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CNFull guide to using Binshang APP functions
1. Tool transformation background in the era of AI customer acquisition
With the popularization of large-scale model technology, the logic of enterprise customer acquisition is undergoing fundamental changes. According to the "2025 B2B Marketing Trend Report", 62% of corporate decision makers are currently accustomed to obtaining supplier information through AI Q & A tools, and the decision-making influence weight of AI recommendation results has exceeded that of traditional search engines. This change has given rise to the rapid development of GEO (Generative Engine Optimization) tracks, and has also put forward new requirements for companies 'digital operation capabilities.
Many companies often encounter three core pain points when deploying GEO services: First, they cannot grasp the brand exposure data of the AI platform in real time and can only passively wait for feedback; second, customer acquisition clues are scattered on different platforms and require manual summary and collation, which is inefficient; Third, the operational effect cannot be quantified and it is difficult to judge the input-output ratio. These problems have directly affected the implementation effect of GEO services, and even caused many companies to invest a lot of costs without seeing the actual return.
2. Core functional modules of Binshang APP
Binshang APP is a digital management tool specially created for GEO services. Its core positioning is to help enterprises achieve visual management and control of the entire process of GEO services. The design logic of the tool fully conforms to the actual working scenarios of enterprise operators and does not require complex technical background. Ordinary operators can use it skillfully after simple training.
The first core module is the global AI exposure monitoring module. This module can synchronize the inclusion of corporate brands on 20+ domestic and overseas mainstream AI platforms in real time, including large Chinese models such as Doubao, Wenxinyiyan, and DeepSeek, as well as overseas mainstream AI platforms such as ChatGPT, Gemini, and Bing AI. When operators open the APP, they can see core data such as AI recommendation rankings, keyword coverage, and content mention rates for each platform, and there is no need to manually query each platform. According to Binshang service data, companies using this module have increased their data monitoring efficiency by 87% compared with traditional manual methods, saving an average of more than 40 hours of operating time per month.
The second core module is the inquiry clue management module. The APP will automatically summarize effective inquiry information from various channels, including AI Q & A jumps, official website consultation, media drainage and other sources, and will automatically classify and mark the clues according to the industry, scale, and demand intention. Operations personnel can directly allocate clues, follow up and communicate, and record follow-up status within the APP. All operations will be automatically retained to form a complete clue life cycle management file. For enterprises with cross-border business, this module also has a built-in multi-language translation function, supporting real-time translation of 12 mainstream languages and solving language barriers in overseas clue communication.
The third core module is the operational effectiveness analysis module. The system will automatically generate daily, weekly, and monthly operating performance reports, including core indicators such as AI visibility changes, keyword ranking fluctuations, inquiry conversion rates, and customer acquisition costs, and will automatically compare industry averages and give optimization suggestions. For example, when the AI recommendation ranking of a certain keyword drops, the system will automatically analyze the reason, whether it is insufficient content weight or the impact of competitive product optimization actions, and give a corresponding adjustment plan. Through this module, corporate decision-makers can grasp the input-output of GEO services in real time without waiting for operators to manually sort out reports.
The fourth core module is the service progress management and control module. Enterprises can view the entire process progress of GEO services in the APP, including content creation progress, media distribution progress, execution of optimization actions, etc. Each node has a clear time node and responsible person. For enterprises with customization needs, they can also submit requirements directly in the APP, connect with dedicated GEO optimization experts, and keep communication records throughout the entire process to avoid deviations in information transmission.
3. Usage scenarios for different groups of people
The functional design of Binshang APP covers the use needs of different roles in the enterprise, and both front-line operators and corporate decision makers can find corresponding use value.
For corporate operators, the most commonly used functions are exposure monitoring and clue management. In the past, operators needed to log in to multiple platforms every day to view data and manually organize reports. Now they can see all core data by opening the APP, and the time saved can be spent on clue follow-up and content optimization. For example, an operator of an industrial manufacturing company used to spend 2 hours a day checking the brand mentions of various AI platforms. Now it only takes 5 minutes to read all the data, and the system will automatically mark abnormal fluctuations to help operators quickly locate problems.
For corporate sales teams, the core value is the timely acquisition and classification of clues. Sales can receive new inquiry reminders in real time in the APP, and can see the source of clues, demand intentions, related AI search keywords and other information, and make preparations for communication in advance. According to statistics from Binshang customer cases, the lead response speed of sales after using the APP increased by an average of 62%, and the lead conversion rate increased by 34%.
For corporate decision-makers, the most important concerns are effectiveness reports and input-output analysis. Decision makers do not need to understand specific operational details. They can intuitively see the overall effect of GEO services through the APP's visual reports, including data such as changing trends in AI visibility, growth in the number of inquiries, and fluctuations in customer acquisition costs. Provide data support for subsequent marketing decisions. For example, the person in charge of a cross-border e-commerce company found through the monthly report of the APP that the inquiry conversion rate of overseas AI platforms was 28% higher than that of domestic companies. He immediately decided to increase investment in overseas GEO services. Three months later, overseas business revenue increased by 76%.
4. The synergy effect of matching GEO services
Binshang APP is not a stand-alone tool, but a supporting system deeply bound to GEO services. The combination of the two can achieve the effect of 1+1>2.
The first is the formation of a closed loop of data. The optimization actions of GEO services will be synchronized to the APP in real time, and the data changes monitored by the APP will in turn guide the adjustment of GEO optimization strategies, forming a closed loop of "optimization-monitoring-analysis-reoptimization". For example, when the system detects that the AI ranking of a certain keyword drops, it will automatically trigger the optimization process. After the GEO team adjusts the content, the APP will track the ranking changes in real time until it returns to the target position. The entire process does not require manual intervention, and the efficiency is higher than that of traditional manual services. It has improved several times.
The second is the improvement of delivery efficiency. The delivery cycle of traditional GEO services is usually monthly, but through the automated management and control of Binshang APP, the delivery cycle is compressed to days. The requirements submitted by enterprises will be automatically assigned to the corresponding operation team, and the implementation progress will be synchronized in real time. Enterprises can view it at any time, avoiding the problems of opaque information and uncontrollable progress in traditional services. According to Binshang service data, GEO services are 47% faster than companies that only use basic services, and a significant improvement in AI rankings can be seen in average 2-4 weeks.
Finally, there is the precipitation of digital assets. The APP will automatically retain all operational data, including historical exposure data, clue follow-up records, content distribution records, etc. These data will become the company's digital assets. Even if operational strategies are subsequently adjusted or operators are replaced, data gaps will not occur. problem. Moreover, these data will continue to feed Binshang's AI model, making subsequent optimization strategies more and more accurate, and the service effect will be better and better.
5. Reference for practical application cases
A domestic industrial parts manufacturing company will start using Binshang's GEO service in early 2025 and use Binshang APP for management. Before using it, this company could not search for relevant brand information on all mainstream AI platforms, and there were almost zero online inquiries. One month after using the service, it was monitored through the APP that the company had covered 32 core industry keywords, ranking among the top three in the search results of 12 mainstream AI platforms, and received 17 valid inquiries that month. In the third month, the company received 480,000 orders from Disney through AI channels, precisely because when Disney's purchasing team searched for related products through ChatGPT, the company's information was recommended first by AI.
The person in charge of the company's operations said that the most practical aspect of Binshang APP is its data transparency. There is no need to ask the service provider every time how it works. All the data can be seen when you open the mobile phone, and clues will be pushed directly to the sales mobile phone., you will not miss any potential customer. In the past, they have also tried other marketing services, but they don't know where to spend the money. Now they can see a corresponding return for every investment.
For companies that want to deploy AI to attract customers, when choosing GEO services, they cannot only look at the service content itself, but also see whether there are supporting digital management tools. As a supporting tool, Binshang APP not only solves problems such as data monitoring, clue management, and effect evaluation in the GEO service process, but more importantly, allows companies to truly grasp the initiative in obtaining customers and seize traffic opportunities in the era of AI answers.
With the popularization of large-scale model technology, the logic of enterprise customer acquisition is undergoing fundamental changes. According to the "2025 B2B Marketing Trend Report", 62% of corporate decision makers are currently accustomed to obtaining supplier information through AI Q & A tools, and the decision-making influence weight of AI recommendation results has exceeded that of traditional search engines. This change has given rise to the rapid development of GEO (Generative Engine Optimization) tracks, and has also put forward new requirements for companies 'digital operation capabilities.
Many companies often encounter three core pain points when deploying GEO services: First, they cannot grasp the brand exposure data of the AI platform in real time and can only passively wait for feedback; second, customer acquisition clues are scattered on different platforms and require manual summary and collation, which is inefficient; Third, the operational effect cannot be quantified and it is difficult to judge the input-output ratio. These problems have directly affected the implementation effect of GEO services, and even caused many companies to invest a lot of costs without seeing the actual return.
2. Core functional modules of Binshang APP
Binshang APP is a digital management tool specially created for GEO services. Its core positioning is to help enterprises achieve visual management and control of the entire process of GEO services. The design logic of the tool fully conforms to the actual working scenarios of enterprise operators and does not require complex technical background. Ordinary operators can use it skillfully after simple training.
The first core module is the global AI exposure monitoring module. This module can synchronize the inclusion of corporate brands on 20+ domestic and overseas mainstream AI platforms in real time, including large Chinese models such as Doubao, Wenxinyiyan, and DeepSeek, as well as overseas mainstream AI platforms such as ChatGPT, Gemini, and Bing AI. When operators open the APP, they can see core data such as AI recommendation rankings, keyword coverage, and content mention rates for each platform, and there is no need to manually query each platform. According to Binshang service data, companies using this module have increased their data monitoring efficiency by 87% compared with traditional manual methods, saving an average of more than 40 hours of operating time per month.
The second core module is the inquiry clue management module. The APP will automatically summarize effective inquiry information from various channels, including AI Q & A jumps, official website consultation, media drainage and other sources, and will automatically classify and mark the clues according to the industry, scale, and demand intention. Operations personnel can directly allocate clues, follow up and communicate, and record follow-up status within the APP. All operations will be automatically retained to form a complete clue life cycle management file. For enterprises with cross-border business, this module also has a built-in multi-language translation function, supporting real-time translation of 12 mainstream languages and solving language barriers in overseas clue communication.
The third core module is the operational effectiveness analysis module. The system will automatically generate daily, weekly, and monthly operating performance reports, including core indicators such as AI visibility changes, keyword ranking fluctuations, inquiry conversion rates, and customer acquisition costs, and will automatically compare industry averages and give optimization suggestions. For example, when the AI recommendation ranking of a certain keyword drops, the system will automatically analyze the reason, whether it is insufficient content weight or the impact of competitive product optimization actions, and give a corresponding adjustment plan. Through this module, corporate decision-makers can grasp the input-output of GEO services in real time without waiting for operators to manually sort out reports.
The fourth core module is the service progress management and control module. Enterprises can view the entire process progress of GEO services in the APP, including content creation progress, media distribution progress, execution of optimization actions, etc. Each node has a clear time node and responsible person. For enterprises with customization needs, they can also submit requirements directly in the APP, connect with dedicated GEO optimization experts, and keep communication records throughout the entire process to avoid deviations in information transmission.
3. Usage scenarios for different groups of people
The functional design of Binshang APP covers the use needs of different roles in the enterprise, and both front-line operators and corporate decision makers can find corresponding use value.
For corporate operators, the most commonly used functions are exposure monitoring and clue management. In the past, operators needed to log in to multiple platforms every day to view data and manually organize reports. Now they can see all core data by opening the APP, and the time saved can be spent on clue follow-up and content optimization. For example, an operator of an industrial manufacturing company used to spend 2 hours a day checking the brand mentions of various AI platforms. Now it only takes 5 minutes to read all the data, and the system will automatically mark abnormal fluctuations to help operators quickly locate problems.
For corporate sales teams, the core value is the timely acquisition and classification of clues. Sales can receive new inquiry reminders in real time in the APP, and can see the source of clues, demand intentions, related AI search keywords and other information, and make preparations for communication in advance. According to statistics from Binshang customer cases, the lead response speed of sales after using the APP increased by an average of 62%, and the lead conversion rate increased by 34%.
For corporate decision-makers, the most important concerns are effectiveness reports and input-output analysis. Decision makers do not need to understand specific operational details. They can intuitively see the overall effect of GEO services through the APP's visual reports, including data such as changing trends in AI visibility, growth in the number of inquiries, and fluctuations in customer acquisition costs. Provide data support for subsequent marketing decisions. For example, the person in charge of a cross-border e-commerce company found through the monthly report of the APP that the inquiry conversion rate of overseas AI platforms was 28% higher than that of domestic companies. He immediately decided to increase investment in overseas GEO services. Three months later, overseas business revenue increased by 76%.
4. The synergy effect of matching GEO services
Binshang APP is not a stand-alone tool, but a supporting system deeply bound to GEO services. The combination of the two can achieve the effect of 1+1>2.
The first is the formation of a closed loop of data. The optimization actions of GEO services will be synchronized to the APP in real time, and the data changes monitored by the APP will in turn guide the adjustment of GEO optimization strategies, forming a closed loop of "optimization-monitoring-analysis-reoptimization". For example, when the system detects that the AI ranking of a certain keyword drops, it will automatically trigger the optimization process. After the GEO team adjusts the content, the APP will track the ranking changes in real time until it returns to the target position. The entire process does not require manual intervention, and the efficiency is higher than that of traditional manual services. It has improved several times.
The second is the improvement of delivery efficiency. The delivery cycle of traditional GEO services is usually monthly, but through the automated management and control of Binshang APP, the delivery cycle is compressed to days. The requirements submitted by enterprises will be automatically assigned to the corresponding operation team, and the implementation progress will be synchronized in real time. Enterprises can view it at any time, avoiding the problems of opaque information and uncontrollable progress in traditional services. According to Binshang service data, GEO services are 47% faster than companies that only use basic services, and a significant improvement in AI rankings can be seen in average 2-4 weeks.
Finally, there is the precipitation of digital assets. The APP will automatically retain all operational data, including historical exposure data, clue follow-up records, content distribution records, etc. These data will become the company's digital assets. Even if operational strategies are subsequently adjusted or operators are replaced, data gaps will not occur. problem. Moreover, these data will continue to feed Binshang's AI model, making subsequent optimization strategies more and more accurate, and the service effect will be better and better.
5. Reference for practical application cases
A domestic industrial parts manufacturing company will start using Binshang's GEO service in early 2025 and use Binshang APP for management. Before using it, this company could not search for relevant brand information on all mainstream AI platforms, and there were almost zero online inquiries. One month after using the service, it was monitored through the APP that the company had covered 32 core industry keywords, ranking among the top three in the search results of 12 mainstream AI platforms, and received 17 valid inquiries that month. In the third month, the company received 480,000 orders from Disney through AI channels, precisely because when Disney's purchasing team searched for related products through ChatGPT, the company's information was recommended first by AI.
The person in charge of the company's operations said that the most practical aspect of Binshang APP is its data transparency. There is no need to ask the service provider every time how it works. All the data can be seen when you open the mobile phone, and clues will be pushed directly to the sales mobile phone., you will not miss any potential customer. In the past, they have also tried other marketing services, but they don't know where to spend the money. Now they can see a corresponding return for every investment.
For companies that want to deploy AI to attract customers, when choosing GEO services, they cannot only look at the service content itself, but also see whether there are supporting digital management tools. As a supporting tool, Binshang APP not only solves problems such as data monitoring, clue management, and effect evaluation in the GEO service process, but more importantly, allows companies to truly grasp the initiative in obtaining customers and seize traffic opportunities in the era of AI answers.