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AI is changing how users search for information, and that is creating a new game for content marketing. If marketers once focused mainly on ranking on Google, content now also needs to be “understood” and “cited” well by AI search systems.
In a new article, HubSpot emphasizes that ranking on traditional search engines and ranking in AI search results are two different challenges. This is especially noteworthy for Vietnamese brands investing in SEO, expert content, and conversion-supporting article systems.
AI search is setting a new standard for content evaluation
HubSpot argues that content creators can no longer think only in terms of “ranking for keywords” as before. In an AI search environment, content needs to answer clearly, directly, and with enough credibility to be selected by the system as a reference source.
The key point is that AI often synthesizes and interprets information from multiple sources. Therefore, a useful article not only needs to be on topic, but also must show a tight structure, clear information, and enough depth of expertise to fit the way AI processes context.
HubSpot highlights these practices to increase visibility
HubSpot suggests several core principles for marketers who want to improve their visibility in AI search results:
- Write content that directly addresses search intent, rather than focusing only on keyword variations.
- Present information in a structure that is easy to scan, summarize, and extract key points from.
- Build credibility through expertise, clear sourcing, and consistent wording.
- Optimize so the content can be understood on its own, without relying too heavily on external context.
Notably, the article does not treat AI search as a “technical trick,” but as a step forward that requires higher-quality content, greater clarity, and stronger value for readers.
Content marketing needs to shift from keyword optimization to optimizing for understanding
For many content teams, the biggest change lies in mindset. If traditional SEO focused heavily on rankings and traffic, AI search means content must be designed to answer questions in a concise yet trustworthy way.
This can affect how blog posts, landing pages, FAQs, or thought leadership pieces are built. Instead of stuffing in lots of keyword phrases, marketers should prioritize core ideas, clear language, coherent subheadings, and direct answers to users’ questions.
A perspective for the Vietnamese market
For Vietnamese marketers, the most important lesson is not to measure content performance only by traffic from Google. As search behavior changes, content needs to be optimized to appear in both traditional search results and AI-generated environments.
In practice, brands should start with content groups that have high expertise value, such as industry knowledge, guides, solution comparisons, concept explanations, and FAQs. These formats often have a better chance of demonstrating clarity, usefulness, and trustworthiness.
In other words, “writing for AI” does not mean writing for machines, but writing in a way that helps people understand faster and helps systems better recognize the value of the content. This may become an important competitive capability for content marketing in the next phase.
Source: HubSpot Marketing.
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This article focuses on ranking in AI search with a perspective for the Vietnamese market.
