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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.

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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.

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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.

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

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The Challenge: Missed SEO and Scaling Opportunities

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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​

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ecommerce seo

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

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Want Results Like Petra?

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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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