Agentic Commerce
The next phase of post-AI search has arrived. Agentic Commerce is the layer where AI agents choose the products, not people. Here’s how to get your products front and center.
Agentic Commerce shifts the role of AI tools from top-of-funnel influencing to mid/bottom-funnel decision ownership. Tools like ChatGPT and Gemini can now autonomously research, compare, justify, and enable purchases right within the AI-mediated experience.
This creates an invisible digital shelf, where algorithms, not humans, go shopping. The play here hinges on rigorous product data optimization and consistency across your products’ digital shelf.
Our service focuses on giving you a consistent structure across product feeds, Merchant Center, offer logic, structured data alignment, and catalog governance—all of which are closely aligned with SEO and can be considered a decision-focused layer on top of GEO/AEO.
This multi-prong approach ensures that all product information that you can control remains consistent and machine-readable, gaining you early visibility in an emerging conversion channel.
Our Approach to Agentic Commerce
Digital Shelf Optimization
Just like you’d tidy up your shelves in the store, DSO is about maintaining consistent, well-optimized product data across all digital touchpoints, including the website front end, code/schema markup, marketplaces, and product feeds. DSO gives AI engines one clear, reliable catalog.
Merchant Center Feed Optimization & ChatGPT Product Feed Review
We review the product feeds used for both Merchant Center and ChatGPT, focusing on consistency and qualitative analysis. Product data should provide clarity, structure, and completeness for LLM-driven product understanding.
Product Identity & Consistency
When product details like names, colors, or descriptions conflict, it undermines the discoverability and conversion potential of your product, and ultimately, the credibility of your brand.
PDPs and Schema Analysis for AI Decision-Making
We review PDPs from an LLM perspective, not just the customer’s. We help you define how product information should be managed, updated, and validated as things like offerings, pricing, availability, or variants change.
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Operationalizing Agentic Commerce
AI agents don’t “browse” products. They run a four-stage decision pipeline:
Eligibility → Understanding → Preferability → Actionability
Here’s how we operationalize Agentic Commerce end-to-end.
Eligibility: Making sure your products are fully visible to AI shopping agents across feeds, Merchant Center, and product graphs—so nothing you sell is silently excluded before it even gets considered.
Understanding: When AI engines know what your products are, with accurate, clean, and consistent data on attributes, variants, and use-cases—so they don’t misclassify or ignore them.
Preferability: Ensuring that your products score higher on trust, availability, and value compared to competitors’, and are therefore the safer choice for recommendation.
Actionability: Making sure your products can be purchased immediately through live inventory, valid offers, and working checkout paths, turning AI recommendations into revenue.
“Moments like this, when a new layer of the internet is being formed, don’t come often. Being part of shaping it from the very beginning is a rare privilege.
The brands that win in AI-driven commerce won’t be the ones with the biggest budgets; they’ll be the ones willing to experiment, learn, and move first.“
Mags Sikora
Director of SEO
