E-commerce is moving to “zero click” as consumers delegate their searches to AI. To remain visible, brands must abandon classic advertising and optimize their product feeds.
For years, traditional e-commerce followed simple mechanics, based on web navigation and advertising clicks. This model is experiencing a significant technological breakthrough. With the rise of language models and AI agents, nearly 78% of consumers now entrust their product discovery and pre-purchase comparison phase to tools like ChatGPT or Gemini. They no longer search, they delegate.
This shift towards a “zero click” ecosystem redistributes all the cards. Places are expensive: few products appear as easily in LLMs as on a Shopping SERP. As this battle for algorithmic visibility intensifies, another trend is emerging: instant buying.
Faced with these phenomena, a double challenge faces brands: to be visible and to be chosen by the LLM, and to be sufficiently relevant to trigger an act of purchase immediately.
GEO, UGC, Reddit… and the importance of product feeds
The rules of the game have changed, and the market is adapting. Many optimization levers for GEO have already been identified and are pre-empted by the market: user-generated content (UGC), editorial content, or even a reinforced presence on Reddit. These approaches are proven to improve discoverability in generative engines. However, a strategic asset remains underestimated: product flow. Only the product feeds are at the convergence of the issues mentioned, but also of the emerging AI Ads, since ChatGPT recently revealed that it uses the feeds directly in GPT Ads. The flow is not a simple export file, it has become a visibility lever in its own right in the agentic economy.
From structured files to semantic intelligence of product catalogs
From now on, visibility is in the hands of super comparators which feed on structured and precise data, the prompts are longer and longer, more and more detailed and the discovery of the product becomes conversational: made of back and forth and exchanges with the LLM.
In this context, we already knew the importance of titles for SEA, but encouraged by these longer and more contextual prompts, LLMs are now likely to draw on each available attribute. The arsenal available to build exhaustive identity sheets is wide: description, product highlights, product details, size, material, and many others. This completeness is essential to respond to a user who wants to know if the sofa will fit in their living room, or to appear at the top of the comparative tables generated by AI.
The structuring of descriptive data is a crucial issue, of course, but conversational attributes complete this base by making it possible to associate products and user intentions, while defending the strengths of the product and the USP. This is why the product flow must now be approached as the alliance of these two dimensions: descriptive and conversational.
The conversational attribute to regain control to assert yourself
Until now, brands have suffered from the synthesis that LLMs make of their products. Conversational attributes are a game-changer, in that they make it possible to directly feed the models with the right arguments, in the right formulation, rather than letting the algorithm freely interpret the product sheets.
Concretely, this involves anticipating the most frequent questions from users and integrating elements of response directly into the flow, in the form of verbatims. Deployed via protocols like OpenAI’s Agentic Commerce Protocol, these attributes offer brands the ability to take back control and dictate their own arguments to LLMs, while displaying elements of reassurance necessary for conversion.
But building these attributes is not a purely technical exercise. Where the descriptive flow is factual, the conversational flow assumes a real editorial line and answers to certain questions: what objections should we anticipate? Which personas should you position yourself on? What misalignments between LLM responses and branding are we willing to accept? It is these arbitrations, both strategic and editorial, which determine the real effectiveness of the system.
And tomorrow? the market is changing, codes are changing, protocols are multiplying. And one thing is clear, the landscape is clearing up enough to legitimately consider taking action. Certainly the European and French market still shows a technical or regulatory gap with the United States, but this delay should not limit the move to action. Preparation must be carried out now, especially in fields of action which also benefit the SEA.
However, one condition is necessary. This transition will not work on intuition: it requires strict methodologies to measure the impact of each data optimization. Preparing today on these topics with high technological value means designing the e-commerce infrastructure of tomorrow and ensuring a decisive head start on the market.
