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What are the best pipe flanges?

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
1.2K
CPC
$0.80
Total est. value / mo
$54
Common ways people ask this (10)
  • What are pipe flanges used for in plumbing?
  • What are pipe flanges used for in industrial piping?
  • What are pipe flanges used for in oil and gas systems?
  • What are pipe flanges used for in water treatment systems?
  • What are pipe flanges used for in HVAC systems?
  • What are pipe flanges used for in high-pressure applications?
  • What are pipe flanges used for in low-pressure applications?
  • What are pipe flanges used for in maintenance and repairs?
  • What are pipe flanges used for in connecting valves and pumps?
  • What are pipe flanges used for in temporary pipe assemblies?

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 grainger.com 4/5 25 $19
2 mcmaster.com 5/5 15 $11
3 wermac.org 3/5 10 $7
4 flanges.com brand 4/5 7 $5
5 pipingnow.com 3/5 5 $3
6 victaulic.com 5/5 4 $2
7 bonneyforge.com 3/5 3 $2
8 engineeringtoolbox.com 2/5 2 $1
9 texasflange.com 2/5 2 $1
10 thomasnet.com 2/5 1 $0
11 swagelok.com 2/5 1 $0
12 forgedflanges.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 →