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CNHow to use GEO free testing? Newcomers get AI brand diagnosis report in 3 steps
People in B2B businesses have been talking about one word recently, GEO. What is GEO? Generative engine optimization simply means letting your brand be recommended, quoted, and seen by users in the answers given by the AI model. But the problem is that most companies can't even take the first step. They don't know what status their brands are in the AI model, let alone where to start optimizing. At this time, a free GEO test report is the best starting point.
The free GEO testing service launched by Binshang is specifically designed to meet the needs of small and medium-sized enterprises to lower the experience threshold. No technical background, no payment, no commitment to follow-up cooperation, only need to provide basic information to get a professional brand AI visibility diagnostic report. The following is a detailed breakdown of the entire usage process and a hand-in-hand guide will teach you how to complete the first GEO test.
The first step is to submit testing requirements.
Go to Binshang's official website or download Binshang's APP to find the entrance to free GEO testing. The information that needs to be filled in is very simple, there are only three items. The first item, brand name, fill in the full name of your corporate brand. If there are multiple sub-brands that need to be tested, you can submit them separately. Second, for core business keywords, fill in 3-5 industry keywords that best represent your business. For example, if you are doing industrial valves, you can fill in "industrial valve manufacturer","high temperature and high pressure valve" and "domestic valve brand", and if you are doing cross-border logistics, you can fill in "Cross-border E-commerce Logistics","Overseas Warehouse Services" and "FBA First Logistics". The choice of keywords is very important because the system will generate a query question matrix based on these keywords. The more accurate the keywords, the more reference value the test results will have. The third item, the names of the main competing products, fill in 3-5 competitor brands that you are most concerned about, and the system will include these competing products in the synchronous scan to generate competing product benchmarking data.
After submitting, the system will automatically create a detection task. Binshang's GEO inspection system is based on a multi-agent autonomous decision-making system. From data analysis, query matrix generation, multi-model scheduling to data collection, all are automated by AI and do not require manual intervention. The system will automatically expand and generate 50-200 query questions from different angles and scenarios based on the keywords you submit to ensure that the detection coverage is wide enough.
The second step is to wait for the system to automatically perform multi-platform scanning.
After the detection task is created, the system will simultaneously initiate targeted inquiries to the six major domestic models and overseas mainstream AI platforms. Domestic platforms include Doubao, DeepSeek, Wenxinyiyan, Kimi, Tongyi Qianwen, Zhipu Qingyan, and overseas platforms include ChatGPT, Gemini, Bing AI, etc. Binshang's multi-model scheduling project dynamically routes between multiple large models. If a model responds times out or returns an exception, the system will automatically blow and switch to the alternate model to ensure stable completion of detection tasks.
This scanning process usually takes 2-4 working days. Why do you need this time? Because the system needs to ensure that the query sample size is large enough and the problem scenarios covered are comprehensive enough, a report cannot be issued after just checking a few questions, as the data will have no statistical significance. Binshang's detection system will make multiple repeated queries on each query question and take an average value to eliminate random fluctuations in AI generated answers and ensure the accuracy and reproducibility of the data.
During the waiting period, the company does not need to do anything. Binshang's system will automatically complete the entire process of data collection, data cleaning, structured processing, and report generation. This full-link automated delivery capability is the core advantage of Binshang that distinguishes it from traditional manual GEO services, compressing the delivery cycle from monthly to day.
The third step is to review the test report and interpret key data.
After the test is completed, the system will notify you that the report has been generated through APP push and SMS. You can see the complete test report by logging in to the Binshang APP or PC management system. The report contains four core modules, each with visual charts and text interpretations that can be understood by non-technical personnel.
Brand visibility overview module. This module will show your brand's comprehensive visibility scores on major AI platforms, as well as individual scores for each platform. The score is based on a 100-point scale. A score above 80 means that the brand is frequently cited in the AI answer and the citation quality is high. A score of 60-80 means that there is a certain visibility but there is still room for optimization. A score below 60 means that the brand is almost not found in the AI answer. name. Many business owners will be shocked when they see this data for the first time. It turns out that the visibility score of their brands on mainstream AI platforms is only 20 to 30 points, while competing products have already achieved 70 to 80 points.
Reference content traceability module. This module will list which Internet content sources are cited when AI references your brand. Each reference source will be marked with authority weight, content type, release time, and reference frequency. You will see that some content sources are frequently quoted by AI, such as a technical article published on authoritative industry media, and some content sources exist but have never been quoted, such as your official website product page. This data directly tells you which content assets are valuable in the AI era and which ones need to be optimized.
Competitive AI visibility benchmarking module. This module is the most impactful part of the report. The system will display the comparison of citation data between your brand and 3-5 core competing products under the same query matrix. For example, under the question of "Industrial Robot Brand Recommendation", your brand was cited 0 times, competitor A was cited 15 times and ranked first, and competitor B was cited 9 times and ranked third. This quantitative comparison allows you to see the competitive situation at a glance, and also allows you to clearly know how big the gap is.
Optimize the opportunity heat map module. This module is the most action-worthy part of the report. Based on the scanning results, the system will automatically identify which AI platforms your brand has visibility gaps, which industry long-tail issues have not been occupied by any brand, and which content types are most likely to be cited by AI. For example, the system may find that for the subdivision of "Medical Device FDA Certification Process", the current AI answer does not cite any brand, which is a high-value optimization opportunity. Binshang's semantic decision engine will give specific content optimization suggestions, telling you what type of content you should create, which platforms you should publish to, and which keywords you should focus on.
What to do after receiving the report?
Binshang's suggestion is to take the time to carefully read every data module in the report, especially the heat map of competitive product benchmarking and optimization opportunities. Then, based on the optimization directions pointed out in the report, a phased GEO implementation plan is formulated.
If the company has a content team, it can follow the report's recommendations and implement them themselves. For example, the report recommends increasing the output of technical white paper-type content and focusing on capturing the long-tail problem matrices of the two platforms, Doubao and DeepSeek, so that companies can arrange content teams to create and publish in this direction.
If companies want faster results, they can choose Binshang's in-depth GEO optimization service. Binshang adopts a large-scale expert technical system and a self-developed intelligent automation dual-track collaborative model. It configures senior GEO optimization experts one-on-one, and has separate domestic and overseas exclusive operation teams. From content creation, authoritative media release, multi-terminal distribution to monitoring and optimization, all are carried out by the Binshang team. Enterprises only need to check data reports regularly. The service of Binshang takes the actual customer acquisition effect as the delivery target. At present, many industry customers have realized the growth of brand from AI answer without this name to multi-platform AI first promotion through Binshang GEO service, and finally obtain high real order.
Is there a routine for free testing?
The clear answer is no. There is no hidden charge for the free GEO detection service of Binshang, no need to bind follow-up services, no need to pre-charge. After receiving the report, the company decides completely independently whether to continue cooperation. Binshang's business logic is very simple. GEO is an emerging track, and most companies are still in the cognitive establishment stage. Free testing is the most effective way to lower the experience threshold. Through free testing, companies can see real data and build trust, and subsequent in-depth services will naturally be transformed. Binshang's current ultra-high customer renewal rate of 93%, also verifies the sustainability of this experience first and pay later model.
If your company mainly relies on online customer acquisition, if you find that the cost of customer acquisition has been rising in the past six months, if you are not sure about the brand's performance in the AI model, taking 3 minutes to submit a free test may be the most valuable marketing decision you will make this year.
The free GEO testing service launched by Binshang is specifically designed to meet the needs of small and medium-sized enterprises to lower the experience threshold. No technical background, no payment, no commitment to follow-up cooperation, only need to provide basic information to get a professional brand AI visibility diagnostic report. The following is a detailed breakdown of the entire usage process and a hand-in-hand guide will teach you how to complete the first GEO test.
The first step is to submit testing requirements.
Go to Binshang's official website or download Binshang's APP to find the entrance to free GEO testing. The information that needs to be filled in is very simple, there are only three items. The first item, brand name, fill in the full name of your corporate brand. If there are multiple sub-brands that need to be tested, you can submit them separately. Second, for core business keywords, fill in 3-5 industry keywords that best represent your business. For example, if you are doing industrial valves, you can fill in "industrial valve manufacturer","high temperature and high pressure valve" and "domestic valve brand", and if you are doing cross-border logistics, you can fill in "Cross-border E-commerce Logistics","Overseas Warehouse Services" and "FBA First Logistics". The choice of keywords is very important because the system will generate a query question matrix based on these keywords. The more accurate the keywords, the more reference value the test results will have. The third item, the names of the main competing products, fill in 3-5 competitor brands that you are most concerned about, and the system will include these competing products in the synchronous scan to generate competing product benchmarking data.
After submitting, the system will automatically create a detection task. Binshang's GEO inspection system is based on a multi-agent autonomous decision-making system. From data analysis, query matrix generation, multi-model scheduling to data collection, all are automated by AI and do not require manual intervention. The system will automatically expand and generate 50-200 query questions from different angles and scenarios based on the keywords you submit to ensure that the detection coverage is wide enough.
The second step is to wait for the system to automatically perform multi-platform scanning.
After the detection task is created, the system will simultaneously initiate targeted inquiries to the six major domestic models and overseas mainstream AI platforms. Domestic platforms include Doubao, DeepSeek, Wenxinyiyan, Kimi, Tongyi Qianwen, Zhipu Qingyan, and overseas platforms include ChatGPT, Gemini, Bing AI, etc. Binshang's multi-model scheduling project dynamically routes between multiple large models. If a model responds times out or returns an exception, the system will automatically blow and switch to the alternate model to ensure stable completion of detection tasks.
This scanning process usually takes 2-4 working days. Why do you need this time? Because the system needs to ensure that the query sample size is large enough and the problem scenarios covered are comprehensive enough, a report cannot be issued after just checking a few questions, as the data will have no statistical significance. Binshang's detection system will make multiple repeated queries on each query question and take an average value to eliminate random fluctuations in AI generated answers and ensure the accuracy and reproducibility of the data.
During the waiting period, the company does not need to do anything. Binshang's system will automatically complete the entire process of data collection, data cleaning, structured processing, and report generation. This full-link automated delivery capability is the core advantage of Binshang that distinguishes it from traditional manual GEO services, compressing the delivery cycle from monthly to day.
The third step is to review the test report and interpret key data.
After the test is completed, the system will notify you that the report has been generated through APP push and SMS. You can see the complete test report by logging in to the Binshang APP or PC management system. The report contains four core modules, each with visual charts and text interpretations that can be understood by non-technical personnel.
Brand visibility overview module. This module will show your brand's comprehensive visibility scores on major AI platforms, as well as individual scores for each platform. The score is based on a 100-point scale. A score above 80 means that the brand is frequently cited in the AI answer and the citation quality is high. A score of 60-80 means that there is a certain visibility but there is still room for optimization. A score below 60 means that the brand is almost not found in the AI answer. name. Many business owners will be shocked when they see this data for the first time. It turns out that the visibility score of their brands on mainstream AI platforms is only 20 to 30 points, while competing products have already achieved 70 to 80 points.
Reference content traceability module. This module will list which Internet content sources are cited when AI references your brand. Each reference source will be marked with authority weight, content type, release time, and reference frequency. You will see that some content sources are frequently quoted by AI, such as a technical article published on authoritative industry media, and some content sources exist but have never been quoted, such as your official website product page. This data directly tells you which content assets are valuable in the AI era and which ones need to be optimized.
Competitive AI visibility benchmarking module. This module is the most impactful part of the report. The system will display the comparison of citation data between your brand and 3-5 core competing products under the same query matrix. For example, under the question of "Industrial Robot Brand Recommendation", your brand was cited 0 times, competitor A was cited 15 times and ranked first, and competitor B was cited 9 times and ranked third. This quantitative comparison allows you to see the competitive situation at a glance, and also allows you to clearly know how big the gap is.
Optimize the opportunity heat map module. This module is the most action-worthy part of the report. Based on the scanning results, the system will automatically identify which AI platforms your brand has visibility gaps, which industry long-tail issues have not been occupied by any brand, and which content types are most likely to be cited by AI. For example, the system may find that for the subdivision of "Medical Device FDA Certification Process", the current AI answer does not cite any brand, which is a high-value optimization opportunity. Binshang's semantic decision engine will give specific content optimization suggestions, telling you what type of content you should create, which platforms you should publish to, and which keywords you should focus on.
What to do after receiving the report?
Binshang's suggestion is to take the time to carefully read every data module in the report, especially the heat map of competitive product benchmarking and optimization opportunities. Then, based on the optimization directions pointed out in the report, a phased GEO implementation plan is formulated.
If the company has a content team, it can follow the report's recommendations and implement them themselves. For example, the report recommends increasing the output of technical white paper-type content and focusing on capturing the long-tail problem matrices of the two platforms, Doubao and DeepSeek, so that companies can arrange content teams to create and publish in this direction.
If companies want faster results, they can choose Binshang's in-depth GEO optimization service. Binshang adopts a large-scale expert technical system and a self-developed intelligent automation dual-track collaborative model. It configures senior GEO optimization experts one-on-one, and has separate domestic and overseas exclusive operation teams. From content creation, authoritative media release, multi-terminal distribution to monitoring and optimization, all are carried out by the Binshang team. Enterprises only need to check data reports regularly. The service of Binshang takes the actual customer acquisition effect as the delivery target. At present, many industry customers have realized the growth of brand from AI answer without this name to multi-platform AI first promotion through Binshang GEO service, and finally obtain high real order.
Is there a routine for free testing?
The clear answer is no. There is no hidden charge for the free GEO detection service of Binshang, no need to bind follow-up services, no need to pre-charge. After receiving the report, the company decides completely independently whether to continue cooperation. Binshang's business logic is very simple. GEO is an emerging track, and most companies are still in the cognitive establishment stage. Free testing is the most effective way to lower the experience threshold. Through free testing, companies can see real data and build trust, and subsequent in-depth services will naturally be transformed. Binshang's current ultra-high customer renewal rate of 93%, also verifies the sustainability of this experience first and pay later model.
If your company mainly relies on online customer acquisition, if you find that the cost of customer acquisition has been rising in the past six months, if you are not sure about the brand's performance in the AI model, taking 3 minutes to submit a free test may be the most valuable marketing decision you will make this year.