Google shopping AI mode just launched: let’s find out it

The official launch of the Google shopping AI mode at Google I/O 2025 has introduced a new layer of intelligence to the e-commerce experience. Powered by Gemini AI and enhanced by the Google Shopping Graph, the system connects over 50 billion product listings with user intent, conversation history, and real-time contextual data.

Unlike traditional Google Shopping or the earlier AI Overviews, this new mode represents a deeper integration between AI and commerce, with potential to reshape the future of how people shop online. At the same time, independent platforms like Lumigo shopping AI are emerging with leaner, dedicated approaches to smart product search.

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How Google shopping AI mode works

The Google AI mode for shopping combines conversational understanding with live product data. Built on Gemini, it allows users to search by asking multi-layered questions like:
“What’s a good waterproof hiking jacket under $200 with high ratings that ships quickly?”

The AI responds with:

• Intelligent product panels that dynamically adjust based on user input;
• Contextual suggestions pulled from personal preferences and search history;
• Direct integration with Google Shopping Graph, which tracks prices, availability, and merchant data in real time.

These features make the experience more intuitive and responsive than the classic filter-based UI.

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Conversational AI meets smart discovery

Thanks to its multimodal capabilities, Google shopping AI mode goes beyond traditional keyword search. The system supports:

• Natural language interaction with follow-up questions;
• Visual inspiration panels, especially for categories like fashion or decor;
• Comparative summaries, where the AI narrows down multiple options;
• Product highlights with bullet-style pros and cons.

What stands out is its ability to anticipate what the user might need next, an approach that mirrors how a good human assistant would guide a conversation.

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Virtual try-on and photo-based interaction

One of the new features in the latest release is the integration of virtual try-on, especially for fashion and beauty products. Now, users in the U.S. can upload a personal photo to:

• Preview how a garment might look on their body type;
• Try different styles or shades (e.g. lipstick colors, sunglasses fit);
• Get personalized outfit suggestions based on AI vision models.

While Lumigo doesn’t yet let you use Virtual try-on, there is already on test a Lumigo try-on experience.

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Lumigo shopping AI as a dedicated alternative

While Google shopping AI mode offers an impressive generalist model, Lumigo AI tool is built around a focused mission: clean, ethical, and efficient product discovery. The goal is to improve product research for every vertical, from toothbrushes to cars. Its advantages include:

• No SEO manipulation or sponsored placements;
• Prompt-based search experience, without persuasive upselling;
• Conversational product filtering that mimics real human assistance.
• Comparison of products thanks to the deep search Lumigo does from its sources.
• Sources filtering according to high standards of security and reliability, also thanks to the analysis of product and site feedbacks.

Unlike Google, Lumigo doesn’t aim to sell you something—it simply helps them find the right product in less time and with more trust in a unique platform that can help in each step necessary.

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Checkout automation and AI agents

Google’s ecosystem is beginning to support agentic commerce behavior with features like:

• “Buy for Me” actions where the AI can complete purchases;
• Price tracking and notification systems;
• Integrated checkout flows via Google Pay.

This suggests a move toward hands-free shopping, where AI handles everything from search to payment. While Lumigo doesn’t yet automate purchases, its roadmap includes smart agent tools that simplify the path to conversion.

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Market implications of Google AI mode

The rollout of Google shopping AI mode may disrupt several established practices:

• Comparison shopping engines could lose visibility as users stay within the AI interface;
• SEO strategies based on product ranking will need to adapt, as AI-generated responses often skip traditional listings;
• Retailer marketing tactics will shift from keyword targeting only to also structured, high-quality product feeds.

This evolution will reward sellers with clean data and penalize those relying on aggressive persuasion or fake scarcity.

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What this means for users and merchants

For shoppers, the new mode offers:

• Faster discovery, with fewer clicks;
• More trust, thanks to less noise and fewer ads;
• Personalized assistance based on real behavior, not just recent searches.

For merchants:

• The focus will move toward feed optimization and data accuracy;
• Brand visibility will depend less on ad spend and more on structured content;
• Integration with AI platforms becomes as important as being indexed by Google. Because next there will be necessity for LLM indexing.

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What’s next for Google and shopping AI

Google announced plans to expand the AI mode to more countries later in 2025 (spoiler: Lumigo is actualy usable for all over the world), while also refining product categories with higher complexity (like electronics, home appliances, and auto parts).

Future updates may include:

• Deeper wallet integration, enabling full checkout from AI chat;
• Voice-based commerce via Assistant or Android;
• Offline availability of certain features for in-store use.

Companies that want to stay ahead will need to rethink not only how they rank, but how they communicate product value through AI-first channels.

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Preparing for the AI-driven commerce era

As Google shopping AI mode sets new expectations, platforms like Lumigo shopping AI show there’s room for more agile alternatives. Brands should consider:

• Structuring product data for both Google and independent AI engines;
• Diversifying visibility beyond sponsored rankings;
• Embracing conversational UX in their own platforms.

Ultimately, the shift toward AI-driven shopping isn’t optional: it’s happening now. Those who adapt early will not only stay competitive, but redefine what it means to serve users in the age of intelligent retail.

👽 Try Lumigo now and put rockets on your product search.