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The AI-powered answer engine
Perplexity is an AI search engine that delivers cited, real-time answers by combining LLMs with live web search.
Intelligence Coverage
Perplexity AI is an AI-powered search engine that provides direct answers with cited sources by combining large language models with real-time web search. Founded in 2022, it has become a leading alternative to traditional search for research and information tasks. Unlike chatbots, Perplexity focuses on accuracy through citations, offering a "Pro Search" mode for deeper research, file uploads for document analysis, and a Spaces feature for collaborative research projects.
Real-time web search with citations
Pro Search for deep research
File & document analysis
Image search & generation
Spaces for collaborative research
Multiple AI model selection
Follow-up questions
API access
Perplexity AI Statistics 2026: Users, Growth & Search Volumes
Perplexity AI has become a leading AI-powered search engine. Here are the key statistics on monthly users, query volumes, revenue, and market position in 2026.
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AI Search Engine Statistics 2026: ChatGPT vs Perplexity vs Google
Explore AI search engine statistics for 2026: Perplexity growth, ChatGPT search share, Google AI Overviews impact, and how AI is disrupting the $300B search market.
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How to Use Perplexity AI: Complete Guide to AI-Powered Research (2026)
Learn how to use Perplexity AI for research, fact-checking, and answering complex questions with real-time web sources. Tips, tricks, and Pro features explained.
Read moreHow to Use Perplexity AI for Research in 2026
A practical 2026 guide to Perplexity AI: learn how to run cited, source-backed research step by step, with setup, workflow, and pro tips.
Read morePerplexity vs Alternatives — Feature Overview
| Capability | Perplexity | Competitors |
|---|---|---|
| Real-time web search with citations | ||
| Pro Search for deep research | ||
| File & document analysis | ||
| Image search & generation | ||
| Spaces for collaborative research | ||
| Multiple AI model selection |
Perplexity Pro vs ChatGPT Plus (2026): Best AI Search
Perplexity Pro and ChatGPT Plus compared in 2026 on AI search, citations, model access, features and pricing to choose the best AI research subscription.
Read comparisonPerplexity vs ChatGPT for Research in 2026
Perplexity vs ChatGPT for research in 2026: we compare citations, accuracy, depth, and price to help you pick the right AI for serious research work.
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Perplexity founded
by Perplexity AI
Real-time web search with citations
Pro Search for deep research
File & document analysis
Image search & generation
Perplexity today
Active platform with 4+ years of development
RAG (Retrieval-Augmented Generation)
A technique that combines a language model with real-time document retrieval to produce grounded, up-to-date answers.
MCP (Model Context Protocol)
An open standard by Anthropic that lets AI assistants connect to external tools, data sources, and services through a unified protocol.
Agentic AI
AI systems that can autonomously plan, take multi-step actions, use tools, and achieve goals without step-by-step human instruction.
Vector Database
A database purpose-built to store and query high-dimensional vector embeddings, enabling semantic similarity search at scale.
Fine-Tuning
Training a pre-trained language model on a smaller, task-specific dataset to improve its performance on a particular domain or task.
Embeddings
Dense numerical vector representations of text, images, or other data that capture semantic meaning in a form machines can compare.
Prompt Engineering
The discipline of designing and refining input prompts to elicit more accurate, reliable, and useful responses from AI language models.
LLM (Large Language Model)
A deep learning model trained on vast quantities of text that can generate, summarise, translate, and reason about language at human level or above.
AI Intelligence Review
DeepAITool Editorial TeamLast Updated
Jun 2, 2026
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