AGENCIES

Agentic commerce isn’t a one-off service.

And treating it like one doesn’t scale.

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What’s changing?

Clients now expect agencies to deliver results inside AI-driven discovery environments, not just traditional channels.

These systems evaluate products continuously, with requirements that vary by platform, model, and category and evolve faster than manual workflows can keep pace.

Agentic commerce turns product data into infrastructure, not a campaign deliverable.

 

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Where legacy catalogs fall short

Legacy assumption

Agentic commerce could be delivered as a discrete service. An audit, a fix, or a channel-specific optimization layered onto existing client work. Once implemented, performance was expected to hold until the next engagement or review cycle.

This model assumed stable platforms, predictable requirements, and timelines aligned to agency workflows.

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The reality

Agentic commerce is evaluated continuously by AI shopping agents operating across platforms that evolve independently of agency timelines.

Eligibility shifts as models, prompts, and data requirements change. Without a system-level view, agencies can’t see when or why products fall out of consideration. The failure shows up in client outcomes. The cause sits upstream in the data.

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ReFiBuy defines Agentic Commerce Optimization

Agentic Commerce Optimization (ACO) is the system required to evaluate, optimize, and monitor product visibility across AI-driven discovery environments.

ReFiBuy defines and delivers ACO for agencies managing multiple clients, catalogs, and categories.

By standardizing SKU-level interpretation and improvement, ACO turns agentic commerce from an ad hoc service into a repeatable, scalable capability.

ReFiBuy executes ACO through a closed-loop system that continuously evaluates product data, surfaces eligibility issues, and monitors performance across live agentic environments, with human oversight to support approvals, client guardrails, and quality standards.

ACO

What this enables for agencies

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Scalable

Scalable agentic commerce services

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Reusable

Reusable optimization workflows across clients

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Impact

Clear SKU-level proof of impact

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Efficiency

Reduced manual overhead and operational drag

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What determines product inclusion

AI shopping agents include products only when they can interpret the data clearly at the SKU level.

Structure, completeness, and context determine eligibility before ranking or comparison takes place.

Products that fail these thresholds aren’t deprioritized. They’re excluded.
ReFiBuy makes those rules visible and fixable.

FAQ

Common questions from agency partners

Which agency clients benefit most from Agentic Commerce Optimization (ACO)?

Clients with large or complex product catalogs benefit most from ACO, especially when manual optimization becomes difficult to maintain. This often includes brands or retailers with thousands of SKUs, frequent data changes, or growing expectations to perform in AI-driven product discovery.

How is ReFiBuy different from GEO or AI monitoring tools agencies already use?

Monitoring tools explain how brands appear in AI responses at a high level. ReFiBuy operates at the SKU level to identify why products qualify or fail to qualify, then executes the data changes required to improve outcomes. It is a closed-loop system focused on execution, not just observation.

How does ReFiBuy fit into an agency’s existing client workflow?

ReFiBuy integrates into existing agency workflows without requiring changes to how teams work with clients. Product data can be ingested from systems agencies already have access to, enriched within ReFiBuy, and then flowed back into client systems or distributed to AI shopping engines. Clients do not need to take on new technical work to get started.

What support does ReFiBuy provide to agencies managing multiple clients?

ReFiBuy supports multi-client workflows through centralized dashboards, automated data ingestion, and client-specific governance rules. Agencies also receive enablement support, including training, shared planning sessions, and materials to help position agentic commerce optimization with clients.

Get a free SKU-level assessment of how AI shopping agents interpret your catalog

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