Genspark vs Perplexity: which is better for research?

Both handle research, but their center of gravity differs. Perplexity is an AI answer engine: you ask a question, it searches, and it returns a concise, cited answer with sources you can click. It is superb for fast fact-finding and for research where you want to read and verify the sources yourself.

Genspark is an agent whose research is a means to an end. It browses autonomously across many sources and can then transform the findings into a finished artifact in the same session: a slide deck, a spreadsheet, a structured document. So the question is less 'which researches better' and more 'do you want an answer to read, or a deliverable to use.'

For a quick 'what is the current state of X' with sources, Perplexity is the leaner, faster tool. For 'research the competitive landscape and build me a comparison deck', Genspark's ability to carry research straight into creation is the advantage, because you skip the manual step of turning findings into an artifact.

Many people keep both: Perplexity as a fast, citation-first research companion, and Genspark for research that needs to become something. On cost, Genspark's paid plans also fold in unlimited chat and image generation, so it covers more of a general workspace than a focused answer engine does.