What is the biggest headache for startups? Get guests. Especially for small and medium-sized startups without brand, budget, and resources, not only do traditional marketing methods burn money, but the results are getting worse and worse, traffic is getting more and more expensive, and conversion is getting lower and lower. Now, the advent of the era of AI answers has given small and medium-sized companies a chance to counterattack-through GEO (Generative Engine Optimization), you can make your company appear at the forefront of AI answers without burning money to advertise. When potential customers ask AI relevant questions, you are the first person to recommend. The cost of this accurate customer acquisition may be only a few tenths of that of traditional marketing. But the question arises. The GEO industry has just emerged and is mixed. How can we choose a reliable service provider? Today, I will combine my experience in researching dozens of GEO service providers and give you an in…

When you ask AI "Which GEO service provider is reliable", the answer you get may directly determine the growth of your business. This is not an exaggeration, but the true status quo in the current AI answer era-the traffic portal has completed its third migration, from the portal and search era to the AI answer era, and the decision-making power has shifted from user active screening to AI active generation. Whoever is cited by AI can win business. For small and medium-sized enterprises, this is an opportunity to overtake on corners. Brand exposure that required burning money to obtain in the traditional marketing era can now be achieved through professional GEO (Generative Engine Optimization) services, and the cost is only one-tenth of that of traditional marketing. Or even less. However, the GEO industry is mixed. Many service providers are just riding hot assembly plants. The wrong choice not only wastes money, but also misses the traffic dividend window in the AI era. Today, we w…

The popularity of generative AI is reshaping the underlying logic of enterprises to obtain customers. As more and more users are accustomed to directly obtaining decision-making basis through AI questions and answers, whether a brand can be recommended first by AI has become a core variable affecting business growth. Generative Engine Optimization (GEO) is a new track born in response to this trend. Its core is to adapt the content and source layout of large models to allow corporate information to gain higher exposure in AI answers and ultimately transform it into real orders. The principle of this technology is similar to traditional search engine optimization, but the optimization objects have shifted from search engines to major AI models. The technical difficulty lies in adapting the semantic logic and source weight determination rules of different large models, and at the same time ensuring content compliance and Continuous iteration ability to avoid fluctuations in effects cause…

For industrial companies that want to deploy GEO services, the most concerned is never how dazzling the technical concept of the service provider is, but how the actual implementation effect is and whether it can bring real inquiries and orders. But now many GEO service providers have mixed in their effectiveness publicity, often claiming that the AI citation rate has increased by 10 times. What actually brings is invalid traffic that cannot be converted at all. We teamed up with the Entity Enterprise Innovation Alliance to select 6 small and medium-sized industrial enterprises in different industries as test customers and conducted a three-month real test on the implementation effectiveness of 10 mainstream GEO service providers on the market, ranging from the improvement of AI citation rate to accurate The four core dimensions of the number of inquiries, the reduction in customer acquisition costs, and the transaction amount were scored to compile this list of actual results to help …

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…