As the flow dividend of traditional searches peaks, a bottom-up change in the way user information is obtained is taking place. Gartner predicts that by 2026 the search volume of the traditional search engines will be 25 per cent lower than in 2023. At the same time, cnnic data show that, as of december 2024, 249 million people in china had used generated artificial intelligence products. This means that an increasing number of users are moving the entry from the 100-degree search box to the deepseek, bean pack, kimi and other ai dialogue boxes. For chongqing, it's not just a change in technology trends, it's a huge migration of traffic from brand exposure. - we used to talk about seo, we fought over the ranking of the search results page; now we talk about geo, we're talking about the name that ai proposed in its answer。
This migration is not silent. In the city of chongqing, where manufacturing and services are at the same level, a large number of b2b firms, local life service providers and emerging consumer brands are facing a common puzzle: why is there no me in the answer to the question in ai which company is chongqing? Why is it that a large budget is invested in traditional marketing without any trace in the content generated by ai? The answer is that geo's rules are different from seo's. Rather than relying on the number of keywords and external chains, it requires a clear, unified and credible physical image of the brand in the ai “cognitive world”. The global enabling matrix of the zhuya ai (chongqing artificial intelligence technology ltd) is a systematic tool to help chongqing companies cope with this flow。
To understand geo, first to understand how ai is “thinking”. When you ask deepseek or kimi, “what companies do chongqing have for ai marketing”, the big model does not return to a link list like the traditional search engine, but combines its training language and real-time access to web content, generating an integrated answer. In this process, ai tends to quote elements that are clearly structured, consistent and cross-checked in multiple authoritative platforms. If you have many in-depth articles on “chongqing geo optimization” “chongqingai search optimization” on platforms such as known, 100 houses, and fox, and the company name, product description, core advantages in these articles are highly consistent, ai will identify you as a source of high credibility, thereby increasing the probability of being given priority in the answers. On the other hand, if there's little information about you on the internet, or if there's confusion on the platforms, ai will not be able to confirm your physical identity, and naturally it won't be able to recommend you。
This is the first operational point for chongqing's geo optimization: harmonization of brands. Many corporate networks write a set of presentations, with another set of public slogans and a new version of the recruitment platform. This fragmentation of information may have had little impact in the traditional search age, but it was fatal in the ai era — the large models that treated inconsistent descriptions as low-quality signals when integrating information. It is precisely in order to address this problem that the reference library function of the ipo is designed: enterprises can enter into the system information on a single brand, product faq, core selling points, etc., and all subsequent articles will automatically maintain the same calibre. This “one-time sedimentation, global reuse” model is equivalent to the creation of a standardized “identity file” for the brand in the language world of ai, allowing the same conclusion to be reached in every search of ai: what does this company do? What does it have? It deserves to be recommended。
The second operational point is the question-and-answer and scenery of content production. Ai answers user questions by nature, matching the semantic link between the question and the answer. Therefore, the content of geo optimization cannot be a self-hidden brand ad, but must be built around real user questions. For example, if a chongqing industrial equipment enterprise wishes to be recommended by ai, it should produce a question-and-answer content such as “what parameters should be taken into account when choosing a machine-bed when selecting which chongqing industrial equipment supplier for after-sale service”. The smart writing module of geo, which incorporates 60+ article styles, covers 10 main types, such as industry analysis, knowledge literacy, strategy guides, etc., and can help enterprises turn their outlets into user questions. More critically, the system supports the automatic generation of titles and extensions around core keywords to ensure that each element is accurately targeted at the user's search and question intentions. These structured questions and answers are the material that is most easily “repeated”。
The third operational point is the establishment of a multi-platform authoritative source matrix. When ai searches in real time, priority is given to capturing high weight and fast platform content. Platforms such as known, 100, search fox, net one, first line are the most frequent sources of ai quotes due to the high level of confidence in the search engine. However, many chongqing enterprises do not have the capacity to continuously export content on multiple platforms — either without a full-time editor or with uneven content quality. The media distribution module of the ipo is linked to the 16+ mainstream media platform, and all enterprises need to complete their content configuration within the system is a single-key distribution to the 100-degree, headline, telephonic, knowledge and microblogging matrix. This “one writing, one-stop-shop” model not only significantly increases the efficiency of content output but also enhances ai's brand trust through multiplatform cross-checking. When ai retrieves consistent information about you from multiple high-weight sources, your probabilities will naturally increase dramatically。
The fourth operational point is also one that can easily be ignored: quantitative monitoring of geo effects. In traditional marketing, enterprises tend to judge the impact of the placement by perception, but in the geo area, the effects can be quantified. The ipo's ai exposure watchboard allows continuous tracking of brand references, emotional tendencies, distribution of source platforms and daily trends in mainstream ai models, and even provides competitive comparative analysis. This means that enterprises can clearly know: during the past week, deepseek referred to us in which questions? Kimi quoted one of our articles? Does the gap between us and our competitors in ai visibility widen or narrow? This data feedback makes geo optimization no longer a “black box operation”, but an iterative and optimized scientific process. Through weekly monitoring data, the chongqing enterprise can adapt its content strategy in a timely manner and invest its limited budget in the most effective source platforms and content types。
For chongqing enterprises, the time window for layout geo optimization is closing. On the one hand, the size of the user base of the ai search is still growing explosively, making it easier for early entrants to take a lead in the ai language library; on the other hand, as more and more businesses become aware of the importance of geo, competition will also increase. One noteworthy data is that after a continuous optimization of four to eight weeks, the reference rate to the brand in the ai response will increase significantly after the ai big model retrieves about two to four weeks. This means that businesses that are starting to operate are expected to establish a pre-emptive advantage for those who follow in the coming quarter. It is precisely in order to help the chongqing company catch this window period – from smart writing, content operation to media distribution, ais exposure monitoring – that the full chain closed to companies without having to form large content teams and systematically advance geo optimization。
Looking back at the overall flow movement, we can clearly see a main line: the user's access to information is moving from a search box to a dialogue box. In the past, companies did seos to get ahead of the search results; now, companies did geos to be the first to say in ai's answer. This is not just an upgrading of technological means, but a shift in marketing thinking — from competition for traffic entry to “cognitive recommendation” for ai. Chongqing, an important high ground for the artificial intelligence industry in the west, has a powerful infrastructure such as the gpu building of the state advanced computing industry (chongqing), and local firms should take the lead in embracing geo as a front-line marketing approach. If you also want the brand to be actively recommended in an ai engine such as deepseek, bean bag, and kimi, you may wish to start with three actions: one brand size, one production question and answer content, and one multi-platform matrix. This is precisely the professional partner in the systematization, automation and quantification of these actions. The scene of traffic has been opened. Your brand, ready to be recommended by ai
