Perplexity

Video Review

About

Perplexity is an AI-powered answer engine that fundamentally rethinks how people search for information online. Rather than returning a list of blue links, Perplexity synthesizes information from across the web and delivers concise, well-structured answers backed by inline citations that link directly to original sources. With over 45 million monthly active users and handling more than 435 million search queries per month, it has rapidly emerged as one of the most credible alternatives to traditional search engines. The platform offers multiple search modes tailored to different levels of complexity. Quick Search delivers fast, straightforward answers for simple queries, while Pro Search conducts multi-step research by autonomously searching, reading, and evaluating dozens of sources before synthesizing findings into a comprehensive response. Deep Research goes even further, reviewing hundreds of sources across multiple retrieval steps and producing detailed analytical reports suitable for academic, financial, or strategic research. Perplexity provides access to multiple frontier AI models including Claude Opus 4.6, GPT-4, and Gemini, allowing users to switch between models depending on the task. Max subscribers can even select which model powers their Comet browser agent, with Claude Opus 4.6 serving as the default for its strong reasoning capabilities. Comet is Perplexity's standalone AI-native web browser built on Chromium, available on Windows, macOS, Android, and as of March 2026, iOS. It embeds Perplexity's search intelligence directly into the browsing experience, enabling on-page summaries, contextual Q&A, and agentic task execution without leaving the browser. Perplexity Finance is a specialized vertical that delivers real-time stock analysis, including a heatmap of price movements among top stocks, analyst ratings with consensus views and 52-week price targets, and direct links to SEC filings pre-scrolled to relevant line items. These finance features are available to all users on both web and mobile. The platform also offers a developer-facing Sonar API that allows businesses to embed Perplexity's grounded search capabilities into their own products. The API includes Sonar, Sonar Pro, and Sonar Deep Research tiers with configurable search modes for balancing cost and depth. Perplexity recently stopped charging for citation tokens in API responses across most models, lowering costs for developers building citation-rich applications. For teams and enterprises, Perplexity provides organization-level features including identity-provider login, shared Spaces for collaborative research, admin controls, and data governance policies. The platform closed 2025 with $100 million in annual recurring revenue and an $18 billion valuation, signaling strong market traction across both consumer and enterprise segments.

Key Features

• Real-time web search with inline source citations on every answer
• Pro Search for multi-step research across dozens of sources
• Deep Research for comprehensive reports spanning hundreds of sources
• Multi-model access including Claude Opus 4.6, GPT-4, and Gemini
• Comet AI-native browser for Windows, macOS, Android, and iOS
• Perplexity Finance with stock heatmaps, analyst ratings, and SEC filings
• Sonar API for embedding grounded search into third-party applications
• Document and image upload for contextual analysis
• Shared Spaces for team collaboration and research
• Enterprise SSO, admin controls, and data governance
• Configurable search modes (High, Medium, Low) for cost-depth tradeoffs
• Focus modes for targeting specific source types (Academic, YouTube, Reddit)

Use Cases

• 1Conducting in-depth market research with verifiable source citations
• 2Answering complex technical questions with up-to-the-minute web data
• 3Monitoring stock performance and financial news with Perplexity Finance
• 4Building citation-rich search features into apps via the Sonar API
• 5Replacing traditional search engines for daily information lookups
• 6Academic literature review using Deep Research multi-source synthesis
• 7Team knowledge sharing through collaborative Spaces
• 8Competitive analysis with real-time data from multiple web sources