Master Perplexity with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Explore the key features that make Perplexity powerful for ai search workflows.
Perplexity is best for fast, cited research across the open web and, on enterprise plans, across company files and work apps. It works well when a user needs to understand a topic, compare vendors, summarize recent developments, or collect source-backed context for a brief. Based on our analysis of 870+ AI tools, its strongest fit is exploratory research where citations and follow-up questions matter more than long-form writing polish. It should still be used with source-level verification for decisions that carry legal, medical, financial, or reputational risk.
Perplexity has a free tier, while the public pricing page lists Pro at $20/month or $200/year. Enterprise Pro is listed at $40/month per seat or $400/year per seat, and Enterprise Max is listed at $325/month per seat or $3,250/year per seat. The page also displays annual effective monthly prices of $17/month for Pro, $34/month per seat for Enterprise Pro, and $271/month per seat for Enterprise Max. Large teams with more than 250 seats are directed to contact Perplexity for flexible pricing.
Perplexity Pro is the paid individual plan for users who need more capable research than the free experience. The pricing page lists access to recent AI models, model selection across GPT, Claude, Gemini, and more, deeper sourcing from Perplexity's index, and better support for complex questions, reports, documents, and apps. It also lists up to 200 Pro queries per week, up to 20 Deep Research queries per month, 25 asset generations per month, 3 videos per month, 50 uploads per week, and answers from files under 50MB.
Perplexity's enterprise materials describe security and administrative controls aimed at organizational use, including SOC 2 Type II certification, HIPAA, GDPR, and PCI DSS compliance, SSO, SCIM, user management, audit logs, and configurable file retention. The enterprise page states that Perplexity does not train its LLMs on enterprise customer data, and Enterprise pricing materials say Perplexity and third-party LLM partners do not train on enterprise data. Teams should still review the current contract, data processing terms, retention settings, and access controls before using it with confidential or regulated data.
Perplexity is more search-first than ChatGPT, Claude, or Gemini because its default workflow emphasizes current web retrieval, citations, and follow-up research. Compared with You.com, Perplexity's public enterprise materials emphasize premium citations, business controls, work-app search, and deployment across 50,000+ organizations. Compared with Consensus, Perplexity is broader for business, product, market, and current-events research, while Consensus is more focused on academic paper discovery and evidence summaries. Users who need a general AI assistant for writing or coding may prefer ChatGPT, Claude, or Gemini, while users who need cited web research may prefer Perplexity.
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Tutorial updated March 2026