Perplexity is a San Francisco-based AI answer engine founded in 2022 by former Google, OpenAI, and DeepMind researchers. Rather than returning a list of links, it searches the web in real time, synthesizes results across sources, and delivers a direct answer with clickable citations — addressing a fundamental limitation of both traditional search engines and static LLMs. It has grown to 45M+ monthly active users as of early 2026, processes roughly 780 million queries per month, and reached $450M+ in annualized recurring revenue by March 2026 at a $20B+ valuation. The platform has expanded well beyond basic search: Pro and Enterprise tiers add access to frontier models (GPT, Claude, Gemini), internal document search, a Comet agentic browser, and a Model Council for parallel multi-model comparison. An ongoing legal landscape includes copyright disputes with publishers including The New York Times and Dow Jones, which buyers and enterprise customers should be aware of.
Perplexity
Real-time, cited answers to any question on the web
Compliance
GDPR SOC 2
Key Features
- Real-time cited search: Every answer synthesizes live web results and links every claim back to its source, combining search recency with LLM synthesis — providing verifiable answers rather than static training data or bare link lists.
- Pro Search: Runs multiple parallel web searches, synthesizes contradictions, and produces comprehensive research reports — slower and more thorough than standard search, used for in-depth research queries.
- Deep Research: A more extensive multi-step research mode that constructs longer, more structured reports from broad source sets, targeted at research-intensive use cases in legal, investment, and consulting contexts.
- Internal Knowledge Search (Enterprise): Allows Pro and Enterprise users to search across uploaded internal documents (Excel, Word, PDF, and others) simultaneously with web results — up to 500 indexed files for Enterprise Pro.
- Model Council: Runs a query through three frontier LLMs simultaneously and surfaces comparison outputs, allowing users to evaluate responses across models rather than committing to one — available to Perplexity Max subscribers.
- Comet (agentic browser): A Chromium-based browser that integrates Perplexity’s search engine and can execute multi-step autonomous tasks (form filling, research workflows, comparisons) — released free for all platforms in late 2025.
Use Cases
- For research-heavy knowledge work: A consultant or investment analyst uses Pro Search and Deep Research to pull together cited competitive intelligence or regulatory research in hours rather than days of manual web research.
- For enterprise teams needing internal + external search: An enterprise deploys Perplexity Enterprise so employees can query internal documentation and the public web simultaneously from a single interface with audit logs and admin controls.
- For developers building search-grounded applications: An AI developer integrates Perplexity’s Sonar API to add real-time, cited web grounding to their product without building search infrastructure from scratch.
Pricing MODELS
Freemium
Pricing Summary
Free tier with basic search. Pro plan at $20/month (or $200/year), adding frontier model access, Pro Search, and more. Enterprise Pro is custom-quoted and adds team admin controls, SSO, audit logs, and expanded file indexing. API usage is billed separately on a usage-based model.
Company Size Fit
Enterprise Mid-market SMB
Technical Snapshot
API Available
Yes
LLM Provider
Multi-model, Proprietary
Open Source
No
Deployment Options
Cloud Saas