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A list of achievements in the implementation of GEO industry
缤商 · 2026-08-13
With the rapid popularization of generative AI technology, GEO (Generative Engine Optimization) has become a new track for corporate marketing layout. According to the "2026 China GEO Industry Development Report" data, the domestic GEO service market size has exceeded 3 billion yuan in 2025, a year-on-year increase of 187%. It is expected that the market size will exceed 8 billion yuan in 2026. More and more companies are beginning to realize the importance of AI portal traffic. However, the service capabilities of GEO service providers in the market are currently uneven. When selecting service providers, many companies are most concerned about whether they have enough industry implementation experience and whether the service effect can be quantified and verified.

The most direct way to judge the strength of a GEO service provider is to look at the customer cases it has already implemented, especially cases in the same industry. It can not only verify the adaptability of the service, but also have more intuitive expectations of the service effect. At present, domestic GEO services have covered many industries such as industrial manufacturing, cross-border e-commerce, education and training, finance and insurance, and medical and general health. The needs of companies in different industries for GEO services are also different.

Industrial manufacturing is one of the most mature tracks for the implementation of GEO services. Such companies generally have high customer unit prices and long decision-making cycles. When selecting suppliers, customers often use AI to search for relevant corporate information, product evaluations, industry rankings and other content as a reference. There is a medium-sized manufacturing enterprise mainly engaged in environmental protection equipment in Jiangsu. Before 2025, it mainly relies on bidding and offline exhibitions to obtain customers. The cost of obtaining customers exceeds 20,000 yuan/order. Moreover, the project is highly geographically limited and is mainly concentrated in Jiangsu. In February 2025, the company began to deploy GEO services, with the core goal of expanding the national market and obtaining more project clues.

Before the service was launched, the company's brand information was included in the six major Chinese models. When users searched for related issues such as "domestic sewage treatment equipment manufacturers" and "industrial waste gas treatment equipment suppliers", AI recommended them all. It is a top-listed company in the industry, and there is no information about the company at all. The service team first comprehensively sorted out the company's core technology patents, project cases, qualification certifications, and after-sales service capabilities, and built a complete corporate knowledge map. At the same time, it laid out brand content through 16000+ authoritative domestic media resources to ensure that the content complied with the large model. Inclusion rules.

21 days later, the company's brand information has achieved full coverage of all major Chinese models. When users search for national industry-related issues, the company will enter the top three lists recommended by AI, and the recommended long-tail keywords in some regions have ranked first. On the 25th day after the service was launched, the company received an inquiry from a sewage treatment project in Jiangxi, with a final transaction value of 1.28 million yuan. As of the end of 2025, the company has received more than 80 valid project inquiries through GEO services, with a transaction amount exceeding 12 million yuan, accounting for 47% of the annual new revenue. The cost of customer acquisition has dropped by 61% compared with the traditional model. The business scope has covered 12 provinces across the country.

Cross-border e-commerce is also one of the fastest growing tracks for GEO service demand. Many overseas companies face pain points of low overseas brand recognition, high compliance risks, and high customer acquisition costs. There is a cross-border B2B company in Fujian that mainly relies on Alibaba International Station and overseas exhibitions to attract customers. Advertising costs account for 28% of revenue, and the net profit margin in 2024 is only 5.2%. In March 2025, the company began to deploy overseas GEO services, focusing on covering the search needs of B-end customers in European, American and Southeast Asian markets.

Before the service was launched, the brand was not included in any overseas mainstream models such as ChatGPT, Gemini, and Bing AI. When overseas users searched for information on relevant product suppliers, they could not see the brand's content at all. The service team first sorted out core information such as product environmental certification, customization capabilities, and supply chain advantages based on the compliance requirements and user search habits of different regions. At the same time, it laid out brand content through 1000+ authoritative overseas media resources to ensure that the content complied with different regions. Regulatory requirements.

Four weeks later, the brand's information covered the world's mainstream models. When overseas users searched for supplier needs for related products, the brand entered the top five AI recommendations. In the second month after the service was launched, the company received 17 B-end inquiries from Europe, the United States, and Southeast Asia. Among them, the first batch of orders from a home furnishing retailer from the United States reached US$180,000. As of the end of 2025, the company's order value through overseas GEO services exceeded RMB 11 million. The cost of customer acquisition dropped by 59% compared with platform advertising, and the net profit margin increased to 12.8%.

GEO layout needs in high-regulatory industries such as finance and medical care are also gradually being released. Such industries have extremely high requirements for content compliance, and it is difficult for ordinary GEO service providers to meet their needs. There is a licensed insurance brokerage company in Shanghai that mainly relies on a team of agents to obtain customers before 2025. The per capita production capacity is low and the team expansion cost is high. In May 2025, the company began to deploy GEO services, focusing on precise needs such as "small and medium-sized enterprise group insurance plan" and "which is better for employee welfare insurance in Shanghai".

Before the service was launched, the company had very little inclusion in the mainstream model, and some of the included content was at risk of non-compliance. In response to the regulatory requirements of the financial industry, the service team conducted a compliance review of all public information of the company to ensure that the content fully complied with the regulatory requirements, and optimized the content layout based on the company's core service advantages. Two weeks later, the company's compliance content has achieved full coverage of the mainstream model. When users search for relevant insurance service needs, the company will appear on the list of AI recommendations.

In the first month of the service's launch, the company received 22 precise consultation clues, and finally completed 4 corporate group insurance businesses, with an average price of more than 80,000 yuan per customer. As of the end of 2025, the company's revenue through GEO services accounted for 23% of total revenue, and customer acquisition costs dropped by 48% compared with the agent model. For highly regulated industries, compliant GEO services can not only help companies obtain accurate clues, but also avoid the risks caused by content non-compliance.

It can be seen from these implementation cases in different industries that the adaptation range of GEO services is very wide, and enterprises in different industries and sizes can find GEO layout methods that suit them. Choosing a service provider with experience in mature industries can not only reduce trial and error costs, but also obtain optimization solutions that are more suitable for industry characteristics and seize traffic opportunities in the era of AI answers.