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Energycomponents.com

Recommended by ChatGPT across 1 prompt topics people ask about
0
ESTIMATED
ChatGPT referrals / mo
Prompt topics
1
Monthly ChatGPT prompts
110
Est. value / mo
$0
Avg rank
19.00
These aren't logged prompts (ChatGPT doesn't share those). They're the commercial topics people ask ChatGPT to recommend products for, sized from real search demand and verified by running each one through ChatGPT. How we estimate this.

Prompts where ChatGPT recommends Energycomponents.com

Each topic written the way a person would ask it. Estimated visits = this site's share of that prompt's demand.

Also occasionally recommended

ChatGPT named Energycomponents.com here in only some runs (below our 2-of-5 confidence bar), so these earn no estimated traffic, but they show where it occasionally surfaces this site.

Different ways people phrase this prompt. We merge them into one category, and the full ranking covers them all.

View full details for this prompt →
    View full details for this prompt →

    Proof: a real ChatGPT answer

    One of the 5 runs for What's the best software for the oil and gas industry?, verbatim.

    ChatGPT:
    1. epicor.com
    2. halliburton.com
    3. schlumberger.com
    4. aveva.com
    5. osisoft.com
    6. siemens.com
    7. ibm.com
    8. sap.com

    Where Energycomponents.com ranks

    How often ChatGPT places this site at each position across its prompt topics.

    #19
    most common spot
    0%
    of the time in the top 3
    #1
    0
    #2
    0
    #3
    0
    #4
    0
    #5
    0
    #6
    0
    #7
    0
    #8
    0
    #9
    0
    #10
    0
    #11
    0
    #12
    0
    #13
    0
    #14
    0
    #15
    0
    #16
    0
    #17
    0
    #18
    0
    #19
    1
    #20
    0

    Who else ChatGPT recommends

    Sites that come up for the same prompts as Energycomponents.com, ranked by how many topics they share.

    epicor.com
    1 shared
    ptc.com
    1 shared
    sap.com
    1 shared
    aspentech.com
    1 shared
    oracle.com
    1 shared
    schlumberger.com
    1 shared
    halliburton.com
    1 shared
    siemens.com
    1 shared
    dnv.com
    1 shared
    aveva.com
    1 shared
    petrofac.com
    1 shared
    cognite.com
    1 shared
    osisoft.com
    1 shared
    ibm.com
    1 shared
    oildex.com
    1 shared
    hexagon.com
    1 shared
    enverus.com
    1 shared
    emerson.com
    1 shared
    How is this estimated?

    ChatGPT doesn't publish prompt data. We measure real demand for each commercial topic from Google search volume, scale it to ChatGPT's user base (about 1 ChatGPT user for every 8 Google searchers), and run each topic through ChatGPT 5 times to record which sites it recommends and in what order. A click-through-by-rank curve splits each topic's demand across the recommended sites. Every figure is a modeled estimate, not measured analytics. Full methodology →