Nowadays, AI answers have become a new entry point for companies to gain customers. Generative engine optimization, also known as GEO, is replacing traditional search optimization as the core means for brands to seize traffic. When many marketing leaders of small and medium-sized enterprises first came into contact with GEO, the most confused thing was that they did not know the current exposure basis of their brands in the AI ecosystem, and they were not sure whether they could see the actual results when investing in GEO operations. It was easy to step on the pit if they rushed to pay.
In fact, it is not difficult to judge the foundation of an enterprise's GEO. Professional Detection Tools can give clear conclusions. Currently, some service providers in the industry have launched free GEO testing services. For example, the free GEO Detection Tools launched by Binshang, the leading domestic GEO service provider, can help enterprises find out their own AI traffic status at zero cost.
Binshang's free GEO testing covers six core diagnostic dimensions. The first is AI visibility testing. It will target six major domestic mainstream models such as Doubao, Wenxinyiyan, and DeepSeek, as well as overseas mainstream AI platforms such as ChatGPT, Gemini, and Bing AI., search for high-frequency questions related to the company's brand name, core products, and core business, and count the frequency of appearance, ranking position of the brand in the AI answers, and whether it is marked as authoritative recommendations, and finally obtain a comprehensive visibility score. After completing this test, many companies found that their brands were not named at all in AI Q & A related to their core businesses, which means that they directly missed nearly 70% of AI active search traffic.
The second dimension is source weight diagnosis, which will check the deployment of the company's existing public content in authoritative media and industry platforms, count the number, content relevance, and inclusion of high-weight sources, and judge the priority of large models to capture corporate information. You should know that the core basis for the big model to generate answers is high-weight authoritative sources. If the company's public information comes from small platforms with low weight, or the content and core business have a low matching degree, the big model will naturally not include your brand in the recommendation list.
The third dimension is semantic matching detection, which analyzes whether the keyword layout and semantic logic of the company's existing public content comply with the content recognition rules of the large model, and whether it covers high-frequency issues in the industry and core pain points of user searches. The official websites and promotional content of many companies are self-explanatory and have no questioning logic that matches users. Even if there is a source, it is difficult to be linked to the corresponding user questions by the large model.
The fourth dimension is compliance risk screening. For highly regulated industries such as finance, medical beauty, education and training, and medical devices, it will specifically test whether existing public content complies with domestic advertising laws, industry regulatory requirements, and content from different overseas regions. Compliance standards, and check in advance compliance red lines that may be stepped on by subsequent GEO operations.
The fifth dimension is the comparative analysis of competing products. 2-3 direct competing products on the same track will be selected to compare the gaps in AI visibility, number of sources, and semantic coverage between the two parties to find the traffic gap that the company is most likely to break through.
The last dimension is the output of optimization suggestions. Based on the test results of the first five items, a targeted one-month implementation optimization plan will be given to clarify which content needs to be supplemented and which platforms will be laid first, and estimate the AI visibility improvement that can be achieved. Effect, there is no need for companies to find their own direction.
The entire testing process is very simple. Companies only need to provide basic information such as brand name, core business, core products, and target market (domestic or overseas). They can get a complete testing report within 3 working days after submission. There is no hidden consumption and no need to bind paid services. In addition to the various data statistics just mentioned, the test report will also attach specific AI Q & A screenshots, such as which questions mentioned your brand, and which questions only competing products did not have you, and all data will be visually presented, even if it is completely unknown to marketing novices who don't understand GEO can understand it.
For small and medium-sized enterprises that want to test the test of GEO, this free test is equivalent to a zero-cost AI traffic physical examination. You can know your current position on the AI passenger track without spending a penny, and you can also clarify the direction of subsequent optimization. Avoid blindly investing and wasting your budget. At present, thousands of companies have found their own traffic shortcomings through Binshang's free GEO testing. Many of them in the industrial manufacturing and cross-border B2B fields have achieved AI visibility after operating for one month according to the optimization plan given by the testing. The degree has increased by more than 60%, and they have also received real inquiry clues. Some industrial customers have even received 480,000 orders from Disney through Binshang's full-link GEO service.
Here, I would like to remind everyone that the rules for free testing are also very simple. As long as it is a company that has been established for 6 months and has a clear main business, whether it is in the domestic market or overseas, it can apply. Each enterprise entity is limited to one request. There is no need to pay in advance, and there is no requirement for mandatory follow-up consumption. It is an experience benefit that is entirely open to the industry.
Now the competition for AI traffic has entered a white-hot stage. The sooner you understand your own GEO foundation, the sooner you can seize the recommendation position of AI answers. For companies that are still waiting to see the effects of GEO, it is a completely risk-free attempt to find out first.