Perplexity vs Elicit
Which one should you choose? Here's how they compare.
| Feature | Perplexity | Elicit |
|---|---|---|
| Rating | ★ 4.4 | ★ 4.4 |
| Pricing | $20/mo | $10-75/mo |
| Type | freemium | freemium |
| Company | Perplexity | Ought |
| Founded | 2022 | 2020 |
Perplexity Features
- •AI search
- •Source citations
- •Follow-up questions
- •Collections
Elicit Features
- •Paper summarization
- •Literature review
- •Data extraction
- •Research Q&A
Perplexity Pros
- ✓Shows sources
- ✓Good for research
- ✓Clean interface
Perplexity Cons
- ✗Can hallucinate sources
- ✗Limited free queries
- ✗Not always accurate
Elicit Pros
- ✓Saves hours of research
- ✓Automated analysis
- ✓Good for systematic reviews
Elicit Cons
- ✗Academic focus only
- ✗Subscription required
- ✗Can miss nuance
The Verdict
Perplexity and Elicit are two of the most popular tools in the search category, but they take different approaches to solving the same problems. Perplexity, developed by Perplexity (founded 2022), is described as "ai-powered search engine that provides answers with sources.". Meanwhile, Elicit by Ought (founded 2020) "ai research assistant that automates literature review by analyzing and summarizing research papers.". Both tools share the same rating of 4.4/5.0, making this a genuinely close comparison. Your choice comes down to specific needs rather than overall quality. Neither tool is perfect: Perplexity's main drawbacks include can hallucinate sources, limited free queries, while Elicit users typically cite academic focus only as its biggest limitation. However, Perplexity has an edge in research, which might be the tiebreaker if that's important to you. In terms of target audience, Perplexity is particularly popular among researchers and students, while Elicit tends to attract researchers and academics. Our verdict: With identical ratings, you can't go wrong with either. Try both free versions and pick the one that clicks with your workflow.
- • You need shows sources
- • You need good for research
- • You need saves hours of research
- • You need automated analysis