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Google's AI Mode Gets Conversational Shopping Power

AI Google Image Search Shopping Natural Language Processing Gemini Tech
September 30, 2025
Viqus Verdict Logo Viqus Verdict Logo 8
Visual Discovery Revolution
Media Hype 7/10
Real Impact 8/10

Article Summary

Google’s AI Mode image search is receiving a significant upgrade, introducing a conversational shopping experience for US users. This update allows users to describe their desired products in a natural, conversational manner, moving beyond traditional filter-based searches. Users can now ask for "barrel jeans that aren’t too baggy" or reference images to refine their searches, receiving relevant product suggestions. The update leverages Google’s Gemini 2.5 multimodal capabilities to understand visual context and subtle details, adapting to user requests in real-time. This feature is integrated with existing Google Search with Lens and Image Search. The update allows users to shop directly from search results, suggesting retailers' websites. This capability combines image recognition with natural language processing, creating a more intuitive and efficient way to discover products visually. The rollout begins this week in English for US users.

Key Points

  • Google’s AI Mode is gaining conversational shopping capabilities.
  • Users can now describe desired products in natural language and reference images.
  • The update utilizes Gemini 2.5’s multimodal capabilities for richer, more nuanced image search results.

Why It Matters

This news is significant because it represents a shift towards a more intuitive and user-friendly approach to visual search. Traditionally, image search relied heavily on filters, often requiring users to manually adjust multiple parameters. This new conversational interface simplifies the process, mirroring how people naturally communicate their needs. For professionals in marketing, e-commerce, and digital advertising, it highlights the growing importance of AI in enhancing the user experience and driving engagement – particularly through visual discovery.

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