Artificial intelligence
The world of digital commerce is constantly changing, and a new wave is about to redefine the way products are discovered and purchased: Agentic Commerce. Gone are the days when every purchase was the fruit of painstaking human research, comparing prices and reading reviews. Welcome to the era when artificial intelligences, acting as truly autonomous agents, will make the purchasing decisions. The question is no longer whether your site is visible to a human customer, but whether your product catalog is clear and structured enough to be understood and processed by a buying AI. Your survival in this new paradigm will depend on your ability to adapt your offer. Are you ready for this revolution?
Agentic Commerce represents a major shift. It refers to an ecosystem where intelligent software agents, powered by artificial intelligence, are mandated to autonomously research, compare, negotiate and finalize purchases on behalf of a user or company. These AIs are not simply decision-making tools; they are the decision-makers and the executors.
This transformation marks a shift from traditional shopping, where the human interacts directly with an e-commerce interface, to a procuration by AI. For companies, this means that competition will no longer be based solely on the visual appeal or user experience of a website, but fundamentally on the quality, structure and readability of their product data.
Buying AIs operate on the basis of predefined objectives (e.g., “buy a laptop with such and such specifications, under such and such a budget”) and a set of decision-making criteria. They scan the web, analyze massive amounts of data, and evaluate available offers. Their process includes searching for products, comparing technical specifications, analyzing reviews (in a format they can digest), checking compatibility, and even negotiating prices where possible.
To make informed decisions, these AIs need precise, unambiguous and highly structured information. They aren’t swayed by page design or marketing flourishes if these aren’t accompanied by solid data. They look for facts, figures, specifications and clear attributes.
The question is no longer whether Agentic Commerce will grow, but how fast. Forecasts indicate a growing share of transactions carried out by AI in the coming years, for both consumers and businesses (B2B). If you don’t prepare your catalog, you risk being excluded from a rapidly expanding market segment, and losing a major competitive advantage.
Companies that optimize their product data for buying AI will benefit from improved discoverability, increased conversion without direct human intervention, and a potential reduction in the marketing costs associated with attracting human traffic. It’s an opportunity to secure your business for the foreseeable future.
Unlike a human who can interpret a context, appreciate an image or be seduced by a marketing phrase, an AI requires precision. It can’t “read between the lines”. It needs objective, coherent and easily comparable information. Visuals play a secondary role (for visual recognition, yes, but less so for the raw purchase decision), while semantics and data structure become paramount. Clarity is king.
So, how do you know if your catalog is ready for Agentic Commerce? The key lies in the quality, richness and structuring of your product data. An AI-readable catalog is one that provides information that is unambiguous, standardized and easy for an algorithm to process.
Adapting your catalog is a strategic process that requires a methodical approach. Here are the key steps to prepare your company for the age of buying AI.
Start with a thorough audit of your entire product catalog. Identify gaps, inconsistencies, duplicates, obsolete or missing information. Implement a rigorous clean-up and update process. This is the foundation on which everything else will be built.
Integrate structured data (JSON-LD or microdata) directly into the code of your product pages. Use standardized vocabularies (Schema.org for products, offers, reviews). Consider using a PIM (Product Information Management) system to centralize, enrich and distribute your product data in a structured and consistent way across all your channels.
Rethink the way you write your product sheets. Move from purely marketing language to factual, detailed and precise content. Highlight technical features, specifications, compatibilities and concrete benefits. Use bulleted lists for clarity, and keywords relevant to AI (those it would use in its queries).
Use tools like Google’s Rich Results Test to validate the correct implementation of your structured data. Even more, try to put yourself in the shoes of an AI: simulate complex queries on your products and check whether the relevant information is easily accessible and interpretable. Clarity for AI is an invisible but powerful ranking factor.
Investing in a catalog optimized for Agentic Commerce is not just an expense, but a strategic investment. It guarantees better visibility of your products, not only for AIs, but also for traditional search engines, which increasingly favor structured data.
You’ll see an increase in the relevance of your offers to specific queries, a reduction in friction in the automated purchasing process, and ultimately, growth in your sales. It’s your assurance of staying competitive and thriving in tomorrow’s commercial landscape.
Agentic Commerce is just around the corner, and your catalog’s ability to interact with buying AI will become a key success factor. Don’t let this revolution take you by surprise. It’s time to audit, structure and enrich your product data to build the foundations of an intelligent, automated commercial future. Your catalog is your most effective new sales force; make sure it speaks the language of its future artificial buyers.