01 / THE NUMBER
+31%
Traffic from AI answers
The Fragrance Square, cited by assistants
Fragrance retail · Innovate
Visit thefragrancesquare.com ↗02 / CONTEXT
The Fragrance Square is an online fragrance retailer competing against larger stores for the same buyers and the same search queries.
03 / IN THEIR WORDS
“People ask assistants for scent recommendations, and our products never come up.”
04 / WHAT WAS BROKEN
The real diagnosis.
01
Product pages listed attributes but answered none of the questions buyers actually ask.
02
No comparison or guide content for assistants to draw from.
03
Thin metadata gave models little to cite.
05 / THE ARCHITECTURE
06 / WHAT IT DOES NOW
Restructured product and guide content (notes, comparisons, and buying guidance written to be quoted) so assistants recommend the store’s products directly.
07 / THE RESULT
+31% traffic from AI answers
- +Products cited in assistant recommendations for scent-family queries.
- +Higher intent: buyers arrive already sold.
08 / IN THEIR WORDS
“We’re getting buyers who say an assistant recommended us. That never used to happen.”
Director, The Fragrance Square
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