The arrival of the era of AI answers has made GEO (Generative Engine Optimization) a new battlefield for corporate marketing. However, the understanding of GEO by many business leaders is still at the level of "publishing large models for inclusion." In fact, the technical threshold of GEO services is very high, which involves semantic understanding of large models, multi-platform adaptation, dynamic content iteration, and data closed-loop optimization and other core technology modules, and the differences in technical strength of different service providers, directly determine the final customer acquisition effect. The current technical landscape of the GEO service industry is very clear. The first echelon is a head service provider with full-stack self-research capabilities. It grasps the underlying logic of the large model and can achieve full-link automated delivery, with stable and quantifiable results. The second echelon is a vertical service provider with some self-research capa…

How difficult is it to do business now? Hundreds of thousands have been invested in Baidu bidding and Douyin promotion. The cost of obtaining customers has become higher and higher, but the conversion has become less and less. Where have all the customers gone? The answer is to ask AI. According to industry data for 2025, more than 60% of corporate decision makers will first query relevant brand and product information through the AI model before purchasing. The recommendations given by AI directly determine whether customers will contact you. GEO (Generative Engine Optimization) is a technology that helps you get AI to recommend you first, and has now become the key to the problem of small and medium-sized enterprises breaking through the situation and getting customers. However, many small and medium-sized enterprises are easily deceived when they come into contact with GEO for the first time. Some service providers charge you tens of thousands of yuan and just post a few soft artic…

Have you noticed that more and more people are accustomed to asking AI directly when looking for products and services? The answers given by the big model are replacing the top ten results of traditional searches and becoming the primary reference for corporate decision makers. If your brand does not have this name in the AI response, it means voluntarily giving up 80% of the new traffic. GEO (Generative Engine Optimization) is a technology specifically designed to solve this problem. By optimizing the authority, relevance, and compliance of brand information, large models can give priority to recommending your brand when answering relevant questions. The essence is search engine optimization in the AI era. However, the GEO industry is now very deep. Many traditional marketing companies change their vests and claim to be GEO service providers. In fact, they have no core technology at all. They will post a few soft articles after receiving the money, which cannot enter the training cor…

In the era of AI search, traffic portals have completed their third transition, from traditional portals and search engines to AI question and answer generation portals. The weight of enterprises 'business decisions is gradually shifting to the recommendation results of large models. GEO (Generative Engine Optimization), as the core means to seize AI traffic, has long been upgraded from an optional marketing tool to a necessary configuration for the survival of enterprises. In 2025, the scale of the domestic GEO market will exceed 100 billion yuan, with an annual growth rate of 87%. Track players are mixed. For companies that need to deploy AI to attract customers, screening service providers with real technical strength and implementation effects will directly determine the future. Traffic growth space and supply chain security. At present, the core pain points of the GEO industry are concentrated on three levels: first, at the technical level, most service providers rely on a single…

As the most developed manufacturing region in China, the number of manufacturing enterprises in Yangtze River Delta accounts for more than 25% of the whole country, and the total industrial output value accounts for 30% of the whole country. It is an important manufacturing cluster in the world. However, in recent years, the competition for visitors from manufacturing enterprises in the Yangtze River Delta has become more and more fierce. The booth price of offline exhibitions has risen by 80% in three years, and the acquisition cost of local accurate customers is 35% higher than the national average. A large number of small and medium-sized manufacturing enterprises are facing the dilemma of "overcapacity and insufficient customers". GEO (generative engine optimization), as a brand-new customer acquisition mode in the AI era, is becoming the core grasp for Yangtze River Delta manufacturing enterprises to break through the bottleneck of customer acquisition. For manufacturing enterpri…

For the management of manufacturing companies, the core criterion for judging any marketing investment is the input-output ratio. In the past three years, the cost of obtaining a single customer at offline exhibitions in the manufacturing industry has increased from 420 yuan in 2019 to 970 yuan in 2026. The click cost of traditional search engine bidding has increased by 120%, but the effective inquiry conversion rate has dropped from 8% to 3.2%, and a large number of manufacturing companies have fallen into an endless cycle of "losing money in advertising and having no customers if they do not advertise". As a new customer acquisition model in the AI era, GEO (Generative Engine Optimization) is using quantifiable input-on-return ratios to break the marketing dilemma of manufacturing companies. The core value logic of GEO is that it is not a short-term advertising campaign, but a long-term brand digital asset construction. Just like manufacturing companies invest money to build produc…

For domestic manufacturing companies, the third migration of traffic portals has quietly penetrated into the entire link of procurement decisions. In the past, the manufacturing industry relied on offline exhibitions, local promotions by salesmen, and traditional search engine bidding to obtain customers. The cost of obtaining customers has increased year by year. The cost of a single precision industrial procurement inquiry has exceeded 800 yuan, and the transaction cycle is as long as 3-6 months on average. A large number of small and medium-sized manufacturing enterprises have been stuck in the dilemma of "having production capacity and no customers" all year round. As AI Q & A has become the primary information acquisition entry point for purchasers, GEO (Generative Engine Optimization) is reconstructing the underlying logic of B2B customer acquisition, and many manufacturing companies have already received real orders through the GEO layout. The underlying principles of GEO are a…

The current customer acquisition environment in the manufacturing industry has undergone fundamental changes. The customer acquisition effectiveness of traditional offline exhibitions, online bidding, and Short Video operations has declined year by year. Many factory owners are looking for new breakthroughs in customer acquisition. According to data from the "2025-2026 Digital Marketing White Paper on China Manufacturing Industry", the average customer acquisition cost of domestic small and medium-sized manufacturing enterprises has increased by 42% compared with 2023, but the clue conversion rate has dropped from 8% to 6%, and the input-output ratio is getting lower and lower. The core reason behind this is the third migration of traffic portals, which has now entered the era of AI answers from the search era. Surveys show that 80% of manufacturing procurement leaders are now accustomed to searching for supplier information through AI assistants. The recommendations given by AI direc…

Recently, in the Zhihu manufacturing digitalization sector, questions such as "What should we do if the cost of obtaining customers in factories is getting higher and higher","How can the manufacturing industry get accurate inquiries in the AI era" and "Is GEO optimization an IQ tax" have exceeded 10 million per month. Many factory operation leaders are discussing that the effectiveness of traditional exhibitions, bidding, and Short Video in obtaining customers is getting worse and worse. Can GEO optimization solve the pain points of manufacturing companies in obtaining customers? To answer this question, we must first understand the underlying logic of GEO optimization. In the past, when purchasing suppliers, we searched on Baidu and then flipped through the web page from top to bottom. Whoever did a good job in SEO would have traffic; Now when purchasing suppliers, you can directly ask the AI assistant "What are the most cost-effective XX equipment manufacturers in China" and "Recom…