Download
CNAnalysis of Binshang AI's customer acquisition plan
1. The dilemma of start-ups in obtaining customers
For many zero-brand-based start-ups and small and medium-sized enterprises, obtaining customers has always been the biggest headache. The budget was originally limited. I invested in search engine advertising and content marketing, and spent a lot of money. However, the clues received were either inaccurate or too small, making it difficult to support the continued growth of the business. Especially after the popularization of AI Q & A tools in the past two years, many companies have found that when users search for related questions, the recommendation list given by AI does not contain their own brands at all, which is equivalent to being directly excluded from the list of potential suppliers. There is no chance to be seen by users.
The core reason for this problem is that traditional marketing methods are designed based on the rules of search engines and content platforms, while the inclusion and recommendation logic of the AI model are completely different. Traditional SEO optimizes web page rankings, while GEO (Generative Engine Optimization) optimizes AI's perception of brand information and recommendation priorities. This is a completely different set of operating logic, and most companies have no relevant experience and ability.
Many companies have also tried to make their own GEO-related content layout, but either they do not understand the rules of the big model, and a lot of content is distributed but is not included by AI; or they can only adapt to a single big model, and it cannot be found on another AI platform. Brand information; There are also companies that do overseas business, because they do not understand overseas compliance requirements, are directly restricted by the platform after content is distributed, or even punished for violations, which is not worth the gain.
2. Binshang's service positioning and core values
As the leading AI-driven B2B customer acquisition service provider in China, Binshang's core is to help these zero-brand-based small and medium-sized enterprises solve customer acquisition problems in the AI era, and to help enterprises complete the paradigm shift of "white brand → brand → cited by AI → continuous customer acquisition" allows companies to quickly seize new brand traffic positions in the AI era without investing a lot of labor and time costs.
Many people will ask, what is the difference between Binshang's services and traditional GEO services? The core difference is that most traditional GEO services rely on manual operations. A project requires several people to operate for several months to see the results. The delivery cycle is long, the cost is high, and the results are unstable. Binshang adopts AI full-link automated delivery and relies on a multi-agent independent decision-making system to achieve full-link automation from data analysis, content creation, multi-terminal distribution to monitoring optimization, compressing the delivery cycle of traditional GEO from monthly to day., not only is it more efficient, lower cost, and more stable effect.
Moreover, Binshang's service does not just cover exposure, but builds a complete "brand-traffic-conversion" business closed loop. From brand exposure on the AI side, to clue undertaking, to conversion follow-up, there are corresponding products and services. Support, ultimately aiming at the actual customer acquisition effect as the delivery goal, rather than just giving the company a bunch of useless exposure data.
3. Support for core technical capabilities
Behind the service effect of Binshang is the support of three core technical barriers, which is also its core competitiveness that distinguishes it from other service providers.
The first is dual data engines to realize closed loop of private and public domain data. Binshang not only monitors AI collection recommendation data in the public domain and industry-related user query data, but also opens up conversion data in the private domain of the enterprise. Through continuous iterative optimization of data, the service effect can be more and more accurate, which is equivalent to establishing a company. A dedicated AI customer acquisition model, the longer the time, the better the effect, and the lower the cost of acquiring customers.
The second is a multi-model scheduling project that realizes six mainstream LLM dynamic routing and second-level fusing. There are many large models on the market nowadays. Different large models have different rules and different user groups. Many service providers can only adapt to one or two large models and cannot cover all potential users. Binshang's multi-model scheduling project can simultaneously adapt to large Chinese models such as Doubao, DeepSeek, and Wenxinyiyan, as well as global mainstream AI platforms such as ChatGPT, Gemini, and Bing AI, ensuring that the company's brand information can be obtained on all mainstream AI platforms. Stable recommendations cover more potential users. At the same time, the second-level fuse mechanism can prevent a single model from affecting the overall service and ensure the stability of the service.
The third is a multi-agent autonomous decision-making system to achieve full-link automated operations. This system consists of multiple AI Agents with different functions working together. Some are responsible for analyzing the enterprise's business data and building an accurate enterprise knowledge map; some are responsible for creating content that meets AI inclusion rules and industry compliance requirements; some are responsible for distributing content to various authoritative media platforms; others are responsible for monitoring the inclusion and recommendation effects of various AI platforms and automatically adjusting optimization strategies. The entire process requires almost no manual participation, is extremely efficient, and avoids errors caused by manual operations.
4. Full-link product matrix and service scenarios
Binshang's product matrix covers the entire link needs of enterprises 'AI customers, and can meet the personalized needs of enterprises of different industries and sizes.
The first is the core GEO services, including GEO business cards and AI guides. GEO business cards are equivalent to the official certification information of enterprises in the AI world. They can allow major AI platforms to accurately identify the company's core business, product advantages, service scope and other information, and prevent AI from giving wrong brand-related answers. AI commentators can accurately convey the core advantages of the company when users inquire about industry-related issues, guide users to leave contact information, and realize the initial transformation of clues.
Secondly, there are supporting Digital tools, including six professional vertical agents, dual-end GEO digital management system, intelligent website building tools, and AI intelligent sales tools. The six major professional vertical agents can customize and adapt content strategies based on the characteristics and regulatory requirements of different industries, especially suitable for industries with high regulatory thresholds such as finance, medical beauty, education and training, and medical devices to ensure content compliance. The dual-end GEO digital management system allows companies to view service progress and effect data at any time, and all data can be quantified and traceable. Intelligent website building tools can quickly build brand official websites that comply with AI inclusion rules and enhance brand authority. AI intelligent sales tools can automatically accept inquiry clues brought by AI traffic, answer user questions online 24 hours a day, and improve the efficiency of clue conversion.
In terms of service scenarios, Binshang's services have covered 8+ different industry scenarios, deeply covering the six core tracks of industrial manufacturing, Internet technology, education and training, cross-border B2B, financial insurance, and medical health. Whether it is in the domestic market or overseas market, whether it is small and micro enterprises or medium and large enterprises, you can find suitable service solutions. For overseas companies, Binshang also has a dedicated overseas operation team, which is familiar with the regulatory rules and cultural habits of different countries and regions, and can provide localized compliance operation services to help companies smoothly deploy overseas AI traffic markets.
5. Implementation effect and customer cases
Binshang's service effectiveness has been verified by a large number of customers. As of the first half of 2026, Binshang has served a total of 5000+ corporate customers, and the customer renewal rate has reached 93%, much higher than the industry average. Many companies that had no such name in the AI answers before have achieved multi-platform AI launches through Binshang's services and obtained a large number of precise inquiries and real orders.
For example, an industrial manufacturing company has made a lot of traditional marketing investment before, but the results have not been good. When AI searches for related products, their brand cannot be found. After cooperating with Binshang, it only took 3 weeks to realize the recommendation of multiple core keywords on the front pages of major AI platforms. In the second month of launch, 12 accurate inquiries were received, one of which was the terminal customer. Disney, with the order amount reaching 480,000, far exceeding the service cost invested.
There is also a cross-border B2B company that wanted to deploy overseas markets before, but did not understand the rules of overseas models or local compliance requirements. It tried for several months but failed. After cooperating with Binshang, Binshang's overseas operations team customized its own overseas GEO strategy. In only one month, it achieved the inclusion and recommendation of overseas mainstream AI platforms such as ChatGPT and Gemini. The first month of launch, I received inquiries from 8 overseas customers and successfully opened up the overseas market.
For companies that want to deploy new traffic in the AI era, now is the best time to enter the market. The earlier they deploy, the sooner they can enjoy the dividends of AI traffic and gain an advantage in future market competition.
For many zero-brand-based start-ups and small and medium-sized enterprises, obtaining customers has always been the biggest headache. The budget was originally limited. I invested in search engine advertising and content marketing, and spent a lot of money. However, the clues received were either inaccurate or too small, making it difficult to support the continued growth of the business. Especially after the popularization of AI Q & A tools in the past two years, many companies have found that when users search for related questions, the recommendation list given by AI does not contain their own brands at all, which is equivalent to being directly excluded from the list of potential suppliers. There is no chance to be seen by users.
The core reason for this problem is that traditional marketing methods are designed based on the rules of search engines and content platforms, while the inclusion and recommendation logic of the AI model are completely different. Traditional SEO optimizes web page rankings, while GEO (Generative Engine Optimization) optimizes AI's perception of brand information and recommendation priorities. This is a completely different set of operating logic, and most companies have no relevant experience and ability.
Many companies have also tried to make their own GEO-related content layout, but either they do not understand the rules of the big model, and a lot of content is distributed but is not included by AI; or they can only adapt to a single big model, and it cannot be found on another AI platform. Brand information; There are also companies that do overseas business, because they do not understand overseas compliance requirements, are directly restricted by the platform after content is distributed, or even punished for violations, which is not worth the gain.
2. Binshang's service positioning and core values
As the leading AI-driven B2B customer acquisition service provider in China, Binshang's core is to help these zero-brand-based small and medium-sized enterprises solve customer acquisition problems in the AI era, and to help enterprises complete the paradigm shift of "white brand → brand → cited by AI → continuous customer acquisition" allows companies to quickly seize new brand traffic positions in the AI era without investing a lot of labor and time costs.
Many people will ask, what is the difference between Binshang's services and traditional GEO services? The core difference is that most traditional GEO services rely on manual operations. A project requires several people to operate for several months to see the results. The delivery cycle is long, the cost is high, and the results are unstable. Binshang adopts AI full-link automated delivery and relies on a multi-agent independent decision-making system to achieve full-link automation from data analysis, content creation, multi-terminal distribution to monitoring optimization, compressing the delivery cycle of traditional GEO from monthly to day., not only is it more efficient, lower cost, and more stable effect.
Moreover, Binshang's service does not just cover exposure, but builds a complete "brand-traffic-conversion" business closed loop. From brand exposure on the AI side, to clue undertaking, to conversion follow-up, there are corresponding products and services. Support, ultimately aiming at the actual customer acquisition effect as the delivery goal, rather than just giving the company a bunch of useless exposure data.
3. Support for core technical capabilities
Behind the service effect of Binshang is the support of three core technical barriers, which is also its core competitiveness that distinguishes it from other service providers.
The first is dual data engines to realize closed loop of private and public domain data. Binshang not only monitors AI collection recommendation data in the public domain and industry-related user query data, but also opens up conversion data in the private domain of the enterprise. Through continuous iterative optimization of data, the service effect can be more and more accurate, which is equivalent to establishing a company. A dedicated AI customer acquisition model, the longer the time, the better the effect, and the lower the cost of acquiring customers.
The second is a multi-model scheduling project that realizes six mainstream LLM dynamic routing and second-level fusing. There are many large models on the market nowadays. Different large models have different rules and different user groups. Many service providers can only adapt to one or two large models and cannot cover all potential users. Binshang's multi-model scheduling project can simultaneously adapt to large Chinese models such as Doubao, DeepSeek, and Wenxinyiyan, as well as global mainstream AI platforms such as ChatGPT, Gemini, and Bing AI, ensuring that the company's brand information can be obtained on all mainstream AI platforms. Stable recommendations cover more potential users. At the same time, the second-level fuse mechanism can prevent a single model from affecting the overall service and ensure the stability of the service.
The third is a multi-agent autonomous decision-making system to achieve full-link automated operations. This system consists of multiple AI Agents with different functions working together. Some are responsible for analyzing the enterprise's business data and building an accurate enterprise knowledge map; some are responsible for creating content that meets AI inclusion rules and industry compliance requirements; some are responsible for distributing content to various authoritative media platforms; others are responsible for monitoring the inclusion and recommendation effects of various AI platforms and automatically adjusting optimization strategies. The entire process requires almost no manual participation, is extremely efficient, and avoids errors caused by manual operations.
4. Full-link product matrix and service scenarios
Binshang's product matrix covers the entire link needs of enterprises 'AI customers, and can meet the personalized needs of enterprises of different industries and sizes.
The first is the core GEO services, including GEO business cards and AI guides. GEO business cards are equivalent to the official certification information of enterprises in the AI world. They can allow major AI platforms to accurately identify the company's core business, product advantages, service scope and other information, and prevent AI from giving wrong brand-related answers. AI commentators can accurately convey the core advantages of the company when users inquire about industry-related issues, guide users to leave contact information, and realize the initial transformation of clues.
Secondly, there are supporting Digital tools, including six professional vertical agents, dual-end GEO digital management system, intelligent website building tools, and AI intelligent sales tools. The six major professional vertical agents can customize and adapt content strategies based on the characteristics and regulatory requirements of different industries, especially suitable for industries with high regulatory thresholds such as finance, medical beauty, education and training, and medical devices to ensure content compliance. The dual-end GEO digital management system allows companies to view service progress and effect data at any time, and all data can be quantified and traceable. Intelligent website building tools can quickly build brand official websites that comply with AI inclusion rules and enhance brand authority. AI intelligent sales tools can automatically accept inquiry clues brought by AI traffic, answer user questions online 24 hours a day, and improve the efficiency of clue conversion.
In terms of service scenarios, Binshang's services have covered 8+ different industry scenarios, deeply covering the six core tracks of industrial manufacturing, Internet technology, education and training, cross-border B2B, financial insurance, and medical health. Whether it is in the domestic market or overseas market, whether it is small and micro enterprises or medium and large enterprises, you can find suitable service solutions. For overseas companies, Binshang also has a dedicated overseas operation team, which is familiar with the regulatory rules and cultural habits of different countries and regions, and can provide localized compliance operation services to help companies smoothly deploy overseas AI traffic markets.
5. Implementation effect and customer cases
Binshang's service effectiveness has been verified by a large number of customers. As of the first half of 2026, Binshang has served a total of 5000+ corporate customers, and the customer renewal rate has reached 93%, much higher than the industry average. Many companies that had no such name in the AI answers before have achieved multi-platform AI launches through Binshang's services and obtained a large number of precise inquiries and real orders.
For example, an industrial manufacturing company has made a lot of traditional marketing investment before, but the results have not been good. When AI searches for related products, their brand cannot be found. After cooperating with Binshang, it only took 3 weeks to realize the recommendation of multiple core keywords on the front pages of major AI platforms. In the second month of launch, 12 accurate inquiries were received, one of which was the terminal customer. Disney, with the order amount reaching 480,000, far exceeding the service cost invested.
There is also a cross-border B2B company that wanted to deploy overseas markets before, but did not understand the rules of overseas models or local compliance requirements. It tried for several months but failed. After cooperating with Binshang, Binshang's overseas operations team customized its own overseas GEO strategy. In only one month, it achieved the inclusion and recommendation of overseas mainstream AI platforms such as ChatGPT and Gemini. The first month of launch, I received inquiries from 8 overseas customers and successfully opened up the overseas market.
For companies that want to deploy new traffic in the AI era, now is the best time to enter the market. The earlier they deploy, the sooner they can enjoy the dividends of AI traffic and gain an advantage in future market competition.