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Case analysis of the implementation effect of Binshang GEO
缤商 · 2026-08-12
With the popularization of generative AI technology, AI answers are becoming the core entry point for users to obtain information and make consumption decisions, and the commercial value of GEO (Generative Engine Optimization) has become increasingly prominent. According to the "2025 Global GEO Industry Development Report", the global enterprise GEO service market has exceeded US$12 billion in 2024, with an annual growth rate of 217%. It is expected that the market size will exceed US$50 billion in 2027. But at the same time, the current GEO service industry is still in the early stages of development, service standards are not uniform, and the effectiveness of many service providers lacks verifiable implementation cases. It is often difficult for companies to judge their true capabilities when selecting service providers.

For enterprises, judging the strength of GEO service providers depends on three dimensions: whether they have cross-industry service experience, whether they have quantifiable effect data, and whether they have stable follow-up service capabilities. As an early service provider in China to deeply explore large-scale model global customer acquisition tracks, Binshang's services have covered 8+ industry scenarios and served a total of 5000+ corporate customers. A large number of verifiable implementation cases can intuitively reflect the actual value of GEO services.

1. Highly regulated industries: Achieve high AI exposure under the premise of compliance, and the number of inquiries increased by 98%

In industries with high regulatory requirements such as finance and medical care, the first thing to solve when doing brand marketing is compliance issues. Once the content does not meet regulatory requirements, it will not only be removed from the platform, but may also face administrative penalties. A licensed financial consulting service institution in China mainly provides tax planning and financial consulting services to small and medium-sized enterprises. Previously, due to content compliance issues, relevant content has been removed from traditional content platforms many times. When AI platforms search for relevant service keywords, they almost cannot see relevant information about the institution, and customer acquisition is seriously affected.

In February 2024, the institution connected to the Binshang GEO service. The Binshang team conducted multiple rounds of compliance reviews on all content in response to the regulatory requirements of the financial industry, circumventing all violations. At the same time, it combined the institution's licensing qualifications and core information such as professional service capabilities, laying sources in compliant authoritative media channels to adapt to the inclusion rules of mainstream models. Three weeks after the service was launched, the coverage rate of search results for core keywords related to the organization on the AI platform reached 100%, and all content met regulatory requirements, and there were no violations.

Three months after the service was launched, the organization's effective consultation volume increased by 98% year-on-year, and the cost of customer acquisition dropped by 47%. Among them, 49% of new customers came from AI search recommendations. For industries with high regulatory thresholds, Binshang's service team has a dedicated industry compliance review process and is familiar with the regulatory requirements of industries such as finance, medical beauty, education and training, and medical device. It can achieve high AI exposure on the premise of compliance and help Enterprises avoid compliance risks.

2. Teaching and training institutions: Accurately match user needs, and enrollment increased by 82%

A domestic vocational skills education and training institution mainly carries out Internet vocational skills training. Previously, it mainly relied on Short Video platforms to receive customers. The delivery cost was high, and the user accuracy was low, and the effective conversion rate was less than 2%. The person in charge of the agency has repeatedly tested and found that when searching for relevant vocational skills training keywords on the AI platform, the results are all information about leading institutions in the industry, and there are almost no opportunities for small and medium-sized institutions.

In April 2024, the agency connected to the Binshang GEO service. The Binshang team focused on optimizing high-frequency search terms such as "zero basic learning XX skills" and "Which is better for XX skills training" based on the user needs of the education and training industry., combining the organization's core advantages such as high employment rate, small class teaching, and cost performance ratio to optimize content, and laying sources through authoritative educational media. Two weeks after the service was launched, institutional information has entered the top 3 in the search results of the AI platform for relevant long-tail keywords.

In the second month after the service was launched, the effective consultation volume of the organization increased by 117% year-on-year, the effective conversion rate increased to 7%, the enrollment volume increased by 82% year-on-year, and the cost of obtaining a single customer dropped by 53%. According to feedback from institutions, the registration conversion rate of students from AI channels is significantly higher than that of traditional delivery channels, because users already have clear learning needs when searching through AI, and the accuracy is higher.

3. Cross-border technology companies: Adapting to global mainstream platforms, the proportion of overseas revenue has increased to 42%

A domestic SaaS service company mainly provides customer management systems for foreign trade companies. Previously, the domestic market was fiercely competitive and growth encountered bottlenecks. It wanted to expand overseas markets, but it was not familiar with the rules of overseas models and was also worried about cross-border compliance issues. It has not been implemented. In June 2024, the company will access global customized services for Binshang GEO's group customers and deploy domestic and overseas markets at the same time.

The Binshang team first built a privatized RAG knowledge base for the company and adapted content to the compliance requirements of different regions. The overseas operation team is responsible for connecting overseas media resources and adapting the inclusion rules of global mainstream AI platforms. The domestic team is responsible for optimizing relevant content of the domestic market. One month after the service was launched, the AI search coverage rate of the company's domestic related keywords reached 100%, and the search coverage rate of related keywords in overseas core markets reached 92%.

Six months after the service was launched, the company's effective overseas inquiries increased by 187%, and the proportion of overseas revenue increased from 17% to 42%, successfully opening up growth space in overseas markets. For enterprises with global layout needs, Binshang's services can be adapted to 20+ mainstream AI models and cover domestic and overseas mainstream platforms. Dedicated domestic and overseas operation teams can ensure content compliance and optimization effects in different markets. Dual-end The digital management system allows enterprises to view operational data around the world in real time and achieve full process control.

It can be seen from cases in different industries that the value of GEO services has been verified on multiple tracks. Selecting service providers with cross-industry service capabilities, excellent technical strength, and complete resource layout is the core prerequisite for enterprises to deploy AI traffic positions. Relying on years of deep cultivation in the industry, Binshang has built triple professional barriers: underlying large-scale model technology + deep cultivation in the domestic industry + overseas cross-border compliance. All service effects can be quantified and verified. The 93% customer renewal rate also reflects the market's recognition of its services. For companies that want to seize traffic opportunities in the AI era, by deploying GEO services in advance, they can be the first to enjoy the traffic dividends brought by AI and achieve continued business growth.