Perplexity review
A research assistant with sources instead of invented answers.
Editorial verdict: The best tool in this test when verifiability matters more than elegant prose.
Perplexity does not answer from the model's memory: it searches the web first and then backs every sentence with footnotes. That approach takes much of the sting out of generative AI's biggest problem, because anything unsupported stands out immediately.
In testing, the deep research mode convinced us most: it works through several dozen sources on a question and builds a structured report from them. For market monitoring, competitive analysis and getting into an unfamiliar topic, that is a substantial time saving.
The limits are just as clear: where there are no good sources, the answer stays thin. And for anything beyond research, editing, rewriting, longer pieces, the classic AI chatbots are the better choice.
Strengths and weaknesses
What speaks for it
- Every statement is backed by a linked source
- Very fast, uncluttered interface
- Deep research produces structured reports with evidence
- Follow-up questions stay traceable within the research thread
What speaks against it
- Less suited to creative writing and long-form text work
- Quality depends directly on the sources found
- The German-language source pool is thinner than the English one
Scores in detail
- Output quality4.3
- Usability4.6
- Feature set3.9
- Value for money4.4
- Data protection3.8
All criteria carry equal weight. How we test is described in our test methodology.
Who is Perplexity worth it for?
Research, market monitoring, journalism, competitive analysis. If that describes your situation, Perplexity is a sound choice. If not, the alternatives are worth a look, the AI assistants & chatbots category holds 5 tools with different priorities, and the full overview compares all 17 tools we have tested.