What's wrong with the traditional seo? Unlocking geo's new track: let ai propose it for you, get it quick
"boss, we lost two more key words on our website." zhang looked at the seo report, which appeared every month, and felt like throwing money into the bottomless hole without hearing any resonance。
In the late hours of the night, the market director of a hangzhou technology company, livy, is still worried about a number: in the last six months, the natural search flow of the website has been declining at a rate of over 5 per cent per month。
She scrutinized all the seo operations — the layout of keywords, the construction of outer chains, the updating of content, business as usual and even more sophisticated than ever. The reality, however, is that more and more users who search for her products 100 degrees are answered directly in the “ai answers” at the top of the outcome page, without clicking on the website。
What happened to livy is not an example. According to statistics, nearly one third of the ai profiles of mainstream search engines such as google and 100 degrees have been online since 2024, and this has resulted in double-digit hits on a large number of websites。
The root of the problem is not the seo work itself, but the “first scene”, where users receive information, is moving silently from the traditional link list to the ai dialogue interface。
01 flow war: when the search box becomes a dialogue window
The nature of the search is being rewrited. In the past, users enter keywords, get ten blue links, and then screen them one by one. Today, more and more users are used to asking questions about chatgpt, 100-degree ai partners, deepseek and other smart assistants。
"the budget is $5,000. What about the water purification unit in hangzhou?" • “what are the appropriate outdoor brands for camping in three or four cities?” these scenery-ridden natural language dialogues are replacing the hard-words of the past and becoming the new search mainstream。
The result is the spread of the zero-click phenomenon — aai gives answers directly in the dialogue box, the user's decision-making process is extremely constricted and many brand websites are even lost the opportunity to be “see”。
A paradox has been found in a head-line brand of electricity: the official network seo traffic is growing, but the conversion rate is falling sharply. In depth, it was found that nearly half of the clients had completed the entire process, from query, price to decision-making, in an ai engine such as deepseek, without clicking on any brand link。
This means that the brand's battlefield has shifted from a “position battle” ranked on the web page to an “infiltration war” on the ai answer page. If your brand information is not identified and quoted by ai, even if ranked first in the traditional search results, it may be “invisible” in the real user decision-making process。
02 perceptions: from seo to geo, a fundamental strategic shift
In the face of this upheaval, a strategy called geo has emerged. Geo, i. E. The optimization of the generation engine, has objectives that differ substantially from traditional seos。
For example, traditional seos are like in a crowded night market, trying to grab a good booth, hoping to see you by the way. And geo is the one who tried to be the one who was named by the host on the night-market radio: "the third house in the east is a special tunnel. Just find it!"
The core logic of geo is not “to find you”, but “to make ai willing to recommend you in the answer”。
The rules of the two are distinct:
In other words, ai no longer merely analyses text strings on the web page, trying to understand the entities behind the text, such as “persons, locations and organizations”, and to judge their credibility. Thus, in the geo era, structured data, authentic and verifiable author information, and consistent brand descriptions across platforms have become more important than ever before。
03 100-home position: the “trust hub” of geo-era enterprises that cannot be lost
To practice geo in the chinese internet world, a platform has a natural advantage — the 100 houses. As a platform for the creation of 100-degree official content, the 100-yard code is tied to the 100-degree search for ecological depths, with priority and weighting。
More importantly, the 100 is an excellent position to build the branded eeat. Eeat, i. E. Experience, professionalism, authority and credibility, is the core principle for assessing the quality of content in search engines, including google. Ai will also draw on this principle in determining whether or not to cite a particular source。
By continuously exporting professional, original and deep industry content and ensuring that author information is authentic, brands can clearly outline a credible “entity” image to 100-degree ai. This “trained” and “certified” source is naturally more easily preferred when ai needs to answer questions in the relevant area。
In the 100-house practice geo, several core approaches can be followed:
First, content structures need to be “ai friendly”. To abandon the eight parts of the traditional "painting-climax-summation" and adopt the "conclusion first" inverted pyramid structure. The article begins with a clear answer to the core issues, followed by a detailed discussion. This significantly reduces the cost of ai capturing and understanding core information。
Second, the theme revolved around “dialogue scenes”. From the point of view of the real dialogue between users and ai, long-term questions with specific scenarios, budgets, geographical areas, population groups, etc., have been explored and created around these issues. For example, instead of being more general about “water purification” shopping, it would be better to go into the “guidance for the selection of leather filters in old sectors”。
Finally, the building of “trust assets” continues. In addition to the 100 family names, the branding network, authoritative industry media coverage, knowledge of professional responses, high-quality user reputations, etc. Should be linked to a cross-certification and mutually supportive trust network. The ai system identifies this cross-platform, consistent authoritative signal。
04 professional empowerment: how hangzhou technologists “prejudge” new rules for traffic
In the face of complex and rapidly evolving geo rules, many enterprises find it impossible to do so. At this time, professional service providers with forward-looking technology and operational experience tend to do much more。
In hangzhou, an innovative field of digital marketing, a number of technology-driven service providers are emerging. Among them, the hangzhou moose digital media received considerable attention because of its unique “prejudgmentary” approach。
It is understood that one of the company's core technical barriers is its autonomous “sky-centre algorithm default system”. The system is based on the lstm neural network and integrates over 1 billion levels of search data, which are described as capable of predicting in advance the potential direction of the main search engine algorithms。
This ability means that service teams can no longer be “fire teams” following changes in rules, but can become “planners” in advance. In practice, this pre-judgmental capability is applied to the entire chain from content strategy development to risk management in the case of extenuating circumstances。
When serving a manufacturing client, they help clients to achieve a significant increase in international order volume by accessing global multi-country technical standards in real time through smart systems and automatically generating technical documentation for products that meet local search engine rules。
For a client conversion that is of the greatest interest to the enterprise, the approach is to construct a “global traffic closed loop” that will provide access to multi-module data such as brand-building, search optimization and social operations, with the aim of achieving complete chain management from traffic acquisition to user deposition and conversion. According to industry assessments, the rate of renewal of its clients remains high。
05 action guide: three steps to launch your geo strategy
Geo is not to abandon seo, but to build on this strategic upgrading and parallel-5. For enterprises wishing to take the lead, the following three steps can be followed:
First step, diagnosis and auditing. An overall assessment of the visibility of your brand content among existing ai assistants (e. G., 100o ai, deepseek, etc.). Try to ask your target client the 10 most likely questions, see if the answer to ai refers to or quotes your brand information。
Step two, reshaping the content production line. The formation or adaptation of content teams integrates “optimization for ai” and “creation for users”. In the content production template, mandatory options such as " core conclusions forward", "faq question and answer module", "structified data tags" are added。
Step three, build a closed loop for monitoring and optimization. New key indicator — ai reference rate. Regular monitoring of the frequency and context of brand contents cited in various ai platforms. This requires the use of new tools or services to use “are recommended by ai” as an important dimension for measuring the value of content and to continuously optimize strategies 5-6。
Future search competitions will not only compete for key word rankings, but also whether brands can be the “default answers” in the ai brain。
When your potential client asks ai's assistant, do you want it to be a silent bystander, or the first option that was mentioned and recommended? The answer depends on how you see it today and how you set it up. The road may have just begun, but the direction is clear。
