When you ask a question in Perplexity, the AI generates an answer based on real-time web searches. The answer includes citations that link directly to the source web pages. Without viewing these sources, you cannot verify the accuracy or recency of the information. This article explains how to open, navigate, and manage the sources cited … Read more
When you use Perplexity for research, the numbered citations next to each answer should be clickable links to the original sources. If the citation numbers are not linking, you cannot verify the information or open the referenced pages directly. This problem usually happens due to browser extensions blocking the interactive elements, a corrupted browser cache, … Read more
When you run a search in Perplexity, the tool automatically selects a set of online sources to build its answer. Sometimes those sources are not what you expected — they may be outdated, from the wrong domain, or too general for your question. You can re-run the same query while changing the source pool without … Read more
You ask Perplexity a question about a recent event, a breaking news story, or the latest product release. Instead of current information, you get answers from sources that are weeks or months old. This happens because Perplexity’s default search mode does not always prioritize the newest content. This article explains why Perplexity returns outdated results … Read more
Perplexity search returns results from across the entire web, including pages published years ago. When you need the most current information — such as breaking news, recent product updates, or today’s stock prices — the default search behavior can bury fresh content under older, less relevant pages. This article explains how to apply a date … Read more
Perplexity is a powerful tool for summarizing web content, but it cannot bypass paywalls on news websites, academic journals, or subscription-based publications. When you ask Perplexity to summarize a paywalled article, it returns an error message or incomplete information because the source text is blocked. This article explains why Perplexity cannot access paywalled content and … Read more
When you start a search on Perplexity, the platform groups your queries into a thread. Each thread keeps the context of your earlier questions, so you can ask follow-up questions without repeating the original topic. This feature saves time and produces more relevant answers because Perplexity remembers what you just discussed. In this article, you … Read more
When you ask Perplexity a question, the answer should link to reliable sources. Sometimes the cited source does not match the claimed information. This happens when the AI misattributes data or pulls from an incorrect part of a webpage. This article explains why source mismatches occur and provides a step-by-step diagnostic process to identify and … Read more
When you research with Perplexity, the answer includes numbered citations linked to the original sources. You often need to keep those source links for your report, article, or project. Manually copying each URL one by one is slow and error-prone. This article explains three practical methods to copy sources from a Perplexity answer into a … Read more
When you ask Perplexity a question, you expect a precise answer, not a broad overview. A generic result often occurs because the query is too vague or lacks context for the AI to narrow its focus. This article explains the main reasons Perplexity returns generic answers and provides specific techniques to refine your queries for … Read more