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Dblp.org

Recommended by ChatGPT across 30 prompt topics people ask about
0
ESTIMATED
ChatGPT referrals / mo
Prompt topics
30
Monthly ChatGPT prompts
3.1K
Est. value / mo
$0
Avg rank
15.40
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 Dblp.org

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 academic databases and search engines? rank 18 0 /mo What's the best academic research AI? rank 14 0 /mo What's the best academic search engine? rank 12 0 /mo What's the best academic social networking sites? rank 10 0 /mo What's the best AI search engine for academic research? rank 20 0 /mo What are the best AI sites for research? rank 15 0 /mo What's the best AI reference finder? rank 20 0 /mo What's the best AI to find research papers? rank 16 0 /mo What's the best AI to search for research papers? rank 6 0 /mo What's the best conference chair? rank 15 0 /mo What are the best free academic databases? rank 19 0 /mo What are the best free research paper websites? rank 15 0 /mo What is the best Google Scholar alternative? rank 14 0 /mo What's the best LLM for research papers? rank 13 0 /mo Which research paper search engine is best? rank 11 0 /mo What's the best research paper software? rank 13 0 /mo What's the best scholarly search engine? rank 14 0 /mo What's the best scientific article search engine? rank 20 0 /mo What's the best scientific paper search engine? rank 20 0 /mo Which science search engine is best? rank 19 0 /mo What's the best search engine for research articles? rank 15 0 /mo What's the best search engine for academic research? rank 19 0 /mo What's the best search engine for scientific research? rank 16 0 /mo What's the best search engine for scholarly articles? rank 16 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 academic databases and search engines?, verbatim.

    ChatGPT:
    1. scholar.google.com
    2. scopus.com
    3. webofscience.com
    4. pubmed.ncbi.nlm.nih.gov
    5. arxiv.org
    6. doaj.org
    7. springer.com
    8. link.springer.com

    Where Dblp.org ranks

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

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

    Who else ChatGPT recommends

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

    arxiv.org
    28 shared
    scholar.google.com
    28 shared
    semanticscholar.org
    27 shared
    researchgate.net
    26 shared
    pubmed.ncbi.nlm.nih.gov
    25 shared
    openalex.org
    23 shared
    crossref.org
    21 shared
    core.ac.uk
    21 shared
    springer.com
    19 shared
    doaj.org
    19 shared
    dimensions.ai
    17 shared
    sciencedirect.com
    16 shared
    base-search.net
    15 shared
    lens.org
    15 shared
    acm.org
    12 shared
    ieeexplore.ieee.org
    12 shared
    scopus.com
    11 shared
    wiley.com
    11 shared
    nature.com
    9 shared
    eric.ed.gov
    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 →