Athletic Apparel Retailer Case Study | EKOM
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Athletic Apparel · 45,000+ SKUs

80% More AI Search Sessions. 95% More AI Revenue. 6 Weeks.

A national athletic retailer used EKOM's agent to surface and fix product data gaps across 45,000+ SKUs, driving measurable growth across AI and traditional search in 6 weeks.

+80%AI Search Sessions
+95%AI-Attributed Revenue
+79%AI Organic Sessions
6 WeeksTime to Results
The Challenge

The team knew the catalog had gaps. Fixing them manually wasn't realistic.

  • 01
    45,000+ products with inconsistent titles, descriptions, and metadata inherited from manufacturer feeds, unoptimized for search engines or AI systems.
  • 02
    A small merchandising team spent weeks on manual audits that still couldn't pinpoint which gaps cost the most visibility.
  • 03
    AI search tools like ChatGPT were driving traffic, but the team had no way to evaluate catalog readiness for these channels.
  • 04
    Cross-functional approval workflows slowed catalog updates to a crawl. Changes that should take days took months.
The Results

Measurable growth across every search channel

6 weeks after the team deployed approved changes

+80%AI Search SessionsChatGPT-attributed product discovery
+95%AI RevenueRevenue from AI search referrals
+79%AI Organic SessionsTotal AI-powered search traffic
+16%Conversion RateBetter-qualified AI traffic converting higher
+7.96%Google CTR LiftTraditional search click-through improvement
+7.3%Google ConversionTraditional organic conversion increase
Operational Impact

How the team worked smarter, not harder

Workflow Reduction
95%

Weeks of manual analysis reduced to hours of focused review and approval.

Products Analyzed
45,000+

Full catalog scanned against marketplace standards, prioritized without pulling anyone off day-to-day work.

Fixes Proposed
12.1K

Structured remediation patches generated for review; every change approved before deployment.

Review to Deploy
Minutes

Gap detection to approved patches to live deployment, previously weeks of cross-functional coordination.

Standards Applied
6

Validated against Google Shopping, Schema.org, Amazon, Shopify, AI visibility, and apparel-specific standards.

Continuous Monitoring
Ongoing

New products are automatically flagged against the same standards. The team decides what to fix and when.

"

We always knew better product data would move the needle. We just didn't have the bandwidth to find and fix every gap at scale. EKOM gave our team the intelligence to prioritize what matters, and we controlled every change that went live.

Ready?

Your team. Your decisions. Better data.

EKOM helps your team find gaps, prioritize fixes, and ship approved changes, turning better catalog data into measurable growth.

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