Just a few years ago, building an online store meant an obsession with keywords, title tags and metadata. If you have nailed your SEO game, your product can simply jump on the first page of Google. But this game changes – fast.
Platforms such as Google and Opeli are introducing a new way of discovering products – one that is conversational, visual and increasingly powered by large language models. Instead of writing “the best leather bag below 200 pounds” and click the search results, buyers can ask AI assistant to recommend something that fits their climate, wardrobe or mood. It's not just about finding products – it's about feeling Your way to them.
This change has huge implications for e-commerce sites. Brands must now repeat the way their content structure. Pure data, rich product descriptions and telling about emotions occupy a central place.
The diagram is a new SEO
For those in e-commerce trenches, terms such as Schema.org, LLMS.txt and structural data may sound like technical jargon. But think about them as a new backstage to see the visibility of artificial intelligence. If your site is not feeding on clean, structured data in the algorithmic mind of Hive, you are invisible. Searching in the Google (SGE) search engine is already running shopping guides based on AI, and they pull out of high quality structural content-not only the most famous shouter keywords in the room.
Add to this an increase in visual trade. The picture generation is no longer just for funny Instagram filters – they are used by brands such as Zalando to provide personalized fashion recommendations. Customers do not want a category; They want experience. And AI offers it exactly.
AIO: A fashionable password that you can't ignore
If you still stick to “Expert SEO” in your LinkedIn profile, maybe it's time for a rebrand. The industry is whispering now (and sometimes screams) about “AIO” – optimization. This means adapting the content not to Google spiders, but for multimodal AI models that combine text, images and even a voice.
Details such as Wayfair and Shopify are experimenting with tools to discover products in a natural way. Ask for a “cozy reading chair that matches Mchsko-green curtains,” and you will be administered to the selected carousel powered by AI inference, and not traditional metadata.
The brand's voice meets the understanding of the machine
But here things become interesting: it's not just about data. This is about voice– And it's not a job. Ai needs history. Emotion. Intention. Brands that inject warmth, identity and narrative into their offers of products see better location in the experienced AI. This is a less “brown leather bag with a belt”, more “inspired vintage bag ideal for writing sessions of rain cafe.”
And if it sounds like a dream work copywriter, it is. Only now the copy must satisfy both people and algorithmic music.
This is no longer optional
Let's not fool ourselves – this is not a future trend. This is happening now. Startups that build e-commerce sites AI must adapt to these new content standards or the risk that they are completely filtered from AI discoveries. Good news? New tools appear. For example, the recent takeover of suppliers by Shopify shows his pursuit of intelligent logistics and product treatment strengthened by AI.
In parallel, giants such as Metaper experiment with customer service powered by LLM and shopping at WhatsApp, introducing AI detection directly to the chat.
Final thought
Not only do we go from searching to suggestions. We are moving since Browsing based on intentions Down Interaction based on emotions. This means that the brands that win will be those that not only support products – they serve meanings, resonance and a damn good story.
E-commerce does not die. Evolves. So if you still write “the best women for running 2025” fifty times on your product page … Maybe it's time to start whispering machines in their own love language.
