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Neoma-bs.fr

Recommended by ChatGPT across 1 prompt topics people ask about
0
ESTIMATED
ChatGPT referrals / mo
Prompt topics
1
Monthly ChatGPT prompts
163
Est. value / mo
$0
Avg rank
10.00
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 Neoma-bs.fr

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

What's the best master in luxury management? rank 10 0 /mo

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 master in luxury management?, verbatim.

    ChatGPT:
    1. essec.edu
    2. em-lyon.com
    3. polimoda.com
    4. lusso-trend.com
    5. glion.edu
    6. mip.polimi.it
    7. audencia.com
    8. icg-master.com

    Where Neoma-bs.fr ranks

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

    #10
    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
    1
    #11
    0
    #12
    0
    #13
    0
    #14
    0
    #15
    0
    #16
    0
    #17
    0
    #18
    0
    #19
    0
    #20
    0

    Who else ChatGPT recommends

    Sites that come up for the same prompts as Neoma-bs.fr, ranked by how many topics they share.

    kedge.edu
    1 shared
    glion.edu
    1 shared
    polimoda.com
    1 shared
    ehl.edu
    1 shared
    rmit.edu.au
    1 shared
    audencia.com
    1 shared
    essec.edu
    1 shared
    skema.edu
    1 shared
    em-lyon.com
    1 shared
    mip.polimi.it
    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 →