Contents
- AI Search and SEO: why one channel is not disappearing, but the value standard has changed
- What changed in Search Console AI reports — and why SEO has to measure differently
- Which SEO mechanisms AI Search is changing: measurement, citation rights, and compliance risk
- SEO in Vietnam will be pushed toward transparency, structure, and explainability
- What SEO must do with AI Search to keep real value
- References
SEO is not disappearing, but its role is changing quickly: from optimizing for more clicks to optimizing for being in the right place, in the right context, and with enough transparency when users receive answers from AI. For Vietnamese marketers, the important point is not only that traffic may be redistributed, but also how measurement changes, how value is proven, and how to keep the brand from becoming “blurred” in AI answers.
At the same time, Google is expanding Search Console AI reports globally, studies show users are not leaving Google for AI in an absolute sense but are using both, and warnings about the gap between traditional ranking and AI recommendations are becoming clearer. That signals SEO must move to a new standard: not only optimizing to rank, but also to be seen, cited, and explained by AI.
- Key point:
- SEO is being pulled from a traffic problem into a problem of presence in AI answers and citation potential.
- Search Console AI reports help show where pages appear in AI features, but they do not show business outcomes.
- Users still use both Google and AI, so SEO must serve traditional search and AI search at the same time.
- In Vietnam, the new priorities are verifiable content, clear structure, and more transparent measurement.
AI Search and SEO: why one channel is not disappearing, but the value standard has changed
Two source items point in the same direction. Search Engine Journal cites Google’s announcement that Search Console AI reports have opened to all websites worldwide, while Similarweb, as quoted by SEJ, shows that 95% of ChatGPT users are also part of Google’s audience. In other words, this is not a story of “Google being replaced,” but of AI being added to an existing search journey.
From a marketing perspective, this is a change in the evaluation standard. If SEO used to be judged mainly by position and clicks, brands now also have to ask: do we appear in AI answers, in what kinds of queries, and are we mentioned in a way that keeps users trusting us? When users move between Google and AI, a page may still rank well but not be chosen by the AI model as a source of answer.
This matches the warning from HubSpot in the Search Engine Journal article: traditional ranking and AI search recommendation run on two separate systems. So doing SEO by old habit can easily lead to a situation where you “win the SERP but lose the answer.”
What changed in Search Console AI reports — and why SEO has to measure differently
Search Console AI reports: you can see where you appear, but not the full value
Google says the new reports record impressions from AI Overviews, AI Mode, and some AI experiences in Discover, broken down by page, country, and date. That is useful because SEO teams now have another way to check which pages are entering Google’s AI ecosystem. But Google also says not every property will have the report, and pages with too few AI impressions may not appear yet.
The lesson here is not “there is a new dashboard,” but that the new measurement standard still lacks the business layer behind it. A page shown by AI does not necessarily generate clicks, leads, or revenue. So marketers should not treat this report as a final conclusion. It is only a visibility indicator.
Source link: Search Engine Journal.
AI visibility spot check: intuition alone is not enough to make decisions
SEJ, in its article on measuring brand visibility in AI answers, stresses that a few self-made prompts to see whether a brand appears do not tell you the real appearance rate. Seeing it once, not seeing it once, or seeing it differently across ChatGPT, Claude and Perplexity is still not enough to draw a conclusion.
What SEO teams need to change is the way they check. Instead of asking “does it appear,” they should ask “in which prompt groups does it appear,” “how consistent is it,” “which sources is the model prioritizing,” and “which content needs to be rewritten to be selected more easily.” This is the shift from isolated observation to systematic measurement.
Source link: Search Engine Journal.
Traditional ranking and AI recommendation: two different optimization paths
HubSpot argues that traditional ranking systems still depend on relevance, backlinks, technical structure, and user signals, while AI recommendation has its own logic. In short, content that is good for the SERP is not necessarily good for an AI answer. The two systems can overlap, but they do not fully match.
This forces SEO teams to write and organize content around two layers of goals: one layer to keep winning search queries, and one layer to increase the chance of being cited correctly by AI. Content needs clear sources, clear definitions, less ambiguity, and a structure that is easier for machines to read.
Source link: Search Engine Journal.
Which SEO mechanisms AI Search is changing: measurement, citation rights, and compliance risk
Citation rights are becoming a new SEO asset
When AI answers instead of just pointing to links, the value SEO creates is no longer only clicks. It is also whether the brand is used as a source, whether it is named correctly, and whether it keeps a presence in the context where purchase decisions are made. SEJ’s analysis of visibility in AI answers shows this is the area marketers need to monitor closely.
Along with that, Google’s Search Console AI reports let you look back at which types of pages are present in AI features. From these two sources, one major change is clear: SEO must move from “bringing users to the website” to “winning a place in the answer.” For brands with weak authority or loose content structure, the risk of being skipped by AI will be higher.
This is especially important for comparison content, advice content, financial health topics, or any subject that requires high trust. There, AI is not only choosing which page is well written, but also which page is clear enough not to create risk for the answer itself.
Data transparency and content structure are deciding who AI prioritizes
HubSpot notes that AI models do not choose sources the same way classic search engines do. Google, meanwhile, shows that AI visibility data is being recorded by page, country, and date. Put together, these signals show that content structure and transparency are becoming mandatory, not just technical extras.
Marketers should review how they write pillar pages, FAQs, comparison pages, product pages, and support materials. If the important answer is buried too deep, lacks context, or lacks sources, AI will find it harder to trust. By contrast, content with a clear structure, simple language, and verifiable information will be easier for answer systems to use.
This is not only a technical SEO issue. It is also about reducing compliance risk: if AI reuses brand content, is that content clear enough not to distort the information? For businesses, this is directly tied to brand governance.
Multi-platform users are forcing SEO to work on several fronts
Similarweb, as cited by SEJ, shows that ChatGPT users are still almost all present on Google. That means users are not abandoning traditional search. They are simply adding another search layer to the decision-making journey. So SEO cannot optimize only one touchpoint.
A more realistic approach is to design content for both short Google queries and longer questions in AI tools. Content should be concise enough to index well, but also deep enough for AI models to extract the main point. Whoever does both well will keep a wider reach.
SEO in Vietnam will be pushed toward transparency, structure, and explainability
For the Vietnamese market, this change arrives in a very practical way. Most businesses still need traffic from Google, but buyers have already started using AI to ask questions before clicking. That creates a new gap: a brand may still invest steadily in SEO, but if its content is not clear enough and trustworthy enough to be chosen by AI, the advantage will slowly erode.
In Vietnam, many teams still measure SEO mainly by keyword ranking and traffic sessions. That is not enough to understand whether they are being seen by AI. Businesses should add indicators such as: which pages are mentioned by AI most often, which query groups create higher visibility, which content AI skips even though it ranks well, and what share of answers lead users back to the brand.
The second point is that Vietnamese content needs to be written more clearly and with less fluff. AI does not like roundabout wording. Vietnamese readers do not either. If an article has vague definitions, a messy structure, or no source references, it will struggle to persuade users and serve AI systems at the same time.
What SEO must do with AI Search to keep real value
- Measure AI visibility alongside ranking and clicks; do not rely on personal intuition to conclude whether the brand appears in AI answers.
- Rewrite important pages with a clear structure: definition, evidence, conclusion, FAQ; avoid vague or rambling language.
- Prioritize verifiable topics, especially pages that directly affect purchase decisions.
- Treat Search Console AI reports as an opening signal, then connect them to conversions and revenue to see which visibility actually has value.
SEO is not dead now. It is simply being pulled into a harder arena: one where the brand must be seen by machines, trusted by people, and explainable by systems at the same time. Those who keep the old mindset will see traffic slow down without understanding why. Those who update how they measure and how they write will still have room to preserve value.
See more marketing analysis and how-to content at https://marketing365.vn.
Follow more analysis from Marketing365 to stay updated on the latest marketing trends.
Read more articles in the same category Digital Trends.
References
- Search Engine Journal — Search Console AI Reports Go Global, Mueller On Recovery – SEO Pulse via @sejournal, @MattGSouthern
- Search Engine Journal — How To Measure Your Brand’s Visibility In AI Answers (And Fix What You Find)
- Search Engine Journal — People Aren’t Leaving Google For AI. They’re Using Both via @sejournal, @MattGSouthern
