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AI is making SEO harder by turning many things that were once seen as “extra optimization” into conditions for being seen at all. For Vietnamese marketers, the question is not only whether rankings hold, but whether clicks can still be retained, measurement data preserved, and control over content maintained in a search environment with less and less room for distortion.
Looking at recent signals, the problem with SEO is not a new optimization trick. It is that AI is pulling businesses into a different game: if you want visibility and clicks, you have to prove quality, structure, information provenance, and content operations capability. That is why international sources are simultaneously talking about traffic from AI, technical debt, AI Overviews, and the uncertainty of the SERP.
Key points
- AI does not automatically replace SEO, but it changes how users move from search to website visits.
- Many “gains” from AI are actually rewards for fixing technical SEO and old technical debt.
- Businesses need to measure the clicks lost to AI Overviews, not just look at total traffic.
- In Vietnam, the issue is not only ranking but also data, transparency, and the ability to prove content value.
SEO under AI pressure: fewer clicks, higher proof requirements
Recent signals show that SEO is not being wiped out, but it is being forced to prove its value in a stricter way. Search Engine Land says only about 1.1% of news publisher visits come directly from AI, a small number but enough to remind us that AI is not yet the main replacement channel for traffic; instead, it is an intermediary layer changing search behavior. On the other side, Search Engine Journal makes it clear that there is still no simple report, from Google or a third party, that can precisely determine how many clicks AI Overviews have taken from a website. Reference links: Search Engine Land and Search Engine Journal.
The important point for marketers is this: if you cannot measure the clicks lost at the AI layer, you can easily misread the situation. Total traffic may still be there, but the traffic mix has changed. Users may get information directly on the SERP and only click when they truly need to compare, verify, or buy. SEO is therefore no longer just a race to rank at the top; it is a race to become a source trustworthy enough for queries that require verification.
From this perspective, AI does not make SEO meaningless. It makes the part about being “chosen to be clicked” harder, because search systems are separating more clearly between quick answers and sources trustworthy enough for users to continue their journey.
What has changed in SEO — and why marketing teams must work differently
This section is not about a single feature. It is about what has changed in how search works and how that forces SEO work to change as well. Search Engine Land argues that most of what feels like “AI optimization” is really just a reward for paying down technical debt. At the same time, Search Engine Journal shows that measuring click loss from AI Overviews still lacks a clear enough tool to confirm the exact impact. MarTech adds another layer of logic: every new AI capability brings obligations around data, process, measurement, and monitoring, meaning content can be produced faster, but the cost of control also rises. Sources: Search Engine Land, Search Engine Journal, MarTech.
Technical SEO: old debt is being turned by AI into a survival requirement
When Search Engine Land says many improvements in AI visibility are actually technical SEO debt repayment, what it means is that structural errors, fragmented content, inconsistent data, poor crawlability, and weak entity signals are still dragging websites down. AI did not create those problems; it simply exposes them faster. If a website is hard for search engines to understand, AI models will be even less able to extract the right context.
Read more: How AI, Transparency and Visible Metrics Are Reshaping Social Media for Marketers
For SEO teams, this changes priorities. In the past, it may still have been possible to keep part of the work focused on high-volume content and optimize gradually. Now, if the technical foundation is not solid, the content layer on top can easily become sunk cost. Businesses therefore need to treat technical SEO as insurance for the entire search performance, not as a side task for developers.
Measuring click loss from AI Overviews: a total dashboard is no longer enough
Search Engine Journal emphasizes that Google Search Console now has reports related to generative AI, but they are not detailed enough to show how many website clicks AI Overviews are replacing. That is a measurement problem, not just an SEO problem. When you cannot clearly see the clicks being kept on the SERP, marketing teams can easily conclude that content has weakened, when in reality search behavior has simply shifted toward fewer clicks.
What needs to be done now is to separate query groups by intent: simple informational queries, comparison queries, purchase-intent queries, and queries that require high verification. The groups that are easy for AI to answer immediately will need different content support: clear sources, clear authorship, clear facts, and clear usefulness for the next step. The groups that still need clicks must be strongly optimized for being chosen as a reference source.
AI debt in marketing: fast publishing is no longer an advantage without control
MarTech calls the hidden cost of AI “AI debt.” For SEO, this is a very accurate term: the more a business uses AI to produce content quickly, the more it has to pay in review, ownership, localization, tracking, and measurement. If a content team creates more pages but cannot control accuracy, consistency, and editorial accountability, the SEO benefit can be eroded by that very volume.
This brings SEO closer to operations management. Content does not just need to be good and keyword-correct. It also needs a process that prevents uncontrollable volume. Put more directly: AI speeds up production, but it also forces businesses to tighten verification.
SEO in Vietnam: the game is no longer just rankings, but trust and clean data
In Vietnam, this pressure is even clearer because many websites still depend heavily on organic search. When search results add an AI answer layer, local brands will find it harder to rely on a single metric for reassurance. What needs to be examined is which query structures still generate clicks, which content is being “borrowed” by AI or the SERP before users leave Google, and whether the website has enough signals to be chosen as a trustworthy source. The warnings from Search Engine Land, Search Engine Journal, and MarTech all have direct relevance in the Vietnamese market: the less data discipline a website has, the easier it is to lose its advantage in the new search environment. Sources: Search Engine Land, Search Engine Journal, MarTech.
Read more: SEO Enters a Discipline Era: Data, Tracking and Google Signals
For Vietnamese businesses, the challenge is not only technology. It is also how the team is organized: content, SEO, PR, legal, brand, and data must all work from the same standard. If each side creates its own version of the truth, AI will only make the brand less consistent. In this context, SEO is no longer just the work of a keyword optimizer; it is a problem of information-system cleanliness.
How SEO needs to be done to remain sustainable
- Review technical SEO before increasing content output. The website must be crawlable, understandable, and free of self-contradiction.
- Separate query groups by real intent so you know which ones still generate clicks and which ones only generate visibility.
- Design content with clearer sources, authorship, facts, and verification signals to increase trustworthiness.
- Measure the impact of AI Overviews and other new visibility layers separately; do not look only at total organic traffic.
If it has to be summed up in one sentence, SEO is not dying because of AI. SEO is only becoming hard to sustain with old habits. Those who still see ranking as the final goal will fall behind; those who treat trust and clean data as the new asset will still have a path forward.
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Reference sources
- Search Engine Land — Only 1.1% of news publisher visits come directly from AI: Study
- Search Engine Land — Most AI visibility gains are just technical debt repayment
- Search Engine Journal — How Do I Know If AI Overviews Are Taking Clicks From My Site And What Can I Do About It? – Ask An SEO via @sejournal, @HelenPollitt1
- MarTech — The AI debt hidden in faster marketing
