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Perplexity Guide

An AI-first search engine that cites its sources. Replaces 'Google + 10 tabs' with a single conversational answer.

4 min readFree + Pro ($20/mo)Updated Apr 2026
PerplexitySearchResearch
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Edited by The AIKnowHub team · Editorial team

Key takeaways

  • 1Quick Search — fast cited answers
  • 2Pro Search — multi-step, more thorough
  • 3Deep Research — 5–30 min long-form reports
  • 4Focus modes — Academic, Reddit, YouTube, Wolfram
  • 5Spaces — shared collaborative threads with context
  • 6Model picker (Pro) — GPT, Claude, Sonar, others
  • 7Mobile app + browser extension

Best for

  • Research and comparisons
  • Current information / news synthesis
  • Replacing search-engine + tab-juggling workflow
  • Niche topics where Google has decayed into SEO spam

Not for

  • Long-form writing or creative work
  • Code generation or agent loops
  • Anything that needs no internet — overkill for offline tasks

What it is

Perplexity is a search engine that answers questions in natural language with inline citations. You ask, it searches the web, reads the top results, and synthesizes an answer with links to every source it used.

It's the closest thing to "the way search should have always worked."

Where it shines

  • Quick research — get a synthesized answer instead of skimming 10 tabs.
  • Source-backed answers — every claim links to a citation.
  • Follow-ups — it remembers conversation context, so you can drill down.
  • Comparisons — "compare X vs Y," "best laptops under $1500 in 2026."
  • Niche topics where Google's algorithm has decayed into SEO spam.

Modes worth knowing

  • Quick search — fast answer from the top sources.
  • Pro search — multi-step search, asks clarifying questions, deeper reasoning.
  • Deep Research — long-form report (5–30 min) for complex topics.
  • Focus modes — restrict to Academic, Reddit, YouTube, etc.
  • Spaces — collaborative threads with shared context.

Practical workflow

  1. Use Quick for everyday lookups.
  2. Use Pro when you'd otherwise open 5+ tabs.
  3. Use Deep Research for "I need a briefing document by tomorrow."
  4. Save useful threads to Spaces to revisit.

Tips

  • Always check the citations on factual claims — Perplexity is fast, but it can misread sources.
  • Switch focus mode to Academic for medical, legal, or scientific questions.
  • Pro lets you choose the underlying model (GPT, Claude, Sonar, etc.) — try a few; results vary.

Honest take

Perplexity is the best replacement for traditional search. It is not a replacement for Claude or ChatGPT — it's optimized for retrieval, not for long-form reasoning, creative writing, or code.

Use Perplexity to find information. Use a general-purpose LLM to do something with it.

Pros and cons

Pros

  • Inline citations for every claim
  • Genuinely fast Quick Search
  • Strong Pro and Deep Research tiers
  • Free tier is usable for daily needs

Cons

  • Citations occasionally misread the underlying source
  • Pro can feel slow on heavy queries
  • Not a general-purpose LLM

Prompt examples

Copy any of these, replace the placeholders, run.

Comparison query

Compare the cheapest LLM API providers for high-volume embedding workloads.
Focus on $/million tokens, model quality, and rate limits.
Include citations and prefer pricing pages over blog posts.

Niche technical research

What's the current state of streaming SQL engines for ClickHouse vs Materialize vs RisingWave?
Cover: ingestion lag, materialized view freshness, and production reliability stories.
Use Academic + Reddit focus modes.

Local recommendation

I'm in {{city}} for 3 days. Find me coffee shops with:
- strong wifi
- quiet enough for calls
- open before 8am
- not chains

Cite each recommendation with a source (reviews, articles, etc.).

Alternatives

PhindYou.comKagi Assistant

Frequently asked questions

Perplexity is search-first; the LLM is a synthesis layer. ChatGPT is chat-first with browsing as a tool. For pure research tasks, Perplexity is usually faster and more reliable.

Watch

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