Conversational AI & Chatbots
Perplexity
Answer engine that cites a source for every claim
Freemium - from $20 per monthRuns in the cloud
Pricing
Freemium - from $20 per month
$20 per month
Platforms
Web
Hosted app
Category
Conversational AI & Chatbots
71 tools
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0
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Last updated
Sep 23
Listing updated
Best for
Research with verifiable citations
Ask a market or technical question and get an answer with numbered sources, then click through to confirm each claim yourself.
Pricing checked Sep 2026
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About Perplexity
Perplexity is an AI answer engine that pairs large language models with live web search. Every response arrives with numbered inline citations, so you can verify each claim at its source, and follow-up questions keep the conversation context. Focus modes constrain answers to academic papers, forums, YouTube, or news when general web noise gets in the way.
A Deep Research mode composes longer, multi-step reports across many sources, and Spaces let teams pin files and instructions for shared, repeatable research. The Pro plan unlocks stronger model choices, higher usage limits, file uploads, and the Labs project mode; an API serves developers building search-grounded features. It suits analysts, students, journalists, and anyone replacing link-hunting with direct answers; it is not a substitute for reading primary sources on high-stakes facts.
- Inline citations for every claim make answers checkable by default
- Focus modes target academic, social, or news sources directly
- Fast multi-source synthesis beats manual link-hunting for orientation
- Free tier is genuinely useful for everyday questions
- Can still misread sources or miss paywalled and non-English material
- Citations do not guarantee accuracy; primary sources still matter
- Pro features and stronger models sit behind the subscription
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See categoryAssistants and answer engines built on large language models: general-purpose chat, research copilots with inline citations, and customer-support agents that resolve tickets end to end. Every listing documents model access, context limits, API availability, and pricing so you can match the tool to the workload instead of the hype.
