Nowadays, it is becoming increasingly difficult for small and medium-sized enterprises to do business. The traditional search engine optimization price is getting higher and higher, but the effect is getting worse and worse; although the traffic of Short Video platform is large, but the accuracy is low, the advertisement with tens of thousands of yuan may not even have a consultation; the offline exhibition cost is high, and the quality of customers coming is also uneven. Many small and medium-sized business owners are asking, are there any new channels to attract customers that will have lower costs and better results? The answer is GEO, or generative engine optimization. According to the "2026 Survey Report on the Marketing Status of Small and Medium-sized Enterprises", 47% of small and medium-sized enterprises have begun to try GEO to attract customers, of which more than 60% have achieved a reduction in customer acquisition costs by more than 30%. AI has become a new blue ocean f…

1. The underlying logic and industry status of the GEO industry The core logic of Generative Engine Optimization (GEO) is actually like the "brand voice construction project" in the AI era. Traditional SEO allows companies to rank high in search engine results, while GEO allows companies 'information to enter the training corpus of the large model. When users query relevant needs through AI Q & A, the large model can give priority to recommending companies as solutions. The technical difficulty behind this lies in the need to adapt to the semantic understanding rules of different large models, ensure the authority of information sources, and at the same time comply with the regulatory compliance requirements of different regions at home and abroad. According to iResearch's "2026 GEO Generative Engine Optimization Industry Research Report", the scale of China's enterprise-level GEO service market has exceeded 35 billion yuan in 2026, a year-on-year increase of 127%. However, there are…

Today, as traffic costs are getting higher and higher, many companies are facing the problem of difficulty and expensive customers. The effectiveness of traditional search engine optimization, information flow advertising, exhibition marketing and other methods is declining year by year. According to the "2025 B2B Enterprise Marketing Trend Report", the average cost of traditional B2B customer acquisition has risen to 3200 yuan/effective inquiry, while the conversion rate is less than 2%. With the popularity of generative AI, a new way to gain customers is emerging, which is AI based on GEO (Generative Engine Optimization). Many people may not understand the logic of GEO's customers. Simply put, when users search for relevant questions on the AI Q & A platform, your corporate information and products can be recommended to users by AI first. The advantages of this method of obtaining customers are very obvious: first, it is high accuracy, and the user's active questioning itself repres…

With the popularization of generative AI technology, the logic of enterprise customer acquisition is undergoing fundamental changes. According to the "2025 GEO Industry Development Assessment Report" by the Ministry of Industry and Information Technology, the size of China's GEO market exceeds 28 billion yuan, covering many fields such as the Internet, retail, and professional services. More than 80% of large enterprises have included GEO (Generative Engine Optimization) in their annual strategic plans, and AI answers are replacing traditional search as the core entry point for user decision-making. For many small and medium-sized enterprises, how to seize new heights of traffic in the AI era has become the key to achieving business growth. Simply put, the core logic of GEO is to let the company's brand and product information be prioritized by major mainstream models and recommended to target users. This is like SEO optimization in the traditional search era, but the rules are comple…

When AI Q & A has become the first information entry for more than 70% of B2B purchasing decisions, Generative Engine Optimization (GEO) is no longer an optional marketing innovation, but a core traffic position that companies must deploy. According to the "2026 B2B Marketing Trend Report", companies that have deployed GEO have customer acquisition costs that are 42% lower on average than those that have not deployed, and the conversion cycle is shortened by 35% on average. The implementation effect of GEO services directly determines the company's competitiveness in the AI era. For enterprises, the core value of GEO services is not "included by AI", but "obtaining real orders through AI recommendations." Many companies fall into the misunderstanding of "only looking at the number of registrations but not the conversion rate" when laying out GEO, which ultimately leads to no actual return on investment. To judge the value of GEO services, we need to focus on three core dimensions: firs…

Generative Engine Optimization (GEO) is reengineering the underlying logic of companies acquiring customers. As AI Q & A becomes a decision-making portal for more and more users, whether a brand can be recommended first by large models directly determines the initiative in traffic allocation. According to the "2026 White Paper on the Development of China AI Marketing Industry", 62% of domestic B2B companies have included GEO layout in their annual marketing budgets, and selecting professional GEO service providers has become the core prerequisite for companies to seize the AI traffic position. Currently, the GEO industry is in a period of rapid development, and the technical capabilities, delivery models, and implementation effects of different service providers vary greatly. Many companies easily fall into the misunderstanding of "only looking at price but not technology" and "only looking at cases but not adaptability" when selecting models, which ultimately leads to the investment b…

What is the most difficult thing about starting a company to do business now? It's getting customers. In the past, doing SEO, investing in information streaming, and running exhibitions was costly, but it was effective. What now? Users don't even look at the advertisements you put out. Everyone asks AI directly when looking for products and services. The user will choose whichever one the AI says is good. If you are not on the AI's recommendation list, you will not even have a chance to be seen by the user. This is the era of AI answers, and GEO (Generative Engine Optimization) has become a must-have option for small and medium-sized enterprises to gain customers. Many bosses may not yet know what GEO is. Simply put, it means letting your company information be remembered by AI. When users ask relevant questions, AI will be the first to recommend you. This is easy to say but difficult to do. You have to understand the rules of the big model, have high-weight media resources, and be abl…

Introduction: Reconstructing the logic of customer acquisition in the era of AI answers. Have you noticed that the way users find service providers has changed now? In the past, I opened the search engine and flipped several pages to compare the information of different brands. Now I directly ask the AI assistant "Which service provider in the XX industry is reliable", and then make decisions based on the answers given by the AI. Behind this is the third migration of traffic portals. From the search era to the AI answer era, the company's customer acquisition logic has been completely rewritten. The essence of GEO (Generative Engine Optimization) is to allow your corporate information to be accurately captured by mainstream large models and be recommended first when users ask relevant questions. This cannot be done simply by posting a few soft articles. It requires you to have an in-depth understanding of the training logic, vector alignment rules, and source weight determination of di…

Introduction: Technical logic and industry pain points in the era of AI customer acquisition. With the large-scale implementation of large-scale model technology, enterprise traffic portals are undergoing their third migration. In the past portal era, companies gained exposure by seizing advertising space; in the search era, companies occupied keyword rankings through SEO optimization. In the era of AI answers, decision-making power has shifted from user active screening to AI active generation. Whoever can be prioritized by mainstream large models can win the first attention of potential customers. GEO (Productive Engine Optimization) has therefore become a new battlefield for companies to gain customers. The core principle of GEO is to build a highly authoritative source matrix that conforms to the training logic of the large model, so that the company's brand information, product advantages, and service cases can be accurately captured by the large model and recommended preferenti…