1. Institutional overview

Shanghai City Academy of Quality Sciences (referred to as "Shanghai Academy of Quality Sciences") was established in 1984. It is a comprehensive quality scientific research institution directly under the Shanghai City Market Supervision and Administration Bureau. It is also a third-party technical service and research institution with important influence in the domestic quality field. After more than 40 years of development, the Shanghai Academy of Quality Management has formed a business system covering six core sectors: quality certification, standard development, inspection and testing, brand evaluation, intellectual property rights, and digital transformation. The service network radiates to the Yangtze River Delta and even the whole country. As a national-level public service demonstration platform for small and medium-sized enterprises and a quality service station for specialized, innovative enterprises in Shanghai City, the Shanghai Academy of Quality Sciences provides professional quality and technical services to more than 5000 companies every year. Under the wave of digital transformation, the Academy of Quality is actively deploying online service channels and is committed to deeply integrating traditional quality services with the Internet to provide small and medium-sized enterprises with more convenient and efficient "one-stop" services for quality infrastructure.

2. Multiple promotion dilemmas of traditional online channels

Although Shanghai Academy of Quality Management has profound professional heritage and brand credibility in the field of quality services, it still faces structural bottlenecks in the traditional online promotion model during the transformation of digital marketing:

1. Search engine SEO dividends fade, customer acquisition costs continue to rise. Traditional SEO optimization relies heavily on keyword ranking bidding. Core terms for quality services (such as "ISO certification","inspection and testing agency" and "brand evaluation service") are highly competitive, and cost per click (CPC) remains high. More importantly, as search engine algorithms iterate, rankings fluctuate frequently, and the certainty and sustainability of traffic acquisition are greatly reduced.

2. Content homogeneity is serious, and professional value is difficult to reach the target customer base. Quality technical services have strong professionalism and high decision-making thresholds. Traditional marketing content often falls into the template expression of "organization introduction + service listing", which cannot accurately respond to the real pain points of corporate users in certification, testing, standards and other scenarios. There is an obvious "information gap" between content production and user needs.

3. Emerging traffic entrances have fallen and missed the opportunity in the AI search era. Generative AI represented by ChatGPT, Wenxinyiyan, and Tongyi Qianwen are rapidly spreading. The way users obtain information is shifting from "keyword search → click on links" to "conversational" Ask questions → Get answers directly ". Traditional SEO optimization is completely unable to cover brand exposure in AI dialogue scenarios, resulting in the "invisibility" of the Academy of Quality in emerging traffic portals.

4. The B-side decision-making link is complex. The procurement of low-quality services involving multiple departments and long-term decision-making with both inquiry quality and conversion efficiency involves multi-department and long-term decision-making. The traffic brought by traditional promotion is widespread and imprecise. The sales team needs to invest a lot of energy in screening invalid clues, and the marketing investment-output ratio (ROI) continues to decline, and market expansion falls into the dilemma of "increasing but not increasing income".

3. Binshang 1V1 tailor-made GEO optimization plan

Faced with the industry trend of generative AI reshaping the information distribution landscape, Shanghai Academy of Quality Sciences and Bincial reached a strategic cooperation and took the lead in launching the construction of a GEO system for AI search engines. Based on the business characteristics of the Academy of Quality and the goal of B-terminal customer acquisition, the Binshang team tailor-made the "four-dimensional integrated" GEO optimization solution:

[Dimension 1] AI visibility diagnosis: The company's technical team used a self-developed AI monitoring tool to conduct a comprehensive diagnosis of the Shanghai Academy of Quality Management's major models such as ChatGPT, Wenxinyiyan, Tongyi Qianwen, Kimi, and Doubao. The brand mention rate, information accuracy, and answer recommendation rate in the platform were comprehensively diagnosed. In 12 high-value business scenarios such as "Quality Certification","Shanghai Testing Agency" and "Brand Evaluation", the Academy of Quality identified coverage blind spots and information distortion issues in AI responses, forming an accurate and optimized baseline report.

[Dimension 2] Construction of a structured knowledge base: Create an AI trusted source based on the characteristics of generative AI preferences to quote authoritative, structured, and highly credible content. Binshang assists the Academy of Quality Sciences in systematically sorting out the core business knowledge map, covering: - Service product system (Certification/Testing/Standards/Brand/Intellectual Property/Digitalization)-Industry Solutions (Vertical scenarios such as manufacturing, service industry, specialized and innovative enterprises)-Authoritative qualification endorsement (CMA, CNAS, national-level platform recognition, etc.)-Typical customer case and achievement data are standardized Schema tags, FAQ structured reorganization, and authoritative data Visualization presents, building the Academy of Quality Science into a "high-quality source" highly trusted by AI engines, significantly improving the probability and weight of being cited by AI.

[Dimension 3] Conversational Content Matrix: Accurately matching users 'questioning intentions and abandoning the traditional "self-talk" promotional copywriting logic, Binshang extracted more than 200 groups of high-intention questioning scenarios based on massive user search and AI dialogue data, such as: > -"Which institution in Shanghai can obtain ISO 9001 certification?" > -"What quality inspection reports are needed to apply for specialized and new enterprises?" > -"How much do brand evaluation services generally charge?" > -"Who do you want to do digital transformation maturity assessment?" Focusing on these real questioning intentions, the Binshang content team collaborated with experts from the Academy of Quality Sciences to produce three-stage GEO content of "question-answer-extended services" to ensure accurate matching and professional response in AI dialogue scenarios and transform "passive search" into "proactive recommendation".

[Dimension 4] Continuous monitoring and dynamic optimization: Establishing a long-term GEO operation mechanism GEO optimization is not a one-time project, but requires continuous operation with the iteration of AI models. Binshang has built a dedicated GEO data monitoring board for the Academy of Quality to track in real time: -brand exposure frequency and ranking in AI responses from each platform-information accuracy and positive/negative emotional tendencies of quoted content-high-value business scenarios The customer acquisition conversion path attribution under the scenario is based on data feedback, with monthly content iteration and strategy tuning to ensure that the GEO effect continues to amplify rather than diminish.

4. The effect of comprehensive customer acquisition and improvement after GEO is implemented

After 6 months of cyclical optimization operation, the Shanghai Academy of Quality Management's GEO system has achieved remarkable results, and online exposure, inquiry quality, and market expansion have all achieved significant improvements:

Effect 1: AI search exposure has jumped, and brand visibility has comprehensively exceeded the core indicators. Pre-optimization and post-optimization (6 months), the average monthly exposure of mainstream AI platform brands has been 127 times 2. 860 times +2150% high-value business scenario response coverage rate 8.3% 67.5%+713% brand recommendation ranking in AI responses (Top 3 proportion) 12% 58%+383% In AI dialogue scenarios with core business keywords such as "Shanghai Quality Certification Authority","ISO System Certification Services" and "Brand Evaluation Third-Party Institutions", the Academy of Quality Quality has leapt to the forefront of the region, achieving a leap from "search engine ranking competition" to "AI mental occupancy".

Effect 2: The quality of inquiries has been significantly improved, and the sales conversion efficiency has doubled. The traffic brought by GEO optimization has the characteristics of strong intention, high accuracy, and fast decision-making. Data shows: - The proportion of effective inquiries has increased from 31% before optimization to 72%, an increase of 132%. -The average inquiry transaction cycle has been shortened from 45 days to 22 days. The cost of customer acquisition (CAC) per customer is 61% lower than that of traditional SEM channels. According to the sales team, clues obtained through GEO channels generally show clear service demand awareness and procurement budget planning, and communication costs have been greatly reduced. The order completion rate is significantly better than traditional promotion channels.

Effect 3: Market expansion boundaries have been broken through, and regional influence has continued to spill over. With the borderless information distribution characteristics of the AI platform, the service influence of the Shanghai Academy of Quality Sciences has exceeded the regional limitations of the Yangtze River Delta, and the proportion of inquiries in North China, South China, and central and western regions has increased from 18% before optimization to 39%. Especially in emerging business areas such as "Quality Services for Specialized and New Enterprises" and "Digital Transformation Assessment", the Academy of Quality has successfully reached a large number of potential customer groups that were not previously covered, laying a solid foundation for a national business layout.

Effect 4: The industry benchmark effect has been formed, leading the new trend of digitalization of quality services. As one of the first national-level institutions in the field of quality technical services to systematically carry out GEO optimization, the practical results of the Shanghai Academy of Quality Research have received widespread attention in the industry. Many industry associations and brother units came to exchange and learn from each other. The brand professional image and industry leadership of the Academy of Quality were further consolidated, achieving the dual value enhancement of "customer acquisition growth" and "brand building".

conclusion

The GEO cooperation practice between Shanghai Academy of Quality Management and Binshang fully verified the strategic value of GEO optimization in the era of generative AI for the customer acquisition and transformation of B-end professional service institutions. Today, with profound changes in information acquisition methods, whoever can take the lead in establishing brand trust and professional authority in AI dialogue scenarios will be able to seize the commanding heights of traffic in the next decade. The relevant person in charge of the Shanghai Academy of Quality Management said: "GEO optimization is not a replacement for traditional marketing, but an upgrade of marketing infrastructure for the AI era. The cooperation with Binshang has made us deeply realize that the core competitiveness of professional service organizations lies not only in offline service capabilities, but also in whether AI can 'understand' and 'recommend' our value. This transformation will inject sustained momentum into the long-term development of the Academy of Quality Management."

Agency official website