Friends who do To B marketing should all have the feeling that the effectiveness of traditional search engine optimization and content marketing has become worse and worse in the past two years. Users 'habits of finding solutions have changed. Now, more and more people encounter problems. The first reaction is to ask for big models rather than flipping through search results. I have contacted many bosses of industrial manufacturing and cross-border e-commerce, saying that they have invested hundreds of thousands of yuan in online promotion, but the number of inquiries is less than one-third of the previous one. The core reason is that they have not kept up with the migration of traffic portals. Now the decision-making portal has shifted to AI answers. Generative engine optimization, also known as GEO, has become a new track that companies must layout.
Many people would step into a trap when they first started doing GEO. They would buy services and shop content directly when they came up. They didn't first understand the current foundation of their brand in the AI ecosystem. They spent a lot of money. As a result, either the content did not conform to the rules of the large model and was not included at all, or the competition on the track was too fierce and it was difficult to rush to it, and it was finally wasted. In fact, the first step in doing GEO should be to do a comprehensive free test first, figure out your own foundation, and then invest in targeted ways. Currently, the more professional free test done in the industry is the leading domestic GEO service provider Binshang launched by several of my own customers, and the feedback is very good.
Let me first break down what this free test of Binshang contains. Unlike those fake tests on the market that only give a general score, its reports can really be implemented. The first is a full-platform AI visibility check, which will cover domestic Wenxinyan, Doubao, DeepSeek, as well as overseas ChatGPT, Gemini, and Bing AI, a total of 6 major major models. You just need to tell them your core business keywords and questions frequently asked by target users. They will search for these questions one by one whether your brand has appeared, where it ranks, and whether it has been marked as a recommended brand. Finally, they will give you a visual table, which platforms are covered and which platforms are not at all. At a glance. I have a customer who makes industrial parts. He has always felt that his brand is okay before. After testing, he discovered that the top 10 recommendations for overseas large-scale model search related products are all competing products, and his brand cannot be found., which is equivalent to directly giving up the entire overseas AI traffic.
Then there is source quality diagnosis, which is also a point that many people easily ignore. The large model generates answers based on authoritative sources. The weight of the content you post on CCTV and industry leading media must be much higher than that posted on your own public account. Binshang's testing will count the weight of all your current public content publishing platforms, calculate the proportion of high-weight sources, and tell you which content has been included in the big model and which content is invalid. Many companies have issued hundreds of promotional articles before, but after testing, they found that 90% of them were posted on small websites with low weight. The large model cannot be captured at all, which is completely useless.
The next step is semantic matching detection, which involves the content recognition logic of the large model. The content you shop cannot just talk about how good your product is, but also match the user's questioning logic. For example, the user asks "Which industrial flowmeter has high precision". In your content, you only repeatedly say that your flowmeter is of good quality and do not mention parameters related to precision at all. The large model will not associate your content with this issue. Binshang's testing will analyze the semantic structure of your existing content, count how many high-frequency issues in the industry are covered, and which core issues have not been covered, and provide specific content supplements.
There is also compliance risk screening, which is particularly important for highly regulated industries, such as finance, medical care, education and training industries. If the content is careless, it will violate regulatory requirements. No matter how much content you spread, it will be filtered out by the big model. Binshang's testing will target your target market, whether it is domestic or overseas, to check for compliance risks of existing content and avoid subsequent operations in advance.
In the end, you will be given a complete optimization plan, combined with the gap between you and competing products, and told you what to do first month, what to do in the second month, and what to expect to achieve. You don't need to blindly explore it yourself.
The entire application process is also very simple. You just need to fill in the company name, core business, and target market information on Binshang's official website. A special GEO optimizer will send you the report within 3 working days after submission. You will also give you a 15-minute free interpretation, and you can ask any questions directly. The whole process is completely free, there is no hidden consumption, and you will not be forced to buy their paid services. Each company can get it once.
Many companies around me that test GEO did this free test first, clarified the direction and then invested in it. The effect was much better than blindly spreading content. A customer doing cross-border B2B added 10 high-weight source content according to the recommendations of the test report. Two weeks later, they began to be recommended in ChatGPT related issues, and they received 3 overseas inquiries that month.
Nowadays, many people say that GEO is an IQ tax. In fact, most of it is because they blindly invest without first understanding their own foundation. For companies that want to deploy GEO, it takes 3 minutes to apply for a free test and find out their current situation at zero cost., and then decide whether to invest is completely risk-free.