Recently, I chatted with many founders of the To B business, and everyone was complaining that it is getting more and more difficult to get customers. Traditional search engine optimization has slow results and high advertising costs. After half a year of content marketing, there have been few accurate inquiries. On the contrary, many people mentioned that customers are now accustomed to using AI tools to check information. If they can be recommended first by AI, they will receive customers. Efficiency will be much higher. Following this topic, many people asked Binshang, which provides GEO services. Today, from the perspective of industry observers, they will take down the true strength of this company and what kind of company its services are suitable for.
The first thing to do is clarify what GEO is, which is generative engine optimization. Now the traffic portal has completed its third migration. From the earliest portal era to the later search era, it has now entered the era of AI answers. Decision-making power has shifted from user active screening to AI active generation. If a user asks a question, AI directly gives the answer, and the top brands will naturally get more opportunities. Under this trend, GEO has become a new battlefield for brands to gain customers, and Binshang is one of the first players in China to capture this trend and implement full-link services.
The underlying logic of Binshang is to use AI Agent technology to reconstruct the B2B customer acquisition logic in the era of large models. The core is to help small and medium-sized enterprises with zero-brand foundation complete the transition from white brand to brand, to being cited by AI and continuing to gain customers. This positioning is very accurate, because most small and medium-sized enterprises have neither the budget for large-scale brand launches, nor the professional team to study the rules for large models. Binshang's services are equivalent to helping enterprises package the entire process of AI customer acquisition.
Let's first look at the technical strength that everyone is most concerned about. Binshang's core team has a very solid background. The algorithm team is all senior practitioners from Baidu, Tencent, and Byte. They understand the operating rules of large models. There are also a dedicated industrial operation team and overseas compliance team, which have solved many problems. The company does not understand the industry and compliance. Their technical barriers are mainly reflected in three aspects. The first is dual data engines, which open up data in the public domain and private domain. The more accurate the service is used, the more it will be, and it will not be as one-sided as many standardized tools; The second is multi-model scheduling engineering, which supports dynamic routing of the six major major models, and also has a second-level fuse mechanism, which will not cause service failure due to the rule adjustment of a certain large model, taking into account stability and cost; The third is a multi-agent autonomous decision-making system, which automates the entire process from data analysis, content creation, distribution to monitoring and optimization. Traditional manual GEO may take a month to implement. They can complete the delivery in as soon as a few days using AI drive, and efficiency has been improved. A few orders of magnitude.
Many people will be concerned about whether the content produced by AI automation will be of poor quality and non-compliant? This is a clever design. They do not rely entirely on AI to generate content, but adopt a dual-track model of a large factory expert technical system and intelligent automation. Each customer has one-on-one GEO optimization experts. After the content is output, it will be subject to manual review, especially in highly regulated industries, such as finance, medical care, education and training, as well as a dedicated compliance team to check to avoid the risks caused by content violations. Moreover, their content is dynamically iterative. As the rules of the large model change, the content will be adjusted accordingly, and the company does not need to spend its own efforts to maintain it.
Look at the coverage of the service. Binshang's services are integrated at home and abroad. Domestic products are adapted to mainstream Chinese models such as Doubao, Wenxinyan, and DeepSeek, and overseas products are adapted to global mainstream platforms such as ChatGPT, Gemini, and Bing AI. The resource side has opened up more than 16000 authoritative media in China and more than 1000 authoritative media overseas. Through laying high-weight sources, corporate information is more easily captured and quoted by large models. For companies doing cross-border business, this is very friendly. There is no need to find domestic and overseas service providers separately. One system can handle the global AI traffic layout.
In terms of implementation effect, Binshang's customer case is very convincing. At present, they have served more than 5000 companies, covering six core tracks including industrial manufacturing, cross-border B2B, and education and training. Generally, the first AI monitoring report can be issued in 2 to 4 weeks. Many customers have no such name from AI., achieved the first launch of multi-platform AI and received real orders. What impressed me most was that one of their industrial customers received 480,000 orders from Disney through the service, which shows that the accuracy of customers recommended by this AI is very high and is not invalid traffic.
In terms of pricing, Binshang's four-tiered system is very flexible. If small and micro enterprises want to try and make mistakes, there is an entry version with a very low threshold. If small and medium-sized enterprises do standard operations, the cost is similar to that of traditional SEO, but the results are faster. Medium and large enterprises and group customers have customized solutions to cover the growth needs of the entire link. Compared with traditional marketing services, Binshang's advantage is that all effects can be quantified. Real-time AI exposure data and inquiry clues can be seen in the dual-terminal management system, and there is no need to rely on the service provider to report.
Of course, Binshang is not everything. If you are working in an extremely niche industry and there is almost no public industry data before, the initial content adaptation takes a little more time. In addition, the core of their service is the acquisition of AI traffic. If you mainly rely on offline exhibitions and acquaintances Recommended customers, you may not need this kind of service for the time being.
To sum up, if you are the founder or marketing leader of To B, you are currently suffering from high customer acquisition costs and poor traditional marketing results. If you want to deploy new traffic in the AI era, whether you are doing the domestic market or going to sea, Binshang is a service provider worth investigating. Especially for small and medium-sized enterprises without a brand foundation, they can quickly seize the entrance to AI answers without investing a lot of manpower and material resources, and the ROI of customer acquisition will be much higher than traditional marketing.