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What's the best love perfume?

A commercial recommendation prompt. We size how many people ask ChatGPT this from real search demand, then run it through ChatGPT to see which websites it recommends.

Est. people asking / mo
1.9K
CPC
$0.12
Total est. value / mo
$13
Common ways people ask this (15)
  • What's the best love perfume for women?
  • What's the best love perfume for men?
  • What's the best love perfume for date night?
  • What's the best love perfume for everyday wear?
  • What's the best love perfume for romantic occasions?
  • What's the best love perfume for a gift?
  • What's the best love perfume for a first date?
  • What's the best love perfume with floral notes?
  • What's the best love perfume with sweet notes?
  • What's the best love perfume with musky notes?
  • What's the best long-lasting love perfume?
  • What's the best budget love perfume?
  • What's the best luxury love perfume?
  • What's the best love perfume for summer?
  • What's the best love perfume for winter?

What ChatGPT actually answered

One of the 5 times we asked ChatGPT this, verbatim. The leaderboard below aggregates all 5 runs.

Websites ChatGPT recommends for this prompt

Aggregated across 5 runs (min 2/5 appearances). Estimated visits split the prompt's demand by rank. Sites matching the prompt's own brand are marked branded and excluded from the leaderboard.

RankWebsiteAppearsEst. visits / moEst. value / mo
1 fragrantica.com 5/5 37 $4
2 sephora.com 5/5 22 $2
3 ulta.com 5/5 15 $1
4 macys.com 5/5 10 $1
5 nordstrom.com 5/5 7 $0
6 perfume.com brand 4/5 6 $0
7 fragrancenet.com 5/5 4 $0
8 fragrancex.com 4/5 3 $0
9 theperfumeshop.com 3/5 2 $0
10 chanel.com 5/5 2 $0
11 diptyqueparis.com 4/5 1 $0
12 dillards.com 2/5 1 $0
13 dior.com 3/5 1 $0
14 joomalone.com 3/5 1 $0
15 lelabofragrances.com 2/5 1 $0
16 pennhaligons.com 2/5 0 $0
17 penhaligons.com 2/5 0 $0
18 yslbeauty.com 2/5 0 $0
19 armani.com 2/5 0 $0
20 tomford.com 2/5 0 $0
How is this estimated?

ChatGPT doesn't publish prompts, so we don't show logged conversations. We measure real demand for this topic from Google search volume, scale it to ChatGPT's user base (on average about 1 ChatGPT user for every 8 Google searchers, a ratio that varies by topic), and run the prompt through ChatGPT 5 times to record which websites it recommends and in what order. Estimated visits split that demand across the recommended sites by a click-through-by-rank curve. Every number is a modeled estimate, not measured analytics. Full methodology →