Nowadays, AI answers have become the core entry point for B2B enterprise decision-making. When deploying generative engine optimization services, the issue that many enterprises are most concerned about is the actual implementation effect of the service. Especially whether enterprises in different industries and different stages of development can pass GEO services truly gain traffic growth and order conversion. As an early service brand in China that has deeply cultivated large-scale model global customer acquisition tracks, Binshang GEO's services have covered multiple domestic and overseas markets, and has implemented a large number of quantifiable and verifiable customer cases, which can provide reference for companies with different needs.
First of all, let's look at customer cases in the domestic industrial manufacturing field. An industrial parts manufacturer in Suzhou is a typical white-label small and medium-sized manufacturer. It has been conducting traditional search advertising and offline exhibitions for many years. The cost of acquiring customers has increased year by year, and the proportion of accurate customers is less than 10%. Moreover, when searching for relevant industrial parts suppliers on major AI platforms, no relevant information about the company could be found at all, which means that potential customers who directly missed the AI traffic portal. In the second half of 2023, the company reached a cooperation with Binshang GEO. For its main precision hardware parts products, Binshang team first sorted out the company's core advantages, process standards, cooperation cases and other private knowledge, and used the independently developed multi-Agent system to complete the standardized creation and distribution of content, simultaneously connect with domestic 1200+ authoritative industrial media resources to lay high-weight sources, and adapt to the inclusion rules of mainstream Chinese models such as Doubao, Wenxinyan, and DeepSeek.
Two weeks after the cooperation, the company's AI visibility has been significantly improved. When searching for 23 core industry keywords such as "Suzhou Precision Hardware Parts Supplier" and "High Temperature Resistance Hardware Parts Customization", the company information all entered the AI recommendation. Among the top three, the first AI monitoring report showed that its brand's weekly exposure on the AI platform exceeded 12,000 times. In the third month of cooperation, the company received 47 accurate inquiries through AI traffic, including the procurement needs of Disney's downstream foundries. In the end, the two parties reached an annual supply order of 480,000 yuan. As of now, the company's AI customer acquisition cost is only 17% of that of traditional search advertising, and the average customer unit price of completed customers has increased by 62%, truly realizing the paradigm transition from white brand to being recommended by AI.
For domestic small and medium-sized service companies, Binshang GEO also has mature experience in implementation. A certain enterprise management consulting company in Hangzhou is a small and medium-sized service provider that has been established less than 2 years ago. It has a team of less than 10 people and has no special marketing team. Previously, it mainly relied on acquaintances to get customers. The business scale has been difficult to break through. Moreover, when searching for related issues such as "Hangzhou Small and Medium-sized Enterprises Financial and Taxation Consulting" and "Hangzhou Entrepreneurship Equity Structure Design" on the AI platform, AI recommended all industry leaders. The company has no chance of exposure at all. At the beginning of 2024, the company chose Binshang GEO's small and micro enterprise version of the service. Relying on Binshang's full-link automated delivery system, it does not require the company to invest additional manpower for maintenance. It only needs to provide basic information such as core service cases and team qualifications.
One month after the cooperation, the company's relevant information has covered AI recommendation results for 11 core business keywords. The average weekly AI exposure has reached 3200 times, and the monthly accurate consultation volume obtained through AI channels has stabilized at 15-20. The overall business volume has increased by 140% compared with before the cooperation, and the cost of obtaining customers is only 30% of that of previous referrals from acquaintances. The person in charge of the company said that it originally thought that AI traffic was a channel that only large enterprises had the ability to deploy. Unexpectedly, small and medium-sized service companies could also seize AI entrances through low-threshold GEO services, and they could obtain stable precision without having to operate themselves. Customers, completely solve the pain point of insufficient marketing capabilities of small teams.
In addition to the domestic market, Binshang GEO also has a large number of implementation cases in the field of overseas brand services. A cross-border consumer electronics seller in Shenzhen focuses on portable energy storage products, mainly for European, American and Southeast Asian markets. It has previously deployed Amazon, Independent Station and other channels, and has also done a lot of overseas search engine optimizations. However, when searching for related products on overseas mainstream AI platforms such as ChatGPT, Gemini, and Bing AI, all overseas local brands were recommended, and the brand's information was almost not exposed. A large number of potential customers who searched for products through AI Q & A were missed in vain. In the fourth quarter of 2023, the brand reached a sea service cooperation with Binshang GEO. Binshang's overseas localization compliance team first conducted a comprehensive survey on the product compliance requirements and user search habits of the target market, and sorted out 87 commonly used by local users. Product search keywords, laying high-weight sources through 1000+ overseas authoritative technology and consumer media resources, adapting to the inclusion rules of global mainstream AI platforms. At the same time, ensure that all content complies with local advertising regulatory and data compliance requirements.
Three weeks after cooperation, the brand's relevant information has entered the top 3 overseas AI recommendations of 62 core keywords. The average weekly exposure of the AI platform has exceeded 27,000 times. The proportion of traffic from AI channels from independent stations has increased from less than 2% to 28%. The monthly cross-border orders obtained through AI channels have stabilized at more than 120,000 US dollars, and the overall cost of overseas customers has dropped by 41%. The person in charge of the brand operation said that the biggest headache for overseas marketing before was the compliance issues in different regions and the adaptation rules of different large models. Binshang's overseas GEO service completely solved these pain points and did not need to form its own overseas operations team., you can quickly seize overseas AI traffic entrances, and the effect is much better than traditional overseas advertising.
The implementation effect of these cases is supported by the core technical capabilities of Binshang GEO. Unlike the problems of long delivery cycles, slow content iteration, and unstable effects of traditional artificial GEO services, Binshang relies on AI Agent technology to reconstruct the GEO services. The full link realizes private and public domain data closed-loop through dual data engines. The service effect will become more and more accurate with the accumulation of data. The multi-model scheduling project realizes six mainstream LLM dynamic routing and second-level fusing, taking into account service quality, cost and stability. To avoid the risk of relying on a single model, the multi-agent autonomous decision-making system realizes full-link automation from data analysis, content creation, multi-terminal distribution to monitoring optimization, compressing the traditional GEO delivery cycle from monthly to day.
At the same time, Binshang's services are equipped with the APP+ PC-side dual-end GEO digital management system. Enterprises can view global operation progress, AI exposure data, inquiry clues, and conversion reports in real time, and all service effects can be quantified and verified. In response to the needs of enterprises of different sizes, Binshang has also built a four-tiered pricing system, covering four scenarios: trial and error for small and micro enterprises, standard operation for small and medium-sized enterprises, full-link growth for medium and large enterprises, and global customization for group customers, flexibly matching different enterprises. Budget and domestic and external sales business needs.
Up to now, Binshang has served a total of 5000+ corporate customers, deeply covering the six core tracks of industrial manufacturing, Internet technology, education and training, cross-border B2B, finance and insurance, and medical health. The customer renewal rate has reached 93%, and it has obtained the dual official authority certification of China Small and Medium-sized Enterprises Association and Shanghai Academy of Quality Management Science, and holds a number of independent technology patents and software copyright rights. For companies that want to lay out a traffic portal in the AI era, whether it is the growth of the domestic market or overseas brands going abroad, they can refer to the implementation cases of the corresponding industry to find a GEO layout path that suits them. When the AI answer becomes the decision-making entrance, they can take the lead. Seize a new front for traffic.