Tech giants are in the arms race to dominate AI -powered e -commerce. In Google I/O, we saw a preview of the AI format in search – a search experience where agents recommend products, settle visual panels and make full purchases.
Apple is then the WWDC, where the company is expected to provide a updated about Apple Intelligence, but it is believed that other companies that are racing for the future description of e -commerce are being adopted more extra with AI, unlike the fast fire rollout.
These developer conferences, which were previously for internal and engineers, now have moments in the mainstream as they are creating the future of purchase in real time.
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Under the product demo and the shiny interface, there is a problem: today’s Internet was made controversial for humans, not for machines.
Adam Bares
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The founder of the new generation.
AI’s search is running outdated infrastructure
The web we use today is a patch of scheme layout and visual indicators to guide the machines through the purchase experience, not machines, but to guide machines. AI agents do not browse like people, and they need made metadata with real -time prices, inventory and clear product features.
When the statistics are crooked in contradictory, non -structured, or interactions, the AI agent struggles to extract or completely leave on the meaning. This means that it can be difficult for brands and buyers to find products with AI, whether they are the best choices.
Since the AI -powered search platform arbitrarily mediates in the discovery of the product, brands are losing the ability to influence, traffic, and how they appear in customer travel. The Internet is not being rebuilt for AI, it is being re -created. Many new interfaces appear to be developed at the level but are easily broken, layers on outdated infrastructure that struggles to understand machines.
The discovery is missing
We are already watching the initial signal. Traffic from July 2024 and February 2025 increased by 1,200 % of traffic from AI sources, which reflects the growing interest by consumers turning to AI tools for the discovery of products. The wave is reaching, but most brands are not yet positioned to take advantage of it because their website AI is not designed to continue the user’s journey. Interfaces and product data often do not create agent interaction or LLM workflows do not improve Optim.
Google’s AI review can be up to 64 % of organic traffic, in terms of industry. This is a dramatic change in how discovered. Brands LT, which means less control over low clicks, low engagement opportunities, and how they are offered on purchase journey.
Since consumers use AI agents for rapid purchase and product recommendations, they will discover a narrow range of brands and products. People who have been corrected will be found more easily because AI models prefer sources that provide clean, well -made, trading data such as real -time pricing, inventory, and agent checkout capabilities.
Without this data, AI agents can go out of the outdated or absent productive information level, which can force buyers back into the traditional, complex checkout process. The brands that become actively become AI-friendly will benefit significantly, which will clarify the way for their buyers.
Some platforms are starting to acknowledge the issue. The new category of shopkeepers provides access to product data to API agents, which facilitates the surface list in an agent -led environment such as a disturbing environment. API improves the mutation, but not interactive. One method of infrastructure allows agents to access existing product data such as detail and prices, but the conversation ends there.
Bilateral system brands enable the experience to actively affect the experience, offering free shipping by offering discounts, surfing related products or in terms of customer interactions. Without a bilateral system, the brands will lose control and context that they are accustomed to.
Do the brands stand to lose
AI Innovation grows very quickly for brands to rely on the updates of the Informant website. The new model capabilities and consumer expectations are revealed weekly, and without the flexible foundation made for permanent adaptation, brands are at risk of being permanently behind.
Brands rely on the search as the backbone of their mutilation strategy to reach buyers. By the launch of Google’s AI review a year ago, organic and compensation search website went up to 80 % of traffic. Now, with the AI format, the agents are changing that information is recovered and disclosed, not only threatening traffic but also the entire infrastructure to reach, understand and change the brands.
This is more than the problem of influence. Since AI agents mostly handle the customer travel, the brands are losing direct contacts they have spent years in construction, and the vigorous data that has come with it has also been eliminated: no more behavior indicators, preferential data, or ownership loyalty indicators. When the agent becomes an interface, the relationship is re -written.
Without traffic on their own websites, they miss the first party analytics, personal engagement, and long -term insights in consumer behavior. Without a clear data connection, they cannot improve experiences, measure ROI, or maintain compatibility. And without directly, the brand affiliation is also at risk of erosion. In the AI mediation Internet, the selection of consumers falls into the same production. Unless a brand is structured to appear in this output, it cannot exist.
A layer of a programming trade
It calls for intelligent infrastructure. Brands should already think about how they offer their product information so it is two key audience: people and machines. Structural, real -time data is not corrected. AI’s first ecosystem is the basic requirement of mutation, participation and growth.
In the AI Internet, new sub -domains like Ai.brandname.com work as intelligent store fronts that can serve both human users and AI agents in a united experience. Unlike traditional websites, made for updated pieces and human browsing, the AI store is made for front speed, natural language and agent friendly architecture.
Now is the time to rebuild
Brands know they are losing clicks, but the big picture is that they are losing their ability to participate in the next round of trade. AI’s agents are rewriting how to discover and conversion. The brands that do not look structural will not be confronted, they will be hidden. In the Internet, AI is an engineer. It begins with the reconstruction of a digital store front for humans and machines.
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