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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.

Agentic Commerce illustration

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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