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What's the best rubber weight?

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
200
CPC
$0.24
Total est. value / mo
$2

What ChatGPT actually answered

The 5 times we asked ChatGPT this, each answer verbatim. The leaderboard below aggregates all 5 runs.

You: What's the best rubber weight?
ChatGPT:
  1. roguefitness.com
  2. repfitness.com
  3. texaspowerguides.com
  4. gymreapers.com
  5. americanbarbell.com
  6. weightvest.com
  7. ironcompany.com
  8. capbarbell.com
  9. performbetter.com
  10. ivankobarbell.com
  11. fitnessfactory.com
  12. yorkbarbell.com
  13. titan.fitness
  14. body-solid.com
  15. walmart.com
  16. amazon.com
  17. academy.com
  18. dickssportinggoods.com
  19. target.com
  20. costco.com

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.

Arrows show each site's rank change since Aug 2026.

RankWebsiteEst. visits / mo
1 roguefitness.com 4
2 repfitness.com 2
3 capbarbell.com 2
4 ▲3 titan.fitness 1
5 ▲1 fitnessfactory.com 1
6 ▲5 ironcompany.com 1
7 ▲11 performbetter.com 0
8 new americanbarbell.com 0
9 new gymreapers.com 0
10 body-solid.com 0
11 ▼7 amazon.com 0
12 ▼7 walmart.com 0
13 new yorkbarbell.com 0
14 new gymwayusa.com 0
15 new fringesport.com 0
16 new forceusa.com 0
17 new bellsofsteel.com 0
18 new ivanko.com 0
19 new ivankobarbell.com 0
20 new strengthshop.com 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 →