
Google's Circle to Search has received a major upgrade. And this time, it's much more than just an improvement.
Originally, Circle to Search used AI to analyze images by focusing on a single object at a time. Now, Google is enhancing it with Gemini 3's agentic planning, advanced reasoning, and multi-step processing, allowing the tool to break down complex visuals with far greater depth and context.
The result feels like enchanting Circle to Search with a mind that can see, think, and reason step by step. What was once a straightforward visual lookup feature is evolving into a strategic visual intelligence engine: one capable of understanding and exploring entire scenes at once.
With this update, users can circle multiple elements within an image, or even select a whole composition, and receive comprehensive results. Circle to Search can now identify each item, explain how they relate to one another, and surface deeper insights, whether that means contextual explanations, related images, or shopping options.
For example, while browsing a travel blog, users might encounter a vibrant coral reef photo. By circling several marine species and asking how they coexist, Circle to Search can identify the organisms, explain their roles within the ecosystem, and pull in supporting images or relevant web links.
Altogether, this shift makes Circle to Search feel less like a search shortcut and more like having an AI researcher at your fingertips, the one that can automatically isolate key details, running multiple searches in parallel, cross-referencing information, and assembling thoughtful, well-structured responses in seconds.
We’ve enhanced Circle to Search so you can now explore multiple objects in an image, all at once. Whether you’re curating a mood board, building an entire outfit or just satisfying your multi-layered curiosity, Circle to Search is getting a whole lot more helpful. pic.twitter.com/JMWOXAivcU
— Google (@Google) February 25, 2026
Acording to Google in the announcement:
"But we know that sometimes you aren't just looking for a single thing on your screen — you're looking for the whole thing."
Shopping enthusiasts stand to benefit the most from this evolution.
Imagine seeing a stylish outfit on Instagram: instead of searching each piece separately, users can circle the entire look, like clothing, shoes, accessories, and get matches for everything in one go. Google has integrated its virtual try-on feature directly into Circle to Search (where available and on supported devices), letting users visualize how those items might appear on them without leaving the app.
This turns casual browsing into effortless outfit building or home decor replication, whether they're curating a mood board, reimagining a room's mid-century modern vibe, or hunting for similar pieces.
The interface has also been refined for a smoother, more conversational experience, with the text input bar moved to the bottom to resemble a chat window, similar to other Gemini-powered features.
To activate it, simply tap and hold the home button (or use the navigation gesture) to bring up Circle to Search, then circle or scribble over the desired areas on screen and type or voice question in the "Ask anything" field.
No more "will this look good on me?" guesswork.
Circle to Search now lets you find the look—sweater, pants, purse, and all. Plus virtually try on each item for extra confidence https://t.co/vyIVCMkrKR pic.twitter.com/Ss9DFomDXF— Android (@Android) February 25, 2026
Upon using this feature, Google automatically identifies the "most important parts of an image to crop, runs several searches at once, and cross-references what it finds to compile a final response — including images from across the web — for each item you’ve searched.
This rollout began on February 25, 2026, debuting first on the latest flagship devices: Samsung's Galaxy S26 series and Google's Pixel 10 lineup.
With Circle to Search already available on over 580 million Android devices, the enhanced multi-object capabilities are expected to expand to more phones soon, building on Google's broader push into smarter, more contextual AI experiences across the platform. It's a clear step toward more proactive, goal-oriented tools that don't just answer queries but anticipate what users want to discover next.