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Perplexity

Conversational AI search engine that answers questions with cited, real-time web sources.

4.4 (5)
Daniel NikulshynПеревірено Daniel Nikulshyn·Оновлено травень 2026 р.

Огляд

Perplexity is an AI-powered answer engine that combines large language models with live web search to respond to natural-language questions. Instead of returning a list of links, it produces direct answers accompanied by inline citations, making it easier to verify where information comes from. Users can ask follow-up questions in a threaded conversation, explore related queries, and switch between different underlying models. Perplexity is available through the web, mobile apps, and a browser extension, with a free tier and a Pro plan that unlocks more advanced models, file uploads, and deeper research features.

Ключові функції

  • Real-time web search with AI summaries
  • Inline citations for every answer
  • Pro Search for multi-step research
  • Choice of underlying LLMs (GPT, Claude, etc.)
  • File and document upload for analysis
  • Browser extension and mobile apps

Кейси використання

Fact-Checked Quick Research

Ask natural-language questions and get direct answers with inline citations, making it easy to verify claims and trace information back to original web sources.

Multi-Step Topic Exploration

Use Pro Search and threaded follow-up questions to dig deeper into complex topics, refining queries and exploring related angles in a single conversation.

Document Analysis with Web Context

Upload files on the Pro plan to have Perplexity summarize, analyze, or answer questions about them, combining document content with live web information.

On-the-Go Answers via Mobile or Browser

Use the mobile app or browser extension to quickly look up cited answers while reading articles, browsing the web, or working away from your desk.

Плюси і мінуси

Плюси

  • Cites sources alongside answers
  • Pulls in real-time information from the web
  • Clean, conversational interface
  • Free tier is genuinely useful
  • Supports follow-up and threaded queries

Мінуси

  • Answers can still contain inaccuracies
  • Source quality varies by topic
  • Advanced models require a paid plan
  • Less customizable than building your own RAG pipeline

Відгуки

4.4

Середнє з 5 оцінок.

5
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3
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Увійди, щоб залишити відгук.

O

Olga Ivanova

Compared a few options

Evaluated this against two competitors. Where it wins: inline citations for every answer and pulls in real-time information from the web. On balance the feature set — especially inline citations for every answer — justifies the 5 stars for our use case.

L

Liam O’Connor

Years in this space

I've evaluated a lot of these over the years. What stands out here is choice of underlying LLMs (GPT, Claude, etc.) — handled better than most — and free tier is genuinely useful. Worth the time if this is your use case.

I

Ingrid Bauer

Solid for our team

We rolled this out across the team last quarter and pulls in real-time information from the web. Real-time web search with AI summaries fits neatly into how we already work, and browser extension and mobile apps removed a step we used to do by hand. Less customizable than building your own RAG pipeline, which is the main caveat, but it has held up under daily use.

L

Linda Petersen

Solid for our team

We rolled this out across the team last quarter and supports follow-up and threaded queries. Choice of underlying LLMs (GPT, Claude, etc.) fits neatly into how we already work, and choice of underlying LLMs (GPT, Claude, etc.) removed a step we used to do by hand. Less customizable than building your own RAG pipeline, which is the main caveat, but it has held up under daily use.

M

Mei-Ling Wong

Does the job

Pretty happy overall. Real-time web search with AI summaries just works and supports follow-up and threaded queries. Less customizable than building your own RAG pipeline can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

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