Perplexity Pages: Research Summaries, Sharing, and Availability

Perplexity Pages is a feature that turns a research session into a formatted, structured document you can share with others. Instead of handing someone a list of links or a transcript, you publish a Page: a clean, readable summary with sections, key findings and the sources behind them. Anyone with the link can read it without a Perplexity account.

Pages organize what you found; they do not track the follow-up work that research generates. Tools like fenbs keep the source links, decisions and next steps outside any research tool so connected AI apps can continue the work from where the research left off.

What a Perplexity Page is

A Page is a document created inside Perplexity that you lay out using sections and headings. You give each section a prompt, and Perplexity fills it in with sourced research. The result looks like a structured article or briefing note, not a chat transcript. You can add sections, rearrange them and edit the generated text.

The audience setting matters: a Page can be private (only visible to you), visible to people you share the link with, or publicly discoverable. Check Perplexity's help pages↗ (opens in a new tab) for the current sharing options and whether discovery settings have changed since the product updated.

How Pages differ from a regular Perplexity search

A regular Perplexity search gives you a sourced answer to one question in a conversational format. A Page is a multi-section document you design: you set the structure, choose the topics for each section and decide what the reader will see. A search is for finding answers; a Page is for presenting findings.

Pages are also persistent. A search result stays in your history until you delete it, but it is not designed to be shared or presented. A Page has a shareable URL and a layout intended for a reader who was not part of the search process.

Plan access and availability

Perplexity Pages availability depends on your subscription level. Check Perplexity's current pricing page↗ (opens in a new tab) for the plans that include Pages. Availability has changed as Perplexity has updated its plans, so the current plan page is more reliable than third-party comparisons that may be out of date.

If you do not see a Pages option in your Perplexity interface, your plan most likely does not include it. Perplexity's help center can confirm whether Pages is available at your subscription level.

Publishing and sharing a Page

Once you finish a Page, you set its visibility and publish it. Publishing generates a shareable URL. Anyone with that link can read the Page on the web — they do not need a Perplexity account. You can update a Page after publishing, and the changes appear at the same URL.

Consider what the Page includes before sharing it publicly. Each section shows the sources Perplexity used. Verify that those sources are accurate and that any conclusions the Page draws are ones you are comfortable with being attributed to your research. Perplexity's AI can be wrong; a published Page puts your name on those claims.

What Pages do not replace

A Page summarizes what Perplexity found in its training data and current web sources. It does not process documents you upload, private data or proprietary research. For source-grounded research on documents you provide, a tool like Gemini Notebook is designed for that job.

Pages also do not track the decisions or tasks that follow from research. If a Page on competitor pricing leads to a decision about your own pricing, that decision needs a separate home. Keeping the research in Perplexity and the decision in fenbs gives each a place that suits it.

For a broader comparison of AI research tools and workflows, see how to use AI at work. For connecting Perplexity to a work context, perplexity mcp covers how that works.

Using Pages alongside a project record

Research that informs a project works best when the findings are connected to the decisions they support. A Page on a competitor's product should be linked to the project decision it influenced. A Page summarizing regulations should be linked to the rules they produced.

fenbs keeps those links as Links and listings on the project. When a new assistant joins a session, it can read the project context and find the relevant Pages rather than starting the research from scratch. That connection between the research and the work is what gives the research lasting value.

How to do this with fenbs

1. Create a free account and add a project for the work your research supports.
2. After creating a Perplexity Page, add its URL as a Links and listings entry on the project: the URL, a short description of what it covers and the date.
3. Add a context note summarizing the key findings and which decisions they informed.
4. Connect your preferred AI app from /integrations. At the start of a session, ask it to read the project context including the source links.
5. When the research leads to a decision, record the decision in fenbs as a Decisions and rules entry so it stays with the project rather than in the Page.

fenbs does not connect to Perplexity directly or read Page contents automatically. You add the links and notes you want to preserve. Keep the research in Perplexity; keep the decisions and next steps in fenbs.