The AI search startup Perplexity has introduced Pages, a new tool that uses AI to create user-initiated summaries of web pages. With this, users can quickly produce visually appealing reports, guides, and articles.
By entering the topic of the report and their desired information in the prompt box, users, both free and paid, can take advantage of the opportunity to build a page under the library area. Users are able to select whether the report is intended for an expert, general, or novice audience.
The platform locates the data, divides it into pieces for writing the page, and then includes images. After that, users can alter the text, reformat it, or even remove them.
They may also have text instructions and sections containing relevant media, such pictures and videos.
“Perplexity’s mission is to cater to the world’s curiosity,” CEO Aravind Srinivas said during the feature’s X launch. When it comes to citations, Wikipedia is our inspiration. With Pages’ release, we hope to build upon it further—it’s best described as a “Wikipedia for AI.” It is now possible to examine sources and generate a readable website with just a “one-click convert.”
Since these websites can all be found with a Google search and are publishable, the function seems more suited for academic projects than for in-depth research.
Users can forward this page’s link to other users in case they have any more queries. You may also click to turn a conversation thread into a page.
According to the corporation, pages will first be made available to a select group of users before eventually becoming accessible to everyone. Although users can only create pages on the web, Perplexity mobile apps also allow users to view their creations.
While Apple is rumored to offer a smart recap function for web pages and articles, the Arc search browser already features a version of this feature.
According to a report by The Information, Perplexity AI is also in negotiations to secure a $250 million investment from Bessemer Venture Partners, putting their valuation at $3 billion.
