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How AI-Powered Digital Shelf Optimization Increased Amazon Sales by Over 20%

Case study genrise.ai

Meet Petra — Driving Ecommerce for a Popular Snacking Brand

 

Petra runs ecommerce content for one of the biggest snacking brands in the US. With over 200 products listed across more than a dozen marketplaces, she’s no stranger to marketplace complexity.

Her team owns multiple powerful brands — people know the name, love the products, and search for them often. In fact, 90% of their organic search traffic comes from branded keywords.

But she’s barely tapping into non-branded search. That’s a major gap, especially when her commercial team is pumping serious ad spend into retail media campaigns targeting sweet snackers.

And the product pages? They’re not aligned with that strategy.

The Challenge: Missed SEO and Scaling Opportunities

Petra was stuck juggling three big issues:
 
  • No visibility on high-value non-branded keywords: Her listings weren’t built to show up for category-level searches like “best sweet snacks” or “low sugar treats.”
     

  • Retail media vs content mismatch: The media team was telling one story, while the product pages told another — keywords didn’t match, and SEO impact was lost.
     

  • Impossible to scale content updates: With over 200 SKUs, manual updates weren’t cutting it. And finding the right balance between SEO, brand tone, and Amazon’s rules? A nightmare.
     

She knew she needed to fix this — fast.
 

What Changed: Genrise Enters the Discussion

Petra brought in Genrise, a digital shelf optimisation platform built for brands like hers. Here’s what happened:
 

  • Keyword Alignment with Campaign Strategy: Genrise automatically used retail media keywords to update Petra’s Amazon listings with the same phrases from her campaigns.
     

  • Intelligent SEO Across 200+ Listings: Genrise knows how people search and what the marketplace algorithm likes. It uses the right mix of keywords — from popular category terms to benefit-driven long-tails — with smart placement, proper density, and SEO best practices.
     

  • Always-On Optimisation: Genrise takes regular input from digital shelf analytics and keeps updating listings with new keyword data — all automatically, without any manual tracking.
     

Petra didn’t just update a few SKUs. She scaled content improvement across her entire catalogue.
 

The Results: From Missed Impressions to Market Leader


After going live with Genrise-optimised content:
 

  • Amazon sales increased by over 20%
     

  • Non-branded search traffic grew by 38%
     

  • Campaign alignment improved across marketplaces,
    supporting retail media goals

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

ecommerce seo

For Petra, this wasn’t just about better listings. It was about winning visibility where her brand wasn’t even playing before.

Want Results Like Petra?

Get a free digital shelf audit and find out how AI product listings and Amazon SEO can unlock your next growth wave.

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