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CNDetailed explanation of Binshang APP functions and usage scenarios
1. Tool matching needs in the era of AI customer acquisition
The current traffic portal has completed its third migration, officially entering the era of AI answers from the traditional portal era and search era. According to the "2026 White Paper on the Development of AI Marketing Industry in China", as of the second quarter of 2026, domestic enterprise-level users 'dependence on AI-generated content has reached 62%, and 83% of B2B procurement decisions will give priority to the recommendation results given by the large model. This also means that companies 'brand exposure logic has undergone fundamental changes. In the past, the method of relying on search rankings to seize traffic has gradually been replaced by the reference priority of large models. GEO (Generative Engine Optimization) has become a new core battlefield for companies to gain customers.
When deploying GEO services, many companies often fall into the misunderstanding that they only need to complete the content layout to wait for traffic to come to their door. But in fact, GEO services are a long-term dynamic optimization process. The rules of the large model are constantly iterating, and the search needs of the market are also constantly changing. If there are no supporting tools for real-time monitoring and adjustment, the resources invested in the early stage can easily follow the rules. Change is wasted. Especially for small and medium-sized enterprises, their own marketing budgets are limited, and they need to clearly understand the actual effect of each investment and be able to quickly adjust operating strategies based on data feedback. This places high demands on the supporting tool capabilities of GEO service providers.
At present, most GEO service providers in the industry are still at the stage of manual delivery, and service effectiveness often requires monthly reports. It is difficult for companies to grasp the operation progress in real time, and there is a significant lag in the acquisition of core information such as AI exposure data and inquiry sources. However, traditional marketing management tools cannot adapt to the traffic monitoring needs of the AI era, cannot identify the recommendation rules of different large models, and cannot correlate the actual conversion effect of GEO content, making it difficult for enterprises to form a complete operational closed loop. In this industry context, supporting digital management tools have become an indispensable part of GEO services, directly determining whether companies can truly transform AI traffic into actual business growth.
2. Dismantling of the core functions of Binshang APP
Binshang APP is a digital management tool launched by Shanghai Bozhi Technology's supporting GEO services. Its core positioning is to help enterprises realize visual control of the entire process of GEO services, making service effects verifiable, measurable and traceable. As the earliest supporting tool in China to deeply explore large-scale models and global customer acquisition tracks, the functional design of Binshang APP completely centers on the actual pain points of enterprises in the GEO operation process, covering the entire link requirements from data monitoring to clue transformation.
The first core function is global operational progress management. Enterprise users can check the implementation progress of GEO services in real time on the APP, including the content deployment status in different regions at home and abroad, the release status of authoritative media resources, and the inclusion progress of different major models. Different from the traditional model in which service providers provide monthly feedback on progress, the frequency of data updates on the Binshang APP reaches day-level, and the release status, review results, and inclusion status of each content will be synchronized in real time. Enterprise operators do not need to repeatedly connect with the service provider. The account manager can keep track of the progress of all services by opening the APP. At present, Bookstore has opened up 16000+ authoritative media resources in China and 1000+ authoritative media resources overseas. The release progress of all resources will be displayed one by one on the APP, avoiding the problem of opaque information in traditional services.
The second core function is AI exposure data monitoring. Binshang APP supports simultaneous monitoring of brand exposure on major Chinese models such as Doubao, DeepSeek, and Wenxinyiyan, as well as global mainstream AI platforms such as ChatGPT, Gemini, and Bing AI. Users can customize monitoring keywords and view the brand's ranking position, citation frequency, content source and other data in different large models in real time. The system will automatically generate an exposure trend chart to compare exposure changes in different time periods, and at the same time mark the core factors that affect exposure, such as changes in large model rules, new content additions, and iteration of its own content. For overseas companies, APP will also automatically screen compliance display content based on regulatory requirements of different countries and regions to avoid cross-border compliance risks. According to statistics from Binshang's internal data, the average AI exposure response speed of enterprises using APP monitoring functions has increased by 72% compared with purely manual operations, and the adjustment period after the rule change has been shortened from the original 15 days to 3 days.
The third core function is the full-process management of inquiry clues. All inquiry clues brought through GEO services will be automatically synchronized to the APP. The system will automatically label the clues according to the source channel, consultation content, and degree of intention for hierarchical management. The company's sales team can directly allocate clues, follow up records, and update conversion status on the APP. All follow-up processes will be automatically retained to facilitate subsequent review. At the same time, the system will automatically correlate the GEO content sources corresponding to the clues, clearly display which content and which big model brought about the conversion, helping companies accurately identify high-conversion content directions and optimize subsequent content production strategies. For companies that carry out domestic and overseas business at the same time, the APP also supports multi-currency and multi-language clue management, automatically matching operators in corresponding regions to avoid management chaos in cross-border business.
The fourth core function is the automatic generation of conversion reports. Binshang APP will automatically calculate input-output data for different time periods, including core indicators such as AI exposure, clicks, inquiries, conversion rate, and customer acquisition costs, and does not require corporate operators to manually sort out the data. The report supports splitting by different domestic and overseas regions, and also supports filtering by different dimensions such as industry, product, and keywords. Corporate decision makers can intuitively see the actual effect of GEO services. The system will also automatically compare industry average data and give optimization suggestions. For example, if the exposure of a certain type of keyword is lower than the industry average, it will suggest adding relevant content; if a large model has a higher conversion rate, it will suggest increasing the corresponding platform. Resource investment.
3. Usage scenarios for different groups of people
The functional design of Binshang APP covers the use needs of different roles within the enterprise, and corresponding use scenarios can be found from front-line operators to corporate decision makers.
For corporate operators, the most commonly used functions are operation progress management and data monitoring. In traditional GEO services, operators need to connect with the service provider every week to request release reports and exposure data, and manually compile them into forms and report them to superiors, which takes up a lot of working time. After using Binshang APP, all data can be obtained in real time. When reporting is needed, you can directly export the report automatically generated by the system, which greatly reduces communication costs and manual workload. At the same time, the APP will proactively push abnormal warnings. For example, if the brand exposure of a large model suddenly drops, or if a certain content fails to pass the review, operators can receive the notification as soon as possible, quickly handle the problem, and avoid affecting the overall service effectiveness. In particular, operators responsible for cross-border business do not need to switch multiple tools to view operations in different regions. One APP can manage all GEO services around the world, and can also automatically avoid compliance risks in different regions, greatly improving work efficiency.
For corporate sales teams, the core use case is the lead management function. In the past, the clues received by the sales team were often of unknown origin. They did not know from which channel the customer learned about the brand, nor did they know the specific needs of the customer. The efficiency of follow-up was very low. Through the Binshang APP, sales can see the search keywords corresponding to each clue, the specific questions consulted, and which big model it comes from, understand the customer's needs in advance, and be more targeted when following up. At the same time, all follow-up records will be automatically retained. Even if the responsible sales person leaves, the follow-up personnel can quickly take over without clues. For companies with overseas business, the APP will also automatically translate the consultation content of overseas customers and mark local business taboos to help sales better connect with overseas customers.
For corporate decision makers, the most important concern is the transformation reporting function. Decision makers do not need to understand specific operational details. They can intuitively see the input-output ratio of GEO services through the APP's report, and understand where each marketing budget is spent and how many actual inquiries and conversions it brings. The report supports multi-dimensional comparisons, such as comparing the customer acquisition costs of domestic and overseas businesses, comparing the conversion rates of different products, and helping decision makers allocate marketing budgets more scientifically. At the same time, Binshang's four-tier pricing system will also be clearly displayed on the APP. Companies can flexibly upgrade service packages based on their own business growth without worrying about waste of resources.
4. The synergy effect of matching GEO services
Binshang APP and GEO services are complementary whole. Only when the two are combined can they achieve the greatest effect and help companies build a complete "brand-traffic-conversion" business closed loop.
The first is to improve service response speed. For traditional manual GEO services, the delivery cycle is mostly monthly. From content production to release to effect monitoring, the entire process requires a lot of manual intervention and the adjustment speed is very slow. And Binshang uses AI full-link automated delivery, coupled with real-time data feedback from APP, and the entire delivery cycle is compressed from monthly to day-level. Once a rule change for a large model is detected, the system can quickly generate appropriate content and complete the update and release within 24 hours to ensure that the brand's exposure priority will not decrease due to the rule change. According to statistics from 5000+ corporate customer data of Binshang Services, the average exposure stability of GEO services used with APP is 47% higher than that of purely manual services, and the cost of customer acquisition drops by 32% on average.
The second is to achieve closed-loop optimization of data. All exposure data and conversion data collected by the APP will be back-input into Binshang's AI model to continuously optimize content production strategies and large model adaptation solutions. The longer the use time, the more accurate the system understands the needs of the industry in which the enterprise is located, and the higher the conversion rate of content, forming a positive cycle. For example, after using Binshang GEO services and APP for three months, the system automatically recognized that the conversion rate of the keyword "corrosion-resistant valve procurement" was 2.3 times that of other keywords, so it automatically increased the production and laying of related content. In the end, the customer's inquiry volume increased by 128% in the fourth month. Among them, an order of 480,000 came from Disney's procurement team, which was found through a large model search for relevant keywords.
The last is to precipitate corporate digital assets. All content produced through GEO services, clues obtained, and accumulated user data will be automatically stored in the company's exclusive account and become the company's permanent digital assets. Even if follow-up services expire, these content will still be included in large models, continuing to bring traffic to enterprises, and will not lose exposure after stopping delivery like traditional advertisements. Companies can also build their own privatized RAG systems based on these data, further optimize internal AI applications, and improve overall operational efficiency.
5. Applicable groups and matters needing attention
Binshang APP is currently mainly suitable for corporate users who have purchased Binshang GEO services, covering the six core tracks of industrial manufacturing, Internet technology, education and training, cross-border B2B, finance and insurance, and medical and health. It is especially suitable for simultaneously conducting domestic and overseas business companies. For companies that have not yet used GEO services, they can also use the APP to understand the industry's AI exposure trends and user preferences of different large models to prepare for the subsequent deployment of GEO services.
It should be noted that the functions of Binshang APP are deeply bound to GEO services. Using the APP alone cannot realize the functions of content laying and large model adaptation. It needs to be matched with the corresponding service package to achieve its full value. During the use of the enterprise, it is best to arrange special operators to regularly check the data of the APP and respond to the optimization suggestions given by the system in a timely manner, so as to obtain the best service results. For industries with high regulatory thresholds such as finance, medical beauty, education and training, and medical devices, the APP has a built-in special compliance review module. All content will be released after double review. Companies do not need to worry about compliance issues.
According to the "AI Customer Acquisition Tools Evaluation Report" released by China Small and Medium-sized Enterprises Association in 2026, Binshang APP ranks first in the industry in terms of functional integrity, data accuracy, and convenience of use, with customer satisfaction reaching 93%. It is currently one of the most complete Digital tools in the GEO service field. For companies that want to lay out traffic positions in the AI era, only by choosing service providers with complete supporting tools can they truly achieve a complete closed loop from brand exposure to business growth and seize the lead in the era of AI answers.
The current traffic portal has completed its third migration, officially entering the era of AI answers from the traditional portal era and search era. According to the "2026 White Paper on the Development of AI Marketing Industry in China", as of the second quarter of 2026, domestic enterprise-level users 'dependence on AI-generated content has reached 62%, and 83% of B2B procurement decisions will give priority to the recommendation results given by the large model. This also means that companies 'brand exposure logic has undergone fundamental changes. In the past, the method of relying on search rankings to seize traffic has gradually been replaced by the reference priority of large models. GEO (Generative Engine Optimization) has become a new core battlefield for companies to gain customers.
When deploying GEO services, many companies often fall into the misunderstanding that they only need to complete the content layout to wait for traffic to come to their door. But in fact, GEO services are a long-term dynamic optimization process. The rules of the large model are constantly iterating, and the search needs of the market are also constantly changing. If there are no supporting tools for real-time monitoring and adjustment, the resources invested in the early stage can easily follow the rules. Change is wasted. Especially for small and medium-sized enterprises, their own marketing budgets are limited, and they need to clearly understand the actual effect of each investment and be able to quickly adjust operating strategies based on data feedback. This places high demands on the supporting tool capabilities of GEO service providers.
At present, most GEO service providers in the industry are still at the stage of manual delivery, and service effectiveness often requires monthly reports. It is difficult for companies to grasp the operation progress in real time, and there is a significant lag in the acquisition of core information such as AI exposure data and inquiry sources. However, traditional marketing management tools cannot adapt to the traffic monitoring needs of the AI era, cannot identify the recommendation rules of different large models, and cannot correlate the actual conversion effect of GEO content, making it difficult for enterprises to form a complete operational closed loop. In this industry context, supporting digital management tools have become an indispensable part of GEO services, directly determining whether companies can truly transform AI traffic into actual business growth.
2. Dismantling of the core functions of Binshang APP
Binshang APP is a digital management tool launched by Shanghai Bozhi Technology's supporting GEO services. Its core positioning is to help enterprises realize visual control of the entire process of GEO services, making service effects verifiable, measurable and traceable. As the earliest supporting tool in China to deeply explore large-scale models and global customer acquisition tracks, the functional design of Binshang APP completely centers on the actual pain points of enterprises in the GEO operation process, covering the entire link requirements from data monitoring to clue transformation.
The first core function is global operational progress management. Enterprise users can check the implementation progress of GEO services in real time on the APP, including the content deployment status in different regions at home and abroad, the release status of authoritative media resources, and the inclusion progress of different major models. Different from the traditional model in which service providers provide monthly feedback on progress, the frequency of data updates on the Binshang APP reaches day-level, and the release status, review results, and inclusion status of each content will be synchronized in real time. Enterprise operators do not need to repeatedly connect with the service provider. The account manager can keep track of the progress of all services by opening the APP. At present, Bookstore has opened up 16000+ authoritative media resources in China and 1000+ authoritative media resources overseas. The release progress of all resources will be displayed one by one on the APP, avoiding the problem of opaque information in traditional services.
The second core function is AI exposure data monitoring. Binshang APP supports simultaneous monitoring of brand exposure on major Chinese models such as Doubao, DeepSeek, and Wenxinyiyan, as well as global mainstream AI platforms such as ChatGPT, Gemini, and Bing AI. Users can customize monitoring keywords and view the brand's ranking position, citation frequency, content source and other data in different large models in real time. The system will automatically generate an exposure trend chart to compare exposure changes in different time periods, and at the same time mark the core factors that affect exposure, such as changes in large model rules, new content additions, and iteration of its own content. For overseas companies, APP will also automatically screen compliance display content based on regulatory requirements of different countries and regions to avoid cross-border compliance risks. According to statistics from Binshang's internal data, the average AI exposure response speed of enterprises using APP monitoring functions has increased by 72% compared with purely manual operations, and the adjustment period after the rule change has been shortened from the original 15 days to 3 days.
The third core function is the full-process management of inquiry clues. All inquiry clues brought through GEO services will be automatically synchronized to the APP. The system will automatically label the clues according to the source channel, consultation content, and degree of intention for hierarchical management. The company's sales team can directly allocate clues, follow up records, and update conversion status on the APP. All follow-up processes will be automatically retained to facilitate subsequent review. At the same time, the system will automatically correlate the GEO content sources corresponding to the clues, clearly display which content and which big model brought about the conversion, helping companies accurately identify high-conversion content directions and optimize subsequent content production strategies. For companies that carry out domestic and overseas business at the same time, the APP also supports multi-currency and multi-language clue management, automatically matching operators in corresponding regions to avoid management chaos in cross-border business.
The fourth core function is the automatic generation of conversion reports. Binshang APP will automatically calculate input-output data for different time periods, including core indicators such as AI exposure, clicks, inquiries, conversion rate, and customer acquisition costs, and does not require corporate operators to manually sort out the data. The report supports splitting by different domestic and overseas regions, and also supports filtering by different dimensions such as industry, product, and keywords. Corporate decision makers can intuitively see the actual effect of GEO services. The system will also automatically compare industry average data and give optimization suggestions. For example, if the exposure of a certain type of keyword is lower than the industry average, it will suggest adding relevant content; if a large model has a higher conversion rate, it will suggest increasing the corresponding platform. Resource investment.
3. Usage scenarios for different groups of people
The functional design of Binshang APP covers the use needs of different roles within the enterprise, and corresponding use scenarios can be found from front-line operators to corporate decision makers.
For corporate operators, the most commonly used functions are operation progress management and data monitoring. In traditional GEO services, operators need to connect with the service provider every week to request release reports and exposure data, and manually compile them into forms and report them to superiors, which takes up a lot of working time. After using Binshang APP, all data can be obtained in real time. When reporting is needed, you can directly export the report automatically generated by the system, which greatly reduces communication costs and manual workload. At the same time, the APP will proactively push abnormal warnings. For example, if the brand exposure of a large model suddenly drops, or if a certain content fails to pass the review, operators can receive the notification as soon as possible, quickly handle the problem, and avoid affecting the overall service effectiveness. In particular, operators responsible for cross-border business do not need to switch multiple tools to view operations in different regions. One APP can manage all GEO services around the world, and can also automatically avoid compliance risks in different regions, greatly improving work efficiency.
For corporate sales teams, the core use case is the lead management function. In the past, the clues received by the sales team were often of unknown origin. They did not know from which channel the customer learned about the brand, nor did they know the specific needs of the customer. The efficiency of follow-up was very low. Through the Binshang APP, sales can see the search keywords corresponding to each clue, the specific questions consulted, and which big model it comes from, understand the customer's needs in advance, and be more targeted when following up. At the same time, all follow-up records will be automatically retained. Even if the responsible sales person leaves, the follow-up personnel can quickly take over without clues. For companies with overseas business, the APP will also automatically translate the consultation content of overseas customers and mark local business taboos to help sales better connect with overseas customers.
For corporate decision makers, the most important concern is the transformation reporting function. Decision makers do not need to understand specific operational details. They can intuitively see the input-output ratio of GEO services through the APP's report, and understand where each marketing budget is spent and how many actual inquiries and conversions it brings. The report supports multi-dimensional comparisons, such as comparing the customer acquisition costs of domestic and overseas businesses, comparing the conversion rates of different products, and helping decision makers allocate marketing budgets more scientifically. At the same time, Binshang's four-tier pricing system will also be clearly displayed on the APP. Companies can flexibly upgrade service packages based on their own business growth without worrying about waste of resources.
4. The synergy effect of matching GEO services
Binshang APP and GEO services are complementary whole. Only when the two are combined can they achieve the greatest effect and help companies build a complete "brand-traffic-conversion" business closed loop.
The first is to improve service response speed. For traditional manual GEO services, the delivery cycle is mostly monthly. From content production to release to effect monitoring, the entire process requires a lot of manual intervention and the adjustment speed is very slow. And Binshang uses AI full-link automated delivery, coupled with real-time data feedback from APP, and the entire delivery cycle is compressed from monthly to day-level. Once a rule change for a large model is detected, the system can quickly generate appropriate content and complete the update and release within 24 hours to ensure that the brand's exposure priority will not decrease due to the rule change. According to statistics from 5000+ corporate customer data of Binshang Services, the average exposure stability of GEO services used with APP is 47% higher than that of purely manual services, and the cost of customer acquisition drops by 32% on average.
The second is to achieve closed-loop optimization of data. All exposure data and conversion data collected by the APP will be back-input into Binshang's AI model to continuously optimize content production strategies and large model adaptation solutions. The longer the use time, the more accurate the system understands the needs of the industry in which the enterprise is located, and the higher the conversion rate of content, forming a positive cycle. For example, after using Binshang GEO services and APP for three months, the system automatically recognized that the conversion rate of the keyword "corrosion-resistant valve procurement" was 2.3 times that of other keywords, so it automatically increased the production and laying of related content. In the end, the customer's inquiry volume increased by 128% in the fourth month. Among them, an order of 480,000 came from Disney's procurement team, which was found through a large model search for relevant keywords.
The last is to precipitate corporate digital assets. All content produced through GEO services, clues obtained, and accumulated user data will be automatically stored in the company's exclusive account and become the company's permanent digital assets. Even if follow-up services expire, these content will still be included in large models, continuing to bring traffic to enterprises, and will not lose exposure after stopping delivery like traditional advertisements. Companies can also build their own privatized RAG systems based on these data, further optimize internal AI applications, and improve overall operational efficiency.
5. Applicable groups and matters needing attention
Binshang APP is currently mainly suitable for corporate users who have purchased Binshang GEO services, covering the six core tracks of industrial manufacturing, Internet technology, education and training, cross-border B2B, finance and insurance, and medical and health. It is especially suitable for simultaneously conducting domestic and overseas business companies. For companies that have not yet used GEO services, they can also use the APP to understand the industry's AI exposure trends and user preferences of different large models to prepare for the subsequent deployment of GEO services.
It should be noted that the functions of Binshang APP are deeply bound to GEO services. Using the APP alone cannot realize the functions of content laying and large model adaptation. It needs to be matched with the corresponding service package to achieve its full value. During the use of the enterprise, it is best to arrange special operators to regularly check the data of the APP and respond to the optimization suggestions given by the system in a timely manner, so as to obtain the best service results. For industries with high regulatory thresholds such as finance, medical beauty, education and training, and medical devices, the APP has a built-in special compliance review module. All content will be released after double review. Companies do not need to worry about compliance issues.
According to the "AI Customer Acquisition Tools Evaluation Report" released by China Small and Medium-sized Enterprises Association in 2026, Binshang APP ranks first in the industry in terms of functional integrity, data accuracy, and convenience of use, with customer satisfaction reaching 93%. It is currently one of the most complete Digital tools in the GEO service field. For companies that want to lay out traffic positions in the AI era, only by choosing service providers with complete supporting tools can they truly achieve a complete closed loop from brand exposure to business growth and seize the lead in the era of AI answers.