AI summary
Google I/O 2025 introduces a fundamental shift in e-commerce search through AI Overviews and AI Mode, where Google synthesizes answers directly rather than directing users to product pages, requiring brands to optimize for conversational AI responses rather than traditional SEO rankings. The emergence of GEO (Generative Engine Optimization) demands enriched product data with structured attributes, narrative content, and AI-readable visuals to remain visible in these new search interfaces. Google is also shortening the purchase journey by enabling direct buying within search results through features like Virtual Try On and price tracking, while simultaneously generating contextual creative content, making comprehensive product information and data management critical for e-commerce visibility.
It’s not a small update.
During Google I/O 2025, the Mountain View firm has simply changed the rules of the game for e-commerce.
Faced with the rise of platforms like ChatGPT or Perplexity, Google is reinventing online search: more conversational, more contextual, more visual.
And above all: more direct.
Result?
The buying journey is no longer a marked path that goes from the SERP to the product sheet.
It becomes a dialogue with AI, where each response can be an opportunity… or a dead end for your brand.
So how do you make yourself visible in this new world?
That is what we decipher here.
1. AI Overviews: when Google responds instead of sites
AI Overviews are now active in over 200 countries.
This module, at the top of the results, Synthesize the ideal answer for the user thanks to Google Gemini’s artificial intelligence.
Concretely:
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You are asking a question.
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Google gives you the complete answer, sometimes even a selection of products or brands.
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And often, you no longer need to click anywhere.
For e-retailers, it’s a real challenge: your product should appear in the response, not just in the link list.
This requires a change in mindset: we no longer do SEO just to “rank” — we optimize to become an AI response source.
2. AI Mode: a new interface to explore, compare… and buy
Also new: Google has launched a tab AI Mode, an interface entirely dedicated to generative research.
Imagine an ongoing conversation with AI:
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You start with “I’m looking for a beige couch.”
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You refine: “rather Scandinavian”, “less than 700€”, “easy to clean”.
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And you end up… buying it directly in the interface.
That’s it, AI Mode: **a search engine that becomes a shopping assistant.
**No need to navigate between 10 tabs. Everything happens in a single fluid, multimodal experience… and without superfluous clicks.
For brands, this means one thing:
If your product data isn’t ready for this interface, you’re off the radar.
3. GEO: Generative Engine Optimization, the new SEO
Welcome to the era of GEO.
Or how to optimize no longer for a search engine, but for a conversational engine.
The fundamentals are changing:
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Structured AND narrative content
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Rich, detailed, well-prioritized attributes
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AI-readable visuals
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Intent-oriented descriptions
In other words: your product should Talk to the machine as well as to the user.
It’s a major change. And it’s starting right now.
4. Search-to-purchase: a new e-commerce channel
For years, the customer journey looked like this:
search → click → product sheet → basket → payment.
Today Google wants to shorten it:
search → answer → buy.
Thanks to:
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Of Tryable visuals with Virtual Try-On, extended to complete outfits and beauty looks
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the possibility of **Generate an entire wardrobe from a photo
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and even Track the price of a product to trigger an automated purchase
The challenge: your Product flow must be able to feed these experiences natively.
If not, you are simply left out of the process.
5. Augmented creativity: Google brings out the muscles
On the content side, Google is no longer content with indexing.
He creating.
With:
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Picture 4 : generation of high quality images (better text management, more accurate prompts)
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Veo : smooth video generation with audio, integrated with YouTube, Search or Gmail
For brands, it’s an opportunity to produce dynamic, contextual and on-the-fly advertising visuals.
But then again:
if your products are not well described and well illustrated, the AI will not know what to generate.
6. And now? Here are the 3 levers to activate
To avoid missing out on this transformation, here are the three pillars to master:
1. An enriched product flow for AI
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Optimized titles (size, color, use…)
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Natural and differentiating descriptions
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Data always up to date (stock, prices, visuals…)
💡 At Dataïads, it is the heart of Feed Enrich : an AI that automatically completes, structures and enhances your flows.
2. A fast and contextualized post-click experience
If the user leaves the AI interface and arrives at your home, they should not be disappointed:
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Page dedicated to his research
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Similar products well highlighted
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Super fast charging
💡 That’s exactly what our Smart Landing Pages : generated dynamically from the product flow, designed for conversion.
3. Large-scale advertising visuals
Difficult to keep up with the rhythm by hand. You need to be able to:
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create dynamic templates
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adapt them by format (Meta, Display, Search, etc.)
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automatically insert the right information
🛠️ Something new on this subject is coming very soon… stay connected!
*****
Google is no longer just doing research.
It makes purchase support.
And this mutation goes well beyond referencing:
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It is necessary **think of your data as a strategic asset.
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It is necessary **adapt your content to new AI formats.
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It is necessary **prepare your pages and visuals to live in these interfaces.
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At Dataïads, we have been building this vision from the beginning:
from the flow to the page, from the visual to the click, for performance powered by product intelligence.
👉 Do you want to prepare for this new reality? Talk to a Dataïads expert.