AI Catalog Optimization

Make every product findable by AI shopping agents

ReFiBuy restructures and rewrites your product catalog so AI shopping assistants can parse, match, and recommend your listings, turning inventory that machines skipped into new demand.

The Problem

Your products are invisible to AI shopping agents

AI shopping tools like ChatGPT, Perplexity, and Google AI Mode do not browse your website. They evaluate structured signals your catalog was never designed to send.

73%
of product listings in a typical mid-market retailer catalog lack at least three of the five attributes AI shopping agents evaluate first, based on our pilot catalog audits.
Sparse attribute data

AI agents need specific, structured attributes to evaluate fit. Most product records have fewer than a third of the fields those agents actually query.

Keyword-optimized copy

Copy written to rank for search terms is the wrong format for agent parsing. Agents need declarative, evaluative language, not keyword density.

Schema gaps

Standard Google rich-result schema is not enough. AI agents reference additional semantic fields that most merchandising teams have never heard of.

How It Works

Three steps from audit to AI-visible

We analyze your catalog, identify every gap, and rewrite each listing to pass agent evaluation criteria.

Catalog audit

We ingest your full product feed and score every listing against a 12-point evaluation framework derived from how leading AI shopping agents rank products.

Rewrite and enrich

Our AI rewrites descriptions, normalizes attributes, fills structural gaps, and adds agent-readable metadata, all matched to your brand voice.

Deliver and sync

Optimized listings return via your existing feed format or direct API. New inventory auto-scores against the same framework going forward.

Early Results

What retailers saw in the first 60 days

From our early-access pilot cohort. Individual results vary by catalog maturity and product category.

3x
More AI agent product recommendations for optimized listings within 60 days
Based on tracking across 3 early-access pilot retailers
68%
Of previously invisible listings became AI-agent-parseable within one optimization pass
Measured by structured attribute coverage score

We had solid Google Shopping presence but zero visibility in any AI shopping result. After ReFiBuy ran our outdoor gear catalog through their system, those same products started appearing in Perplexity and ChatGPT recommendations within six weeks. The products were always there. They just were not being seen by agents.

Catalog Operations Lead, mid-size outdoor gear retailer, early-access pilot participant
Pricing

Start with an audit, scale when ready

Flat monthly pricing per tier. No setup fees. Cancel anytime.

Essentials
$149/mo
Up to 1,000 SKUs. Monthly catalog audit and AI scoring for every listing.
  • Up to 1,000 SKUs
  • Monthly catalog audit report
  • Top 50 priority rewrites/month
  • Catalog health score
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Scale
Custom
Unlimited SKUs. Dedicated account manager, custom integrations, and delivery SLA.
  • Unlimited SKUs
  • Dedicated account manager
  • Custom platform integrations
  • SLA delivery guarantees
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The Team

Built by people who have run large retail catalogs

SW
Scot Wingo
CEO & Co-Founder
"I have spent two decades in ecommerce, watching cataloging get incrementally better at serving keyword-based search while the next wave of buyers, AI agents, arrived speaking a completely different language. ReFiBuy exists to close that gap."

Scot has worked at the intersection of retail and online marketplace dynamics across multiple cycles of ecommerce platform change. He focuses on the structural alignment between product data and the evaluation logic that AI shopping agents use to make recommendations.

Get Started

Request a free catalog audit

Drop your email and we will send you a sample audit report from your category within 3 business days. No commitment required.

No setup fee. No credit card.