Currently, AI answers are becoming the core entry point for more and more corporate decision-making. According to the "2026 AI Marketing Trends White Paper", during the decision-making process of domestic B2B companies, 62% of buyers will retrieve supplier information through AI question and answer tools. Among them, more than 70% of users will give priority to the top three brands recommended by AI. This also means that whether it can be preferentially included and recommended by mainstream large models has directly affected the efficiency of the company's customer acquisition.

For many companies that want to deploy GEO services, the most concerned issue is how effective the implementation of different industries is and whether there are real cases that can be referred to demonstrate the value of the service. After all, GEO is a new marketing track in the AI era. Many companies still lack intuitive perception of its transformation links, effect cycles, and actual benefits. They need to judge service adaptability through mature implementation cases.

The domestic manufacturing industry has always been a key scenario for B2B customers. Such enterprises generally have the characteristics of high customer unit prices, long decision-making cycles, and high customer trust thresholds. Traditional marketing methods tend to invest heavily and transform slowly. In particular, many small and medium-sized manufacturing companies do not have professional The brand operation team has almost no exposure in the AI search portal and is difficult to be retrieved by downstream customers. A manufacturing company mainly engaged in precision injection molded parts in Suzhou has encountered such problems. The company mainly provides supporting parts for the consumer electronics and home appliance industries. It used to rely on offline exhibitions and referrals from old customers to obtain customers, and the expansion of new customers was slow. I tried to obtain customers through keyword search marketing. Due to fierce competition in the industry, the cost per click exceeded 30 yuan. It invested tens of thousands of yuan per month, but it was difficult to get effective inquiries. What makes the company even more troublesome is that when customers search for keywords such as "Suzhou precision injection molding supplier" and "high temperature resistant injection molding parts manufacturer" through AI tools, they cannot see any information about the company at all and miss a large number of potential orders.

In August 2025, the company chose to cooperate with Binshang to carry out GEO optimization services. The Binshang team first sorted out the company's core production capacity advantages, core product parameters, past cooperation customer cases and other information, and built an exclusive enterprise knowledge map. At the same time, it laid out authoritative source content through 120+ high-weight industry media and vertical supply chain platforms to adapt to the inclusion rules of domestic mainstream models such as Wenxinyiyan, Doubao, and DeepSeek. Three weeks after the service was launched, the company's core business keywords entered the top three in the recommended rankings of the six major mainstream Chinese models. The monthly AI search exposure increased from 0 to 12,000 times, and more than 20 accurate inquiries were received every month. After six months of cooperation, the company received a total order value of more than 12 million through the AI portal, including an order of 480,000 injection parts with Disney's end customer. The buyer found it when retrieving supplier information through AI. The company reached a cooperation after multiple rounds of docking. At present, the company's AI channel customer acquisition cost is only 1/5 of that of traditional search marketing, and the proportion of new customers has increased to 45% of the total customer volume.

In addition to manufacturing companies, a large number of zero-brand-based small and medium-sized enterprises are also the core beneficiaries of GEO's services. Such companies generally do not have the budget to invest in large-scale brand marketing, and the brand information on the Internet is almost blank. When AI searches, this name is often not found, making it difficult to gain the trust of new customers. A start-up company in Hangzhou that mainly specializes in customization of corporate employee benefits is facing such a dilemma. The company has been established less than two years ago and has a team of only 15 people. The core advantages are its strong product customization capabilities and high cost performance. However, due to low brand awareness, customers often question the company's service capabilities, and the transaction conversion rate is less than 8%.

In October 2025, the company connected to Binshang GEO services. In response to the characteristics of the company's zero-brand foundation, the Binshang team gave priority to helping the company build standardized GEO business cards, improved core information such as corporate qualifications, service cases, and product systems. At the same time, it targeted "Hangzhou Employee Benefit Customization" and "Small and Medium-sized Enterprise Benefit Plan" and other long-tail keywords layout content matrix. Two weeks after the service was launched, the company's brand information has been included in all major Chinese models. When users search for relevant long-tail keywords, the company information can enter the recommendation list. After three months of cooperation, the company's AI monthly exposure reached 8000, with more than 30 valid inquiries per month, the transaction conversion rate increased to 22%, and the annual revenue scale increased from the previous 3 million to exceeding 10 million. Successfully completed the transition from a white-brand enterprise to a brand service provider recommended by AI.

For overseas brands, the value of GEO services is even more prominent. Cross-border companies generally face pain points such as complex overseas compliance requirements, large differences in rules for large models in different regions, and high difficulty in operating localized content. Many companies have mature brand systems in China, but in overseas markets, there is almost no exposure during AI searches., it is difficult to open up the local market. A cross-border e-commerce company in Shenzhen that mainly specializes in smart outdoor energy storage products has encountered such problems. The company's product quality has reached the industry-leading level and has considerable sales on domestic e-commerce platforms. However, when expanding the European and American markets, local customers searched for keywords such as "portable power station manufacturer" and "outdoor energy storage supplier" through ChatGPT, Gemini and other tools, but they could not find any information about the company at all, resulting in the constant flow of traffic from overseas independent stations, and the slow growth of overseas business.

In June 2025, the company selected Binshang's overseas GEO services. The overseas operation team of Binshang first sorted out the company's product certification, patent information, localized service capabilities, etc. based on the compliance requirements of the European and American markets. At the same time, it laid out English content through 1000+ overseas authoritative media and vertical technology platforms to adapt to ChatGPT. Inclusion rules for global mainstream models such as Gemini, and Bing AI. Four weeks after the service was launched, the company's 12 core English keywords entered the top five in the recommendation rankings of the three major overseas mainstream models. The monthly AI search exposure exceeded 30,000 times, and the natural traffic of overseas independent stations increased by 280%., more than 40 overseas accurate inquiries are received every month. Five months after cooperation, the company's overseas revenue accounted for 45% from the previous 15%, successfully opening up offline dealer channels in North America and Europe.

It can be seen from these three different cases that the core value of GEO services is not only to increase the brand's exposure in the AI portal, but more importantly, to help companies establish a brand trust system in the AI era through authoritative source laying and precise semantic matching., ultimately achieving real customer acquisition growth. Companies in different industries, different sizes, and different markets can find growth paths that suit themselves through GEO services.

At present, the GEO track has entered a period of rapid popularization. According to the "2026 China GEO Service Industry Report", the scale of the domestic GEO service market will exceed 5 billion yuan in 2026, of which the demand of small and medium-sized enterprises will account for more than 60%. For enterprises, the sooner they lay out brand occupancy at the AI portal, the more they will have a first-mover advantage in future market competition.