A raw Perplexity chat is great for research and terrible for sharing — it's a back-and-forth transcript, not a document. Pages solves that by taking the substance of a research session and organizing it into sections with headings, images, and citations, closer to a wiki article than a chat log.
The workflow is straightforward: research a topic through normal search and follow-up questions, then convert the session (or start fresh with a topic) into a Page. You can edit the structure afterward — reorder sections, trim citations, adjust the summary — before sharing a link with a teammate or publishing it more broadly.
It's genuinely useful for handing off a topic instead of a wall of chat history: a competitive analysis for a colleague, a study guide compiled from several sources, or a briefing document ahead of a meeting. The reader gets a structured page with sources, not a transcript they have to sift through.
It's not a substitute for a properly fact-checked report, though. The underlying research is still AI-summarized web content, and citations point to where a claim came from, not a guarantee it's the most current or authoritative source available. Treat a Page as a strong first draft, not a finished deliverable.
It's most valuable as a middle step: faster than writing a report from scratch, more organized and shareable than a raw chat, with the sourcing still visible enough that whoever reads it next can verify anything that actually matters before it goes further.