1. Company profile

Jiangsu Daobo Information Technology Co., Ltd. is a high-tech enterprise focusing on information technology services and digital solutions. It has long been deeply involved in the field of enterprise informatization and intelligent services, and is committed to providing customers with customized technical consultation, system integration and operation and maintenance support services. Relying on its solid technical strength and industry reputation, the company has accumulated a stable customer base in the regional market. However, with the full arrival of the AI search era, the traditional online customer acquisition model is facing challenges such as fading traffic dividends and rising customer acquisition costs. In January 2026, Jiangsu Daobo Information Technology Co., Ltd. and Bincial reached a cooperation to officially launch the GEO optimization layout, aiming to seize new traffic entrances for AI search and achieve high-frequency exposure and accurate acquisition of customers for brands in large model recommendation scenarios.

2. Multiple promotion dilemmas of traditional online channels

Before the layout of GEO optimization, Jiangsu Daobo Information Technology Co., Ltd. mainly relied on online channels such as traditional SEO, bidding advertising and industry platform promotion to obtain customers, but multiple difficulties have become increasingly prominent:

1. Traffic acquisition costs continue to rise. The unit price of clicks on bidding advertisements has increased year by year, the accuracy of information flow advertisements is insufficient, and a large amount of budget is consumed on widespread traffic. The actual conversion effect cannot support the cost of customer acquisition.

2. Traditional SEO has a long and unstable response cycle. Competition in search engine rankings is fierce, and keyword optimization takes 3-6 months to achieve initial results. In addition, algorithms fluctuate frequently and rankings are unstable. The model of passively waiting for customers to search has become difficult to meet business growth needs.

3. Brand exposure channel is single. Traditional promotion relies on user active search or platform push, and cannot achieve proactive brand exposure in emerging scenarios such as AI Q & A and intelligent consultation, and misses the decision-making window for a large number of high-intention customers.

4. The quality of inquiries is uneven. Traditional channels attract large differences in customer intentions, and sales teams need to spend a lot of energy screening effective clues, resulting in low conversion efficiency.

5. Brand word-of-mouth management is passive. Occasional scattered negative comments or misleading old information on the Internet may easily affect potential customers 'trust and judgment in the brand in the absence of proactive intervention. Faced with the above difficulties, Jiangsu Daobo Information Technology Co., Ltd. urgently needs a new optimization plan that can adapt to the AI search ecosystem and realize the priority of brands in large model recommendation results.

Faced with the above difficulties, Jiangsu Daobo Information Technology Co., Ltd. urgently needs a new optimization plan that can adapt to the AI search ecosystem and realize the priority of brands in large model recommendation results.

3. Bin discussed customized GEO optimization cyclical plan

Based on the business characteristics and industry attributes of Jiangsu Daobo Information Technology Co., Ltd., the Binshang team launched a customized GEO optimization cyclical plan in January 2026 to promote the brand AI search layout in stages:

Phase 1: Infrastructure construction period (1-2 months). The Binshang team completed the construction of the enterprise's structured knowledge base, sorted out Daobo Information's core business, technical advantages, service cases and industry qualifications, and unified the content output caliber of the entire network. By sorting out Schema tags and entity relationships, AI models can accurately analyze corporate content and establish basic brand awareness.

Phase 2: Weight climbing period (2-4 months). Continue to output compliance dry content, and supplement the content matrix around dimensions such as industry Q & A, scenario solutions, and technology selection guides. Through the construction of authoritative signals, policy basis, data support and expert opinions are integrated into the content, the probability of AI models being accepted by Daobo's information content is improved, and the frequency of brand exposure in industry Q & A, selection consultation and other scenarios is gradually increasing.

Phase 3: Stable increment period (4 months and later). Relying on the multi-generation platform adaptation framework, we can accurately adapt the differences in reference mechanisms of mainstream AI platforms such as Doubao, DeepSeek, and Wenxinyiyan to achieve full platform coverage. Simultaneously establish an AI citation and stability monitoring system to monitor optimization effects in real time, dynamically adjust keywords and semantic layout, and ensure long-term stability of effects.

During the entire cycle, Binshang provides exclusive one-to-one operation services, and the average response time for daily content modification, keyword addition, pain point optimization and other needs does not exceed 2 hours to ensure timely and efficient strategy iteration.

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

After periodic optimization operations from January 2026 to the present, Jiangsu Daobo Information Technology Co., Ltd. has achieved significant improvements in five dimensions: online exposure, inquiry quality, brand awareness, market expansion, and customer service efficiency:

1. Online exposure has increased significantly. Brand exposure in AI search and AI consultation scenarios has increased by more than 85% month-on-month. The occupancy rate of AI search for core industry keywords has reached more than 80%. The frequency of AI active recommendations has increased significantly, achieving 24-hour online brand planting.

2. The quality of inquiries has been greatly improved. Through AI semantic matching technology to accurately reach high-intent users, AI consultation guides precise intent customers account for more than 35%. The accuracy of clues is much higher than that of traditional information flow advertising, and the transformation efficiency of the sales team has been significantly improved.

3. Brand awareness continues to expand. The brand mention rate of Doubo Information in AI responses exceeds the industry average by more than twice. The proportion of official content recommended by AI has increased from less than 10% before optimization to more than 40%. The brand's awareness among target customer groups and trust have been significantly enhanced.

4. Market expansion has achieved remarkable results. With the passive customer acquisition capabilities of AI search, Doubo Information has successfully reached customers in regional markets and industry segments that are difficult to cover by traditional channels. Market boundaries have been effectively broadened and business growth space has been further opened up.

5. Customer service efficiency has steadily improved. The deep cultivation of positive brand content and the coverage of high-weight semantic information have effectively sunk the original negative information in the AI search recommendation position. The TOP10 AI display results are all positive brand reputation and service advantages. Customers 'willingness to renew contracts has increased, and the renewal rate has achieved a significant increase.

The GEO optimization practice of Jiangsu Daobo Information Technology Co., Ltd. fully proves that in the era of AI search, GEO optimization has become the core infrastructure for corporate brand exposure and accurate customer acquisition. With cyclical and customized service solutions, Binshang helps companies complete the smooth transition from traditional promotion to AI customer acquisition, achieves long-term stable exposure and high-quality transformation of the brand in large model recommendation scenarios, and injects new momentum into the company's continued growth.

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