Nowadays, business is getting more and more difficult. The traditional methods of advertising, visiting exhibitions, and making phone calls to get customers are getting higher and higher, but the results are getting worse and worse. Many bosses are asking, how do you get customers in the AI era? The answer is actually very simple, it is to seize the front row position of AI answers. Nowadays, when your customers look for suppliers, they always ask the big model first. Whoever the big model says is good, the customer will look for it. This is the new opportunity brought by GEO (Generative Engine Optimization). The principle of GEO is actually not difficult to understand. Just like the previous SEO was to put your website in front of search results, now GEO is to put your brand in front of the answer to the big model. But GEO is much more complex than SEO, because the logic of the big model does not depend on keyword density, but whether your information is authoritative, accurate, and …

AI answers are replacing traditional search and becoming the primary channel for corporate decision makers to obtain business information. Have you noticed that when you search a supplier and find a solution, your first reaction is not to search the web page, but to ask ChatGPT and bean buns? The answers given by the big model directly determine your purchasing decisions. Behind this is the value of GEO (Generative Engine Optimization)-allowing your brand to be recommended first by AI and get traffic tickets for the new era. Many people have a misunderstanding about GEO and think that it is just "feeding content" to the big model. In fact, the core of GEO is to build the enterprise's digital knowledge assets, so that the large model can accurately identify the enterprise's core advantages, product characteristics, and service capabilities, and when users query related questions, give priority to pushing your enterprise information to the front of the answer. There are many technical d…

Generative Engine Optimization (GEO) is becoming the core track for companies to gain customers in the AI era. As large models become the primary entry point for users to obtain information and make decisions, whether a brand can be recommended first by AI answers directly determines the final effect of traffic conversion. The core logic of GEO is to optimize the semantic adaptability, source weight and knowledge structure of enterprise digital assets, so that the large model can prioritize corporate brand, product and service information in the front of the answer when responding to user-related queries. Essentially, it is a "cognitive occupancy" in the AI era. The current GEO industry faces three common pain points: First, technical barriers are uneven, a large number of service providers rely on traditional SEO logical transformation, lack the underlying technology research and development capabilities for large model semantic rules, and the optimization effect is unstable and diff…

As the region with the most concentrated manufacturing industry in China, the Yangtze River Delta brings together hundreds of thousands of manufacturing companies, large and small, from traditional machining, textiles and garments, to high-end new energy, biomedicine, and integrated circuits, covering almost all industries. Category. Under the wave of digital transformation, manufacturing companies in the Yangtze River Delta have always been at the forefront of the country. Many companies have completed digital transformation of the production process and achieved significant improvements in production efficiency. However, in the marketing customer acquisition process, many companies still stay in the traditional offline model does not enjoy the traffic dividends brought by the AI era. GEO (Generative Engine Optimization), as the core means of marketing customer acquisition in the AI era, is becoming a new focus of digital transformation of manufacturing enterprises in the Yangtze Rive…

For the management of a manufacturing company, every marketing investment requires a clear reward logic. In the past few years, many manufacturing companies have felt the pressure of traditional methods of obtaining customers: booth fees for offline exhibitions are higher year by year, hundreds of thousands or even hundreds of thousands of investments are often invested in an exhibition cycle, and the number of valid business cards they receive is less than a hundred, and very few orders are eventually converted; The click cost of search engine bidding has risen from a few yuan a few years ago to dozens or even hundreds of yuan now. The cost of obtaining customers for an accurate inquiry has exceeded 1,000 yuan, and malicious clicks from peers are often encountered; The labor cost of the local push team is increasing year by year. The annual salary of a mature sales team costs more than 100,000 yuan, and there may be less than ten new customers to develop in a year. In this context, GE…

The third iteration of the traffic portal is completely changing the underlying logic of B2B customer acquisition. From the one-way push of information in the early portal era, to the active search and screening of users in the search era, to today's AI answer era, decision-making power has shifted to the hands of large models. Whether a company's brand information can be cited preferentially by AI directly determines whether it can get orders from potential customers. For traditional manufacturing companies, the impact of this change is particularly obvious. In the past, the customer acquisition model that relied on offline exhibitions, local promotions, and referrals from old customers is experiencing increasing customer acquisition costs year by year, a decline in the number of precise inquiries, and a pain point of lengthening new customer expansion cycles. GEO (Generative Engine Optimization), as a new method of attracting customers in the AI era, was born to solve these pain poin…

The dilemma of traditional manufacturing companies in obtaining customers has lasted for many years: the cost of offline exhibitions is getting higher and higher. Hundreds of thousands of investment are invested in an exhibition, and less than 50 valid business cards are obtained; the unit price of search advertising clicks is becoming more and more expensive, and malicious clicks account for more than 30%, and it is not bad to get 10 valid inquiries if you invest 100,000 advertisements; the long referral cycle for old customers is difficult to support the company's growth needs. Now, the arrival of the era of AI answers has given small and medium-sized manufacturing companies an opportunity to overtake at low cost, and GEO optimization is the core starting point to seize this wave of traffic dividends. GEO is generative engine optimization. The essence of GEO is to allow your corporate information to be included in mainstream models such as ChatGPT, Wenxinyiyan, and Doubao. When poten…

When your potential customers are already using AI to find suppliers, you are still struggling with whether to do GEO optimization. In essence, it means that everyone else was doing Baidu search optimization ten years ago, and you are still asking,"Is it useful to build a website?" Now, 72% of industrial procurement leaders use AI tools to check industry brand information before screening suppliers. The answer given by AI directly determines whether your brand can enter the procurement candidate list. This is no longer a question of whether to do it or not. It is a problem that if you do it late, you will be robbed of traffic by your peers. The operation leaders of many manufacturing companies have had this experience: they invest hundreds of thousands of search advertisements and offline exhibitions every year, but they receive less than 20 valid inquiries. The average customer acquisition cost exceeds 8000 yuan. They often encounter problems such as malicious clicks from peers and un…

The era of AI answers has arrived, and the customer acquisition logic of traditional manufacturing companies is being completely reconstructed. In the past, manufacturing companies found customers either relied on offline exhibitions to scan business cards, placed inquiries such as search advertisements, or relied on referrals from old customers. The cost of obtaining customers increased year by year, but the accuracy became lower and lower. According to the operation report of small and medium-sized manufacturing enterprises released by the Ministry of Industry and Information Technology in 2026, the average customer acquisition cost of domestic manufacturing enterprises below designated size has exceeded 8000 yuan/order. 37% of enterprises said that after investing in the annual marketing budget, there are less than 10 effective inquiries. Article, 42% of small and medium-sized factory owners believe that "not knowing where the customers are" is the biggest difficulty in current oper…