Nội dung
- Google Images turns 25 with a role far beyond its early days
- The new Google Images homepage: from lookup tool to discovery space
- Creating images directly in Search: a new step for AI Overviews
- From Similar Images to Circle to Search: Google is following a consistent development path
- What this means for the Vietnamese market
- References
Google Images turning 25 is a notable milestone not only for the search industry, but also for marketers who are increasingly relying on visual content to capture attention and drive conversions. Two new updates from Google — a new image browsing experience and the ability to create images directly in Search — show that visual search is shifting from “lookup” to “discovery” and “creation”.
For Vietnamese marketers, this is an important signal: images are no longer just illustrations for articles or ads, but are becoming a new interface layer between brands and users in the journey to find information, ideas, and products.
- Key points:
- Google Images celebrates 25 years by looking back at major milestones in visual search innovation.
- Google launches a new Google Images homepage focused on a more vivid and personalized browsing experience.
- Google brings image generation directly into AI Overviews in Search, powered by the new Nano Banana model.
- This development shows that multimodal search and AI-assisted visual content will continue to play a bigger role for marketers.
Google Images turns 25 with a role far beyond its early days
According to the Google AI Blog, Google Images was launched in July 2001, at a time when search was still primarily text-based. The feature was created in response to a very practical user need: when an image or cultural phenomenon draws major attention, people do not just want to read a description — they want to see it for themselves.
Over the past 25 years, Google has shown that the search journey has not stopped at “type a keyword and get results,” but has gradually expanded into discovering through images, using the camera to interact with content, and even combining multiple signals at once. This is the foundation for understanding why Google continues to invest heavily in visual search rather than treating it as a side branch.
The new Google Images homepage: from lookup tool to discovery space
The first notable point in this announcement is the new Google Images interface. Instead of being just a place to quickly find a picture, Google is building a browsable “home” with a dynamic image library, real-time updates, and personalization based on each user’s interests.
From a user experience perspective, this is an important change because it puts users into a “browse to spark ideas” mindset more than a “type to find a specific result” one. Saved collections are also integrated directly into the interface, making it easier for users to return to topics they care about. For marketers, this suggests that image optimization is no longer only about direct search, but also about being discovered in contexts of inspiration, mood boards, and idea research.
Creating images directly in Search: a new step for AI Overviews
Google also announced a new direction: allowing images to be created directly within AI Overviews in Search. According to the article, this feature uses the latest Nano Banana model to turn a text prompt into a custom image generated from scratch.
The significance of this change lies in the fact that Google is narrowing the gap between “idea” and “image.” Previously, users often had to describe what they needed and then move to another tool to generate an image or find suitable assets. Now, in some situations, that process can happen directly in Search. For content, SEO, social, and performance teams, this could change user expectations around response speed, image specificity, and the visual clarity of search results.
From Similar Images to Circle to Search: Google is following a consistent development path
The historical overview in the article shows that Google is not randomly launching new features, but following a long-term development path. In 2009, Similar Images helped users find related images without relying entirely on keywords. In 2011, Search by Image allowed users to use an image itself as the query.
By 2018, Google Lens turned the camera into an everyday search tool. In 2022, Multisearch combined text and images to create richer, more contextual queries. And in 2024, Circle to Search let users circle anything on their phone screen to instantly learn more about it. Taken as a whole, this is a roadmap from “searching with words” to “searching with anything that can be observed.”
What this means for the Vietnamese market
For brands and marketing teams in Vietnam, the most important message is not to chase every new feature, but to prepare for a search environment where images are becoming increasingly semantic and interactive. That means product images, lifestyle photos, PR visuals, content thumbnails, digital catalogs, and social assets all need more intentional investment.
In practice, Vietnamese users often look for shopping inspiration, interior ideas, fashion, travel, or design through images very early in the decision-making journey. As Google continues to upgrade visual search and AI image generation directly in Search, brands with strong, consistent image libraries, clear descriptions, and visuals closely aligned with real user needs will have a greater advantage in being seen and remembered.
This is also the moment for content, SEO, and creative teams to work more closely together: not only optimizing articles for text queries, but also optimizing how images appear, how they tell a story, and how visuals support the multimodal search experience.
Source: Google AI Blog — “Celebrating 25 years of visual search innovation” (14/07/2026).
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This article focuses on Google Images 25 years with a perspective for the Vietnamese market.
