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Glossary

Perplexity: a plain-English definition

An AI search tool that shows its sources. The full explainer covers what it is good for and where it falls short.

Updated

Definition

Perplexity is an AI-powered answer engine that searches the web and writes a response with citations to the sources it used.

Full explainer: What is Perplexity good for? covers this in more depth, with examples and limits.

What it means at work

In its API docs, Perplexity describes its Agent API as giving web-grounded answers with built-in citations in one call. For work, the appeal is speed on research questions: market checks, competitor summaries, and background on a company or topic, with links you can open.

What the documentation says

Perplexity separates finding sources from writing an answer, which is useful to know when you judge a result:

An example

You ask for the latest public information on three competitors’ pricing pages and product launches. Perplexity returns a summary with links. You open each one, confirm the details and paste verified points into your brief.

A common misconception

Citations are not a guarantee. An answer engine can summarize a source inaccurately or rely on a weak page; Liu et al. audited four generative search engines and found only 74.5% of citations support their associated sentence. The same audit found that on average a mere 51.5% of generated sentences were fully supported by citations. The audit dates from 2023, so current tools may score differently. The habit that matters is opening the links for anything important. Also check what your company allows before pasting internal material into any external tool.

Sources

Frequently asked

Is Perplexity a search engine or a chatbot?

It is both: it works like a chatbot but searches the web for each answer and cites the sources.

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