What Is Perplexity AI?
Perplexity AI is an AI-powered search and research tool. Ask it a question and it searches the web, synthesizes the results, and gives you a direct answer with numbered source citations. It's what Google Search should feel like.
We used Perplexity as our primary research tool for 3 months, across hundreds of queries. Here's what we found.
The Citations Make It Trustworthy
The biggest problem with ChatGPT for research is hallucinations — confident-sounding answers that are factually wrong. Perplexity largely solves this by grounding every answer in web sources it cites inline. When it's wrong, you can tell, because you can check the source.
In our testing, Perplexity hallucinated measurably less than ChatGPT on factual queries. It's not perfect — it occasionally pulls from low-quality sources or misrepresents a source — but the transparency of citation makes errors catchable.
Real-Time Web vs. Training Cutoffs
This is Perplexity's structural advantage over most AI tools. ChatGPT (without browsing) is stuck at its training cutoff. Perplexity pulls live results, which matters enormously for anything current: pricing, news, tool comparisons, recent research.
For our use case — researching AI tools — Perplexity was invaluable. Tool pricing changes constantly; Perplexity usually had current data while ChatGPT referenced outdated pricing.
Free vs Pro: Is the Upgrade Worth It?
The free tier is genuinely good. It uses Perplexity's own Sonar model, which is capable for most research tasks. The 5 Pro searches per day limit on free can be frustrating for heavy users.
Pro at $20/month removes limits and adds access to GPT-4o, Claude Sonnet, and Sonar Large. For researchers and knowledge workers who use this daily, $20/month is an easy yes.