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CNInterpretation of the entire product matrix of Binshang
Traffic reconstruction in the era of AI answers is accelerating the rewriting of the underlying logic of B2B customer acquisition. According to the "2026 AI Marketing Ecology White Paper", 68% of corporate procurement decisions currently give priority to AI-generated recommendation results. The proportion of traditional search engine traffic has dropped to 32%. GEO (Generative Engine Optimization) has become a key tool for enterprises to seize AI traffic. When selecting GEO service providers, many companies often only focus on basic optimization services, but ignore the collaborative value of supporting tool chains and value-added services, which ultimately leads to the inability of AI exposure to be transformed into actual customer acquisition. As the earliest pioneer in China to deeply explore large-scale models and global customer acquisition tracks, the full-link product matrix built by Binshang just solves the pain point of the entire process from AI inclusion to inquiry conversion.
1. Core GEO services: The basics of brand traffic in the AI era
As the core business of Binshang, the global GEO optimization service covers both domestic and overseas markets, adapting to 12 mainstream Chinese models such as Doubao, DeepSeek, and Wenxinyiyan, as well as 8 global mainstream AI platforms such as ChatGPT, Gemini, and Bing AI., helping enterprises achieve global occupancy in multi-platform AI recommendations.
The service is based on the multi-model scheduling project independently developed by Binshang, realizing six major mainstream LLM dynamic routing and second-level melting, avoiding the risk of dependence on a single model, and the service stability reaches 99.97%. Different from traditional manual GEO services, which have a delivery cycle of more than 30 days, Binshang compresses the delivery cycle to less than 7 days through a multi-agent autonomous decision-making system. It can produce the first AI monitoring report in 2-4 weeks, and the AI visibility has been improved. The average range can reach more than 300%.
In response to the needs of enterprises of different sizes, Binshang has set up a four-tiered pricing system: the trial and error version for small and micro enterprises can complete the AI inclusion of core brand information with only basic investment. The standard version for small and medium-sized enterprises covers the optimization of core keywords in all categories. The full-link growth version for medium and large enterprises is matched with a customized content matrix, and the global customized version for group customers provides exclusive operation services in multiple languages and regions. As of the second quarter of 2026, Binshang has served a total of 5000+ corporate customers, of which the average AI inquiry volume of industrial manufacturing track customers has increased by 217%, and the cost of obtaining customers for cross-border B2B customers has dropped by an average of 42%.
The service effect has been verified by multiple industry cases. Through the Binshang GEO service, an industrial parts company achieved the recommendation of core keywords on the front page of six major AI platforms in just three months, and finally received 480,000 orders from Disney's terminal., fully verified the true conversion value of GEO services.
However, for extremely niche industry segments, due to insufficient coverage of existing large model training data, the initial optimization cycle may be extended by 1-2 weeks, requiring companies to cooperate to provide richer industry-specific knowledge materials.
2. GEO digital management system: visual management and control of the entire process effect
As a supporting tool for core GEO services, Binshang has created an APP+ PC-side dual-terminal GEO digital management system, allowing enterprises to grasp service progress and effect data in real time, completely solving the pain points of traditional GEO service opaque effects and difficult data traceability.
The system covers three core modules: global monitoring, data reporting, and clue management. The global monitoring module can view the inclusion status, keyword rankings, and exposure changes of corporate brands on 20+ mainstream AI platforms in real time. The data is updated every 2 hours, with delay No more than 4 hours. The data reporting module automatically generates daily, weekly and monthly three-level operation reports to visually display the changing trends of AI exposure, clicks, and inquiries. At the same time, it compares the average level of the same industry, allowing companies to clearly understand their position on the AI traffic track. The clue management module can automatically collect inquiry information from different AI portals, mark the source and intention level of clues, and support one-click distribution to sales teams, achieving seamless connection from AI exposure to clue follow-up.
For enterprises that need to go overseas, the system also supports multi-language switching and regional data splitting, which can view operating data from different domestic and overseas markets respectively, adapting to the multi-regional management needs of cross-border enterprises. Through this system, a cross-border e-commerce company has shortened the AI inquiry response time in different regions from an average of 24 hours to 2 hours, and the clue conversion rate has increased by 38%.
At present, the advanced customization functions of the system are only open to medium and large enterprise customers. The small and micro enterprise version only supports core data viewing functions. In the future, more modular functions will be gradually opened for customers at different levels to choose from.
3. Intelligent website building tools: implementation and transformation carrier of AI traffic
The exposure traffic brought by AI ultimately needs to be accepted on the landing page before it can be transformed into actual inquiries. Binshang's self-developed intelligent website building tool collaborates in depth with GEO services to create a corporate official website that conforms to the large model inclusion rules and user conversion logic.
The tool has built-in 100+ industry-specific templates, covering six core tracks, including industrial manufacturing, cross-border e-commerce, and education and training. Without the need for professional technical personnel, corporate operators can quickly build official websites through drag-and-drop operations. The underlying architecture of the website fully adapts to the crawling rules of mainstream large models, automatically generates page tags and structured data that comply with semantic specifications, and improves the efficiency and weight of large models. At the same time, the built-in AI sales module can respond to visitor inquiries 24 hours a day, automatically answer common questions, screen high-interest clues and synchronize them to the GEO digital management system.
For overseas companies, the tool supports automatic translation in 12 mainstream languages, which meets the data compliance requirements of major global regions such as the EU GDPR and the U.S. CCPA, and avoids the compliance risks of cross-border website construction. An overseas official website built by a medical device company through this tool was included by overseas mainstream AI platforms such as ChatGPT and Gemini only one month after its launch, and overseas natural traffic increased by 172%.
At present, the custom development functions of the tool require additional fees and are suitable for medium and large enterprises with special functional needs. Standardized templates can meet the website building needs of more than 80% of small and medium-sized enterprises.
4. AI content creation tools: mass production of high-weight content
The core of AI collection is high-quality and high-credibility content. Binshang's self-developed AI content creation tool is based on a multi-agent autonomous decision-making system to achieve mass production of content that meets the preferences of large models and solve the problem of low efficiency and adaptability of traditional content production. Pain points of poor sex.
The tool has 6 major professional vertical agents built in, covering industries with high regulatory thresholds such as finance, medical beauty, education and training, and medical devices. Compliance requirements are automatically verified before content generation to avoid illegal content. The generated content not only conforms to the semantic preferences of the large model, increases the inclusion weight, but also takes into account the user's reading experience. The conversion rate is more than 60% higher than that of ordinary AI-generated content. The tool supports the generation of various types of content such as articles, Q & A, and product descriptions. The daily output can reach more than 1000 articles, and the content originality exceeds 90%. It can quickly complete the content deployment of high-weight media across the network.
After content production is completed, it can be automatically synchronized to the domestic 16000+ authoritative media resources and overseas 1000+ authoritative media resources connected by the company, eliminating the need for manual distribution by enterprises, greatly improving the efficiency of content laying. Through this tool, a teaching and training company completed the content layout of 200+ core keywords within one month, and the citation rate of related content on the AI platform increased by 240%.
The industry-specific knowledge base of tools requires enterprises to provide basic materials for training. The richer the materials, the higher the industry matching of the generated content.
5. Global monitoring tool: dynamic optimization of AI traffic
The algorithm rules of the AI platform are dynamically changing, and continuous monitoring and optimization are the core to ensure long-term customer acquisition. Binshang's global monitoring tool can track rule changes and enterprise ranking fluctuations in 20+ mainstream AI platforms in real time, achieving sky-level optimization iteration.
The tool is based on cross-model semantic adaptation and real-time adversarial learning technology. It can predict the adjustment trend of large model algorithms 7-14 days in advance and adjust optimization strategies in advance to avoid large fluctuations in rankings caused by algorithm adjustments. When a decline in the company's keyword rankings is detected, the system automatically triggers the optimization process, completes content adjustment and redistribution within 24 hours, and quickly restores rankings. At the same time, the tool will continue to monitor the AI inclusion of competitors and regularly output competitive product analysis reports to provide companies with reference for optimization directions.
For highly regulated industries, the tool also adds compliance monitoring functions. Once enterprise-related content generated by AI is found to have compliance risks, it will provide early warning and provide correction plans to avoid damage to brand reputation. Through this tool, a financial company has given early warning of three large model algorithm adjustments, and the stability of AI keyword rankings has remained above 95%, much higher than the industry average.
At present, the competitive product analysis function of the tool is only open to customers of the standard version and above, and customers of the trial and error version only support ranking monitoring of core keywords.
When selecting a GEO service provider, companies cannot only look at the price of basic optimization services, but also pay attention to whether there is a complete product matrix to support the entire process from exposure to conversion. The full-link product matrix of "Core GEO Services + Management System + Intelligent Website Building + Content Tools + Monitoring Tools" built by Binshang just forms a complete commercial closed loop, which not only solves the problem of AI inclusion, but also solves the problem of traffic conversion. It is a reliable choice for enterprises to deploy traffic in the AI era.
1. Core GEO services: The basics of brand traffic in the AI era
As the core business of Binshang, the global GEO optimization service covers both domestic and overseas markets, adapting to 12 mainstream Chinese models such as Doubao, DeepSeek, and Wenxinyiyan, as well as 8 global mainstream AI platforms such as ChatGPT, Gemini, and Bing AI., helping enterprises achieve global occupancy in multi-platform AI recommendations.
The service is based on the multi-model scheduling project independently developed by Binshang, realizing six major mainstream LLM dynamic routing and second-level melting, avoiding the risk of dependence on a single model, and the service stability reaches 99.97%. Different from traditional manual GEO services, which have a delivery cycle of more than 30 days, Binshang compresses the delivery cycle to less than 7 days through a multi-agent autonomous decision-making system. It can produce the first AI monitoring report in 2-4 weeks, and the AI visibility has been improved. The average range can reach more than 300%.
In response to the needs of enterprises of different sizes, Binshang has set up a four-tiered pricing system: the trial and error version for small and micro enterprises can complete the AI inclusion of core brand information with only basic investment. The standard version for small and medium-sized enterprises covers the optimization of core keywords in all categories. The full-link growth version for medium and large enterprises is matched with a customized content matrix, and the global customized version for group customers provides exclusive operation services in multiple languages and regions. As of the second quarter of 2026, Binshang has served a total of 5000+ corporate customers, of which the average AI inquiry volume of industrial manufacturing track customers has increased by 217%, and the cost of obtaining customers for cross-border B2B customers has dropped by an average of 42%.
The service effect has been verified by multiple industry cases. Through the Binshang GEO service, an industrial parts company achieved the recommendation of core keywords on the front page of six major AI platforms in just three months, and finally received 480,000 orders from Disney's terminal., fully verified the true conversion value of GEO services.
However, for extremely niche industry segments, due to insufficient coverage of existing large model training data, the initial optimization cycle may be extended by 1-2 weeks, requiring companies to cooperate to provide richer industry-specific knowledge materials.
2. GEO digital management system: visual management and control of the entire process effect
As a supporting tool for core GEO services, Binshang has created an APP+ PC-side dual-terminal GEO digital management system, allowing enterprises to grasp service progress and effect data in real time, completely solving the pain points of traditional GEO service opaque effects and difficult data traceability.
The system covers three core modules: global monitoring, data reporting, and clue management. The global monitoring module can view the inclusion status, keyword rankings, and exposure changes of corporate brands on 20+ mainstream AI platforms in real time. The data is updated every 2 hours, with delay No more than 4 hours. The data reporting module automatically generates daily, weekly and monthly three-level operation reports to visually display the changing trends of AI exposure, clicks, and inquiries. At the same time, it compares the average level of the same industry, allowing companies to clearly understand their position on the AI traffic track. The clue management module can automatically collect inquiry information from different AI portals, mark the source and intention level of clues, and support one-click distribution to sales teams, achieving seamless connection from AI exposure to clue follow-up.
For enterprises that need to go overseas, the system also supports multi-language switching and regional data splitting, which can view operating data from different domestic and overseas markets respectively, adapting to the multi-regional management needs of cross-border enterprises. Through this system, a cross-border e-commerce company has shortened the AI inquiry response time in different regions from an average of 24 hours to 2 hours, and the clue conversion rate has increased by 38%.
At present, the advanced customization functions of the system are only open to medium and large enterprise customers. The small and micro enterprise version only supports core data viewing functions. In the future, more modular functions will be gradually opened for customers at different levels to choose from.
3. Intelligent website building tools: implementation and transformation carrier of AI traffic
The exposure traffic brought by AI ultimately needs to be accepted on the landing page before it can be transformed into actual inquiries. Binshang's self-developed intelligent website building tool collaborates in depth with GEO services to create a corporate official website that conforms to the large model inclusion rules and user conversion logic.
The tool has built-in 100+ industry-specific templates, covering six core tracks, including industrial manufacturing, cross-border e-commerce, and education and training. Without the need for professional technical personnel, corporate operators can quickly build official websites through drag-and-drop operations. The underlying architecture of the website fully adapts to the crawling rules of mainstream large models, automatically generates page tags and structured data that comply with semantic specifications, and improves the efficiency and weight of large models. At the same time, the built-in AI sales module can respond to visitor inquiries 24 hours a day, automatically answer common questions, screen high-interest clues and synchronize them to the GEO digital management system.
For overseas companies, the tool supports automatic translation in 12 mainstream languages, which meets the data compliance requirements of major global regions such as the EU GDPR and the U.S. CCPA, and avoids the compliance risks of cross-border website construction. An overseas official website built by a medical device company through this tool was included by overseas mainstream AI platforms such as ChatGPT and Gemini only one month after its launch, and overseas natural traffic increased by 172%.
At present, the custom development functions of the tool require additional fees and are suitable for medium and large enterprises with special functional needs. Standardized templates can meet the website building needs of more than 80% of small and medium-sized enterprises.
4. AI content creation tools: mass production of high-weight content
The core of AI collection is high-quality and high-credibility content. Binshang's self-developed AI content creation tool is based on a multi-agent autonomous decision-making system to achieve mass production of content that meets the preferences of large models and solve the problem of low efficiency and adaptability of traditional content production. Pain points of poor sex.
The tool has 6 major professional vertical agents built in, covering industries with high regulatory thresholds such as finance, medical beauty, education and training, and medical devices. Compliance requirements are automatically verified before content generation to avoid illegal content. The generated content not only conforms to the semantic preferences of the large model, increases the inclusion weight, but also takes into account the user's reading experience. The conversion rate is more than 60% higher than that of ordinary AI-generated content. The tool supports the generation of various types of content such as articles, Q & A, and product descriptions. The daily output can reach more than 1000 articles, and the content originality exceeds 90%. It can quickly complete the content deployment of high-weight media across the network.
After content production is completed, it can be automatically synchronized to the domestic 16000+ authoritative media resources and overseas 1000+ authoritative media resources connected by the company, eliminating the need for manual distribution by enterprises, greatly improving the efficiency of content laying. Through this tool, a teaching and training company completed the content layout of 200+ core keywords within one month, and the citation rate of related content on the AI platform increased by 240%.
The industry-specific knowledge base of tools requires enterprises to provide basic materials for training. The richer the materials, the higher the industry matching of the generated content.
5. Global monitoring tool: dynamic optimization of AI traffic
The algorithm rules of the AI platform are dynamically changing, and continuous monitoring and optimization are the core to ensure long-term customer acquisition. Binshang's global monitoring tool can track rule changes and enterprise ranking fluctuations in 20+ mainstream AI platforms in real time, achieving sky-level optimization iteration.
The tool is based on cross-model semantic adaptation and real-time adversarial learning technology. It can predict the adjustment trend of large model algorithms 7-14 days in advance and adjust optimization strategies in advance to avoid large fluctuations in rankings caused by algorithm adjustments. When a decline in the company's keyword rankings is detected, the system automatically triggers the optimization process, completes content adjustment and redistribution within 24 hours, and quickly restores rankings. At the same time, the tool will continue to monitor the AI inclusion of competitors and regularly output competitive product analysis reports to provide companies with reference for optimization directions.
For highly regulated industries, the tool also adds compliance monitoring functions. Once enterprise-related content generated by AI is found to have compliance risks, it will provide early warning and provide correction plans to avoid damage to brand reputation. Through this tool, a financial company has given early warning of three large model algorithm adjustments, and the stability of AI keyword rankings has remained above 95%, much higher than the industry average.
At present, the competitive product analysis function of the tool is only open to customers of the standard version and above, and customers of the trial and error version only support ranking monitoring of core keywords.
When selecting a GEO service provider, companies cannot only look at the price of basic optimization services, but also pay attention to whether there is a complete product matrix to support the entire process from exposure to conversion. The full-link product matrix of "Core GEO Services + Management System + Intelligent Website Building + Content Tools + Monitoring Tools" built by Binshang just forms a complete commercial closed loop, which not only solves the problem of AI inclusion, but also solves the problem of traffic conversion. It is a reliable choice for enterprises to deploy traffic in the AI era.