Elicit vs SciSpace: which does AI recommend?

· ChatGPT Search and Google AI Mode

Based on every AI answer that names bothReviewed by

How we measure

AI summary

is favored for retrieving relevant papers. When both brands are named, appears first more often, while is slightly ahead among recommendations.

Listed first when AI names both

ElicitElicit: 66% (Elicit leads)SciSpaceSciSpace: 34%

Recommended when named

ElicitElicit: 89%
SciSpaceSciSpace: 93%

Pick Elicit for

  • Summarizing new medical literature Usually
  • Finding papers, datasets, and hypotheses Almost always
  • Using peer-reviewed papers only Almost always

Topic by topic

Mentioned in, as a share of each topic’s answers

Elicit named more3SciSpace named more3

Who AI mentions first

Elicit listed firstSciSpace listed first

is listed first every month.

  1. JunElicit listed first: 60%SciSpace listed first: 40%
  2. JulElicit listed first: 67%SciSpace listed first: 33%
  3. AugElicit listed first: 68%SciSpace listed first: 32%
  4. SepElicit listed first: 67%SciSpace listed first: 33%

When both brands are named, Google AI Mode and ChatGPT Search list first more often than not. Every engine leans to by about the same margin.

  • Google AI ModeElicit listed first: 67%SciSpace listed first: 33%
  • ChatGPT SearchElicit listed first: 64%SciSpace listed first: 36%

Elicit vs SciSpace: common questions

Is Elicit better than SciSpace?
SciSpace is favored for retrieving relevant papers. When both brands are named, Elicit appears first more often, while SciSpace is slightly ahead among recommendations.
Do ChatGPT and Google AI Mode recommend Elicit or SciSpace?
When both brands are named, Google AI Mode and ChatGPT Search list Elicit first more often than not. Every engine leans to Elicit by about the same margin.
What are the alternatives to Elicit and SciSpace?
Consensus appears in most of these answers, with Scite and Scholarcy also named.
When is Elicit the better pick?
AI usually lists Elicit first for: Summarizing new medical literature; Finding papers, datasets, and hypotheses; Using peer-reviewed papers only.

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