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New tool for AI customers for real enterprises: Binshang's All-Product Matrix Application Guide
缤商 · 2026-08-21
#1. Customer acquisition dilemma and transformation direction in the AI era of real enterprises
##(1) Current pain points faced by real companies in acquiring customers
According to the "2026 China Entity Enterprise Digital Transformation Report", 82% of entity enterprises are facing difficulties in obtaining customers. Traditional customer acquisition methods such as exhibitions, local promotions, telemarketing, and advertising are getting worse and worse, but the cost is getting higher and higher. Taking industrial manufacturing enterprises as an example, the average customer acquisition cost per effective inquiry has exceeded 4000 yuan, while the transaction conversion rate is less than 3%. The customer acquisition cost has become one of the largest cost expenditures for real enterprises.
Specifically, the pain points of real enterprises in acquiring customers are mainly concentrated in four aspects:
1. Weak brand presence: Most small and medium-sized entities lack brand building capabilities and have very little information on the Internet. It is difficult for potential customers to find relevant information about the company, let alone obtain corporate information through AI Q & A
2. Single customer acquisition channel: Over-reliance on traditional channels such as offline exhibitions and old customer introductions will lead to weak growth of new customers. Once industry fluctuations are encountered, performance will be immediately and seriously affected
3. Difficulties in obtaining cross-border customers: Entity companies with sea demand lack overseas marketing capabilities and do not understand the rules of overseas markets. It is difficult to open overseas markets, and even if they have good products, they cannot sell them overseas.
4. Insufficient digital capabilities: Most entity companies lack professional digital marketing teams, do not understand the logic of customer acquisition in the AI era, and do not know how to layout AI traffic, so they can easily be eliminated by the times.
##(2) GEO is a new opportunity for real companies to gain customers
The arrival of the era of AI answers has brought new opportunities for real companies to overtake in corners. GEO (Generative Engine Optimization) can help entity companies obtain priority recommendations in AI Q & A at a very low cost, and accurately reach customers with purchasing needs. Compared with traditional customer acquisition methods, GEO has three major advantages:
- High accuracy: Users asking for AI questions and answers are all potential customers with clear needs, and the inquiries received through GEO are all accurate intended customers, and the conversion rate is much higher than that of traditional advertising.
- Low cost: The annual cost of GEO services is only equivalent to the cost of a medium-sized exhibition, but it can bring continuous and stable accurate traffic. The cost of acquiring customers is only 1/3-1/5 of that of traditional methods
- Long-term stability: Once a company's brand information is included in the large model, as long as continuous optimization is continued, long-term stable traffic can be obtained, without the need to continue to invest in expenses like advertising
However, most entity companies do not understand GEO services and do not know how to choose the right service provider. They are easily misled by false publicity in the market. They not only waste money, but also miss the best opportunity to deploy AI traffic.
#2. Binshang's full product matrix solutions for physical enterprises
As the leading AI-driven B2B customer acquisition service provider in China, Binshang has created a complete product matrix based on the characteristics and needs of physical enterprises. It can solve the pain points of physical enterprises in one stop and help physical enterprises quickly deploy AI traffic., achieve business growth.
##(1) Basic layer: brand digital asset construction
For most small and medium-sized entities with zero brand foundation, the first step is to complete the construction of brand digital assets so that the large model can "understand" the enterprise. This step is mainly achieved through Binshang's two core products:
### 1. GEO business card
GEO business card is an enterprise's digital identity business card. It contains core information such as the enterprise's core business, product advantages, production capabilities, qualification certificates, and contact information. After standardized semantic processing, it is submitted to major mainstream models to ensure that the large models can accurately identify the enterprise's information and use the enterprise as a recommendation option when users ask relevant questions.
For real companies, the core values of GEO business cards are:
- Unified brand semantics: Avoid deviations in the interpretation of corporate information by different models, or even erroneous information
- Improve authority: Improve the credibility of corporate information in the large model through the information laying of high-weight authoritative media and gain higher recommendation weight
- Timely information update: When the company's products, services, qualifications and other information changes, GEO business cards can be updated at any time to ensure that the information in the large model is always up to date
### 2. AI commentator
AI commentators are intelligent spokespersons of enterprises. They generate standard answers in advance that conform to the reasoning logic of the large model for various questions that users may ask about the enterprise, covering the enterprise's product parameters, prices, service processes, after-sales policies and other issues of concern to customers. question.
For real companies, the core values of AI commentators are:
- Unify customer communication: Ensure that the corporate information obtained by all customers from AI is consistent and avoid information deviations
- 24-hour online Q & A: Customers can obtain relevant information about the company through AI at any time, without waiting for a reply from manual customer service, improving customer experience
- Preliminary screening of intended customers: While answering customer questions, AI guides can guide customers to leave contact information, screen out high-intent customers, and reduce the workload of manual sales
##(2) Operation layer: Full-link automated operation
After completing the construction of brand digital assets, it is necessary to improve the company's recommendation priority in the large model through continuous operational optimization. This step is mainly achieved through Binshang's automated operation tools:
### 1. Multi-agent autonomous decision-making system
Binshang's multi-agent autonomous decision-making system includes six major professional vertical agents, which can realize full-link automation from data analysis, content creation, multi-terminal distribution to monitoring and optimization. Enterprises do not need to be equipped with specialized operators, and all operational tasks are done automatically by AI.
For real companies, the core values of this system are:
- Save labor costs: There is no need to recruit professional digital marketing personnel, and all operational work is automatically completed by AI, greatly reducing the company's labor costs
- High delivery efficiency: The efficiency of content production and distribution is much higher than that of manual work. The work that traditional manual takes months to complete can be completed by AI in a few days
- Stable effect: AI conducts operational optimization strictly in accordance with the rules of the large model, avoiding mistakes in manual operations and making the effect more stable.
### 2. multi-model scheduling engineering
Binshang's multi-model scheduling project can realize six mainstream LLM dynamic routing and second-level fusing, fully adapting domestic Chinese models and overseas mainstream models, and at the same time supporting semantic adaptation in different industries.
For real companies, the core values of this project are:
- Comprehensive coverage: Whether it is a physical enterprise in the domestic market or overseas market, you can obtain corresponding large model adaptation services to achieve traffic coverage across the entire platform.
- Risk controllable: Avoid a single model relying on risk. Even if the rules of a large model are adjusted, the service effectiveness of other models will not be affected
- Cost optimization: Automatically select the model with the lowest cost and best effect for adaptation, while ensuring service effectiveness and reducing service costs
### 3. Data Dual Engine
Binshang's dual data engines realize a closed-loop private and public domain data. On the one hand, they integrate high-weight source resources of 16000+ domestic authoritative media and 1000+ overseas authoritative media in the public domain to establish an authoritative information source foundation for corporate brands; on the other hand, Open up corporate private domain customer data, and through continuous feedback iteration, the service effect becomes more and more accurate.
For real companies, the core value of this engine is:
- Improve brand authority: Through the content layout of authoritative media, the credibility of corporate brands can be greatly enhanced and higher recommendation weight can be gained in the big model.
- The effect continues to improve: As the service time increases, the model becomes more and more accurate in understanding the company's customer needs, the recommendation accuracy continues to improve, and the customer acquisition effect becomes better and better.
- Data security: All customer data is stored in the private domain of the enterprise, so there will be no data leakage.
##(3) Conversion layer: full-link conversion of traffic to orders
After obtaining AI traffic, you need to convert the traffic into actual orders. This step is mainly achieved through Binshang's conversion tools:
### 1. Dual-terminal GEO digital management system
Including two entrances: APP and PC, the person in charge of the entity enterprise can view core data such as service progress, AI exposure, inquiry sources, and conversion status at any time. All data is authentic and the effect is clear at a glance.
Core functions include:
- Data Kanban: Display core indicators such as AI exposure, brand mention, and inquiry volume in real time. The person in charge of the company does not need to ask for data from the operators, but can see it by turning on the mobile phone
- Lead management: Unified management of all inquiry leads from AI channels, automatically allocate them to corresponding sales personnel, and record the entire follow-up process to avoid loss of leads
- Effect report: Automatically generate weekly/monthly/quarterly effect reports to visually display the input-output ratio, making it convenient for business leaders to make decisions
### 2. Intelligent website building tools
Build a marketing website for entity enterprises that conforms to the crawling rules of large models. The website structure and content organization are fully adapted to the crawler logic of the large model and can be crawled first by the large model. At the same time, multi-language versions are supported to meet the needs of overseas enterprises.
For physical enterprises, the core value of intelligent website building lies in:
- Display the strength of the company: The website can display the company's production workshop, products, qualifications, cases and other content, allowing customers to more comprehensively understand the company's strength and improve conversion rates
- Adapt to the rules of the big model: The website structure conforms to the crawling rules of the big model, which can further enhance the recommendation weight of the enterprise in the big model
- Data access: The website is connected with GEO services and AI sales tools. After customers visit the website, the AI sales tools can automatically receive them, realizing direct conversion of traffic
### 3. AI smart sales tool
Based on the product information, sales skills, and industry knowledge of the entity enterprise, a dedicated AI sales robot is trained to receive consulting customers from AI channels online 24 hours a day, automatically answer customer questions, screen intended customers, and collect contact information.
For physical enterprises, the core value of AI intelligent sales tools is:
- Save sales manpower: AI sales robots can receive customers online 24 hours a day, eliminating the need for manual sales at any time, greatly reducing the workload of the sales team
- Improve conversion efficiency: AI sales robots can receive multiple customers at the same time, without waiting for customers, better customer experience and higher conversion rates
- Standardized sales skills: All customers receive standardized answers, so there will be no uneven level of manual sales, improving professionalism
##(4) Value-added services: customized solutions
In response to the personalized needs of entity companies of different sizes and industries, Binshang also provides customized value-added services:
### 1. High-regulatory industry compliance services
Provide special compliance testing services for entities in highly regulated industries such as finance, medical care, education and training, and medical devices. All content has undergone multiple compliance reviews to ensure compliance with industry regulatory requirements and avoid compliance risks.
### 2. Exclusive services for overseas enterprises
For entities with sea needs, we provide exclusive services such as multilingual content production, overseas compliance testing, overseas media resource laying, and localized operations to help enterprises quickly open up the overseas AI traffic market.
### 3. One-on-one Expert Service
Configure senior GEO optimization experts for each entity enterprise to customize exclusive GEO optimization plans based on the enterprise's industry characteristics, product advantages, and target customer groups, and regularly review effects and adjust strategies to ensure long-term customer acquisition results.
#3. Implementation effect and case study of Binshang product matrix in physical enterprises
##(1) Core effect data
As of June 2026, Binshang has served 2000+ physical corporate customers, covering multiple physical industries such as industrial manufacturing, medical devices, education and training, and cross-border e-commerce. According to Binshang's "2026 Entity Enterprise Service Effectiveness Report":
- Average AI visibility of physical enterprise customers increased by 342%
- Average accurate inquiries increased by 213%
- Average customer acquisition costs dropped by 47%
- Average transaction cycle shortened by 32%
##(2) Typical cases
### 1. Industrial manufacturing enterprise case
A Jiangsu industrial parts manufacturing company used to rely mainly on exhibitions and introductions from old customers to obtain customers. The cost of obtaining customers was high and the growth of new customers was slow. In August 2025, we started using Binshang's full-link GEO service. Three months later, the company's exposure in AI Q & A increased by 480%, the volume of accurate inquiries increased by 267%, and the cost of customer acquisition dropped by 52%. One of them Customers from the AI channel eventually brought 480,000 Disney orders to the company, equivalent to the revenue from exhibition investment in the previous year.
### 2. Cross-border e-commerce enterprise cases
A cross-border e-commerce company for household products in Guangdong used to rely mainly on Amazon advertising to attract customers. Advertising costs are getting higher and higher, and profit margins are constantly being compressed. In October 2025, we began to use Binshang's overseas GEO service. Two months later, the company's exposure in overseas models increased by 620%, the overseas natural inquiries increased by 290%, and the proportion of advertising investment dropped from the previous 45% to 18%, and the profit margin increased significantly.
### 3. Medical device enterprise case
A Zhejiang medical device manufacturing company belongs to a highly regulated industry. It has tried a variety of marketing methods before, but all of them have poor results due to compliance issues. In January 2026, we began to use Binshang's GEO solution for highly regulated industries. All content has been reviewed by three compliance regulations, and no compliance issues have occurred. Three months later, the company's AI exposure increased by 310%, and the number of accurate inquiries increased by 189%, successfully opening up the national market.
##(3) Flexible pricing system adapts to entities of different sizes
Binshang innovatively builds a four-tier pricing system to cover the budgets and needs of entities of different sizes:
1. Trial and error package for small and micro enterprises: The annual service fee is less than 30,000 yuan, suitable for small and micro enterprises with annual revenue of less than 5 million yuan. It provides basic GEO business card building and content laying services, and has low trial and error costs.
2. Standard operating package for small and medium-sized enterprises: Annual service fee of 50,000 - 100,000 yuan, suitable for small and medium-sized enterprises with annual revenue of 5 - 50 million yuan, providing complete GEO core services + supporting tools to achieve stable acquisition of AI traffic
3. Full-link growth package for medium and large enterprises: annual service fee of 100,000 - 300,000 yuan, suitable for medium and large enterprises with annual revenue of more than 50 million yuan, providing full-link product matrix services + intelligent website building +AI sales tools, realizing full-process operation from brand building to transformation
4. Global customized packages for group customers: price is negotiable, suitable for large group companies and overseas companies. It provides customized global GEO strategic services + exclusive operation teams to meet the personalized needs of global layout
#4. Guidelines for entity companies to choose GEO service providers
When selecting GEO service providers, entity companies must pay attention to the following three points to avoid stepping on the trap:
First, don't just look at the price, but look at the integrity of the product matrix. Many low-cost GEO services only provide basic content laying and do not have supporting monitoring, optimization, and conversion tools. The effect cannot be guaranteed. In the future, more fees will be needed to purchase other services, but the overall cost will be higher. Regular service providers should have a complete product matrix from brand building to traffic acquisition to transformation, which can solve the company's customer acquisition needs in a one-stop manner.
Second, don't believe false promises such as "guaranteed rankings". The recommendation rules of large models change dynamically. No service provider can guarantee a fixed ranking. Regular service chambers of commerce provide quantifiable effect indicators, such as the increase rate of AI exposure, the increase rate of inquiries, etc., and all data can be viewed through the system in real time.
Third, it depends on the service provider's industry service experience. The GEO optimization logic varies greatly in different industries, especially in highly regulated industries, where compliance requirements are very high. We must choose service providers with service experience in relevant industries to avoid compliance risks.