What is Perplexity AI and how does it differ from ChatGPT?
Perplexity AI is an answer engine that combines the power of language models with real-time web search. The fundamental difference from ChatGPT is this: Perplexity always cites its sources.
When you ask ChatGPT "What was Spain's GDP in 2023?", it might give you a correct answer or it might invent a plausible number. You can't tell which without verifying it separately.
When you ask Perplexity the same question, it gives you the number and next to it a numbered reference [1] linking to the INE, World Bank or the corresponding official source. You can click and verify in seconds.
For research, fact-checking and academic work, this difference is fundamental.
Key features you need to know
Pro Search
Perplexity's standard search responds directly. Pro Search activates a deeper reasoning mode: Perplexity performs multiple internal searches, cross-references information from various sources and synthesizes a more complete response.
Use it for complex questions requiring synthesis from multiple sources: "What are the arguments for and against universal basic income according to recent economic literature?"
The free plan gives 5 Pro searches per day. The Pro plan gives unlimited.
Focus (specialized search)
Focus filters where Perplexity searches. Available options:
- All (default): searches across the entire web
- Academic: searches only in academic papers and articles (PubMed, arXiv, Semantic Scholar)
- YouTube: searches in YouTube video transcripts
- Reddit: searches in Reddit threads and comments
- Wolfram Alpha: for mathematical calculations and scientific data
- News: only in recent news
For university papers, Academic is the most valuable. Perplexity will search peer-reviewed papers and cite the correct academic references.
Spaces (organized projects)
Spaces is an organizational feature for research projects. You create a Space (for example: "Dissertation on circular economy"), add sources you want Perplexity to use as a base, and all searches within that Space maintain the project's context and sources.
Useful for: dissertations, long research projects, professional projects with multiple angles of analysis.
File upload (Pro plan)
With the Pro plan you can upload PDFs, texts, spreadsheets or images and ask Perplexity about their contents. Ideal for analyzing long academic papers without having to read them in full.
Step-by-step tutorial: researching for a university paper
Let's say you need to write an essay on "The impact of artificial intelligence on the labor market."
Step 1: Initial search to map the topic
Use Pro Search with Focus on Academic:
"What is the current state of academic research on AI's impact on employment? Include the main conclusions and most cited authors."
Perplexity will give you a map of the topic with references. Save the most relevant authors and papers.
Step 2: Dive deeper into key arguments
Make specific searches for each angle of the debate:
"According to academic literature, which labor sectors are most vulnerable to AI automation? Cite specific studies with their methodologies."
"Which economists argue that AI will create more jobs than it destroys? What do they base their predictions on?"
Step 3: Fact-check data you're going to use
Before including any statistic in your paper, verify with Perplexity:
"The 2023 McKinsey study claims that 30% of jobs in developed countries are automatable. Is this figure correct? What is the original source?"
Step 4: Synthesis and bibliography generation
"Generate a list of bibliographic references in APA format for the 5 most relevant academic papers on AI and employment published between 2022 and 2025."
Always review references before including them in your work — although Perplexity is very accurate, a typo in an author name or year is possible.
Use cases beyond academic work
News fact-checking
When you see a news article with questionable claims:
"Is it true that Spain has the highest youth unemployment rate in the EU? What is the updated figure and the official source?"
Market research for business
"What is the size of the AI tools market for businesses in Europe in 2025? Include data sources."
Preparing for interviews or presentations
"I need updated, verifiable data on the electric vehicle market in Spain for an investor presentation. Give me statistics with sources."
Academic paper synthesis
With the Pro plan, upload the PDF and ask:
"Summarize the main findings of this paper, explain the methodology and point out the limitations the authors themselves acknowledge."
Free plan vs Pro plan: which do you need?
| Feature | Free Plan | Pro Plan ($20/mo) |
|---|---|---|
| Standard searches | Unlimited | Unlimited |
| Pro Search (deep reasoning) | 5/day | Unlimited |
| Models available | Sonar | Sonar + Claude + GPT-4o |
| File uploads | No | Yes (PDF, CSV, images) |
| Spaces | Limited | Unlimited |
| Focus modes | All | All |
Recommendation: for occasional academic use, the free plan is enough. If you research frequently or need to analyze your own documents, Pro at $20/month is justified.
Direct comparison: Perplexity vs ChatGPT vs Google for research
| Criteria | Perplexity | ChatGPT Plus | |
|---|---|---|---|
| Sources cited | Yes, always | Only with active web search | Links, no synthesis |
| Hallucination risk | Low | Moderate | N/A |
| Information synthesis | Excellent | Excellent | Requires reading each link |
| Academic papers | Academic Focus | Limited | Separate Google Scholar |
| Real-time information | Yes | With active search | Yes |
| Analyzing own documents | Pro plan | Plus plan | No |
The winning combination for academic research: Perplexity for search and sources + Claude for deep analysis of the texts you find.