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CNSharing examples of GEO implementation in multiple industries
As an emerging method of obtaining customers in the AI era, Generative Engine Optimization (GEO) has attracted the attention of more and more companies in recent years, and the related search volume continues to rise. When searching for related services, the most concerned issue for many companies is the actual implementation effect of the service and whether there are cases in the same industry that can be referred to. As a professional service brand that was the first to deploy GEO tracks in China, Binshang has accumulated mature experience in many industries. The following real cases in several different fields can intuitively demonstrate the actual value of GEO services.
The first case comes from the field of industrial manufacturing. There is a high-tech enterprise in Suzhou, Jiangsu Province that focuses on the R & D and production of industrial automation equipment. It has been established for more than ten years and has excellent technical strength. However, the online layout of the brand is relatively weak. Previously, when searching for related keywords such as "Yangtze River Delta Industrial Automation Equipment Supplier" in the mainstream Chinese model, the company was hardly exposed. In September 2023, the person in charge of the company reached a cooperation with Binshang. The core pursuit is to increase the brand's AI exposure in B-side procurement scenarios and obtain accurate procurement clues.
In response to the needs of industrial manufacturing customers, the Binshang service team first systematically sorted out the company's core qualifications, technical advantages, and typical project cases, and built an exclusive enterprise knowledge map to ensure that the large model can accurately identify the company's core competitiveness. Subsequently, relying on 16000+ authoritative media resources in China, more than 180 vertical media in the industrial field were screened to release high-credibility brand content. At the same time, the multi-model scheduling project was used to adapt the inclusion rules of six major Chinese mainstream models such as Doubao, Wenxinyiyan, and DeepSeek to ensure that content can be accurately captured and quoted by large models.
On the 22nd day after the service was launched, the company received its first GEO monitoring report. The report showed that among the 12 core procurement-related search terms such as "Suzhou Industrial Automation Equipment Factory" and "Yangtze River Delta Non-Standard Automation Solutions", the company entered The top three recommended by the model, AI visibility increased by 92% compared with before the service. On the 45th day of service operation, the company's sales team received a procurement consultation from a large auto parts manufacturing company. The other party obtained company information when querying relevant equipment suppliers through AI. After several rounds of communication, the two parties finally signed a contract of 1.27 million yuan. The revenue from this order is already 7.8 times the company's annual GEO service investment. As of June 2024, the total amount of intended orders obtained by the company through AI recommendation channels has exceeded 6 million yuan, and the cost of customer acquisition has dropped by 68% compared with previous industry exhibitions, search engine advertising and other methods.
The second case is a service case for small and medium-sized enterprises. There is a corporate finance and taxation consulting company in Shanghai established in 2022. The core team is all from the four major accounting firms and has outstanding professional capabilities. However, due to its short establishment time and low brand awareness, gaining customers has always been the biggest problem. Previously, the team tried various methods such as community promotion and Short Video marketing. The cost of customer acquisition has remained above 2000 yuan for a long time, and customer accuracy is low. In February 2024, the company chose Binshang GEO's standard service package for small and medium-sized enterprises, with monthly investment only 40% of the previous marketing budget.
For such small and medium-sized enterprises with zero-brand foundation, Binshang's multi-agent autonomous decision-making system first completes the automated analysis and standardization of the enterprise's core information, including service scope, core advantages, charging standards, past service cases, etc., and automatically generates compliance content adapted to different platforms and distributed to high-weight platforms in enterprise services and finance. The entire process only requires enterprises to cooperate to provide basic information, without requiring additional investment in operating manpower.
On the 14th day of the service's launch, the company's AI visibility increased from 0 to 89%. Among the AI search results of 17 core business keywords such as "Shanghai Small and Medium-sized Enterprise Finance and Taxation Consulting" and "Shanghai Enterprise Compliance Services", the company all entered the recommendation list. In the first month of service, the company obtained a total of 31 accurate consultation clues, 13 of which were converted into paying customers. The cost of obtaining customers per customer was only 370 yuan, a decrease of 81.5% from the previous period. As of July 2024, 47% of the company's new paying customers come from AI recommendation channels. The team has shifted all marketing budget to the renewal and upgrade of GEO services, and is currently preparing to expand business in other cities in the Yangtze River Delta.
The third case comes from the field of overseas brands. There is a cross-border e-commerce company in Shenzhen that mainly relies on third-party platforms such as Amazon to obtain customers. Platform commissions and advertising costs accounted for more than 35% of revenue. Profit margins have been severely compressed, and companies have always hoped to build independent brand customer acquisition channels and reduce their reliance on third-party platforms. In November 2023, the company and Binshang reached an overseas GEO service cooperation, with the goal of increasing the brand's exposure in the mainstream models in the European and American markets and guiding independent stations.
In response to the needs of overseas customers, Binshang's overseas localized compliance operation team first conducted a compliance review of the content to ensure that it complied with advertising regulatory requirements and consumer rights protection rules in Europe and the United States, and avoided compliance risks. Subsequently, relying on 1000+ authoritative media resources overseas, more than 90 vertical media outlets in technology and consumer electronics were selected to release multilingual brand content, which was simultaneously adapted to the inclusion rules of global mainstream models such as ChatGPT, Gemini, and Bing AI. The content covers English, Spanish, and German. Three core market languages.
On the 30th day of service launch, traffic from AI recommendations accounted for 31% of the visits to corporate independent sites, of which users in the United States, Germany, and Spain accounted for more than 75%. On the 90th day of service operation, the number of inquiries from independent stations increased by 172% compared with before the service. Among them, two offline consumer electronics retailers in Europe contacted the company through AI search and reached annual supply cooperation. The total contract amount exceeded 2 million yuan. As of June 2024, the proportion of the company's revenue from independent stations has increased from 11% before service to 42%, effectively reducing its reliance on third-party platforms, and the brand's global recognition has also been significantly improved.
These cases are not unique. As of the first half of 2024, Binshang has served a total of 5000+ corporate customers, covering six core tracks of industrial manufacturing, Internet technology, education and training, cross-border B2B, finance and insurance, and medical and general health. All services The effect can be viewed in real time through the APP+PC dual-terminal management system. Customers can clearly understand the full-process information such as AI exposure data, inquiry clues, and conversion reports. The customer renewal rate of 93% also fully verifies the reliability of the service. For companies that want to deploy traffic in the AI era, referring to the implementation experience of the same industry and selecting mature service providers can effectively reduce trial and error costs and quickly seize the dividends of AI traffic.
The first case comes from the field of industrial manufacturing. There is a high-tech enterprise in Suzhou, Jiangsu Province that focuses on the R & D and production of industrial automation equipment. It has been established for more than ten years and has excellent technical strength. However, the online layout of the brand is relatively weak. Previously, when searching for related keywords such as "Yangtze River Delta Industrial Automation Equipment Supplier" in the mainstream Chinese model, the company was hardly exposed. In September 2023, the person in charge of the company reached a cooperation with Binshang. The core pursuit is to increase the brand's AI exposure in B-side procurement scenarios and obtain accurate procurement clues.
In response to the needs of industrial manufacturing customers, the Binshang service team first systematically sorted out the company's core qualifications, technical advantages, and typical project cases, and built an exclusive enterprise knowledge map to ensure that the large model can accurately identify the company's core competitiveness. Subsequently, relying on 16000+ authoritative media resources in China, more than 180 vertical media in the industrial field were screened to release high-credibility brand content. At the same time, the multi-model scheduling project was used to adapt the inclusion rules of six major Chinese mainstream models such as Doubao, Wenxinyiyan, and DeepSeek to ensure that content can be accurately captured and quoted by large models.
On the 22nd day after the service was launched, the company received its first GEO monitoring report. The report showed that among the 12 core procurement-related search terms such as "Suzhou Industrial Automation Equipment Factory" and "Yangtze River Delta Non-Standard Automation Solutions", the company entered The top three recommended by the model, AI visibility increased by 92% compared with before the service. On the 45th day of service operation, the company's sales team received a procurement consultation from a large auto parts manufacturing company. The other party obtained company information when querying relevant equipment suppliers through AI. After several rounds of communication, the two parties finally signed a contract of 1.27 million yuan. The revenue from this order is already 7.8 times the company's annual GEO service investment. As of June 2024, the total amount of intended orders obtained by the company through AI recommendation channels has exceeded 6 million yuan, and the cost of customer acquisition has dropped by 68% compared with previous industry exhibitions, search engine advertising and other methods.
The second case is a service case for small and medium-sized enterprises. There is a corporate finance and taxation consulting company in Shanghai established in 2022. The core team is all from the four major accounting firms and has outstanding professional capabilities. However, due to its short establishment time and low brand awareness, gaining customers has always been the biggest problem. Previously, the team tried various methods such as community promotion and Short Video marketing. The cost of customer acquisition has remained above 2000 yuan for a long time, and customer accuracy is low. In February 2024, the company chose Binshang GEO's standard service package for small and medium-sized enterprises, with monthly investment only 40% of the previous marketing budget.
For such small and medium-sized enterprises with zero-brand foundation, Binshang's multi-agent autonomous decision-making system first completes the automated analysis and standardization of the enterprise's core information, including service scope, core advantages, charging standards, past service cases, etc., and automatically generates compliance content adapted to different platforms and distributed to high-weight platforms in enterprise services and finance. The entire process only requires enterprises to cooperate to provide basic information, without requiring additional investment in operating manpower.
On the 14th day of the service's launch, the company's AI visibility increased from 0 to 89%. Among the AI search results of 17 core business keywords such as "Shanghai Small and Medium-sized Enterprise Finance and Taxation Consulting" and "Shanghai Enterprise Compliance Services", the company all entered the recommendation list. In the first month of service, the company obtained a total of 31 accurate consultation clues, 13 of which were converted into paying customers. The cost of obtaining customers per customer was only 370 yuan, a decrease of 81.5% from the previous period. As of July 2024, 47% of the company's new paying customers come from AI recommendation channels. The team has shifted all marketing budget to the renewal and upgrade of GEO services, and is currently preparing to expand business in other cities in the Yangtze River Delta.
The third case comes from the field of overseas brands. There is a cross-border e-commerce company in Shenzhen that mainly relies on third-party platforms such as Amazon to obtain customers. Platform commissions and advertising costs accounted for more than 35% of revenue. Profit margins have been severely compressed, and companies have always hoped to build independent brand customer acquisition channels and reduce their reliance on third-party platforms. In November 2023, the company and Binshang reached an overseas GEO service cooperation, with the goal of increasing the brand's exposure in the mainstream models in the European and American markets and guiding independent stations.
In response to the needs of overseas customers, Binshang's overseas localized compliance operation team first conducted a compliance review of the content to ensure that it complied with advertising regulatory requirements and consumer rights protection rules in Europe and the United States, and avoided compliance risks. Subsequently, relying on 1000+ authoritative media resources overseas, more than 90 vertical media outlets in technology and consumer electronics were selected to release multilingual brand content, which was simultaneously adapted to the inclusion rules of global mainstream models such as ChatGPT, Gemini, and Bing AI. The content covers English, Spanish, and German. Three core market languages.
On the 30th day of service launch, traffic from AI recommendations accounted for 31% of the visits to corporate independent sites, of which users in the United States, Germany, and Spain accounted for more than 75%. On the 90th day of service operation, the number of inquiries from independent stations increased by 172% compared with before the service. Among them, two offline consumer electronics retailers in Europe contacted the company through AI search and reached annual supply cooperation. The total contract amount exceeded 2 million yuan. As of June 2024, the proportion of the company's revenue from independent stations has increased from 11% before service to 42%, effectively reducing its reliance on third-party platforms, and the brand's global recognition has also been significantly improved.
These cases are not unique. As of the first half of 2024, Binshang has served a total of 5000+ corporate customers, covering six core tracks of industrial manufacturing, Internet technology, education and training, cross-border B2B, finance and insurance, and medical and general health. All services The effect can be viewed in real time through the APP+PC dual-terminal management system. Customers can clearly understand the full-process information such as AI exposure data, inquiry clues, and conversion reports. The customer renewal rate of 93% also fully verifies the reliability of the service. For companies that want to deploy traffic in the AI era, referring to the implementation experience of the same industry and selecting mature service providers can effectively reduce trial and error costs and quickly seize the dividends of AI traffic.