How does AI understand Chinese EV information? The new era of 'AI citations' shown by Microsoft
In July 2026, Microsoft added four new features to 'AI Performance' in its 'Bing Webmaster Tools' service for site operators. The four additions are as follows.
Intent (user search intent)
Topic (themes understood by AI)
Citation Share (share of citations within AI responses)
Compare (time-series comparison of citation status)
At first glance, this is merely an analysis tool for website operators. However, this announcement is extremely interesting even from the perspective of someone following the Chinese EV and AI industries.
Microsoft has, for the first time, shown quite concretely what will be valued in information dissemination in the era of AI search.
From 'Search Ranking' to 'AI Citation'
Until now, what has been emphasized in SEO were search rankings, impressions, and CTR (click-through rate).
However, the situation is different with generative AI.
Users do not look at a list of search results; they ask AI directly, such as 'What is Huawei ADS?', 'What is AIVA?', or 'Why are Chinese Robotaxis spreading so rapidly?'
When AI generates those answers, which articles it cites as sources is beginning to become a new competition.
Microsoft's new features are attempting to visualize this world of 'being cited by AI'.
AI understands 'questions', not 'keywords'
The newly added Intent is symbolic.
Conventionally, the idea was to target keywords like 'EV'.
However, AI classifies content by the intent of the question, such as information gathering, comparative study, learning, and problem-solving.
In other words, the question itself, such as 'Why have Chinese manufacturers started putting AI at the forefront?', rather than 'EV', becomes the subject of evaluation.
This may potentially favor those who continuously follow the Chinese EV industry.
What Topic indicates
The topic is also interesting.
AI is not just reading individual articles. Huawei ADS, Robotaxi, Li Auto, BYD, AIVA...
It attempts to understand these groups of articles as a single specialized field of 'Chinese smart mobility' and 'AI automobiles'.
In other words, whether you are continuously digging deep into one field is becoming more important than individual articles.
This is likely a tailwind for specialized media that have been following Chinese manufacturers over the long term.
A new competition called Citation Share
What I paid the most attention to this time is Citation Share.
This is not search ranking.
It is an indicator that shows which information sources were cited and to what extent when AI generates a single answer.
In other words, it is a way of thinking that looks at 'how much presence it has in the AI's knowledge space' rather than 'what rank it was in search'.
This can be said to be a completely different concept from traditional SEO.
Chinese EV information cannot be conveyed by video alone
In the last few years, Chinese manufacturers have been distributing a vast amount of video content on Weibo, Douyin, WeChat, and so on.
Short-form videos and live streaming are powerful as touchpoints with consumers. However, in the era of AI search, the situation changes a little.
Although AI also utilizes videos, it requires structured text and background explanations to answer questions such as 'why did it happen' or 'what kind of strategy is it'.
In other words, the value of articles that not only introduce product announcements but also organize the background and the flow of the entire market may relatively increase.
Why did Microsoft move first?
What is interesting is that Microsoft, not Google, released this mechanism first.
Google also provides AI Overviews, but in its similar service 'Search Console', information such as how many times it has been cited by AI, evaluation by topic, and Citation Share is not currently disclosed.
Of course, it is not that Google lacks the technology.
Rather, since Google operates AI Overviews, it should possess this data.
However, Google has not traditionally been proactive in disclosing the details of its search algorithms.
If the details of AI citations were made public, it could lead to rapid, excessive optimization and spam targeting those specific metrics.
Furthermore, the balance with the massive search advertising business must be considered carefully.
Since Microsoft positions Copilot and Bing as the growth axes for AI search, it was likely easier for them to prioritize visualization for website operators.
Google is also likely to follow suit
That said, this trend is not something that will end with Microsoft alone.
Once AI search becomes mainstream, the question of 'Was my article cited by AI?' will become a more important metric than search ranking.
Therefore, it is highly likely that Google will also provide analytical features related to AI citations in the future, even if the form differs.
This is because once AI search becomes the mainstream, it will no longer be possible to measure the success of site operators based solely on 'search ranking'.
Chinese EV information dissemination also moves to a new evaluation axis
Microsoft's announcement this time holds significance beyond the mere addition of features to SEO tools.
AI is beginning to evaluate not just by picking up the keyword 'EV', but by assessing what questions can be answered, which fields possess expertise, and whether information is being disseminated that is continuously reliable.
The Chinese EV and AI industry is a field where both technology and business models change daily.
That is precisely why the value of disseminating information that accumulates background and context—not just simple breaking news—about 'why it happened' will likely increase even further in the AI search era.
We consider this an extremely important turning point for CHINA CASE as well, and it may force a fundamental review of our service operation structure.
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