Perplexity Pages
AI-generated shareable articles and knowledge pages
Perplexity Pages is a feature of the Perplexity AI search engine that lets users turn their research and search results into structured, shareable web articles, automatically organizing AI-sourced information with citations into a…
Definition
Perplexity Pages is a feature of the Perplexity AI search engine that lets users turn their research and search results into structured, shareable web articles, automatically organizing AI-sourced information with citations into a formatted page that can be published and shared publicly.
Overview
Perplexity AI built its core product as an answer engine that combines web search with a language model to produce cited, conversational answers to questions. Pages extends that capability from single-turn answers into full, publishable documents: after researching a topic through a series of searches, a user can convert the accumulated findings into a structured article with headings, sections, images, and a table of contents, all still carrying citations back to original sources. The creation process typically starts from an existing Perplexity thread or a fresh topic prompt; the tool organizes information into logical sections, suggests a layout, and lets the author edit text, rearrange sections, add media, and adjust the tone or audience level of the writing. Because the underlying content is still grounded in the search and retrieval process that powers Perplexity's core answers, generated Pages carry inline citations, letting readers trace claims back to source articles, similar in spirit to how a research report or encyclopedia entry might cite references. Pages is aimed at users who want to turn research into a reusable, shareable artifact — explainers, guides, roundups, or knowledge-base articles — without manually formatting a document from scratch. Published Pages get a public URL and can be discovered by other Perplexity users browsing popular or trending Pages, giving the feature a light publishing and content-discovery dimension beyond pure search. As with any AI-assisted writing tool grounded in retrieved sources, the accuracy of a Page still depends on the quality of the underlying sources and requires the author to review and edit for accuracy before publishing, especially for topics where source material is contested or rapidly changing.
Key Features
- Converts AI-assisted research and search threads into structured, formatted articles
- Automatic organization into headings, sections, and a table of contents
- Inline citations linking content back to original source material
- Editable layout, text, tone, and media once a draft is generated
- Publishable to a public URL for sharing outside the Perplexity platform
- Discoverability through browsing trending or popular published Pages
- Built on top of Perplexity's core search-and-cite answer engine