Contents
SEO is no longer just a game of fighting for positions on the search results page. As AI becomes the intermediary layer between users and websites, the value of SEO is shifting from “how many clicks it brings” to “how much the system trusts, cites, and prioritizes it.” For Vietnamese marketers, this change directly affects how content is built, how performance is measured, and how budgets are allocated.
What stands out is that many recent developments are moving in the same direction: search is fragmenting into multiple layers of discovery, while the signals machines can read are becoming more important than signals meant only for human readers. If businesses keep the old SEO mindset, they may still get traffic, but they will gradually lose visibility in new search environments.
- Key point:
- SEO is shifting from optimizing for clicks to optimizing for being trusted by AI and discovery systems.
- The gap between “being mentioned” and “being clicked through” is widening, so measurement must change too.
- Content structure, structured data, and machine readability are becoming the new competitive foundation.
- Vietnamese marketers need to prioritize building reliable information sources instead of simply increasing article volume.
What is happening
The overall picture is that search is no longer as unified as it once was. Search Engine Journal shows Jeff Dean leaving Google to start a new AI company, while Demis Hassabis steps into the role of Chief Scientist at Alphabet, reflecting how AI has become a strategic center at the leadership level of the search ecosystem [1]. At the same time, Search Engine Journal also describes a more uncomfortable reality for SEO: AI referrals often send users to landing pages that do not match the original intent, exposing a classic conversion problem in a new distribution layer [2].
At the same time, the concept of discoverability is expanding beyond Google Search. Another analysis on Search Engine Journal emphasizes that users now find content through social media, AI assistants, recommendation engines, Google Discover, podcasts, and newsletters, not just through traditional search engines [3]. In other words, SEO can no longer continue to see itself as an independent channel; it is being pulled into a multi-touch discovery ecosystem.
This is further reinforced by Microsoft and Search Engine Land from a tools perspective. Microsoft Advertising has expanded AI visibility reporting in Clarity to group AI citations by topic [5], while Search Engine Land shows that AI agents read the accessibility tree rather than simply “looking” at the interface [8]. In other words, what machines can understand, not just what humans can see, is becoming a new layer of visibility infrastructure.
Why SEO advantage is shifting toward “machine-readable signals”
The common thread across these developments is that AI does not reward websites simply for “having lots of content,” but for providing clear, consistent, and easy-to-verify signals. Search Engine Journal’s article on click worthiness argues that businesses need to become highly trusted sources of truth if they want to be recommended by AI [4]. This is a very important shift: SEO is no longer only optimizing for rankings, but also for the probability of being chosen by AI as a reference source.
Search Engine Land also provides additional evidence through research on topical focus: brands with stronger topical focus tend to be mentioned more strongly when expanding into adjacent topics, although the effect is not uniform across industries [7]. This suggests that “depth of expertise” is accumulating into a new kind of search asset, closer to brand authority than keyword authority.
When combined with SEJ’s AI referrals context [2], we see a paradox: AI can cite deeply, but users are often sent to very shallow touchpoints such as the homepage. If a website lacks the right content structure and conversion paths, businesses lose on both ends: they are not prioritized by AI in the right context, and they fail to convert traffic when clicks do happen.
The real cost of keeping the old SEO mindset
The biggest cost is not an immediate drop in rankings, but being gradually “invisible” across new discovery surfaces. Search Engine Journal’s article on AI visibility measurement emphasizes that traditional SEO metrics are weakening as AI answers grow, forcing marketers to clearly distinguish between leading indicators and outcome metrics [10]. If businesses continue focusing only on organic sessions, they will measure the wrong problem: traffic may be falling not because demand is down, but because the touchpoint has moved elsewhere.
Search Engine Journal’s piece on discoverability also points out that users are becoming less loyal and less trusting of news, but they prefer people and authenticity [3]. That means “safe but soulless” content will struggle to win in the new search environment. Marketers are no longer enough if they simply write for keywords; they need to prove experience, expertise, and brand consistency.
At the technical layer, Search Engine Land shows that AI agents read the accessibility tree as a foundational semantic layer [8]. If a website is heavy on scripts, vague in semantics, or lacking clear structure, businesses may exclude themselves from the machine’s interpretation process. This is no longer just a topic for the dev team or accessibility compliance; it is an SEO performance issue in the AI era.
What this means for the Vietnamese market
For Vietnamese businesses, the clearest consequence is that SEO competition will split in two. On one side is traditional SEO, which is still needed to retain traffic from classic search. On the other is the “SEO for AI search” layer, where brands must be understood by machines, trusted by systems, and cited consistently. Businesses that produce content at scale, lack original data, lack expert authorship, and lack clear content structure will face greater risk.
The Vietnamese market also has a specific characteristic: many businesses still see SEO as a “cheap” channel for generating leads. But when discoverability becomes fragmented and clicks are no longer the only unit of value, strategy must shift toward building a brand “source of truth.” This is especially important in sectors such as finance, healthcare, education, B2B SaaS, and e-commerce, where AI will increasingly rely on trust signals to choose sources.
In short, SEO in Vietnam is not dying; it is maturing into a more systemic challenge that includes content, data, technical UX, brand recognition, and machine readability. Those who only optimize for keywords will increasingly be at a disadvantage against competitors who know how to build real authority.
What to do now
- Review your pillar pages: which page is the official source of truth for each topic, and which pages are only supporting content.
- Standardize content structure with clear headings, structured data, and author/expertise information that is easy to verify.
- Track additional metrics related to AI visibility, branded search, and citation potential, instead of looking only at organic traffic.
- Redesign landing pages around real search intent, instead of letting AI send users to a page that does not match the context and then forcing them to find their own way.
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References
- Search Engine Journal — Google Chief Scientist Who Helped Build Modern Search And AI Steps Away via @sejournal, @martinibuster
- Search Engine Journal — AI Referrals Are Recreating The Oldest Mistake In Conversion Optimization via @sejournal, @slobodanmanic
- Search Engine Journal — The Future Of Discoverability
- Search Engine Journal — When AI Takes The Click, Click Worthiness Should Guide Your Strategy via @sejournal, @billhunt
- Search Engine Journal — Microsoft Advertising Adds AI Visibility Insights, PMax Testing, And Creative Preview Updates via @sejournal, @brookeosmundson
- Search Engine Land — Does topical focus make your brand more visible?
- Search Engine Land — 10 SEO use cases for auditing your accessibility tree for AI search
- Search Engine Journal — AI Visibility Measurement: What To Track & What To Ignore
