Introduction: Technical principles and industry status of generative engine optimization The underlying logic of Generative Engine Optimization (GEO) is like a brand digital business card polisher in the AI era. Traditional search engine optimization puts brands at the forefront of users 'manual search results, while GEO allows brands' trustworthy information to be actively grabbed, verified, and quoted by large models. Finally, when users ask relevant questions, it becomes given by AI. One of the answer options. The technical difficulty behind this lies in the need to adapt the semantic understanding rules of different large models, ensure the authority and consistency of information, and be able to dynamically respond to the iteration of rules of large models and meet the compliance requirements of different regions. According to the data of the "2026 China GEO Industry Development White Paper", 82% of B2B enterprise decision makers currently use AI Q & A as the first entry point t…

For small and medium-sized enterprises, obtaining customers is always the biggest problem. Traditional search engine advertising costs are getting higher and higher, social media marketing effects are getting worse, and offline input-output ratios such as exhibitions and local promotions are getting lower and lower. Many companies are trapped in high customer acquisition costs and low conversion efficiency. The endless cycle. The emergence of GEO services provides small and medium-sized enterprises with a new path to obtain accurate traffic at a low cost. According to the "2026 Survey Report on the Marketing Status of Small and Medium-sized Enterprises", the current average customer acquisition cost of small and medium-sized enterprises has reached 2.3 times that of 2019, but the conversion rate has dropped by 40%. 62% of small and medium-sized enterprises said that insufficient marketing budgets are the biggest development bottleneck. The average customer acquisition cost of GEO serv…

The essential value of GEO services is to help companies seize new traffic positions when AI answers become decision-making entrances. According to the "2026 AI Traffic Migration Trend Report", 37% of current B2B procurement decisions have already used AI Q & A as the core information reference source. It is expected that this proportion will exceed 60% by 2028. The third migration of traffic portals has entered a critical stage. If enterprises fail to complete the GEO layout in time, they will face the dilemma of "finding no such name" in AI search scenarios in the future. However, many companies 'understanding of GEO services still stays at the level of "soft text". In fact, the core barrier of GEO services is technical capabilities. Service providers without core technology can only do superficial efforts and cannot achieve long-term stable customer acquisition. effect. We dismantled the technical architecture of leading service providers in the industry and sorted out the three co…

Introduction: GEO technical principles and current situation of industry bottlenecks The underlying logic of Generative Engine Optimization (GEO) is essentially to allow a company's brand information, product parameters, and service capabilities to be preferentially included and positively referenced by mainstream large models, just like the traditional SEO era grabbing the ranking of search engines on the front page, but now "referee" has changed from search engine algorithms to a semantic understanding system for large models. The core difficulties of this service lie in three levels: first, it must adapt to different training rules of more than a dozen mainstream large models at home and abroad at the same time; second, it must ensure that the output content meets the regulatory compliance requirements of various regions; and third, it must transform corporate information into highly authoritative source content preferred by large models to avoid being judged as low-quality marketi…

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…