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Goobike.com

Recommended by ChatGPT across 1 prompt topics people ask about
1
ESTIMATED
ChatGPT referrals / mo
Prompt topics
1
Monthly ChatGPT prompts
825
Est. value / mo
$0
Avg rank
9.00
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 Goobike.com

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

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 Japan motorcycle?, verbatim.

    ChatGPT:
    1. yamaha-motor.co.jp
    2. honda.co.jp
    3. kawasaki-motors.com
    4. suzuki.co.jp
    5. bikerich.co.jp
    6. autoby.jp
    7. webike.net
    8. young-machine.com

    Where Goobike.com ranks

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

    #9
    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
    1
    #10
    0
    #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 Goobike.com, ranked by how many topics they share.

    autoby.jp
    1 shared
    rideapart.com
    1 shared
    webike.net
    1 shared
    global.honda
    1 shared
    cycleworld.com
    1 shared
    jaf.or.jp
    1 shared
    honda.co.jp
    1 shared
    bikebros.co.jp
    1 shared
    suzuki.co.jp
    1 shared
    visordown.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 →