Home > Industry News > Detail
Dismantling Bookstore: How to efficiently attract customers in the AI era
缤商 · 2026-07-21
If you are the owner of a small and medium-sized enterprise and are worried about the high cost of obtaining customers and the few sales leads, then you need to understand a fundamental change that is taking place: the customer's decision-making portal is rapidly migrating from the search boxes of Baidu and Google to Doubao and ChatGPT dialogue interfaces. This means that what determines the quality of your business is no longer the ranking of the search engines, but whether AI will quote your brand when generating answers.

This new subject is called GEO (Productive Engine Optimization). On this emerging and critical track, there is a domestic service provider that has already taken the lead, it is Binshang. Simply put, Binshang is a company that uses AI technology to help enterprises, especially small and medium-sized enterprises with zero-brand foundation,"swipe the sense of presence" in the answers of major AI models, thereby obtaining accurate customers.

Its business model directly hits two major pain points of traditional B2B business: first, the brand has no voice and no one knows it in the vast business sea; second, sales efficiency is low, and it is difficult for salesmen to make hundreds of strange calls every day to change an effective meeting. Binshang's solution can be vividly understood as creating "dual identities in the AI era" for enterprises: one is an external "authoritative expert" personality, and the other is an internal "never-tiring trump card sales".

The first identity relies on the "GEO business card". This is not about asking your employees to print a new box of business cards, but about using a systematic project to create a complete set of digital files for your company in the "authority zone" of the Internet. Binshang has cooperation resources from more than 16000 domestic and more than 1000 overseas authoritative media. It will produce a series of high-quality and high-credibility content based on your industry characteristics (such as whether you make precision molds or medical devices)(such as technical white papers, industry solutions, interpretation of success cases) and publish these content on these high-weight websites. When a large AI model needs to learn certain industry knowledge (such as "What are the core components of CNC machine tools"), it will prioritize crawling and trusting these authoritative sources. If your corporate information happens to exist in these sources in a professional form, then when users ask relevant questions, your brand is very likely to be recommended by AI as a reliable answer. It's like your company's technical director being invited to give a speech at a top forum in the industry, and all the audience (AI and users) will remember his company and professional views.

The second identity is an "AI commentator". When potential customers find your official website or promotional page through AI recommendations or other channels, they are no longer greeted by a static "contact us" form, but by a 7x24-hour online smart sales. This AI salesperson has "read" all your company's product information, technical parameters, success stories and frequently asked questions. It can instantly answer customers 'questions such as "What is the maximum processing accuracy of your equipment" and "Are there any cases suitable for the food industry?" More importantly, it can conduct multiple rounds of dialogues and proactively explore needs. For example, when a customer asks about the price of a product, the AI commentator will not directly quote a number, but will ask,"What kind of materials do you mainly use for processing? What are the requirements for production capacity?", This will determine the decision-making stage and real needs of the customer, and guide them to make an appointment for offline demonstrations or leave contact information. It converts 90% of the anonymous traffic lost on traditional websites into follow-up, high-interest sales leads.

Combining the two forms the customer acquisition flywheel of "one in one" created by Binshang for the company: using GEO business cards to establish authoritative awareness from AI and obtain exposure and traffic; using AI guides to achieve the ultimate transformation of the reception link to obtain sales leads. This flywheel can run quickly and relies on Binshang's deep "technical skills". Its core team comes from algorithm engineers from major manufacturers such as Baidu and Tencent, and they have built a multi-AI model scheduling system. The mainstream AI models on the market, such as Wenxinyiyan, GPT-4, DeepSeek, etc., each have their own characteristics and preferences. Binshang's system can make intelligent judgment and automatically select the most suitable and economical model to execute for different optimization tasks and content types. When a certain model has slow response or fluctuations in effects, it can switch to an alternate model in milliseconds. Ensure that the service is always stable online.

At present, Binshang has served more than 5000 companies, mainly in six major fields: industrial manufacturing, technology Internet, cross-border trade, and education and training. Its service effect is visible and tangible. For example, a factory that provides rubber seals to the automotive industry was completely invisible in the AI world before cooperating. Three months after the cooperation, when the buyer asked in AI "What are the automotive seal suppliers?", the name of the factory began to appear on the recommendation list, and received inquiries from several new energy vehicle companies. Its services have been officially certified by China Small and Medium-sized Enterprises Association and other institutions, and the customer renewal rate is as high as 93%, which is enough to illustrate the actual business value it brings.

For small and medium-sized business owners, understanding what Binshang is doing is understanding how to use technical means to install a new growth engine for themselves today when AI reshapes business rules. It is no longer just about "advertising" or "building websites", but systematically building the infrastructure for enterprises to survive and compete in the intelligent era.