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What's the best fire poker?

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
$0.25
Total est. value / mo
$28
Common ways people ask this (10)
  • What's the best fire poker for fireplaces?
  • What's the best fire poker for fire pits?
  • What's the best fire poker for wood stoves?
  • What's the best fire poker for camping?
  • What's the best fire poker for heavy-duty use?
  • What's the best fire poker for long reach?
  • What's the best fire poker for safety?
  • What's the best fire poker for indoor use?
  • What's the best budget fire poker?
  • What's the best fire poker set?

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 37 $9
2 walmart.com 5/5 22 $5
3 lowes.com 5/5 15 $3
4 homedepot.com 5/5 10 $2
5 wayfair.com 5/5 7 $1
6 target.com 5/5 6 $1
7 acehardware.com 5/5 4 $1
8 ebay.com 4/5 3 $0
9 etsy.com 4/5 2 $0
10 harborfreight.com 4/5 2 $0
11 menards.com 3/5 1 $0
12 firepitsdirect.com 3/5 1 $0
13 overstock.com 2/5 1 $0
14 northlineexpress.com 3/5 1 $0
15 williams-sonoma.com 3/5 1 $0
16 cabelas.com 2/5 0 $0
17 basspro.com 2/5 0 $0
18 bbqguys.com 3/5 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 →