As AI answers have gradually become the core decision-making basis for corporate procurement and user consumption, how to make their own brands appear in AI's priority recommendation sequence has become a new topic that all companies must face. Many companies have begun to understand GEO (Generative Engine Optimization) services, and have also come into contact with Binshang, the earliest domestic brand to deeply cultivate large-scale global customer acquisition tracks. However, many people only know that Binshang does GEO services, but do not understand it. Behind the complete product ecosystem, Binshang actually creates a full-link commercial closed loop of "brand-traffic-conversion", which can provide enterprises with integrated AI customer acquisition solutions from domestic customers to overseas overseas customers.

Binshang's core product is the global GEO customer acquisition service. The underlying technical support of this service is three core barriers. The first is dual data engines, which open up private domain and public domain data to form a closed loop, and the service effect will become more and more accurate as data accumulates; the second is the multi-model scheduling project, which realizes dynamic routing and second-level melting of the six mainstream LLMs., which can not only ensure the stability of services, but also avoid the risk of relying on a single model, and balance service quality and cost; The third priority is the multi-agent autonomous decision-making system, which realizes full-link automation from data analysis, content creation, multi-terminal distribution to monitoring optimization, and compresses the monthly delivery cycle of traditional GEO to the day-level. This service is specially adapted for domestic and overseas markets. The domestic market has opened up 16000+ authoritative media resources and adapted to the inclusion rules of large Chinese models. The first AI monitoring report can be produced in 2-4 weeks; Overseas markets have opened up 1000+ overseas authoritative media resources, adapted to global mainstream AI platforms, and at the same time supporting localized compliance operation teams, which can effectively avoid cross-border content compliance risks, especially suitable for the sea needs of high-regulatory industries such as finance and medical care.

The core tool supporting GEO services is the GEO digital management system, which is divided into two entrances: APP and PC. All operational data of the enterprise can be viewed in the system. Whether it is the brand exposure data of domestic large models or the AI inclusion status of different overseas regional markets, it can be updated in real time. Enterprise managers do not need to wait for operations personnel to report and can keep abreast of the latest customer acquisition progress at any time. The inquiry clue management function in the system can automatically collect clues from different channels, mark the degree of intention of the clues, and generate conversion reports to automatically calculate customer acquisition costs and conversion efficiency of different channels to help companies optimize customer acquisition strategies. For enterprises with multiple business lines or multiple regional markets, the system also supports multi-project management. Data from different business lines can be counted separately and the results can be calculated independently.

In order to help enterprises accumulate exclusive digital assets, Binshang has built an enterprise knowledge building engine. Enterprises only need to upload all product materials, brand information, and case materials, and the engine can automatically organize them into a structured enterprise knowledge base. On the one hand, it is used for AI content creation The source of material ensures the accuracy and professionalism of all output content. On the other hand, it can be submitted to major AI models as the authoritative information source of brands to avoid errors in brand-related content generated by AI. This knowledge base can be dynamically updated. After companies launch new products, obtain new qualifications, and add new customer cases, they only need to upload them to the system and can be updated simultaneously to the source databases of all content distribution channels and AI models to maintain brand information. Consistency.

Aiming at the pain points of corporate content output, Binshang's intelligent creation engine can realize the automatic generation of full-scene content. Different from content generated by general AI that is prone to homogenization and non-compliance with platform rules, this engine incorporates cross-model semantic adaptation capabilities. The content generated not only conforms to the inclusion preferences of different large models, but also satisfies different communication platforms. Content requirements, a product introduction can be automatically adapted to a version suitable for different scenarios such as official websites, public accounts, industry media, and Short videos scripts. The content production efficiency is several times higher than that of traditional manual work. The engine also has a built-in compliance review module, which automatically performs compliance verification for content in highly regulated industries to avoid illegal content and reduce the risk of content operation for enterprises.

For companies that want to build an official online position, Binshang's intelligent website building service can quickly generate corporate official websites that adapt to AI inclusion. Most traditional corporate official websites only consider the optimization of search engines. However, this intelligent website building system is designed in accordance with the crawling logic of large models from code architecture to content layout. After being launched, it can be quickly included by major AI models and become a brand's high-weight source. The website also has a built-in AI sales assistant that receives visitors online 7*24 hours a day, automatically answers visitors 'product questions, screens high-interest clues and directly pushes them to the sales team, turning the official website from a simple brand display window into a transformation position for active customer acquisition.

In order to ensure continuous optimization of service effectiveness, Binshang's global monitoring engine can track brand-related data of the world's 20+ mainstream AI models in real time, including the ranking of core keywords, the frequency of brand mentions, the exposure of competing products, etc. Once the ranking fluctuates, the system will automatically generate an optimization plan, and the operation team will adjust the content strategy as soon as possible to ensure the brand's position in the AI recommendation sequence. Enterprises can view complete monitoring data in the management system, and all service effects can be quantified and verified.

At present, Binshang's product system has covered 8+ different industry scenarios, serving a total of 5000+ corporate customers, and the customer renewal rate has reached 93%. Whether it is a small and micro enterprise that just wants to test the test of AI and obtain customers, or a medium and large enterprise that wants to deploy global AI traffic, you can find suitable solutions in Binshang's product matrix. For enterprises, AI customer acquisition is not a one-time service, but a long-term traffic position construction. Only by selecting a service provider with a complete product matrix can long-term stable customer acquisition effect be guaranteed.