Perplexity AI Cheat Sheet: How an ‘Answer Engine’ Is Challenging Gemini, ChatGPT

Perplexity AI Cheat Sheet: How an ‘Answer Engine’ Is Challenging Gemini, ChatGPT

By Aminu Abdullahi
Publication Date: 2026-04-17 17:48:00

Perplexity bills itself as an “AI-powered answer engine,” not a chatbot. The distinction matters: every query triggers a real-time web search, source compilation, and a cited answer, more like a turbocharged research assistant than a conversational AI friend.

Founded in 2022 and valued at roughly $20+ billion, Perplexity has grown well beyond search. It now offers an AI-native browser (Comet), a Mac-based personal AI agent, enterprise tools, finance integrations, health data connectors, and a developer API platform.

Search is the core, sourced, cited, and fast. Everything else (writing, images, coding, agents) layers on top of that search-first foundation.

How does Perplexity work?

When you submit a query, Perplexity searches the web in real time, gathers information from authoritative sources, and uses large language models to synthesize a clear, cited answer. In-text citations let you hover to preview sources and click through to read further.

Model options

Perplexity has its own in-house model — Sonar — but also offers access to third-party models. On Pro and Max plans, you can choose between: Sonar (default), GPT-5, Claude Sonnet/Opus, Gemini 3.1 Pro, and Grok 4.

Perplexity post-trains third-party models, which means responses via Perplexity may differ from those of the models used directly, generally leaning more toward precise answers and less toward open-ended conversation.

Three main modes

  • Search (fast answers): Real-time…