To help companies improve their product discovery in AI and Large Language Model (LLM) platforms, Adobe has added a new tool to Adobe Commerce. This tool helps companies make behind-the-scenes changes that improve AI discovery optimization, without altering their storefronts.
They also help keep messaging consistent across channels and can lead to several positive business outcomes for brands. The move also reflects a general shift in ecommerce, where people are using AI more often throughout their shopping journey, forcing companies to adjust to these changing dynamics.
Adobe Adds A New Tool to Boost AI Product Discovery
Because ecommerce discovery is changing, with many people turning to AI and LLM platforms to discover and research products, Adobe decided to introduce a new tool to Adobe Commerce to help companies improve AI product discovery.
This new update centers on Catalog Agent, which is a feature Adobe implemented to enrich the details of your product pages with structured information taken directly from your Commerce catalog. It takes this structured information and delivers it in a machine-readable layer that LLM-powered discovery systems and AI site crawlers can read and understand.
Because AI often needs more context about your products than human shoppers do, this layer is behind-the-scenes and thus doesn’t change anything about your customer-facing storefront and the shopping experience you offer.
This tool gives AI applications much better confidence when it comes to understanding and recommending your products, as you provide details like product names, specifications, attributes, pricing, availability, and other relevant data.
The result for brands is better product visibility in AI, as the AI has all the information it needs to connect a customer question or search query directly to a product you offer. In addition to helping boost your discoverability in AI, Adobe is also using AI to help businesses manage their customer experiences through things like Adobe CX Enterprise.
Keeping Messaging Consistent
The tool is also great for consistency, as it enriches your product names, descriptions, and other content right in your product catalog. Because it makes these changes at the source, every surface downstream also shares the proper and consistent message.
Without this type of solution, or if it made the enrichments further down the pipeline, there would likely be some inconsistencies in how your product information is presented across channels. This would harm how well AI understands (and thus recommends) your products.
Taking a source-first approach ensures that the tool can keep your brand and messaging consistent across channels, which is great for giving AI a clear and accurate understanding of what your product is, what it does, the benefits it provides, the problems it solves, and who it’s for.
The Tool Can Lead to Several Positive Business Outcomes
As more and more purchasing decisions begin within AI experiences, brands that provide the rich and structured product data that AI thrives on can experience a variety of positive business outcomes.
First, they’ll enjoy better product discoverability, as their items are easier for AI crawlers to find, make sense of, and recommend. If your data isn’t structured well for AI, you’re already missing out on a ton of potential traffic. For example, in Q1 2026, AI traffic to U.S. retailers climbed by 393%, showing just how many people are discovering and exploring through AI.
The tool may also boost the quality of the recommendations that AI gives you, as it can provide more relevant and accurate answers, as it has access to a full suite of details about your items.
Finally, it also helps you provide a better customer experience, reduces your dependency on SEO and keyword optimization to reach customers, and can remove the complexity that normally goes along with making your commerce data AI-ready manually.
Our Take
Preparing for the Future of Ecommerce
With some forecasts saying that agentic commerce may make up 15% to 25% of total US ecommerce sales by 2030, brands must be discoverable by AI if they want to participate in this growth.
Ecommerce success isn’t only due to your ranking in search engines anymore, but also how easy AI systems can understand and recommend your products. As a result, you need to do all you can to ensure your product pages, content, and images are optimized for AI.
In addition to using tools like Catalog Agent, you can also write clear and descriptive text, include verifiable numbers and specs that AI can verify and pass on to potential customers, and ensure your content answers specific questions and use cases that people may be searching for.
You should also have conversational FAQs about your products, display customer reviews, and consider building a presence on other places where AI often looks for information about products and brands, like Reddit and YouTube.
