This Everyday AI podcast episode compares three AI deep research tools: Perplexity, Google Deep Research, and OpenAI Deep Research. The host, Jordan Wilson, reviews each tool's features (pricing, models used, source handling, hallucination rates), conducting live demos and analyzing the results of a sample query. He concludes that OpenAI Deep Research offers the highest accuracy despite being the slowest and most expensive, while Perplexity, though fast and offering a free tier, suffers from significant hallucination issues. Listeners are encouraged to test the tools themselves to determine the best fit for their needs, emphasizing the potential time savings for knowledge workers.
