Perplexity AI is best known as a “free AI-powered answer engine” that gives accurate, real-time answers with citations. But the way most people experience it is as a chatbot: you type or speak a question, and Perplexity replies in a natural conversation, pulling in fresh web results every time.
Unlike a typical LLM chatbot that only relies on its training data, the Perplexity chatbot searches the internet live, reads multiple sources, and then explains what it finds in plain language.
At its core, the Perplexity AI chatbot is:
A conversational interface to Perplexity’s answer engine
Available on web, iOS, Android, the Comet browser, and messaging apps
Designed to provide short, sourced answers instead of long lists of links
You interact with it just like any chat app:
Ask a question in natural language.
Perplexity runs live web searches.
It replies with a concise answer plus citations and links underneath.
From there, you can keep chatting with follow-up questions in the same thread.
Perplexity’s chatbot is available across multiple platforms:
At perplexity.ai, you get a clean chat box where you can start asking anything.
Threads are saved to your account so you can come back later.
The official apps are branded “Perplexity – AI Search & Chat” on the App Store and “Perplexity – Ask Anything” on Google Play.
Key mobile chatbot features:
Full chat experience that syncs with the web
Pro Search & Deep Research modes in chat
Thread follow-ups for ongoing conversation
Push notifications for important threads
Perplexity offers voice conversation so you can talk to the chatbot hands-free:
On iOS, you can map the Action Button to “Ask Perplexity”, “Start a new chat”, or “Start voice conversation”.
On Android, the Perplexity Assistant lets you ask questions and trigger tasks using voice commands, from quick queries to more complex workflows.
The Comet browser builds the chatbot directly into the browser sidebar:
You can chat about any page you’re viewing, ask for summaries, or get explanations without leaving the site.
Through “Ask Perplexity”, you can chat with Perplexity directly inside apps like WhatsApp and Telegram, using it to ask questions, generate images, and access real-time search without leaving your chats.
Perplexity is built to feel like chatting with an expert:
It remembers context inside a thread.
You can refine answers with follow-up questions: “explain more simply”, “compare this to X”, “turn this into a table”, etc.
The help center explicitly lists Conversational Dialogue as one of its core features.
Every answer is grounded in live web search:
Perplexity queries the web in real time, then summarizes what it reads.
It displays inline citations beneath the response so you can verify information and open the original sources.
This makes the chatbot far better for up-to-date questions than static models that can’t see new content.
For Pro subscribers, Perplexity includes a model selector:
You can choose between different AI models when submitting queries, giving more control over tone, reasoning depth, or speed.
This effectively turns the chatbot into a multi-model hub.
Inside any chat, you can switch to:
Pro Search – deeper, multi-step search for more thorough answers.
Deep Research – runs many searches and reads lots of sources before returning a long, structured report, ideal for serious research questions.
From the user’s perspective, these feel like “supercharged” chat modes.
Perplexity’s chatbot supports multiple input/output types:
Text – the standard chat experience.
Voice – ask questions and get spoken or streamed text responses with low latency.
Images – recent feature rundowns list image support and generation as core capabilities.
This makes it useful as both a research assistant and a creative tool.
Newer updates add an AI personal shopper inside the chatbot:
You can describe what you’re looking for (“winter jacket under $150”) and Perplexity shows product cards with specs and reviews.
Purchases can be completed via integrated PayPal Instant Buy.
That turns the chatbot into a conversational shopping assistant, not just an information tool.
While you experience Perplexity as a simple chat window, under the hood it:
Interprets your message with a large language model (LLM).
Runs web searches against a large, continuously updated index.
Reads and ranks sources such as news, documentation, blogs, and academic sites.
Generates a response that synthesizes those sources in conversational language.
Attaches citations so you can check the sources yourself.
This combination of live search + LLM summarization is what makes Perplexity different from typical chatbots that only rely on training data.
Ask Perplexity anything you’d normally Google:
Definitions and explanations
“Explain this like I’m 15” breakdowns
Quick comparisons (tools, services, concepts)
Because answers come with citations, it’s great for students and self-learners.
Get first-pass research for reports, essays, blog posts, and presentations.
Use Deep Research to generate structured reports with sections and references.
You still need to double-check sources, but the chatbot massively speeds up the information-gathering phase.
Perplexity can:
Explain code and error messages
Pull in current documentation and examples from the web
Compare libraries or frameworks with pros/cons
This is especially useful when official docs are scattered across multiple sites.
Using the apps, Comet, or voice assistants, you can:
Summarize long articles or PDFs
Turn notes into emails, outlines, or checklists
Ask follow-up questions to refine what you need
The new shopping features allow conversational product discovery:
“Find a 14-inch laptop under $900 for video editing.”
“Compare these two TVs and tell me which is better for gaming.”
Results show product cards with specs and reviews, and you can check out via PayPal where supported.
Perplexity uses a freemium model:
A free tier of the chatbot with limited Pro/Deep Research queries.
Paid subscriptions like Perplexity Pro and Max that:
Increase daily usage limits,
Unlock more powerful models & Deep Research,
Add internal knowledge search and advanced tools.
For most casual users, the free chatbot is enough. Heavy students, professionals, and teams benefit from the higher limits and extra features.
To get better answers, treat your messages as prompts plus instructions, not just short questions:
Add context: who you are (student, developer, small business)
Set a goal: “explain”, “compare”, “summarize”, “outline”, “make a checklist”
Specify format: table, bullets, step-by-step, under 300 words
Ask for citations & dates: “include sources and focus on information from 2023–2025”
Example prompt:
“Act as a research assistant. Explain Perplexity AI Pro vs Free in 2026, include current pricing ranges, key feature differences, and a short recommendation in under 400 words, with sources.”
Even though Perplexity is powerful, it’s not perfect:
It can still misinterpret sources or hallucinate, so you should verify important information via the cited links.
The company has faced copyright and scraping controversies with some publishers and infrastructure providers, so businesses should keep an eye on the evolving legal context.
For sensitive domains (legal, medical, financial), treat the chatbot as a research assistant, not a final authority.
Use the Perplexity AI chatbot when you want:
A conversation instead of a list of links
Real-time, sourced answers that you can trust and verify
Deep research, summaries, or explanations without juggling 20 tabs
A single assistant that works across web, phone, browser, and messaging apps
If you’re tired of bouncing between traditional search and separate chatbots, Perplexity’s chat interface gives you the best of both worlds: the power of live search with the simplicity of one ongoing conversation.