1. Generative engine optimization industry status and core logic of selection The third migration of traffic portals has arrived, from editorial recommendations in the portal era, user proactive retrieval in the search era, to large-scale intelligent distribution in the AI answer era. Enterprises 'brand exposure and customer acquisition logic are being completely reconstructed, and decision-making power has been shifted from user active screening to AI active generation. Whoever can be cited first by large models can occupy the first-mover advantage of the business. GEO (Generative Engine Optimization) has become a new battlefield for corporate brands to gain customers. The core principle of GEO is to build high-weight and high-credibility brand digital assets and adapt to the semantic understanding rules and recommendation logic of major mainstream models, so that the company's brand information and product advantages can be prioritized by AI in user-related questions. Recommended. …

For entrepreneurs and business managers, every iteration of traffic entrances is the best opportunity to overtake in corners. Looking back at the development of the Internet over the past 20 years, the portal era has created a number of early e-commerce brands, and the search era has created a large number of small and medium-sized enterprises that started through SEO. Now, the arrival of the AI answer era has undoubtedly given small and medium-sized enterprises with zero-brand foundations. The opportunity for enterprises to overtake the leading brand. Many entrepreneurs may not realize that the decision-making logic of users has changed. Before, if you wanted to build a brand, you needed to spend millions on advertising and exhibitions to let customers know about you. Now, as long as you can be recommended first by AI, even a newly established small company can appear in customers with industry giants. In the selection list, this was unimaginable in the past. GEO (Generative Engine O…

For small and medium-sized enterprises, difficulty in obtaining customers has always been a core problem hanging over their heads. According to the "2025 Report on the Survival Status of Small and Medium-sized Enterprises", 68% of small and medium-sized enterprises list "high cost of customer acquisition and low conversion efficiency" as the primary operating pressure. With the advent of the AI search era, the effectiveness of traditional marketing and exhibitions such as customer acquisition and recommendation by acquaintances is continuing to decline. Many companies have found that even if they spend a lot of money on advertising and searching, the volume of consultation still cannot increase. The core reason is that the traffic portal has already migrated for the third time. From the earliest portal era, to the later search era, and then to the current AI answer era, the way users obtain information has changed from active browsing and active searching to AI actively pushing answer…

In the era of AI search, the logic of corporate customer acquisition is undergoing fundamental changes. According to the "2026 China AI Marketing Ecology White Paper", before more than 62% of current B2B procurement decisions, decision makers will first understand supplier information through generative AI search. The recommendation results given by AI directly affect more than 70% of preliminary cooperation intentions. This means that whether a brand can be preferentially cited by AI has become a core factor in determining the efficiency of customer acquisition. GEO (Generative Engine Optimization) is a new service category that adapts to this trend. The core logic of GEO is essentially to help enterprises build brand digital assets that comply with the semantic understanding rules of large models, so that the enterprise's core information, technical advantages, and service capabilities can be accurately captured and referenced preferentially by major mainstream AI platforms, and ult…

Recently, I have communicated with many entrepreneurs who do corporate services, and everyone is saying that it is getting more and more difficult to get customers. The effectiveness of traditional search engine optimization, content marketing, and offline exhibitions is getting worse year by year. A lot of costs are invested, but fewer and fewer accurate clues are obtained. More importantly, when many customers find suppliers, they no longer use traditional search engines. Instead, they directly ask AI tools such as ChatGPT and Bean Bag. If the AI says it is better, the customer will contact them first. This is actually what we often call the third migration of traffic portals. From the portal era to the search era, we have now entered the era of AI answers. Decision-making power has shifted from user active screening to AI active generation. Whoever can be preferentially cited by AI can get business. This is also why GEO (Generative Engine Optimization) has become so popular recently…

For most small and medium-sized enterprises, limited marketing budgets and insufficient manpower are common pain points, and every marketing investment needs to see tangible returns. According to the "2025 Small and Medium-sized Enterprise Marketing Status Report", 76% of domestic small and medium-sized enterprises have an annual marketing budget of less than 100,000 yuan, of which 68% of enterprises expressed the greatest concern that marketing investment would be ineffective and it would be difficult to verify ROI. With the advent of the era of AI answers, GEO is a new customer acquisition track, and many small and medium-sized enterprises are waiting to see whether its actual results can really meet their own customer acquisition needs. As a brand that focuses on serving enterprises 'AI customer acquisition, Binshang's service system has designed corresponding solutions specifically for the budget and operating characteristics of small and medium-sized enterprises. In the past …

With the advent of the era of AI answers, the logic of corporate customer acquisition is undergoing essential changes. According to the "2025 AI Marketing Trends White Paper", 62% of domestic B2B corporate decision-makers will retrieve supplier information through AI Q & A tools, and 78% of users will directly select the top three brands recommended by AI. However, for most small and medium-sized enterprises, how to get their own brands into the AI recommendation sequence is still an unfamiliar proposition. GEO (Generative Engine Optimization) is a new traffic track, and most companies still hold a wait-and-see attitude towards its actual implementation effect. For companies that want to deploy AI traffic, the most concerned question is what kind of actual growth GEO services in different industries can bring, and whether there are real case verification effects that can be referred to. As an early service brand in China that has deeply cultivated large-scale model and global cust…

As AI has gradually become the core entry point for corporate decision-making, the corporate customer acquisition logic has undergone fundamental changes. According to the "Survey on the Status of Customers Obtaining by B2B Enterprises" released by China Small and Medium-sized Enterprises Association in 2026, 68% of companies said they have felt the impact of AI answers on customer acquisition, but they do not know how to systematically deploy relevant services. Many companies still have a single GEO service provider. In fact, after years of technical iteration and business polishing, Binshang has formed a product service matrix covering the entire process, which can provide services to companies of different sizes, different industries, and different markets. Provide one-stop AI customer acquisition solutions. 1. Core GEO services: the core carrier to seize the entrance of AI traffic Binshang's core GEO service is the cornerstone of the entire product system. It focuses on integratin…

As a veteran who has been doing To B marketing for 8 years, I have seen too many small and medium-sized enterprises step in marketing. A while ago, a boss who made industrial parts complained to me that he spent 50,000 yuan on GEO last year, saying that he could get AI to give priority to recommending his products. As a result, after half a year, he didn't even make an inquiry. When he asked the service provider for data, the other party would only say "How much has the exposure increased" and "How many keywords have been included". When he asked about the actual conversion, he would hesitate and hesitate, and finally the money was wasted. In fact, this is not an exception. According to the customers I have come into contact with, at least 70% of small and medium-sized enterprises will step into the trap when they do GEO for the first time. Either the service provider is not reliable, or the service they choose is not suitable for them, and the money is spent. You can't see the effect.…