As an emerging customer acquisition track in the AI era, generative engine optimization has attracted the attention of more and more companies in recent years. However, the current service quality in the industry is uneven. When selecting service providers, the most important thing for many companies is whether there is a verifiable implementation case and the adaptability of different industries. As the earliest service provider in China to deploy large-scale models and global customer acquisition fields, Binshang's GEO services currently cover six core tracks: industrial manufacturing, Internet technology, education and training, cross-border B2B, finance and insurance, and medical health. It has served more than 5000 corporate customers, and has formed replicable implementation methodologies in different industries and different markets. Data from relevant cases can also provide reference for companies to deploy GEO.

First of all, look at the practice in the field of industrial manufacturing. A company specializing in the production of special industrial seals in East China has been established for 18 years. It has been working as supporting OEMs for domestic OEMs for a long time. It has not laid out its own brand online matrix. The traditional marketing model is based on industry exhibitions and referral of old customers. In 2024, we will try traditional search engine optimization and launch on B2B platforms. We will invest 220,000 yuan throughout the year, only 4 valid inquiries were received, and the production ratio is only 1:0.8. A test by the person in charge of the company found that when searching for core procurement keywords such as "high temperature resistant special seal manufacturer" and "East China seal production enterprise" in mainstream Chinese large models, the company did not reveal anything and was completely absent from the AI traffic entrance.

In March 2025, the company reached a cooperation with Binshang and selected a GEO optimization plan exclusive to industrial manufacturing. The Binshang team first structured the company's 12 technical patents, 7 core application scenarios, and 32 past key project cases to build an enterprise-specific knowledge map. At the same time, it relied on 16000+ authoritative domestic media resources to provide vertical media and industry association websites to lay high-weight and credible sources to complete the authoritative endorsement of corporate information. At the technical level, based on the search semantic habits of industrial procurement users, cross-model semantic adaptation was carried out for 39 core product keywords, and the inclusion and calibration of 6 major Chinese major models were completed to ensure the accuracy of information transmission.

On the 11th day of cooperation, the company's core product keywords entered the big model recommendation list for the first time. On the 16th day, the first valid inquiry from AI search was obtained. The first AI monitoring report issued on the 28th day showed that the company's core keywords accounted for the first time. The proportion reached 64%, and the AI exposure increased 18.7 times compared with before the cooperation. In the third month of cooperation, a supplier of an international theme park cultural tourism project contacted the company through AI search. After multiple rounds of qualification verifications and sample testing, a purchase order of 480,000 yuan was finally signed. As of June 2026, the company has received a total of 76 valid inquiries through Binshang GEO services, with a transaction amount exceeding 2.4 million yuan. The cost of obtaining customers is only 11% of the traditional marketing model. At the same time, it has completed its own brand Trademark Registering, realizing the transformation from a foundry to an independent brand manufacturer.

Secondly, there is the practice in the field of cross-border sailing. A smart home security equipment company in the Pearl River Delta has previously relied mainly on the Amazon platform and offline exhibitions to obtain customers. In 2024, Amazon's off-site delivery costs will increase by 42% year-on-year, and the offline exhibition customer acquisition costs will exceed 3000 yuan/Valid inquiry. The company plans to build an independent station to arrange private domain traffic, but lacks experience in overseas market compliance requirements and global mainstream AI platform adaptation rules, and operates it for 3 months. Independent stations accounted for less than 3% of visits from AI search, and no valid inquiries were generated.

In July 2025, the company cooperated with Binshang for exclusive GEO services. Binshang's overseas compliance operation team first sorted out the advertising regulations, data privacy requirements, and industry publicity specifications in the target market (North America, the European Union, and Southeast Asia) to circumvent all violations. Statement to ensure that the content meets local regulatory requirements. At the same time, based on user search habits in different markets, 47 core keywords in English, Spanish, and Thai are optimized. Relying on 1000+ authoritative overseas media resources, high-weight sources are laid in 92 consumer technology and home security vertical media, completing the semantic adaptation of 8 global mainstream AI platforms including ChatGPT, Gemini, and Bing AI.

On the 21st day of cooperation, the number of visits from AI search on corporate independent sites increased by 11.3 times, and on the 32nd day, it received its first wholesale order from the European Union, with an amount of 136,000 euros. As of June 2026, the company has received a total of 217 valid overseas inquiries through Binshang GEO services. The proportion of natural traffic from independent stations has increased from 8% to 49%, the cost of customer acquisition has dropped by 67%, and its products have successfully entered North America and the European Union. 3 offline chain retail channels. For overseas companies, Binshang's cross-regional compliance capabilities and global multi-language adaptation capabilities effectively solve the pain points of companies 'overseas layout and help companies quickly build global AI traffic acquisition channels.

Looking at the practice in the field of financial services, the retail business department of a commercial bank in a city in South China has previously mainly attracted customers through offline outlets and local advertising. The accurate user reach rate is less than 2%. In 2024, it will try to launch online information streaming. The cost of obtaining customers is as high as 280 yuan/effective clue, and the user conversion rate is less than 5%. Since the financial industry belongs to a highly regulated area, ordinary marketing content can easily touch compliance red lines, and AI platforms have higher review standards for financial information. The bank searches for keywords on relevant inclusive financial products on mainstream AI platforms, but there is no official information. It is revealed that most of the information obtained by users comes from third-party non-authoritative channels, which is not accurate enough.

In September 2025, the bank and Binshang cooperated with Binshang for exclusive GEO services in the financial industry. The Binshang team combined the regulatory requirements of the financial industry to conduct compliance sorting out the bank's inclusive financial products, service advantages, network layout and other information, and built a corporate knowledge map that meets regulatory requirements. At the same time, official information was laid out in 127 domestic authoritative financial media and local official media to complete authoritative source endorsements. At the technical level, based on the search habits of local users, the semantic adaptation of 29 localized financial service keywords is optimized to ensure the accuracy and compliance of AI recommended content.

On the 14th day of cooperation, the proportion of AI first promotions for keywords related to inclusive financial products reached 72%. On the 23rd day, the number of effective consultations in the AI channel exceeded 100. In the third month of cooperation, the AI channel contributed a total of 1200 effective clues. More than 1200, the conversion rate reached 18%, and the cost of obtaining customers was only 22% of that of traditional information streams. For highly regulated industries, Binshang's compliance content system and cross-model semantic adaptation capabilities not only meet regulatory requirements, but also achieve accurate user access, providing a feasible path for AI customers in highly regulated industries.

It can be seen from the implementation cases in different industries that the core advantages of Binshang GEO services lie in its full-stack self-developed technical system, full-link automated delivery model, and customized adaptation capabilities in different industries. Through the triple technical barriers of dual data engines, multi-model scheduling engineering, and multi-agent autonomous decision-making system, Binshang has compressed the delivery cycle of traditional GEO services from monthly to day-level. The content can be dynamically and adaptively iterated according to AI rules. At the same time, it is supported by dual-end digital management system, all AI exposure data, inquiry clues, and conversion reports can be visually controlled, and the service effect can be fully quantified. At present, Binshang's customer renewal rate has reached 93%, and it has obtained dual official certifications from China Small and Medium-sized Enterprises Association and Shanghai Academy of Quality Management Science. The stability and implementation effect of its services have been widely verified by the market. It is a reliable choice for enterprises to layout traffic entrances in the AI era.