Perplexity AI is more than “just another chatbot.” It’s a real-time, citation-based answer engine with a growing set of tools for research, writing, coding, and everyday questions. Below is a structured overview of the main Perplexity AI features and how they actually help you in practice.
Perplexity uses large language models (LLMs) and natural-language processing to understand your question, keep track of context, and reply in a chat style. You can ask follow-up questions in the same thread and it will remember what you’re talking about, instead of treating each query as a separate search.
Unlike many static chatbots, Perplexity searches the web live for each query:
Pulls information from multiple up-to-date sources
Synthesizes them into a concise answer
Prioritizes more recent pages to avoid outdated info
This makes it especially useful for news, tech updates, price checks, and anything that changes fast.
One of Perplexity’s standout features is built-in citations:
Every answer includes inline citations and a source list
Sources usually link to reputable articles, docs, or datasets
You can quickly click through to verify or explore further
For students, researchers, and professionals, this “show your work” approach is a huge advantage over opaque AI answers.
Focus lets you tell Perplexity where to look, not just what to answer. You can narrow searches to:
Academic – prioritizes scholarly papers and journals
Writing – leans on the model for drafting, with reduced web access
Reddit, YouTube, Wolfram Alpha, etc., for social opinions, videos, or math
Choosing the right Focus mode gives you more relevant, less noisy results.
For complex questions, Pro Search / Deep Research (on paid plans) digs much deeper:
Runs many queries instead of just one
Reads and compares a larger set of sources
Produces longer, structured answers with follow-up suggestions
This is ideal for market research, technical topics, or any question where you’d normally open 20+ tabs.
Perplexity isn’t limited to plain text prompts.
You can upload:
PDFs and documents – for summarizing, extracting key points, or comparing sections
Images – for describing content, reading text, or answering questions about visuals
These multimodal capabilities turn Perplexity into a quick document analysis and data-extraction assistant.
Paste any URL and ask:
“Summarize this page in 10 bullets.”
“Compare the claims in this article with other sources.”
Perplexity will fetch the page, pull in extra web context, and give a cite-backed summary or critique.
Perplexity lets you save and organize your work:
Threads: each conversation can be revisited later in your history.
Libraries / Collections / Spaces: group related threads, notes, and research into shareable sets.
This makes it easy to build a knowledge base for a project, course, or client, and share it with teammates or classmates.
You can configure custom instructions (similar to “system prompts”) to control tone and behavior:
Reading level (e.g., 9th grade)
Preferred format (bullets, tables, short answers)
Emphasis on certain source types (e.g., peer-reviewed only)
Once saved, these preferences apply automatically across future searches.
The main experience is at perplexity.ai, with:
Clean, minimal interface
Input bar plus Focus selector
Answer panel with citations and related questions
Perplexity offers native apps for iOS and Android:
Optimized for mobile reading and quick queries
Support for voice input in many regions
Sync with your account so threads and Spaces carry across devices
Perplexity also ships Comet, a Chromium-based browser with an AI assistant sidebar:
Summarizes articles, documents, and videos in real time
Can compare info across tabs
Helps with actions like form-filling or planning while you browse
This effectively builds Perplexity’s research engine into your everyday browsing.
Perplexity follows a freemium model: core search is free, while Pro and enterprise plans unlock more power and integrations.
Perplexity Pro adds:
Higher search and Pro Search/Deep Research limits
Access to more powerful and diverse models (e.g., GPT-class, Claude, Gemini, Grok, and Perplexity’s own Sonar/R1 variants)
Image generation and more advanced Labs features (in many regions)
Priority performance for heavy research use
For teams and companies, Enterprise Pro / Max and the Search API add:
Search across internal files + web in a single query
Controls over data retention and privacy
Ability to embed the Perplexity answer engine into other products
This lets organizations turn Perplexity into an internal research assistant across docs, wikis, and the public internet.
Because of this combination of features, Perplexity works especially well for:
Students & academics – literature reviews, paper summaries, and citation-ready research via Academic Focus and Deep Research.
Professionals & analysts – market overviews, competitive analysis, and internal+web search via Pro and enterprise tools.
Developers & data people – code explanations, API examples, and math via Writing and Wolfram/Math Focus.
Creators & marketers – outlines, scripts, blog drafts, and audience research using Writing Focus, social sources, and Collections.
Even with all these features, Perplexity isn’t perfect:
It still depends on web quality and model behavior, so it can misinterpret or over-trust poor sources.
Some advanced features (Deep Research, Comet, model choice) sit behind paid tiers.
For high-stakes topics (medical, legal, financial), you should always treat results as informational only and confirm with human experts.
Perplexity AI Features can be summed up in three pillars:
Real-time, cited answers instead of bare links.
Smart search controls (Focus, Pro Search, Deep Research) to match your intent.
Workflow tools (multimodal input, Collections/Spaces, apps, and Comet) that turn it from a chatbot into a full research assistant.
If you learn to combine Focus modes, citations, and Deep Research with your own critical thinking, Perplexity becomes a powerful daily tool for learning, work, and content creation.