How does Perplexity AI find and cite its sources?

Perplexity AI finds and cites sources by combining a search process with language generation. When a user asks a question, it first looks for relevant information from the web or other connected sources, then uses those results to construct an answer. The citations are meant to show where the information came from, so the user can check the original material and judge its reliability. In practice, Perplexity AI tries to identify the most relevant pages, extracts useful passages, and then summarizes them into a response. The cited links usually point to the pages that supported specific parts of the answer. This means the citations are not just decorative references, they are part of the evidence trail behind the response. The exact source selection can vary depending on the question, the search terms, the freshness of the topic, and whether the system finds high quality public sources. For current events or fast changing topics, it tends to prioritize recent pages. For evergreen topics, it may rely on established references, articles, or official documentation. If a source page is unclear, incomplete, or behind a paywall, that can affect how well it is used. It is still wise to read the cited sources directly, because an AI summary can simplify or miss context. If you want to understand how a particular answer was assembled, the citations on the current page are the best place to start.