Case study
How ecommerce search demand was mapped into service content, local signals, and a publishing workflow — with 46 shopify publishes and 133 ai queries recorded against the work.
46
Shopify publishes
133
AI queries
Ecommerce
Industry
Expanding ecommerce discovery across fragrance topics for Auremie Perfumes. Read the Uplift AI customer story for ecommerce SEO workflow growth.
For ecommerce businesses, shoppers arrive on category, product, and comparison queries at very different stages of intent. Mapping that demand against the pages that already existed turned the gap into a list of missing answers rather than a generic keyword export, with shopify publishes and ai queries set as the measures the work would be judged on.
Planning concentrated on category pages that merchandise intent, product detail that answers pre-purchase objections, and buying guides. Because shopify publishes was the headline measure, briefs prioritised the pages closest to that outcome first, and every item moved through the same review and publishing path so what shipped stayed traceable to the demand that justified it.
Supporting work covered clean faceted-navigation rules, canonical discipline across variants, and product structured data. Against that baseline this account recorded 46 shopify publishes and 133 ai queries. Those figures describe Expanding ecommerce discovery across fragrance topics for Auremie Perfumes only — they are a record of one engagement, not a projection for other ecommerce businesses.
Next step
Open the audit, onboarding, or publishing workflow and keep the next action tied to a real business profile.