Contents
- Before AI Search, SEO has shifted from traffic to the right to be cited
- What has changed in AI Search — and what SEO has to do differently
- How SEO measurement is being pushed toward transparency and accountability
- How SEO in Vietnam will be pushed toward content structure and trust
- SEO will keep its value if the marketing team locks in these three things
- References
AI Search không chỉ đổi cách người dùng tìm thông tin; nó còn đổi luôn cách SEO được đánh giá. Với marketer Việt Nam, câu hỏi không còn là “đứng top bao nhiêu từ khóa”, mà là nội dung nào đủ rõ, đủ đáng tin để được máy trích dẫn và con người kiểm chứng.
Luận điểm của bài này khá rõ: SEO đang bị kéo từ cuộc đua traffic sang cuộc đua về tính giải trình. Ai tổ chức dữ liệu, nội dung và đo lường tốt hơn sẽ giữ được giá trị trong môi trường tìm kiếm mới.
Điểm chính
- AI Search và Answer Engine đang làm thay đổi chuẩn thắng của SEO: được trích dẫn, không chỉ được click.
- Đo lường cũ dễ lệch vì mỗi nền tảng định nghĩa engagement, attribution và giá trị khác nhau.
- Doanh nghiệp cần thiết kế nội dung, tracking và governance để chứng minh giá trị thay vì chỉ báo cáo lưu lượng.
- Ở Việt Nam, lợi thế sẽ nghiêng về thương hiệu nào làm SEO gắn với kiểm chứng, cấu trúc và minh bạch.
Before AI Search, SEO has shifted from traffic to the right to be cited
HubSpot shows that answer engines are changing the rules of SEO: it is not always the biggest website or the one with the most backlink that wins, but the content the answer system trusts enough to use as a source. Search Engine Journal’s piece on Gemini also says Google is viewing AI as an agent that can act, not just a chatbot that answers questions. As search tools move closer to a “read, choose, cite, synthesize” model, SEO is no longer just about optimizing to get users to click as much as before.
At the same time, the Search Engine Roundtable story about Google’s disavow tool recalls an old but still true reality: search systems still leave room for mechanisms that control and process input signals, but they have their own “when” and “where.” That shows SEO is not disappearing; it is simply becoming stricter about the quality of the signals a website creates.
For marketers, the implication is clear: content has to answer real questions, be structured so machines can read it, and stay consistent enough for AI to trust it. Traffic still matters, but traffic is no longer the only proof of SEO value.
What has changed in AI Search — and what SEO has to do differently
This section looks at the changes that have been clearly announced and that directly affect SEO work.
AI search cites content: the job is no longer to stuff in more keywords
HubSpot describes answer engines as an environment where content has to be “trustworthy” to the system in order to be included in answers. Search Engine Journal adds context by framing Gemini as an agent, meaning the tool does not just understand questions but also tends to choose the right action, including choosing sources. For SEO, this forces content teams to write in a way machines can break down: clear definitions, concise paragraphs, separated ideas, and data with context.
Google Gemini is moving toward an agent model: SEO must serve both readers and source selection systems
The Search Engine Journal interview shows Google DeepMind viewing Gemini as an agent, not just a response model. When a system is designed to support action, it will prioritize sources it can use immediately: clear meaning, less ambiguity, easy to verify. This directly affects how service pages, how-to articles, and FAQs are written. The more “literary” the content, the harder it is for the system to treat it as a usable source.
The disavow tool still matters: controlling bad signals remains part of SEO
Search Engine Roundtable quotes John Mueller as saying the disavow tool “does have effects,” but should only be used at the right time. The key takeaway is not to go back to chasing backlinks at any cost, but that SEO still has a very practical job: cleaning up weak signals, limiting risk from the link ecosystem, and knowing when to intervene. In a context where AI Search prioritizes trustworthy sources, keeping a clean signal profile matters even more.
How SEO measurement is being pushed toward transparency and accountability
MarTech points to a familiar but difficult problem: marketers often build measurement systems around their own goals, then blame platforms when the numbers do not match. The article stresses that the way a campaign is designed, named, attributed, and assigned responsibility determines whether the data can be explained. In SEO, that means if a business only looks at visits or keyword positions, it will not know which part is actually creating value.
MarTech also discusses OpenAI and how AI can help build campaigns very quickly, showing the broader marketing trend toward more automation, but the more automated things become, the more measurement discipline is needed. SEO is following the same path: as AI Search changes touchpoints, the hardest part is no longer creating content, but proving how that content contributes to pipeline, revenue, or brand awareness.
Design tracking before writing content: otherwise SEO numbers will only look good
The core point from MarTech is that good or bad measurement depends on how you build the system from the start. SEO cannot be separated from analytics, CRM, dashboards, and naming conventions. If query, landing page, intent, and outcome are not connected, businesses will always argue over whether a piece of content is useful or just “driving traffic.”
Answer engine citations make old KPIs incomplete: impressions and clicks are no longer enough
When AI Search cites directly, part of the value may lie in the brand being mentioned in the answer, even if clicks do not rise accordingly. HubSpot shows that cited brands are not necessarily the biggest; they are the ones that earn the system’s trust. So SEO needs an additional measurement layer: where it is cited, in what context, and what kind of behavior it leads to.
How SEO in Vietnam will be pushed toward content structure and trust
In Vietnam, many marketing teams still judge SEO by keyword rankings, article volume, and traffic. That approach is not entirely wrong, but it will weaken quickly if AI Search keeps users inside the answer interface instead of sending them to websites.
The strength of the Vietnamese market is its ability to react quickly. The weakness is that many businesses still see SEO as a cheap traffic channel, while platforms are demanding more structured content, clearer sourcing, and higher verifiability. For finance, education, healthcare, B2B, and e-commerce, this is the time to reinvest in how expert pages, product pages, FAQs, and support materials are written.
For Vietnamese marketers, the question is not “should we still do SEO?” but “what will prove SEO’s value?” Whoever can connect SEO to business reporting, sales questions, and first-party data will find it easier to protect budget.
SEO will keep its value if the marketing team locks in these three things
- Rework content structure so AI can read, cite, and verify it: short sentences, clear ideas, sourced data.
- Connect SEO to a real measurement system: query, landing page, lead quality, assisted conversion, and revenue.
- Clean up bad signals in the link ecosystem and thin content, instead of just publishing more articles.
- See AI Search as a change in search behavior, not a short-term disruption.
If SEO used to win by being in the right place on the results page, then SEO in the AI Search era wins by being trusted by the system, cited, and able to prove its value. It is a tougher game, but also a fairer one for brands that do content properly and measure seriously.
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References
- Search Engine Journal — YouTube Says Bigger Thumbnails Drove More Long-Form Views via @sejournal, @MattGSouthern
- Search Engine Journal — What Happens To PPC When You Stop Managing Google Ads Through Google Ads via @sejournal, @siliconvallaeys
- Search Engine Journal — Google DeepMind Says Gemini Is Evolving From Chatbot To AI Agent via @sejournal, @martinibuster
- MarTech — Marketers are media measurement’s biggest problem
- HubSpot Marketing — What high-citation brands do differently in AI search: The 2026 AEO playbook
- Search Engine Roundtable — Google: The Disavow Tool Does Have Effects
