Webinar Replay

Agentic Commerce: Is Your Product Feed Ready for a World Where AI Makes the Choices?

In this webinar, FeedMax will show you how to turn your product feed into a powerful performance driver in the age of AI.

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    About

    The rise of agent-driven commerce is radically transforming e-commerce: in the future, it won’t be users comparing products anymore… but AI agents selecting, recommending, and purchasing on their behalf.

    In this new paradigm, your visibility no longer depends solely on your campaigns or SEO, but on the quality, richness, and usability of your product feed in Merchant Center.

    • Are your products understandable to AI?
    • Are they sufficiently enriched to be selected?
    • Are you ready for new standards like the Universal Commerce Protocol?

    Agentic commerce refers to a new form of e-commerce in which artificial intelligence agents search for, compare, and purchase products on behalf of users. These agents analyze product data to select the best options based on preferences, budget, and purchasing context.

    With the rise of artificial intelligence, shopping journeys are changing: consumers are increasingly delegating their decisions to smart assistants. This means that product visibility now depends on how well algorithms can interpret them, rather than solely on traditional SEO or advertising campaigns.

    A product feed is a file containing all the information about your products (title, description, price, images, attributes, etc.). It is used by platforms such as Google Merchant Center to display your products on acquisition channels.
    In the context of e-commerce, this feed becomes a key element: it is what AI systems analyze to decide which products to recommend.

    To be understood and selected by AI agents, a product feed must be:

    • Data-rich (detailed attributes, comprehensive descriptions),
    • Structured (compliance with formats and taxonomies),
    • Semantically enriched (keywords, usage context, product benefits),
    • Updated regularly.

    Using automated enrichment tools can significantly improve the quality of the feed.

    Google Merchant Center is a platform that allows e-commerce merchants to manage and promote their product catalog on Google (Shopping, Performance Max, etc.).
    Within the context of e-commerce, it has become a key driver of decision-making: the quality of product data directly influences their visibility and performance.

    An optimized product feed enables:

    • Better understanding by algorithms,
    • Wider and more relevant reach,
    • An improved click-through rate (CTR),
    • An increase in the conversion rate
    • Result: a better return on ad spend (ROAS) for your Shopping and Performance Max campaigns.

    AI is driving greater automation in advertising campaigns. On Google Shopping and Performance Max, performance depends more and more on the quality of product data. A poorly structured or incomplete product feed limits performance, even with a good media budget.

    The Universal Commerce Protocol is an emerging standard designed to structure product data so that it can be used by artificial intelligence.
    It facilitates interoperability between platforms and enables AI agents to better understand, compare, and recommend products.

    This webinar is intended for:

    • E-commerce merchants,
    • Digital marketing managers,
    • Traffic managers,
    • Google Shopping and Performance Max specialists.

    It is particularly useful for anyone looking to improve their campaign performance by optimizing their product feed.

    Companies that optimize their product flow generally see:

    • An increase in ROAS,
    • A decrease in CPC,
    • An increase in the conversion rate.

    These gains are linked to a better match between the products shown and the expectations of users… or AI agents.