Research — AI That Shows Its Homework

The internet has approximately 130 trillion pages. Finding the right one used to require either Google-fu or a research librarian. These tools promise something better: answers with receipts. One was built by a startup obsessed with citations; the other by the company that is search. Both change how you find information — but in surprisingly different ways.

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Perplexity Deep Research

By Perplexity AI · Updated 2026

What It Actually Is

Perplexity observed something obvious that everyone else missed: people don't just want answers — they want to know why those are the answers. Every claim comes with inline citations and source links. It's the difference between a friend who says "I heard somewhere that..." and a researcher who says "According to this paper, published by these people, on this date..."

The Deep Research tier takes this further. It doesn't just search and summarize — it conducts multi-step investigations. Ask it a complex question, and it plans a research strategy, queries multiple sources, cross-references the results using multiple AI models (including Claude and GPT), and assembles a comprehensive report. It's essentially a research assistant who works in minutes instead of days.

Key Strengths

  • Citation-first philosophy: Every answer includes inline citations with clickable source links. You can verify any claim instantly.
  • Multi-model research: Pro mode cross-references answers using multiple AI models — not just one model's perspective, but a consensus view.
  • Deep Research mode: State-of-the-art on deep-research benchmarks. Multi-step investigations that would take a human researcher hours.
  • Real-time information: Unlike ChatGPT or Claude, Perplexity searches the live web for every query. No knowledge cutoff problem.
  • Collections: Organize research into persistent collections you can share and build upon over time.
What Sets It Apart
  • Arena Elo — 1,162 (#9 Search)Crowdsourced blind comparisons on arena.ai Search leaderboard with 183K+ votes. Ranks #9 across 19 search models — behind Google and OpenAI but competitive.
  • Source attribution — Inline citationsEvery factual claim is linked to a verifiable source. You can check any answer with one click — the opposite of hallucination.
  • Deep Research — 50+ sources per reportExtended research mode synthesizes information from dozens of web pages, papers, and articles into structured reports with full citation chains.

Honest Limitations

  • Subscription tiers: The best Deep Research stack is gated to higher tiers ($20/mo Pro, $200/mo Enterprise). Heavy research sessions quickly become a subscription decision.
  • Source quality variation: It cites sources, but not all sources are created equal. A Reddit comment and a peer-reviewed paper both get citations — buyer beware.
  • Not conversational: It's optimized for research queries, not back-and-forth dialogue. For creative writing or coding, use a different tool.

The Verdict: If your work requires verifiable information — journalism, academic research, market analysis, due diligence — Perplexity is indispensable. The citation model isn't just a feature; it's a fundamentally different philosophy about what an AI answer should look like.