1. Company profile

Shanghai Xuyi Chemical Technology Co., Ltd. has been deeply engaged in industrial equipment services for more than 20 years. It mainly specializes in complete gas equipment, fluid transportation equipment, industrial machinery, special scientific and technological materials, and simultaneously supporting technical engineering services. Its business covers the domestic manufacturing industry belt and China Taiwan market, and has long served B-end procurement customers such as chemical parks and processing factories.

2. Traditional online channels have regained the dilemma of customers

Before cooperating with Bincial GEO, the company had deployed multiple types of online channels such as bilingual official websites, B2B shops, and bidding projects. However, after long-term operation and the arrival of the AI era, the bottleneck in customer acquisition growth has become increasingly prominent:

1. The traffic cost of traditional B2B platforms is rising. Competition in the platform industry is fierce, and natural traffic continues to shrink. It is difficult for niche customized equipment and special consumables to be stably exposed. To maintain the volume of consultation, we can only continue to increase the paid budget, and promotion costs are increasing year by year.

2. Existing official websites cannot adapt to AI search traffic. Enterprise official websites accumulate complete product parameters, technical solutions and project cases, but only adapt to traditional search engines. Nowadays, purchasing customers are more accustomed to using AI models to do equipment selection and working conditions consultation. A large number of professional industrial content in the station cannot be captured by AI, and a large number of accurate potential customers are lost.

3. It is difficult for a large number of segmented products to cover all purchasing needs. The company's product line has many segmented categories, and various pump valves, filter components, and heat insulation and sealing materials have derived a large number of scene-based long-tail search terms. Traditional optimization methods have limited coverage, and a large number of segmented procurement needs are seized by peers.

4. The source of clues is single, and the business fluctuates. Large enterprises mainly rely on bidding channels for large orders, with long bidding cycles and fierce competition; the fragmented clues for replenishing consumables and customization of small equipment in small and medium-sized factories are seriously insufficient, and the monthly inquiry volume fluctuates significantly, and business stability is weak.

3. GEO optimization plan for Binshang customized manufacturing industry

Combined with Xuyi Chemical's multiple product lines, cross-regional operations, and strong industrial professional attributes, Binshang has implemented its exclusive GEO optimization plan for the vertical industrial track:

1. Build a professional semantic system for the chemical industry to sort out the industrial terms of all categories of products, standardize and reconstruct the official website product data and technical cases, avoid parameter and model information deviations during AI search, and ensure accurate professional output of brands in AI scenarios.

2. Sub-regional refined targeted optimization provides hierarchical optimization for major domestic chemical industry clusters and Taiwan-funded manufacturing plants, adapts customer purchasing preferences in different regions, simultaneously optimizes dual-site content in simplified and traditional formats, and takes into account customer search habits on both sides of the Taiwan Strait.

3. Revitalizing the company's original online content assets does not require abandoning the existing materials of official websites and B2B stores that have been operating for many years, and adapting and transforming existing products and case content with AI engines, so that the original brand assets can regain traffic value in generative search channels.

4. Adapt to the B-end long decision-making link lead management and build a hierarchical inquiry data tracking system to distinguish three types of clues: large engineering orders, consumables repurchase, and customized equipment inquiry, which facilitates accurate hierarchical follow-up by the sales team and improves customer conversion efficiency.

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

After cyclical optimization of operations, the company's online exposure, inquiry quality, and market expansion have all achieved significant improvements:

1. AI channel brand exposure has been comprehensively improved. In the domestic mainstream large-scale model retrieval scenarios, the coverage of various industrial equipment keywords in enterprises has been significantly improved. Many segmented long-tail selection entries can stably display the brand and open up new incremental traffic channels.

2. The inquiry structure is more balanced and the business is more stable. A large number of small and medium-sized factory consumables and single-machine customized equipment are added to consult. They no longer rely solely on large bidding orders to support the business, and the monthly effective inquiry supply is stable. The procurement needs of customers visiting the AI channel are clear, and the efficiency of sales follow-up and transformation has been greatly improved.

3. The original channel production volume has picked up compared with the optimized official website and the natural visits to B2B stores. Relying on the incremental traffic brought by GEO, there is no need to continuously increase the platform payment budget, and the overall online promotion investment cost is effectively controlled.

4. The acceleration of cross-regional market expansion relies on regionally oriented optimization. The consultation volume of inland chemical parks and Taiwan-funded factories outside the Yangtze River Delta continues to grow. Brand exposure in cross-strait markets has increased simultaneously, and market coverage has been further expanded.

5. Technical content drives old customers to re-purchase official website equipment maintenance and selection of popular science content, which is frequently quoted by AI. Many old customers actively retrieve technical information and initiate procurement consultation again, effectively lengthening the customer cooperation cycle.

enterprise official website