{"id":195925,"date":"2024-10-17T21:23:13","date_gmt":"2024-10-17T21:23:13","guid":{"rendered":"https:\/\/www.similarweb.com\/blog\/?p=195925"},"modified":"2024-10-20T12:24:49","modified_gmt":"2024-10-20T12:24:49","slug":"ai-podcasts-power-huge-growth-for-googles-notebooklm","status":"publish","type":"post","link":"https:\/\/www.similarweb.com\/blog\/insights\/ai-news\/ai-podcasts-power-huge-growth-for-googles-notebooklm\/","title":{"rendered":"AI Podcasts Power Huge Growth for Google\u2019s NotebookLM"},"content":{"rendered":"

Google\u2019s NotebookLM AI tool organizes notes and source data into chat responses, annotated documents, and podcasts with synthetic narrators<\/h2>\n

Of the many ways Google is seeking to compete with AI innovation, its NotebookLM is the latest to have captured imaginations, particularly since it gained the ability to organize its output into podcasts. With the addition of that feature in early September, traffic increased nearly 300% compared with the previous month.<\/p>\n

NotebookLM users can upload content, import Google Docs or web pages, or write notes to create a body of knowledge, then use chatbot-style interactions to tease insights out of that material or organize it into an essay. All this is powered by Google\u2019s Gemini AI platform. NotebookLM is intended as sort of a souped-up Evernote, but it\u2019s also more than that.<\/p>\n

The podcast feature takes a generated notebook and organizes it into a two-person dialog, with synthetic voices talking through the most interesting aspects of the information. This week, Google dropped the \u201cexperimental\u201d label from NotebookLM<\/a> and gave users the ability to \u201cplay producer<\/a>\u201d on the podcast output, steering what information the fictitious hosts should focus on.<\/p>\n

Key takeaways<\/h2>\n