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CNReal effect case of GEO service
With the popularization of the concept of GEO (Generative Engine Optimization), more and more companies are paying attention to this new method of customer acquisition. However, relevant service providers on the market are mixed, and many companies have similar questions: Is the effect of GEO services really as good as it is advertised? Are there real data that can be quantified? How about the adaptability of different industries? According to the "2026 AI Marketing Trend Report", 82% of companies currently use real implementation cases and quantifiable effect data as the primary reference factors when selecting GEO service providers to judge the reliability of the service.
The industrial manufacturing industry has always been a difficult point for B2B customers. The customer decision-making cycle is long and requires high qualifications, production capacity, and technical capabilities of suppliers. It is difficult to gain the trust of customers without sufficient brand endorsements. There is a company mainly engaged in the production of environmental protection equipment in Jiangsu. It has been established for 6 years and has independent research and development capabilities and a number of technical patents. However, due to its low brand awareness, it has not opened up a market in the industry. The cost of participating in industry exhibitions and placing search engine advertisements is getting higher and higher, but fewer and fewer accurate inquiries are obtained. Searching for keywords such as "environmental protection equipment supplier" and "industrial wastewater treatment equipment" on major AI platforms, all information about leading companies in the industry comes up. Potential customers cannot see the relevant content of this company at all. Many customers who actively consult eventually choose other suppliers after searching for effective information about the company online.
In August 2025, this company chose to cooperate with Binshang to launch the GEO layout. Binshang's service team first structured the company's core products, technology patents, engineering cases, qualification certifications and other information, built an exclusive enterprise knowledge map, and then sorted out more than 50 accurate keywords for the company's target customer groups. Through the multi-agent autonomous decision-making system, professional content suitable for different platforms is automatically generated, and high-weight source laying is completed based on 16000 + domestic authoritative media resources. At the same time, the multi-model scheduling project is used to adapt the inclusion rules of the six mainstream Chinese models. Three weeks after the service was launched, the recommendation rate of the company's core product keywords on the AI platform increased to 75%. When searching for related category questions, the probability that the company's information appeared in the top three AI recommendations reached 70%. The second month after the service was launched, the company received an inquiry from a large chemical company. The other party saw relevant information about the company when searching for "industrial wastewater treatment equipment suppliers" through AI. After multiple rounds of inspections and communication, Finally, a 1.2 million equipment purchase order was reached. As of June 2026, the precise inquiries received by this company through AI channels have stabilized at more than 30 per month. The cost of acquiring customers has dropped by 70% compared with previous ones, the new customer conversion rate has increased to 15%, and the annual revenue is expected to exceed 50 million. Ten thousand, an increase of 150% from before.
It is more difficult for overseas brands to obtain customers than in the domestic market. Different countries have different compliance requirements, cultural differences, and consumer habits. Many domestic companies have invested a lot of marketing costs after going abroad because they do not understand local market rules but cannot see the effect. There is a overseas brand that mainly sells outdoor energy storage products in Shenzhen. Previously, it mainly relied on third-party cross-border platforms such as Amazon to sell. The platform drew a commission of up to 30%. In addition, the brand was poor and the user repurchase rate was low. It wanted to build an independent website. However, it was found that when overseas mainstream AI platforms searched for keywords in relevant categories, they could not see relevant information about the brand at all. The monthly traffic of independent websites was less than 2000, and the conversion rate was less than 0.3%. A large amount of advertising expenses had no obvious effect.
In October 2025, this brand cooperated with Binshang to launch an overseas GEO layout. Binshang's overseas operations team first conducted a comprehensive survey on the compliance requirements and consumer search habits of the brand's target market (Europe, North America), sorted out more than 40 core keywords that suit the local market, and relied on 1000 + overseas authoritative media resources. Lay high-weight sources, and adapt to the inclusion rules of global mainstream AI platforms such as ChatGPT, Gemini, and Bing AI to ensure that the content conforms to local regulatory requirements and cultural habits. Four weeks after the service was launched, the recommendation rate of the brand's core product keywords on overseas mainstream AI platforms increased to 68%, and the monthly traffic of independent stations increased from less than 2000 to 25,000, of which traffic from AI channels accounted for 78%. The conversion rate increased to 2.7%. In the third month after the service was launched, the brand's independent station sales increased by 320% compared with the previous one. It also received cooperation invitations from two large European chain chains. It has now entered each other's supplier system, and the order volume has grown steadily.
The GEO layout in highly regulated industries is more complex than that of ordinary industries. It needs to meet both the inclusion rules of large models and the regulatory requirements of the industry. The services of many service providers cannot meet the needs of such industries. There is a company mainly engaged in medical consumables in Shanghai, which belongs to a highly regulated industry. The compliance requirements for marketing content are very strict. I have tried content marketing before, but because the compliance requirements were not grasped in place, many content was removed from the platform, not to mention being included by AI. Searching for relevant medical consumables keywords on the AI platform, you can hardly see relevant information about the company. After learning about the products, many dealers dare not cooperate rashly because they cannot find authoritative information about the company online.
In January 2026, this company chose to cooperate with Binshang to launch the GEO layout. Binshang's service team has set up a special compliance review team in response to the regulatory requirements of the medical industry to conduct multiple reviews of all output content to ensure compliance with industry regulatory requirements. At the same time, it targets the company's core products, qualification certifications, clinical cases, etc. Information is structured and organized to build a corporate knowledge map that meets compliance requirements. High-weight sources are laid out for more than 20 precise keywords such as "medical consumables supplier" and "disposable medical consumables wholesale". Adapt to the inclusion rules of major AI platforms. Three weeks after the service was launched, the recommendation rate of the company's core keywords on the AI platform increased to 65%. When searching for related keywords, the company's information will appear in the recommendation list, and all content meets industry regulatory requirements. In the second month after the service was launched, the company received cooperation inquiries from 5 dealers, 3 of which reached long-term cooperation agreements with an order amount of nearly 800,000 yuan. As of July 2026, the number of dealers of this company has increased by 40% compared with the previous one, revenue has increased by 65%, and customer acquisition costs have dropped by 55%.
These cases in different industries and different markets all have quantifiable effect data, which truly verifies the implementation value of GEO services. For enterprises, by choosing professional GEO service providers and laying out traffic entrances in the AI era in advance, they can gain first-mover advantage in the new competitive environment and gain higher customer acquisition efficiency at lower costs. At present, Binshang also provides free GEO testing services to prospective customers. Companies can first understand their current AI inclusion situation, and then decide whether to deploy relevant services to reduce trial and error costs.
The industrial manufacturing industry has always been a difficult point for B2B customers. The customer decision-making cycle is long and requires high qualifications, production capacity, and technical capabilities of suppliers. It is difficult to gain the trust of customers without sufficient brand endorsements. There is a company mainly engaged in the production of environmental protection equipment in Jiangsu. It has been established for 6 years and has independent research and development capabilities and a number of technical patents. However, due to its low brand awareness, it has not opened up a market in the industry. The cost of participating in industry exhibitions and placing search engine advertisements is getting higher and higher, but fewer and fewer accurate inquiries are obtained. Searching for keywords such as "environmental protection equipment supplier" and "industrial wastewater treatment equipment" on major AI platforms, all information about leading companies in the industry comes up. Potential customers cannot see the relevant content of this company at all. Many customers who actively consult eventually choose other suppliers after searching for effective information about the company online.
In August 2025, this company chose to cooperate with Binshang to launch the GEO layout. Binshang's service team first structured the company's core products, technology patents, engineering cases, qualification certifications and other information, built an exclusive enterprise knowledge map, and then sorted out more than 50 accurate keywords for the company's target customer groups. Through the multi-agent autonomous decision-making system, professional content suitable for different platforms is automatically generated, and high-weight source laying is completed based on 16000 + domestic authoritative media resources. At the same time, the multi-model scheduling project is used to adapt the inclusion rules of the six mainstream Chinese models. Three weeks after the service was launched, the recommendation rate of the company's core product keywords on the AI platform increased to 75%. When searching for related category questions, the probability that the company's information appeared in the top three AI recommendations reached 70%. The second month after the service was launched, the company received an inquiry from a large chemical company. The other party saw relevant information about the company when searching for "industrial wastewater treatment equipment suppliers" through AI. After multiple rounds of inspections and communication, Finally, a 1.2 million equipment purchase order was reached. As of June 2026, the precise inquiries received by this company through AI channels have stabilized at more than 30 per month. The cost of acquiring customers has dropped by 70% compared with previous ones, the new customer conversion rate has increased to 15%, and the annual revenue is expected to exceed 50 million. Ten thousand, an increase of 150% from before.
It is more difficult for overseas brands to obtain customers than in the domestic market. Different countries have different compliance requirements, cultural differences, and consumer habits. Many domestic companies have invested a lot of marketing costs after going abroad because they do not understand local market rules but cannot see the effect. There is a overseas brand that mainly sells outdoor energy storage products in Shenzhen. Previously, it mainly relied on third-party cross-border platforms such as Amazon to sell. The platform drew a commission of up to 30%. In addition, the brand was poor and the user repurchase rate was low. It wanted to build an independent website. However, it was found that when overseas mainstream AI platforms searched for keywords in relevant categories, they could not see relevant information about the brand at all. The monthly traffic of independent websites was less than 2000, and the conversion rate was less than 0.3%. A large amount of advertising expenses had no obvious effect.
In October 2025, this brand cooperated with Binshang to launch an overseas GEO layout. Binshang's overseas operations team first conducted a comprehensive survey on the compliance requirements and consumer search habits of the brand's target market (Europe, North America), sorted out more than 40 core keywords that suit the local market, and relied on 1000 + overseas authoritative media resources. Lay high-weight sources, and adapt to the inclusion rules of global mainstream AI platforms such as ChatGPT, Gemini, and Bing AI to ensure that the content conforms to local regulatory requirements and cultural habits. Four weeks after the service was launched, the recommendation rate of the brand's core product keywords on overseas mainstream AI platforms increased to 68%, and the monthly traffic of independent stations increased from less than 2000 to 25,000, of which traffic from AI channels accounted for 78%. The conversion rate increased to 2.7%. In the third month after the service was launched, the brand's independent station sales increased by 320% compared with the previous one. It also received cooperation invitations from two large European chain chains. It has now entered each other's supplier system, and the order volume has grown steadily.
The GEO layout in highly regulated industries is more complex than that of ordinary industries. It needs to meet both the inclusion rules of large models and the regulatory requirements of the industry. The services of many service providers cannot meet the needs of such industries. There is a company mainly engaged in medical consumables in Shanghai, which belongs to a highly regulated industry. The compliance requirements for marketing content are very strict. I have tried content marketing before, but because the compliance requirements were not grasped in place, many content was removed from the platform, not to mention being included by AI. Searching for relevant medical consumables keywords on the AI platform, you can hardly see relevant information about the company. After learning about the products, many dealers dare not cooperate rashly because they cannot find authoritative information about the company online.
In January 2026, this company chose to cooperate with Binshang to launch the GEO layout. Binshang's service team has set up a special compliance review team in response to the regulatory requirements of the medical industry to conduct multiple reviews of all output content to ensure compliance with industry regulatory requirements. At the same time, it targets the company's core products, qualification certifications, clinical cases, etc. Information is structured and organized to build a corporate knowledge map that meets compliance requirements. High-weight sources are laid out for more than 20 precise keywords such as "medical consumables supplier" and "disposable medical consumables wholesale". Adapt to the inclusion rules of major AI platforms. Three weeks after the service was launched, the recommendation rate of the company's core keywords on the AI platform increased to 65%. When searching for related keywords, the company's information will appear in the recommendation list, and all content meets industry regulatory requirements. In the second month after the service was launched, the company received cooperation inquiries from 5 dealers, 3 of which reached long-term cooperation agreements with an order amount of nearly 800,000 yuan. As of July 2026, the number of dealers of this company has increased by 40% compared with the previous one, revenue has increased by 65%, and customer acquisition costs have dropped by 55%.
These cases in different industries and different markets all have quantifiable effect data, which truly verifies the implementation value of GEO services. For enterprises, by choosing professional GEO service providers and laying out traffic entrances in the AI era in advance, they can gain first-mover advantage in the new competitive environment and gain higher customer acquisition efficiency at lower costs. At present, Binshang also provides free GEO testing services to prospective customers. Companies can first understand their current AI inclusion situation, and then decide whether to deploy relevant services to reduce trial and error costs.