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What's the best foot powder?

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
2.3K
CPC
$0.12
Total est. value / mo
$16
Common ways people ask this (12)
  • What's the best foot powder for sweaty feet?
  • What's the best foot powder for smelly feet?
  • What's the best foot powder for athlete's foot?
  • What's the best foot powder for itch relief?
  • What's the best foot powder for all-day freshness?
  • What's the best foot powder for men?
  • What's the best foot powder for women?
  • What's the best foot powder for daily use?
  • What's the best foot powder for shoes?
  • What's the best foot powder for sensitive skin?
  • What's the best budget foot powder?
  • What's the best foot powder for long shifts?

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 amazon.com 5/5 45 $5
2 walmart.com 5/5 27 $3
3 target.com 5/5 18 $2
4 walgreens.com 5/5 12 $1
5 cvs.com 5/5 9 $1
6 drscholls.com 5/5 7 $0
7 riteaid.com 4/5 5 $0
8 goldbond.com 4/5 4 $0
9 drugstore.com 2/5 3 $0
10 boots.com 2/5 2 $0
11 armandhammer.com 3/5 2 $0
12 superdrug.com 2/5 1 $0
13 healthline.com 2/5 1 $0
14 verywellhealth.com 2/5 1 $0
15 nike.com 2/5 1 $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 →