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Home Google Marketing

Google’s AI Mode image search is getting more conversational

Josh by Josh
October 1, 2025
in Google Marketing
0
Google’s AI Mode image search is getting more conversational


Google’s latest AI Mode update makes it easier for users to search through images using vague descriptions and references. The update provides a more conversational way to shop for products online, according to Google’s announcement, allowing AI Mode users to “describe what you’re looking for — like the way you’d talk to a friend,” instead of using filters to refine Search results by color, size, or brand.

“Starting today, you can ask a question conversationally and get a range of visual results in AI Mode, with the ability to continuously refine your search in the way that’s most natural for you,” Google said in its announcement blog. “You’ll see rich visuals that match the vibe you’re looking for, and can follow up in whatever way is most natural for you, like asking for more options with dark tones and bold prints.”

For example, AI Mode users can look for “barrel jeans that aren’t too baggy” and then refine the results with additional requests like “I want more ankle length,” or “show me acid-washed denim.” AI Mode will “intelligently provide a relevant set of shoppable options,” according to Google, allowing users to easily visit retailers’ sites to purchase items in Search results.

Users can also start their search by uploading a reference image or snapping a photograph to fetch visually similar results, or use a mix of images and descriptions to refine their search. The conversational search update works for general visual exploration too, such as finding images for interior design inspiration.

The AI Mode visual search upgrade is rolling out in English to US users this week, so it might take a few days for the new capabilities to appear. Google says the update builds on Google Search with Lens and Image search and Gemini 2.5’s advanced multimodal and language capabilities, allowing AI Mode to recognize subtle details and secondary objects in images to better understand visual context and deliver more nuanced image search results.



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