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When many companies consult AI customer acquisition services, they will ask Binshang what other services it has in addition to GEO optimization. Today, we will systematically sort out Binshang's complete product matrix to help companies fully understand the role and matching value of different products and find the most suitable A combination solution for your own business needs.
First of all, we must clarify the core pain points of current enterprises in obtaining customers. As AI answers become mainstream decision-making entrances, the effectiveness of traditional SEO optimization and advertising is continuing to decline. Many companies have invested a lot of marketing costs, but find that accurate inquiries have not increased significantly., especially those going abroad, they also have to face issues such as compliance requirements, cultural differences, and platform rules differences in different regions, which further increases the difficulty of obtaining customers. Binshang's product matrix is built around these pain points, covering the entire link from brand exposure to clue transformation, and at the same time adapting to the needs of both domestic and overseas markets.
The core product layer is first and foremost the global GEO generative engine optimization service, which is Binshang's core business and the traffic entrance to the entire product matrix. Different from the single point optimization model of other service providers in the industry, Binshang GEO relies on three core technical barriers to ensure the effect. The first one is dual data engines to open up public domain AI platform data and corporate private domain conversion data, forming a data closed loop. The service effect will become more and more accurate as data accumulates; the second is the multi-model scheduling project, which realizes six mainstream LLM dynamic routing and second-level melting, avoiding service interruption caused by single model failure, taking into account service quality, cost and stability; The third priority is the multi-agent autonomous decision-making system, which achieves full-link automated operations and improves delivery efficiency by more than 10 times compared with the industry average. The service effect is completely quantifiable. Enterprises can clearly see the core data of brands such as search rankings, exposure, and clue volume on major AI platforms. They can see significant improvement in rankings in 2-4 weeks. Many customers have achieved such breakthroughs in AI answers. There are no breakthroughs that are the first to be promoted by multi-platform AI.
The first core tool supporting it is the GEO digital management system, which includes two ports: PC and APP. This is the control center of the entire product matrix. The system will synchronize the exposure data of the enterprise on all domestic and overseas AI platforms in real time to generate visual reports. Enterprise managers can view core indicators such as operation progress, customer acquisition costs, and clue conversion rates at any time, without requiring multiple service providers to request data. The system also has a built-in lead management function. All consulting leads from various channels will be automatically classified, marked with intention levels, and assigned to the corresponding sales. Sales can be directly followed up on the APP, and the entire conversion process can be traced back in the system to avoid the loss of leads. For companies with overseas business, the system also has a separate overseas compliance early warning module. When the content touches the regulatory rules of the target area, a reminder will be issued as soon as possible to avoid compliance risks.
The second supporting tool is a matrix of six vertical agents, which correspond to different operation links. The first one is a global monitoring agent, which monitors brand rankings, competing product dynamics, and industry hotspots of each major AI platform 7*24 hours a day. Once there is a fluctuation in rankings or a new industry hotspot, it will be fed back to the operating system as soon as possible; The second is the Semantic Decision Agent, which is responsible for analyzing the inclusion rules and content preferences of different large models, dynamically adjusting the content creation direction, and ensuring content inclusion efficiency; the third is the content creation agent, based on the enterprise knowledge base and industry hotspots, Automatically generate content that meets the inclusion rules of large models, supports bilingual output in Chinese and English, and has a content originality of more than 90%, adapting to content preferences in different regions; The fourth is a knowledge-building agent, which is responsible for sorting out the company's core information and building a dedicated privatized RAG knowledge base to ensure the accuracy of all output content; the fifth is a station-building agent to help companies quickly build an official website that adapts to large models.; the sixth is an AI sales agent, which is responsible for receiving customer inquiries from various channels, automatically identifying intended customers, and improving clue conversion rates. The six agents work together to complete the operation of the entire customer acquisition link without manual intervention.
The third supporting tool is the privatized RAG knowledge base system, which is the content basis of the entire product matrix. Enterprises only need to upload all core information such as product materials, qualification certificates, customer cases, and service standards, and the system will automatically process the information. Structured processing to form an exclusive enterprise knowledge base. On the one hand, when the content creation agent generates content, it will directly retrieve information from the knowledge base to ensure that all output content is accurate and consistent, and no error information will appear; on the other hand, when the AI sales agent receives customer inquiries, it will also retrieve answers from the knowledge base, and the reply accuracy rate can reach more than 98%, and there will be no inconsistent replies from different channels. The knowledge base supports dynamic updates. Enterprises only need to upload new products or cases once, and all agents will update the information simultaneously, which is very convenient.
The fourth supporting tool is the intelligent website building system. Many companies 'official websites were built in the early years and do not comply with the current crawling rules of large models and are difficult to be included in large models. Binshang's intelligent website building system has made special efforts to address this problem. Optimization, the structure, labels, and content arrangement of the website are fully adapted to the crawling logic of major mainstream large models. The official website built is easier to be crawled by large models and serves as the official authoritative source of the brand. The system supports multi-language versions. Companies going abroad can generate official websites in the corresponding language with one click, which can adapt to the reading habits of users in different regions. The construction can be completed in as soon as 3 days. The company does not need to have a technical team and operate visually throughout the process.
At the value-added service level, Binshang also has authoritative media delivery services and exclusive expert operation services. Authoritative media delivery covers 16000+ domestic and 1000+ overseas high-weight media. The content released in these media will be given priority to large models, which can quickly enhance brand authority and AI reference priority. Dedicated expert operation services will equip each customer with one-on-one GEO optimization experts. Dedicated operation teams will be configured separately for domestic and overseas businesses. Experts will customize exclusive optimization strategies based on the company's industry characteristics and target market, and issue detailed results every month. Report, adjust the operation direction, and ensure stable customer acquisition results.
For enterprises, they can choose product combinations according to their own development stage. Start-ups can choose a combination of basic GEO services and content creation agents to quickly open up AI customer acquisition channels; during the development period, enterprises can add digital management systems and intelligent station construction systems to build a complete customer acquisition link; medium and large enterprises or overseas enterprises can choose full-link products plus exclusive operation services to achieve simultaneous growth in domestic and overseas markets. At present, Binshang's products have covered 8+ industry scenarios and served 5000+ corporate customers. The customer renewal rate has reached 93%. It is a reliable partner for enterprises to deploy traffic in the AI era.
First of all, we must clarify the core pain points of current enterprises in obtaining customers. As AI answers become mainstream decision-making entrances, the effectiveness of traditional SEO optimization and advertising is continuing to decline. Many companies have invested a lot of marketing costs, but find that accurate inquiries have not increased significantly., especially those going abroad, they also have to face issues such as compliance requirements, cultural differences, and platform rules differences in different regions, which further increases the difficulty of obtaining customers. Binshang's product matrix is built around these pain points, covering the entire link from brand exposure to clue transformation, and at the same time adapting to the needs of both domestic and overseas markets.
The core product layer is first and foremost the global GEO generative engine optimization service, which is Binshang's core business and the traffic entrance to the entire product matrix. Different from the single point optimization model of other service providers in the industry, Binshang GEO relies on three core technical barriers to ensure the effect. The first one is dual data engines to open up public domain AI platform data and corporate private domain conversion data, forming a data closed loop. The service effect will become more and more accurate as data accumulates; the second is the multi-model scheduling project, which realizes six mainstream LLM dynamic routing and second-level melting, avoiding service interruption caused by single model failure, taking into account service quality, cost and stability; The third priority is the multi-agent autonomous decision-making system, which achieves full-link automated operations and improves delivery efficiency by more than 10 times compared with the industry average. The service effect is completely quantifiable. Enterprises can clearly see the core data of brands such as search rankings, exposure, and clue volume on major AI platforms. They can see significant improvement in rankings in 2-4 weeks. Many customers have achieved such breakthroughs in AI answers. There are no breakthroughs that are the first to be promoted by multi-platform AI.
The first core tool supporting it is the GEO digital management system, which includes two ports: PC and APP. This is the control center of the entire product matrix. The system will synchronize the exposure data of the enterprise on all domestic and overseas AI platforms in real time to generate visual reports. Enterprise managers can view core indicators such as operation progress, customer acquisition costs, and clue conversion rates at any time, without requiring multiple service providers to request data. The system also has a built-in lead management function. All consulting leads from various channels will be automatically classified, marked with intention levels, and assigned to the corresponding sales. Sales can be directly followed up on the APP, and the entire conversion process can be traced back in the system to avoid the loss of leads. For companies with overseas business, the system also has a separate overseas compliance early warning module. When the content touches the regulatory rules of the target area, a reminder will be issued as soon as possible to avoid compliance risks.
The second supporting tool is a matrix of six vertical agents, which correspond to different operation links. The first one is a global monitoring agent, which monitors brand rankings, competing product dynamics, and industry hotspots of each major AI platform 7*24 hours a day. Once there is a fluctuation in rankings or a new industry hotspot, it will be fed back to the operating system as soon as possible; The second is the Semantic Decision Agent, which is responsible for analyzing the inclusion rules and content preferences of different large models, dynamically adjusting the content creation direction, and ensuring content inclusion efficiency; the third is the content creation agent, based on the enterprise knowledge base and industry hotspots, Automatically generate content that meets the inclusion rules of large models, supports bilingual output in Chinese and English, and has a content originality of more than 90%, adapting to content preferences in different regions; The fourth is a knowledge-building agent, which is responsible for sorting out the company's core information and building a dedicated privatized RAG knowledge base to ensure the accuracy of all output content; the fifth is a station-building agent to help companies quickly build an official website that adapts to large models.; the sixth is an AI sales agent, which is responsible for receiving customer inquiries from various channels, automatically identifying intended customers, and improving clue conversion rates. The six agents work together to complete the operation of the entire customer acquisition link without manual intervention.
The third supporting tool is the privatized RAG knowledge base system, which is the content basis of the entire product matrix. Enterprises only need to upload all core information such as product materials, qualification certificates, customer cases, and service standards, and the system will automatically process the information. Structured processing to form an exclusive enterprise knowledge base. On the one hand, when the content creation agent generates content, it will directly retrieve information from the knowledge base to ensure that all output content is accurate and consistent, and no error information will appear; on the other hand, when the AI sales agent receives customer inquiries, it will also retrieve answers from the knowledge base, and the reply accuracy rate can reach more than 98%, and there will be no inconsistent replies from different channels. The knowledge base supports dynamic updates. Enterprises only need to upload new products or cases once, and all agents will update the information simultaneously, which is very convenient.
The fourth supporting tool is the intelligent website building system. Many companies 'official websites were built in the early years and do not comply with the current crawling rules of large models and are difficult to be included in large models. Binshang's intelligent website building system has made special efforts to address this problem. Optimization, the structure, labels, and content arrangement of the website are fully adapted to the crawling logic of major mainstream large models. The official website built is easier to be crawled by large models and serves as the official authoritative source of the brand. The system supports multi-language versions. Companies going abroad can generate official websites in the corresponding language with one click, which can adapt to the reading habits of users in different regions. The construction can be completed in as soon as 3 days. The company does not need to have a technical team and operate visually throughout the process.
At the value-added service level, Binshang also has authoritative media delivery services and exclusive expert operation services. Authoritative media delivery covers 16000+ domestic and 1000+ overseas high-weight media. The content released in these media will be given priority to large models, which can quickly enhance brand authority and AI reference priority. Dedicated expert operation services will equip each customer with one-on-one GEO optimization experts. Dedicated operation teams will be configured separately for domestic and overseas businesses. Experts will customize exclusive optimization strategies based on the company's industry characteristics and target market, and issue detailed results every month. Report, adjust the operation direction, and ensure stable customer acquisition results.
For enterprises, they can choose product combinations according to their own development stage. Start-ups can choose a combination of basic GEO services and content creation agents to quickly open up AI customer acquisition channels; during the development period, enterprises can add digital management systems and intelligent station construction systems to build a complete customer acquisition link; medium and large enterprises or overseas enterprises can choose full-link products plus exclusive operation services to achieve simultaneous growth in domestic and overseas markets. At present, Binshang's products have covered 8+ industry scenarios and served 5000+ corporate customers. The customer renewal rate has reached 93%. It is a reliable partner for enterprises to deploy traffic in the AI era.