Imagine someone in France wants to buy a product your company sells. Instead of searching on Google, browsing several online stores and comparing product pages, they ask an AI assistant to find the options that meet their needs.
They specify their budget, the features they want, their delivery deadline or their return conditions, and the AI compares the options to shortlist the best matches.
Your product could be one of them, if the system can find it and understand what you offer and under what conditions.
Agentic commerce is a model in which an AI agent searches for products, compares options and, with the user’s authorization, can buy on their behalf. It is a development in AI-powered ecommerce that gives these systems a greater role in the purchasing process.
Until now, many applications of artificial intelligence in ecommerce have focused on recommendations, customer service, content creation, data analysis and automation. AI agents introduce another possibility, allowing users to delegate parts of the search and comparison process, and even certain stages of a purchase.
For businesses selling across several countries, this development raises an important consideration. AI systems will need to understand which products are available in each market, at what price, under which delivery and return conditions, in which language and whether they genuinely meet the user’s requirements.
This brings renewed attention to something that has always been essential to any international ecommerce strategy. A company’s information needs to be clear, consistent and adapted to each market.
What is agentic commerce and why is it gaining traction?
Agentic commerce uses artificial intelligence agents that can carry out purchase-related tasks based on instructions from a user.
The main difference compared with many existing tools lies in their level of autonomy. Someone might ask an AI assistant to recommend a product and receive several suggestions. With an AI agent, the request can be much more specific. For example, they could ask it to find a product within a particular budget, available in their country, with certain features and a guaranteed delivery date. The system then searches through product information and uses those criteria to narrow down the options.
Major companies in the ecommerce and payments sectors are already developing the infrastructure needed to support this model. On 10 September 2026, Visa, Mastercard and Ant International announced a joint initiative to develop common standards for identifying and verifying AI agents authorized to make purchases on behalf of users. The aim is to establish a framework of trust that allows these agents to be recognized across different platforms and payment systems.
Shopify has also made progress in this area. The company has connected its merchants’ product catalogs to various AI environments and worked with Google to develop the Universal Commerce Protocol (UCP), an open standard designed to make it easier for agents and merchants to interact throughout the purchasing process.
Figures published by Shopify help illustrate how quickly this landscape is evolving. In the first quarter of 2026, traffic from AI tools to stores on its platform was eight times higher than in the same period the previous year, while orders originating from AI-powered searches increased nearly thirteenfold.
Agentic commerce is still developing, and significant questions remain, particularly around security, privacy, authorization and consumer protection. It is therefore not a model that will immediately replace traditional online shopping. However, it is emerging as a new channel for product discovery and purchasing, and one that is becoming increasingly relevant for brands.
What changes when an ecommerce business sells in multiple markets?
International ecommerce adds another layer of complexity because the same company may offer different products or conditions depending on the country.
The product itself may be identical, but other factors that directly influence purchasing decisions can vary. Prices and currencies may differ, delivery times and costs are not necessarily the same, and return policies may depend on the market.
| Element | What can change between markets |
| Prices | May differ from one country to another. |
| Currency | May differ by market. |
| Delivery times and costs | Are not necessarily the same. |
| Return policies | May depend on the market. |
| Search terminology | A French customer might use different terminology from a Spanish customer. |
| Priority features | May differ by country. |
| Expectations on delivery, customer service and commercial terms | May also vary. |
The way a company presents its products also changes. A French customer might use different terminology from a Spanish customer when searching for the same product. They may prioritize different features, and their expectations regarding delivery, customer service or commercial terms may also vary.
An AI system involved in this process needs access to the correct version of all this information. If someone is looking for a product that can be delivered to France before Friday, Spanish delivery conditions will not answer their needs. Similarly, if they are searching for options below a certain budget in euros, commercial information intended for another market will not be sufficient.
This is why the development of agentic commerce reinforces a familiar principle of international expansion. Having a presence in several countries is not enough. Your digital offering must accurately reflect the realities of each market.
AI agents can surface your product before the customer visits your website
The traditional online shopping journey usually begins with a search. Users browse the results, visit different websites, compare information and make a decision. This behavior is unlikely to disappear, but AI tools are introducing alternative ways to shop.
Someone can describe exactly what they need and receive a selection of products without ever visiting the websites of the companies selling them. In certain environments, they can even proceed toward making a purchase directly within the conversation.
Shopify already allows products from eligible merchants to appear in AI channels such as ChatGPT, Google AI Mode, Gemini and Microsoft Copilot. It uses its catalog to distribute product information and make it accessible to these systems. You can learn more about how this works in Shopify’s documentation on agentic storefronts.
This does not make websites any less important. Quite the opposite. It increases the value of the information they contain and the systems used to structure it. Product pages, shopping feeds, structured data and product catalogs now serve an additional purpose. As well as informing and persuading customers who visit an online store, they provide information that other systems can use to understand what a business offers.
The website therefore remains a fundamental part of a brand’s digital infrastructure, even when a customer’s first interaction with a product takes place elsewhere.
Product structured data: visibility is not enough if AI cannot understand your offer
For years, SEO has helped search engines discover, understand and rank a company’s web pages. The emergence of new AI environments extends this requirement, as a product can be available online without a system being able to interpret all its features correctly.
Consider a product page with high-quality photographs and an appealing description, but no clear information about which countries the item can be shipped to, how long delivery takes, which variants are available or what the return conditions are. Missing information creates uncertainty for customers and makes it harder for a system to compare the product with other options.
Google has long recommended using product structured data to provide detailed information such as prices, availability, shipping costs and return policies. This information can be used to enhance how products appear across different search experiences.
Agentic commerce makes this work even more valuable. The clearer, more accurate and better structured the information, the easier it becomes to understand what a company sells and under which circumstances its products can meet a particular need.
Translating product pages is not enough for international ecommerce
Language plays an important role in this emerging landscape, although it is not the only factor to consider.
A product page can be accurately translated into French and still fail to meet the needs of the French market. Translation transfers content from one language to another. Ecommerce localization goes further, adapting the experience to the context in which it will be used. This includes terminology, selling points, units of measurement, currencies, product categories, purchasing conditions and any other information that may vary between markets.
A customer might ask their AI assistant to find a product available in Belgium, one that comes with German-language customer support or one that can be returned from Italy. In each of these situations, language is part of the equation, but commercial localization is just as important. An international strategy designed for these new environments therefore needs more than different language versions of the same website. Each version must accurately represent the products and conditions available in its target market.
The principle is similar to international SEO. Simply translating a Spanish keyword and using it in another country is not enough. Businesses need to understand how people search, the intent behind those searches and which content best meets their needs. AI agents introduce the same requirement from a different perspective.
Consistent product data across markets and channels
An international ecommerce business may manage hundreds or thousands of products across different languages and channels. As this complexity grows, so does the risk of inconsistencies.
A product page might display one price while a shopping feed contains another. Availability may have been updated in the online store but not on a marketplace. Delivery conditions on an international version of the website may have become outdated following changes to logistics arrangements. Such discrepancies already affect the customer experience and could become even more significant when other systems rely on that information to compare products.
Preparing for agentic commerce therefore also involves reviewing data quality. Businesses need to identify what information they distribute through each channel, ensure it remains up to date and prevent inconsistencies between markets. This work may be less visible than a new campaign or the launch of a new feature, but it is an essential part of a strong international digital strategy.
SEO, GEO and agentic commerce share many of the same foundations
Image: Man working on a laptop displaying a world map, with logistics and transport software | Premium Photo
Alt text: Man reviewing a world map and logistics software on a laptop. File name: agentic-commerce-logistics-international.webp
Changes in search behavior have introduced new concepts into digital marketing. One of these is GEO (Generative Engine Optimization), which focuses on improving a brand’s visibility and presence in AI-generated responses and environments.
Agentic commerce adds another commercial dimension. The aim is not simply for an AI system to recognize a company or use its content as a source. In a purchasing context, it also needs to understand when a product meets the criteria defined by the user.
SEO, GEO and agentic commerce have different objectives, but they share many underlying principles. A clear website structure makes information easier to interpret, high-quality content explains products and services more effectively, structured data provides context, and specialist content helps establish authority on specific topics. An international strategy adds another requirement: the information must be relevant to the market from which the search originates.
A strong international SEO strategy, effective content localization and a consistent data structure can deliver value both in traditional search engines and in emerging AI-powered product discovery environments.
Your value proposition also needs to be clear
Technical product data makes comparisons easier, but purchasing decisions are not always based on specifications alone. Two companies may offer similar products at comparable prices and with equivalent delivery times. The deciding factor could be their specialist expertise, service, warranty, experience or another aspect of their value proposition.
How clearly a brand communicates these differences still matters. A website filled with generic messages forces visitors to work harder to understand what sets the company apart. It also provides less useful context for any system accessing its content.
The development of new AI-powered channels therefore reinforces the need for brands to define a clear brand territory: what they offer, who their products or services are intended for and what makes them different.
In international markets, this value proposition does not necessarily need to be presented in exactly the same way everywhere. The essence of the brand can remain consistent, while the selling points that matter most may vary depending on each country’s commercial and cultural context, and adapting them is a job for marketing translation and transcreation.
What should international ecommerce businesses review?
Preparing for this new landscape does not mean rebuilding an online store around AI agents. Much of the work overlaps with improvements that international ecommerce businesses should already be making.
- Product information, including clear titles, descriptions, attributes, variants, prices and availability.
- Structured data and shopping feeds used by search engines, ecommerce platforms and other channels.
- Market-specific conditions, such as currencies, delivery options, returns and product availability.
- Localization of international website versions, beyond straightforward translation.
- Content that helps customers make purchasing decisions, including category pages, product descriptions, FAQs, comparisons and specialist resources.
- The company’s value proposition and the factors that differentiate it from competitors.
- Information consistency across the website, marketplaces and other digital channels.
- SEO and GEO strategies as part of an integrated approach to international visibility.
These areas offer value regardless of how agentic commerce evolves. Clearer information makes purchasing easier for customers, strengthens a company’s digital presence and helps search engines and AI systems interpret its products and services more effectively.
A strong strategy is more valuable than adapting to every new tool
The arrival of new platforms, models and protocols can create the impression that brands need to adjust their strategies whenever technology changes. For most businesses, however, investing in a solid digital foundation that can adapt to different environments is a more effective approach.
An accessible website, clear information architecture, reliable data, well-presented products, useful content and a consistent SEO strategy remain essential. For companies operating internationally, these foundations also require effective linguistic, commercial and cultural adaptation.
These elements already improve search visibility and the user experience. They also make it easier for AI systems to interpret a company’s offering accurately, regardless of which platform consumers use.
Preparing for agentic commerce is therefore more about the quality of a company’s digital presence than the immediate adoption of a particular tool.
AI in ecommerce reinforces the importance of a strong international strategy
International ecommerce has always required businesses to understand how people search and shop in different markets. It also involves identifying what information customers need, which selling points matter most and which aspects of the experience could become barriers to purchase.
The introduction of AI agents does not change these fundamentals, but it adds a new intermediary to the purchasing process. If these systems become more influential in product discovery and comparison, businesses will need to provide sufficiently clear information for their offering to be interpreted correctly. In international ecommerce, that information must also reflect the specific characteristics of each country.
At Nóvalo, we approach the international presence of businesses and brands from this perspective. International digital marketing strategy, SEO and GEO, content creation, translation and localization all contribute to the same objective: making sure people in every market can find and understand what a company has to offer. Agentic commerce still has a long way to go, and its development will depend on technological, commercial and regulatory factors. As this ecosystem evolves, reviewing information quality, content localization and consistency across markets can improve the current ecommerce experience while better preparing a company’s digital presence for new ways of searching and shopping.
He helps companies and brands connect with international audiences through digital marketing strategies, SEO copywriting and market-specific translation. With experience in complex project management and multilingual content creation, he currently manages marketing accounts at Nóvalo Language Creatives, collaborating with an exceptional team. He is passionate about turning ideas into content that ranks, persuades and converts. From SEO campaigns to strategic translation, he brings creativity to every project.