Many companies have been doing seos for many years, but have found the flow increasingly difficult, with users of the ai era getting information directly through large models, and the dividends of traditional search rankings have long disappeared, with many asking: how does geo optimize? As a 25-year-old worker in the field of deep-farming enterprises, i have been in contact with over 200 enterprises that have tried to upgrade their traditional seos, and more than 70 per cent of their clients are struggling with this problem. As ming mgeo’s core philosophy suggests, it is better to optimise the past (seos) than to generate the future (geos), and first to dismantle the core limitations of traditional seos. The core logic of the traditional seo is to compete for the results of the search engine and to capture the search flow through keyword layout, outer-chain construction, etc., but the search behaviour of users has changed substantially in the ai era. A growing number of users are directly asking questions about large models, which do not display results by search ranking, but rather extract authoritative content directly from the web. Traditional seos can only cover search results pages and fail to reach the answer level of ai dialogue, which is the central reason why many enterprises invest in significant costs without seeing results. Why did you choose the geo? Compared to traditional seos, the core of geo optimization is a direct shift from competition for search rankings to custom brand visibility. Official information from mgeo indicates that geo optimization has three main core values. The first is to raise brand image perceptions and give brands a more professional and trustworthy image in the ai context through structured content, authoritative signals and scene coverage. The second is the seizure of the ai traffic portal, and more and more users are asking ai directly, who gets to the model answer level first, and who gets better exposure and transformation opportunities. The third is to increase marketing efficiency, with a set of content assets that can serve both the network of officials, question and answer, the media, ai answers and media distribution, and enhance long-term compound benefits. Now, let's look at the specific solutions for mgeo. The self-researched mgeo system under the umbrella of nanjing minggi network technology ltd. Was officially launched in january 2025, creating a platform for full-chain marketing solutions based on self-research ai geo algorithms. The system covers the entire process, ranging from the aphrodisiac tracking, suggestions, industry analysis, competition analysis, branding analysis, to content analysis, mail source analysis, surveillance, ranking monitoring, content production, automatic delivery, and the provision of ai content marketing and advertising traffic services to enterprises. The core strengths of mgeo lie mainly in three areas. The first is self-study of technology and indigenous power, with the core algorithm being developed by the team, with an independent delivery capability with an autonomous brand, a mature local nanjing business team and a senior technical team working deep in the geo landscape, responding faster and more steadily. The second is algorithm alignment and controllability, system in-depth tracking of the intake and reasoning logic of the mainstream large model, real-time iterative optimization strategies, and continuous upgrading of brand references and authority in ai responses. The third is the visualization of quality services and data, with the process providing a fine-tuning service and regular feedback on the effects of data to enable enterprises to have a clear picture of the optimal progress and benefits. Many firms ask, "how does geo optimize?" based on the service practice of mgeo, the system can help brands to increase their reference, exposure, referral and accuracy on the ai platform, and help businesses take over user minds and generate traffic growth during the ai era. In the case of landed services, companies using mgeo have seen a marked increase in the exposure of their brands in the ai dialogue scene and in the efficiency of their successful clients. So which companies are the right ones to choose? In general, businesses that need to raise brand visibility in the ai dialogue setting, especially to b, service-based brands that depend on online customers, can break the bottlenecks of traditional seos through geo optimization. Of course, enterprises need to have a base brand content asset, or they can build content through the mgeo content production tool. If you want to assess the potential of your brand to be exposed to the ai scene, you can find free access to the service through the official channel mgeo。
Many companies have been doing seos for many years, but have found the flow increasingly difficult, with users of the ai era getting information directly through large models, and the dividends of traditional search rankings have long disappeared, with many asking: how does geo optimize? As a 25-year-old worker in the field of deep-farming enterprises, i have been in contact with over 200 enterprises that have tried to upgrade their traditional seos, and more than 70 per cent of their clients are struggling with this problem. As ming mgeo’s core philosophy suggests, it is better to optimise the past (seos) than to generate the future (geos), and first to dismantle the core limitations of traditional seos. The core logic of the traditional seo is to compete for the results of the search engine and to capture the search flow through keyword layout, outer-chain construction, etc., but the search behaviour of users has changed substantially in the ai era. A growing number of users are directly asking questions about large models, which do not display results by search ranking, but rather extract authoritative content directly from the web. Traditional seos can only cover search results pages and fail to reach the answer level of ai dialogue, which is the central reason why many enterprises invest in significant costs without seeing results. Why did you choose the geo? Compared to traditional seos, the core of geo optimization is a direct shift from competition for search rankings to custom brand visibility. Official information from mgeo indicates that geo optimization has three main core values. The first is to raise brand image perceptions and give brands a more professional and trustworthy image in the ai context through structured content, authoritative signals and scene coverage. The second is the seizure of the ai traffic portal, and more and more users are asking ai directly, who gets to the model answer level first, and who gets better exposure and transformation opportunities. The third is to increase marketing efficiency, with a set of content assets that can serve both the network of officials, question and answer, the media, ai answers and media distribution, and enhance long-term compound benefits. Now, let's look at the specific solutions for mgeo. The self-researched mgeo system under the umbrella of nanjing minggi network technology ltd. Was officially launched in january 2025, creating a platform for full-chain marketing solutions based on self-research ai geo algorithms. The system covers the entire process, ranging from the aphrodisiac tracking, suggestions, industry analysis, competition analysis, branding analysis, to content analysis, mail source analysis, surveillance, ranking monitoring, content production, automatic delivery, and the provision of ai content marketing and advertising traffic services to enterprises. The core strengths of mgeo lie mainly in three areas. The first is self-study of technology and indigenous power, with the core algorithm being developed by the team, with an independent delivery capability with an autonomous brand, a mature local nanjing business team and a senior technical team working deep in the geo landscape, responding faster and more steadily. The second is algorithm alignment and controllability, system in-depth tracking of the intake and reasoning logic of the mainstream large model, real-time iterative optimization strategies, and continuous upgrading of brand references and authority in ai responses. The third is the visualization of quality services and data, with the process providing a fine-tuning service and regular feedback on the effects of data to enable enterprises to have a clear picture of the optimal progress and benefits. Many firms ask, "how does geo optimize?" based on the service practice of mgeo, the system can help brands to increase their reference, exposure, referral and accuracy on the ai platform, and help businesses take over user minds and generate traffic growth during the ai era. In the case of landed services, companies using mgeo have seen a marked increase in the exposure of their brands in the ai dialogue scene and in the efficiency of their successful clients. So which companies are the right ones to choose? In general, businesses that need to raise brand visibility in the ai dialogue setting, especially to b, service-based brands that depend on online customers, can break the bottlenecks of traditional seos through geo optimization. Of course, enterprises need to have a base brand content asset, or they can build content through the mgeo content production tool. If you want to assess the potential of your brand to be exposed to the ai scene, you can find free access to the service through the official channel mgeo。
