The Operating System for Agentic Commerce Optimization
Evaluates catalogs, flags eligibility gaps, and continuously improves product data so every SKU stays competitive on the AI digital shelf.
Why this platform exists
Commerce systems were built for people browsing pages. AI agents evaluate product data to decide what qualifies to appear.
Most commerce stacks were not designed for this shift. Product data is fragmented across systems and rarely revisited once it breaks. Failures surface downstream, long after the cause.
The result is silent failure. Products stop appearing with little visibility into why.
Closed-loop intelligence is required to continuously surface and resolve these failures.
ReFiBuy is a system-level optimization layer for your commerce stack.
Commerce Intelligence Engine continuously evaluates how AI agents interpret your SKUs, identifies eligibility gaps, and improves product data as agent requirements evolve.
This is a closed-loop system, not a one-time audit. Our agents automate the work, with human oversight where accuracy, control, and brand consistency matter.
Evaluate
See how AI shopping engines interpret every SKU in your catalog. We analyze the signals that determine eligibility, then surface issues preventing your products from qualifying or being recommended by AI agents.
Every SKU gets evaluated across four dimensions: content quality, crawlability, semantic quality, and contextual signals. You get a prioritized scorecard showing exactly what to fix first.
Generate
AI shopping engines require far more context than traditional search to match products to conversational queries. Our agents generate product content specifically designed for how LLMs evaluate products in real time, not how humans skim pages.
Expand titles with brand context, enhance descriptions with benefits and use cases, and generate Q&A pairs. Apply content on-page or at the metadata layer without disrupting customer experiences.
Enrich
Structured attributes and clear variant relationships are critical for AI understanding. Missing or inconsistent data leads to wrong SKU mapping, dropped variants, and lost product cards.
Our agents fill attribute gaps, resolve variant fields, and clarify product relationships. This ensures products are accurately grouped, correctly compared, and recommended to shoppers.
Enrichment Queue
Review, approve, or edit generated product data before it goes live. All proposed updates (titles, descriptions, attributes, Q&A) appear in one place with full visibility.
Confidence signals enable safe automation. Human review ensures accuracy, compliance, and brand consistency. Bulk workflows let you scale enrichment across large catalogs without bottlenecks or risk.
Monitor
See how your products actually appear across AI shopping engines. Real outputs are captured and scored across visibility, data quality, and competitive positioning, so teams can see where products are winning or falling behind.
Every issue links to an actionable fix, closing the loop between evaluation, enrichment, and performance. You'll know what's working and where to optimize next.
The fastest way to understand ReFiBuy is to see it work on real product data.
Frequently asked questions
What is Agentic Commerce Optimization (ACO)?
Agentic Commerce Optimization (ACO) is the process of preparing your product catalog for AI-powered shopping experiences. As Agentic Shopping Engines like ChatGPT, Perplexity, Gemini, and others surface products directly to consumers, they rely on structured, rich, and complete product data, not traditional PDPs or marketing pages.
ACO ensures your product information is complete, consistent, enriched, and machine-understandable so AI agents can accurately evaluate, compare, and recommend your products. It’s the foundation for winning visibility and conversion in AI-driven shopping.
How does ReFiBuy integrate into our existing workflow or PIM?
ReFiBuy’s platform is built to be flexible and can integrate either pre-PIM or post-PIM, depending on where enrichment creates the most leverage in your workflow. We connect directly to systems like Salsify and Syndigo via API or data feeds, enriching product data without disrupting your existing stack.
How is ReFiBuy different from traditional SEO or feed tools?
SEO and feed-management tools optimize for traditional search and ad channels. ReFiBuy optimizes for AI shopping engines. These are platforms like ChatGPT, Gemini, or Claude that interpret and recommend products through conversation. We focus on semantic understanding, data structure, and contextual quality, so your products are accurately represented in the agentic commerce ecosystem.
How does your human-in-loop process work?
ReFiBuy combines AI automation with human oversight. Our “human-in-the-loop” workflow ensures every recommendation is reviewed by your team or agency before it goes live, keeping content accurate, on-brand, and contextually correct while still benefiting from AI speed and scale.
What is ReFiBuy’s pricing model?
ReFiBuy operates on an annual subscription priced by catalog size and monitored SKUs. Contact us for more pricing information.