Large models subvert traditional search winds and have reached the level of commercialization strategies。
The latest report of the quantum-bit think tank found that:
The traditional seo is also being re-engineered as ai's smart assistant replaces the search。
Seo (search engineering optimization), the search engine optimization, refers to methods and strategies to improve its natural ranking in the search engine by optimizing the site and content, thereby attracting more traffic。
It can be said that in the internet age, seo is one of the most basic and important components of the commercialization chain of searches and an important element in improving the quality and experience of internet content。
And when the questioning engine model gradually turns into questioning assistant in a big model storm, users need more answers than the `judgement' of the big model, and seo has reached the point where it needs to be oriented towards aig optimization。
The quantum think bank's seo strategic change study of ais smart aides presents the following observations through an experimental analysis:
More details of the report are provided below, which we interpret one by one。
Professional areas need more professional content
The report uses a simulator-based user-based approach to sample the ai assistant's source of information to analyse changes and trends in content weights under the ai search mode。
Quantities think tanks designed a total of 30 questions, which were used for experiments using social hotspots and expertise for two broad directions. The smart assistants to the test are deepseek, bean bag, kimi, ting tsing yuanbao, man qui, quiz and pitai。
What is the fire of black myths goku
Topics of expertise such as hot and cold water in both refrigerators, which ice first
To ensure the reliability and statistical significance of the results, the experiment used the following testing mechanisms:
A total of 630 valid data were obtained from the experiment。
Content communities are being pushed closer to the information portal
The results of the experiment showed that search is no longer the "underground" of the information portal, and almost half of the ai answers in the experiment were from the content community。
Through precision distribution methods such as interest labels and smart recommendations, content communities have gained information density beyond traditional encyclopedias or news platforms, and the accumulated mass of multi-dimensional information covers a wide range of areas, from life experience to expertise, and this diversity has brought significant advantages in non-structured issues。
In professional subjects, content communities are given a higher priority
It is a matter of concern that, in the concentration of “expertise” issues, content communities are twice as likely to be referred to as “social hot spots”。
In the "social hotspots" cluster, 95 of the 267 valid questions and answers by ai assistants were from the source communities, accounting for 35. 6 per cent of the total。
At the same time, the percentage of ai assistants referring to content communities reached 62. 4 per cent in the concentration of "expertise" problems。
Quantities think tank analysis suggests that this relates first and foremost to differences in information type and demand。
The issue of expertise requires in-depth and structured information, and the strength of the content community lies precisely in the accumulation of extensive professional discussions. By contrast, sources of information on social hotspots continue to rely more on time-bound news or portals。
Even so, more than 30 per cent of responses to social hotspots still originate from community platforms, reflecting the capacity of content communities to discuss hotspot events in real time。
Knows the most frequent quotes in the content community
The experimental data also show that, of the total number of questions, ai intelligence assistant quotes 29. 9 per cent of the known frequency, which is much higher than 7. 6 per cent in the second station。
In addition, among health-related issues, there is a marked increase in the exposure of health-related communities。
Quantum think tank analysis, content communities have a large number of user-generated content, and ai intelligence assistants still need to identify the quality of the reference when searching, so the professionalism of content knowledge communities clearly has an impact on the weighting of the reference。
When reference is made to content community sources, ai smart assistants are also interested in assigning different weights to the authority and professionalism of different communities。
A further analysis by the think tank revealed that under social hotspots, ai intelligence assistant quotes 24. 7 per cent of the frequency, while the concentration of expertise issues increased to 35. 3 per cent, an increase of 10. 6 per cent。
The answer to the question of expertise is the same as twice the answer to the question of social hotspots。
As a result, search in the ai era requires not only content communities, but also knowledge content communities to perform better in more professional topics。
Al's assistant replaces traditional search. Professional content community values
In order to capture the strategic opportunities of generating ai, which is a subversive technology, in a rapidly iterative market environment, and to build competitive advantages on a continuous basis, the quantum think tank believes that the seo strategy for ai's smart assistant should shift to spo (optimal for professional communities)。
The underlying causes can be analysed at two levels。
At the user level, the new user needs of the ai era have made the user experience a central search ranking factor。
Uplifting the user experience, at the technical level of the large model, is reflected in deeper thinking of the model under the reasoning line。
The trend can be seen that models such as “deep thinking” and “long thinking” require structured responses to users。
First of all, an accurate analysis of the user's intentions has had a significant impact on past seo keyword strategies。
Secondly, the diversity of information is emphasized by providing reliable information to support every thought-based intention and by quoting it correctly。
Finally, to integrate information into structured responses, each element needs to be developed in detail, consistent in content and specific strategies and methodologies, which place higher demands on the quality of information。
Therefore, for a search-oriented and optimized website, there is a need to rethink content — the new ecological competition of ai smart assistants, the continuous creation of content values, the more accurate enhancement of impact, and the value of communities of expertise more important than ever before。
The share of low-quality information portals will be lower and the share of more specialized content communities will be higher. This also means that the vertical content community can more easily gain access to traffic through content quality, and the age of capturing traffic through a pick-up method such as keyword stacking is over。
On the other hand, it is a matter of concern that a professional content community such as this, which accounts for 35. 3 per cent of the questions and answers on the subject of expertise, is more valuable than ever before。
For model producers, how to tap the greater potential of high-quality content in such professional communities is also a key issue for thinking on the technical route of modelling capacity evolution。
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