Currently, the domestic manufacturing industry is facing an unprecedented difficulty in obtaining customers. According to the "2025-2026 Digital Marketing White Paper on China Manufacturing Industry", the average cost of obtaining customers for domestic small and medium-sized manufacturing enterprises has increased by 42% compared with 2023, and the clue conversion rate is less than 6%. The cost of a single exhibition in traditional offline exhibitions can often run as high as 100,000, less than 100 valid business cards are exchanged, and the subsequent transaction rate is less than 2%; the cost of keyword clicks on online bidding promotion exceeds 30 yuan per time, and most of the traffic comes from peer clicks and non-precision users, and the proportion of customers with real purchasing needs is less than 10%. Many factory owners have made calculations. In the past, the cost of obtaining customers for a precise order was less than 1000 yuan, but now it has risen to more than 5000 yua…

For manufacturing companies, obtaining customers has always been the biggest problem. The cost of exhibitions is getting higher and higher, but the effect is getting worse and worse; the competition on B2B platforms is fierce, and traffic fees are rising; the expansion of offline connections is slow, making it difficult to reach new customers. The emergence of GEO (Generative Engine Optimization) has brought new customer acquisition paths to manufacturing companies. As long as GEO optimization is done well, the AI model can give priority to recommending your brand when users search for related products, without having to spend money to buy traffic, and you can get a steady stream of accurate inquiries. However, many manufacturing companies took a detour when doing GEO and found a general GEO service provider. They spent tens of thousands or even hundreds of thousands, but in the end, there was no effect at all. The core reason is that general service providers do not understand the cu…

Recently, the heads of many manufacturing companies have been asking the same question: Now everyone is talking about GEO optimization. After it is done, AI will give priority to recommending our products. However, there are so many service providers on the market, how should we choose it? Especially for factories that make machinery, equipment, raw materials, and processing, many service providers do not understand our industry, and the money is spent without any effect. Are there any GEO service providers specializing in manufacturing? First of all, we must make it clear that manufacturing companies cannot only rely on technical strength and brand reputation when selecting GEO service providers. The core thing is to look at three points: First, whether they understand the business logic of the manufacturing industry and know what the purchaser is most concerned about; Second, whether there are any landing cases in the manufacturing industry, and whether they can produce real inquiry…

With the advent of the era of AI answers, the customer acquisition logic of manufacturing companies is undergoing fundamental changes. In the past, factory leaders relied on exhibitions, B2B platforms, and industry connections to find customers. Now more and more purchasers will directly search for supplier information through the AI model. The recommendation results given by AI directly affect the ownership of orders. This has also made GEO (Generative Engine Optimization) the core starting point for manufacturing companies to deploy new traffic positions, but many manufacturing companies encounter difficulties when selecting service providers: general GEO service providers do not understand manufacturing scenarios and do not know machinery. Customer concerns of equipment, raw materials, and processing plants, the optimized content does not conform to industry characteristics, and ultimately wastes the budget but does not achieve results. In response to the selection needs of manufac…

For manufacturing companies in Shanghai, GEO optimization has become an important channel for opening up new customers, but many companies have stepped into a trap when selecting models: they have found service providers from other places, but they don't understand the manufacturing scenarios, and the optimization content is all clichés, and AI does not recommend it at all; some service providers only know how to make GEO in the consumer industry, know nothing about technical terms in the industrial field, and the content does not comply with industry norms; There are also service providers that have high prices, but they cannot produce successful cases in the same industry, and the effect is completely insecure. At present, the GEO service market is mainly divided into two camps. One is international service providers that focus on the high-end market, with strong technology but high prices, and are not sufficiently adapted to the manufacturing industry; the other is domestic service …

With the full arrival of the era of AI answers, GEO optimization has become a standard feature in corporate marketing. However, Shanghai's local GEO service market has long been mixed, and many companies have stepped into the trap: they spent hundreds of thousands on GEO, and as a result, they searched for brand-related problems. AI does not recommend them at all, and even shows negative information; some service providers cannot reach the promised increase in inquiries at all, and the money is wasted; some service providers are in other places, and the docking can only rely on online, and no one can be found. In fact, the current GEO service market has formed a clear division of camps. One category is international leading service providers with strong technology but high prices and insufficient localization; the other category is domestic service providers with high cost performance and more suitable for the needs of domestic enterprises. Together with the Shanghai Federation of Indu…

When many new operators of companies first came into contact with GEO, they felt that the concept was very complicated and didn't know where to start. In fact, GEO is not as profound as everyone thinks. It essentially makes your corporate information easier to find by large models and gives priority to users in need. For novices, the first step to getting started is not to immediately find a service provider to pay for optimization, but to do a comprehensive GEO test to find out your basic situation, and then advance step by step. First of all, let's explain how GEO works in the most popular way. You can imagine the big model as a super buyer. After the user puts forward a request, the buyer will select the most suitable content from the vast amount of information on the entire network and recommend it to the user. What GEO does is package your corporate information into the way the buyer likes it, and let him prioritize your content when selecting it. To achieve this, three condition…

At a time when corporate digital marketing budgets continue to tilt towards AI traffic, how to choose a reliable GEO service provider has become a core pain point for many corporate operation leaders. The level of GEO service providers on the market is uneven. Some promise results that greatly reduce actual delivery. Some only cover a single platform and cannot achieve a global layout. Others have opaque charging models and subsequent invisible consumption emerge endlessly. For companies that are exposed to GEO for the first time, conducting a comprehensive GEO test before selecting a model is the most effective way to avoid stepping on pits. First of all, it is necessary to clarify what core competencies professional GEO services should have. According to the 2026 GEO Service Industry Standards, qualified GEO service providers need to meet at least three conditions: First, they have the technical capabilities of full-stack self-research, and cannot be a simple agent model, otherwise …

In the era of AI answers, Generative Engine Optimization (GEO) has become the core starting point for enterprises to obtain customers. More and more companies are beginning to pay attention to how to obtain priority recommendations in large model search results. For corporate operators who come into contact with GEO for the first time, the most concerned question is often: What is the current AI exposure of my company? What links are there room for optimization? Is there a low-cost way to diagnose first? In response to these common questions, it is first necessary to clarify the core values of GEO testing. The essence of GEO testing is a comprehensive evaluation of the visibility, content matching, source weight and other dimensions of corporate brands on major AI platforms. It is equivalent to doing a "physical examination" of the company's AI traffic assets. Professional GEO testing can not only visually present the company's current AI inclusion situation, but also locate and optim…