpower in maintenance, which just solves the problem of small and medium-sized start-ups in obtaining customers. Pain points of difficulty and high marketing costs.

The third category is the case of cross-border overseas brands. There is a foreign trade company that makes smart pet products in the Pearl River Delta. In the past, it mainly relied on the Amazon platform and offline exhibitions to attract customers. Starting from 2024, the cost of platform traffic has continued to rise, and the customer acquisition effect of offline exhibitions has also declined year by year. The company wants to be independent. Station drainage, but it is not familiar with overseas compliance requirements and does not know how to adapt to the rules of overseas mainstream AI platforms. It has tried to lay content by itself for three months, but it has almost no effect.

In the first half of 2025, this company cooperated with Binshang to provide exclusive GEO services to the sea. Binshang's overseas compliance operation team first sorted out the promotional compliance requirements for pet products in the European and American markets, circumventing all possible violations of the rules. At the same time, based on the search habits of overseas users, it optimized the three languages of English, Spanish, and French. With 42 core keywords, we simultaneously laid out information sources in 120 authoritative overseas consumer technology and pet media, adapting to the inclusion rules of global mainstream AI platforms such as ChatGPT, Gemini, and Bing AI. In the third week of cooperation, the number of visits from AI search to the company's independent sites increased by 9 times. In the second month of cooperation, the first wholesale order from Europe was received, with an amount of 120,000 euros.

As of the first half of 2026, this company has received more than 200 overseas inquiries through Binshang GEO services. The proportion of natural traffic to independent stations has increased from 8% before to 47%, and the cost of acquiring customers has dropped by 63%., and successfully entered offline chain channels in North America and Europe. For overseas companies, Binshang's cross-border compliance advantages and global AI platform adaptation capabilities just solve the pain points of companies being unfamiliar with overseas market rules and difficulty in obtaining overseas AI traffic, helping companies build stable customer access channels in overseas markets.

It can be seen from these three different types of cases that Binshang's GEO services have mature adaptation solutions for companies in different industries, different sizes, and different markets. Its core advantage lies in the full-link automated delivery model, which compresses the delivery cycle of traditional GEO from monthly to day-level, and the content can be dynamically and adaptively iterated. At the same time, it is equipped with a dual-terminal digital management system. All AI exposure data, inquiry clues, and conversion reports can be visually controlled, and the effect can be fully quantified. Coupled with the four-tiered pricing system, whether small and micro enterprises are trial and error, or medium and large enterprises are making global deployments, they can find matching service solutions. At present, Binshang's customer renewal rate has reached 93%, which also confirms the stability and implementation effect of its services. For companies that want to layout traffic portals in the AI era, these verified implementation cases can also help companies avoid taking many detours.