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99bikes.com.au

Recommended by ChatGPT across 31 prompt topics people ask about
1
ESTIMATED
ChatGPT referrals / mo
Prompt topics
31
Monthly ChatGPT prompts
3.7K
Est. value / mo
$0
Avg rank
12.03
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 99bikes.com.au

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

What are the best cycles below 5000? rank 10 1 /mo What's the best bicycle under 40000? rank 8 0 /mo What are the best bicycles under 7000? rank 16 0 /mo What's the best bike under 90k? rank 8 0 /mo What's the best bikes under $7000? rank 9 0 /mo What are the best carbon road bikes under 1500? rank 14 0 /mo What is the best cycle under 4500? rank 15 0 /mo What's the best cycle under 5000? rank 15 0 /mo What is the best cycle under 5000 gear? rank 11 0 /mo What's the best cycle under 7000? rank 9 0 /mo What are the best cycles under 10000? rank 12 0 /mo What's the best fat bike under 12000? rank 11 0 /mo What's the best fat bike under 30000? rank 10 0 /mo What's the best gear bicycle under 8000? rank 17 0 /mo What is the best giant hybrid bike? rank 19 0 /mo What's the best hybrid bike under 20000? rank 11 0 /mo What's the best hybrid gear cycle under 15000? rank 16 0 /mo What's the best ladies push bike? rank 9 0 /mo What's the best mountain bike under 50000? rank 10 0 /mo What's the best mountain cycle under 15000? rank 14 0 /mo What's the best mountain cycle under 20000? rank 19 0 /mo Which online bicycle retailer is best? rank 19 0 /mo What's the best racing bike under 1 lakh? rank 13 0 /mo What's the best road bicycle under 50000? rank 4 0 /mo What's the best road bike under 100k? rank 11 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 are the best cycles below 5000?, verbatim.

    ChatGPT:
    1. bikewagon.com
    2. cyclestore.co.uk
    3. statebicycle.com
    4. decathlon.com
    5. reidbikes.com
    6. bikesonline.com
    7. ibiscycles.com
    8. specialized.com

    Where 99bikes.com.au ranks

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

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

    Who else ChatGPT recommends

    Sites that come up for the same prompts as 99bikes.com.au, ranked by how many topics they share.

    trekbikes.com
    31 shared
    giant-bicycles.com
    30 shared
    specialized.com
    30 shared
    flipkart.com
    24 shared
    decathlon.in
    23 shared
    amazon.in
    20 shared
    decathlon.com
    19 shared
    reidbikes.com
    19 shared
    canyon.com
    18 shared
    firefoxbikes.com
    17 shared
    cyclingweekly.com
    16 shared
    montra.in
    15 shared
    bikeradar.com
    15 shared
    chainreactioncycles.com
    14 shared
    herolectro.com
    14 shared
    bikeexchange.com
    14 shared
    merida-bikes.com
    12 shared
    amazon.com
    10 shared
    cannondale.com
    9 shared
    wiggle.com
    9 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 →