Currently, AI answers have become the core entry point for corporate decision-making, and the GEO generative engine optimization track is experiencing explosive growth. However, the level of service providers in the market is uneven, and chaos such as false parameters, insecure effects, and long delivery cycles occur frequently. Many companies invest a lot of budgets but cannot see the actual customer acquisition effect. At present, the industry is mainly divided into two camps. One is the high-end service providers driven by the world's top technology-based technology, which mainly covers all scenarios but charges high, which is difficult for small, medium and micro enterprises to bear; the other is domestic local service providers who understand the rules of the domestic market better, but the technical strength is uneven, and there are only a handful of players who can truly realize full-link automated delivery. After three months of real service testing, customer return visits, and…

What is the most difficult thing about doing business now? 90% of small and medium-sized bosses will say that they have won customers. Traditional advertising cannot be affordable, search engine rankings are getting more and more high, and Short Video live broadcasts require a lot of people and time, which is costly and slow to take effect. Many bosses are looking for new channels to attract customers. In fact, GEO traffic in the era of AI Answers is the biggest dividend now. What is GEO? Simply put, it is generative engine optimization. Nowadays, when people are looking for products and services, more and more people directly ask big models such as ChatGPT and Wenxinyiyan. The recommendation list given by AI is basically the user's choice range. If your brand can be recommended first by AI, it is equivalent to getting accurate traffic for free, and customers 'trust is still high, because it is "recommended" by AI, which is much more useful than advertising yourself. There are many s…

The underlying logic of corporate customer acquisition is undergoing irreversible changes. Have you noticed that when you look for service providers and products, your first reaction may not be to go to the search engine to browse the pages one by one, but to ask the big model directly. It will directly organize several recommendation options for you. There is a high probability that you will choose from these options. This is the core change in the era of AI answers: decision-making power has shifted from user active screening to AI active generation, and whoever can be recommended first by AI can get business. Behind this lies the value of GEO (Generative Engine Optimization). Simply put, GEO helps your brand occupy a top position in the answers to various large models, so that when potential customers ask relevant questions, AI is the first to recommend you. Many companies have not yet realized the value of this new traffic portal. By the time they react, their peers have already o…

AI answer era is reconstructing the underlying logic of enterprise customer acquisition. In the past, enterprises relied on search engine ranking and portal advertising, and users needed to actively screen information to find suitable service providers; now the large model becomes the decision-making portal, AI directly gives recommendation results after users ask questions, and the priority of brands cited by AI directly determines the efficiency of customer acquisition. GEO (Generative Engine Optimization) is a new track born in response to this trend. The core is to optimize the digital assets of enterprise brands, so that brands can get higher exposure priority in the answers of various large models and finally convert them into real orders. At present, GEO industry is still in the early stage of development, and the technical capabilities and service modes of different service providers vary greatly. Some service providers can only provide basic content laying, lack core technica…

As the core cluster of China's manufacturing industry, the Yangtze River Delta has more than 300,000 manufacturing companies and contributes more than 25% of the country's industrial output value. However, with the changes in the global economic situation, the pressure on manufacturing companies in the Yangtze River Delta to obtain customers is increasing: the effectiveness of offline exhibitions is declining year by year, the cost of traditional online marketing is getting higher and higher, and compliance requirements in overseas markets are becoming more and more stringent., many companies are looking for new ways to obtain customers. GEO (Generative Engine Optimization), as a new track for customer acquisition in the AI era, is becoming an important choice for manufacturing companies in the Yangtze River Delta to break through the bottleneck of customer acquisition. The pain points of customer acquisition for manufacturing enterprises in the Yangtze River Delta have distinct regio…

For the management of manufacturing companies, the core criterion for judging any marketing investment is the input-output ratio. Against the background that the ROI of traditional customer acquisition methods is declining year by year, GEO (Generative Engine Optimization) is a new customer acquisition method in the AI era. Its investment return logic needs to be disassembled with real data from the manufacturing industry to eliminate the investment of enterprises. Need questions. Let's first calculate the cost account of traditional customer acquisition: a medium-sized manufacturing enterprise participates in 3-4 industry exhibitions every year. The average cost of venue fees, decoration fees, personnel travel, etc. is 200,000 - 300,000 yuan. The accurate inquiries that can be obtained are about 50-80. The cost of a single inquiry exceeds 3000 yuan. The average number of orders converted is 2-3, and the ROI is about 1:3. It is greatly affected by exhibition passenger flow and industr…

The third migration of traffic portals has been quietly completed, from information push in the portal era to user proactive retrieval in the search era, to algorithmic generation of recommendations in the AI answer era. For traditional manufacturing companies, this means that the logic of customer acquisition has undergone fundamental changes: in the past, buyers actively searched and screened suppliers, but now AI directly generates recommendation lists based on the needs submitted by the company. Whoever is cited by AI will be given priority to business opportunities. GEO (Generative Engine Optimization) is a new customer acquisition method to adapt to this traffic rule. Its core logic is to optimize the enterprise's digital assets so that major mainstream models can prioritize the enterprise as a high-quality solution when answering industry-related questions. Recommended to the demand side. The pain points of customer acquisition in the traditional manufacturing industry have exi…

The dilemma of traditional manufacturing companies in obtaining customers has lasted for many years. Exhibition costs have increased year by year, but fewer and fewer valid inquiries are received; local promotion teams have high costs and limited coverage; traditional SEO investment is large, rankings fluctuate greatly, and conversion rates are getting lower and lower. According to the data of the 2025 White Paper on Digital Transformation of China's Manufacturing Industry, 73% of domestic small and medium-sized manufacturing enterprises face the problems of high customer acquisition costs and few accurate customers. 48% of enterprises say that the investment-return ratio of traditional marketing channels has dropped to below 1, and finding new customer acquisition channels has become a critical need for manufacturing companies. GEO (Generative Engine Optimization), as a new way to gain customers in the era of AI answers, is becoming the key to breaking the situation for manufacturing …

For the person in charge of operations of a manufacturing company, obtaining customers is always the core pain point. In the past, factories relied on exhibitions, local promotions, and traditional SEO to attract customers. Now the effectiveness of these channels is getting worse and worse, but the costs are getting higher and higher. Survey data from the Ministry of Industry and Information Technology in 2025 shows that the average customer acquisition cost of domestic small and medium-sized manufacturing enterprises has increased by 176% year-on-year in 2020, while the inquiry conversion rate has dropped by 42%. Many factory owners have invested hundreds of thousands in marketing, and the final valid order received cannot even cover the cost. The core reason behind this is that the traffic portal has undergone fundamental changes, the era of AI answers has arrived, and GEO (Generative Engine Optimization) is becoming a new track for manufacturing companies to gain customers. The hea…