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What are the best binder dividers?

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
2.8K
CPC
$0.29
Total est. value / mo
$49
Common ways people ask this (10)
  • What are the best binder dividers for school?
  • What are the best binder dividers for office use?
  • What are the best binder dividers for organizing documents?
  • What are the best binder dividers for college students?
  • What are the best binder dividers with tabs?
  • What are the best binder dividers with pockets?
  • What are the best binder dividers with pre-printed labels?
  • What are the best binder dividers for durable daily use?
  • What are the best binder dividers for a 3-ring binder?
  • What are the best binder dividers on a budget?

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 avery.com 5/5 56 $16
2 staples.com 5/5 33 $9
3 amazon.com 5/5 22 $6
4 walmart.com 5/5 15 $4
5 officedepot.com 5/5 11 $3
6 target.com 5/5 8 $2
7 paperpro.com 4/5 6 $1
8 quill.com 5/5 5 $1
9 uline.com 4/5 4 $1
10 mead.com 4/5 3 $0
11 officeworks.com 2/5 2 $0
12 binders.com 3/5 2 $0
13 officemax.com 2/5 1 $0
14 thecontainerstore.com 3/5 1 $0
15 michaels.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 →