Perplexity
Conversational search with cited sources
An AI answer engine that searches the live web and returns synthesised answers with inline citations, plus a research mode for longer multi-step questions.
Picked for Literature Review & Evidence Kit.
Perplexity answers questions by searching the web at the moment you ask, then writing a synthesised response with inline citations back to the pages it used. That citation trail is the whole pitch: instead of trusting a single generated paragraph, you can click through and see where each claim came from, which matters most for anything time-sensitive or contested.
It suits people who currently default to a search engine and then have to read five tabs to get an answer — researchers, analysts, students, and anyone fact-checking a claim before repeating it. Focus modes let you scope a query to academic papers or a specific platform, and Deep Research will run a longer multi-step investigation when a single search pass isn’t enough.
Where it struggles is depth on narrow technical subjects, where the synthesis can smooth over disagreements between sources or miss the one caveat that mattered. It’s also only as good as what’s publicly indexed, so it’s a poor fit for anything behind a login or paywall. Treat the citations as a starting point for verification, not a substitute for it.
Features
Cited answers
Every claim links to the source it came from, so an answer can be checked rather than trusted.
Focus modes
Scope a search to academic papers, YouTube, Reddit or the whole web.
Deep Research
A slower, multi-step mode that runs dozens of searches and reads before writing a longer report.
Spaces
A persistent thread with its own uploaded files and instructions, so an ongoing piece of research keeps its context between sessions.
File upload and analysis
Ask questions of your own PDF or spreadsheet alongside live web results rather than choosing between the two.
Model choice
Select the underlying model on paid plans, which matters when one handles the synthesis better than another.
Use cases
- Fact-checking a claim against primary sources
- Scoping a topic before deeper reading
- Pulling together a first-pass literature summary
- Keeping a running research thread in a Space with its own sources
- Questioning an uploaded PDF alongside current web results
- Comparing what several sources actually say before forming a view
Compare Perplexity head to head
Side-by-side comparisons, on pricing, platforms and where each one wins.
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