What is Perplexity Pages?
Perplexity Pages is a publishing feature from Perplexity, the AI answer engine, that turns AI research threads into formatted, shareable articles hosted on perplexity.ai. Perplexity launched Pages in 2024; as of mid-2026 the Create page flow is retired, though published Pages remain live. Marketers noticed because a public Page is an ordinary web page that search engines can index. Perplexity's own help center article on Pages now consists of one product update: “The "Create page" feature is temporarily retired, and "Convert to Page" feature will be returning shortly with enhanced capabilities.”
What does Perplexity Pages do?
Perplexity is an AI answer engine: you ask, it searches, it writes a cited response. Pages extended that loop into publishing. Instead of a research thread that disappears into your history, Pages let a user turn the material into a structured article, with sections, images, and citations, living at a public perplexity.ai URL that anyone could read without an account. Perplexity pitched it at students, researchers, and creators as a way to share knowledge rather than just retrieve it. Mechanically, it was AI-assisted content generation with a built-in host: the model drafted, the user curated, Perplexity served the result on its own domain.
That last detail is what separated Pages from every other AI writing tool. ChatGPT will draft an article for you, but you still need somewhere to put it. Pages skipped the hosting step entirely. The output was live on the web the moment you published, under a domain with real crawl attention, with no site, no CMS, and no technical setup on the user's side.
Why did Perplexity Pages matter for search visibility?
The interesting part for anyone watching AI search was never the writing. It was the hosting. A public Page is a normal URL on a large, heavily crawled domain, which means Google can index and rank it like any other page. In the months after launch, SEO practitioners documented Pages showing up in ordinary Google results, an AI answer engine competing in the classic index with content its own users generated. That cut both ways. It made Pages a curiosity for distribution experiments, and it raised an uncomfortable question about AI-generated pages ranking against human ones. If you are mapping where AI-written content surfaces in search, Pages was one of the clearest large-scale specimens available.
What we know versus the marketing
We separate these deliberately, because most coverage of Pages does not.
- Verifiable now: Perplexity's help center article titled "Perplexity Pages" exists, is dated as updated in March 2026, and its entire body is the product update quoted above. Create page is retired; a Convert to Page replacement is promised but, as of this writing, a promise.
- Verifiable at launch: Pages produced public, indexable articles on perplexity.ai. Existing Pages remain reachable.
- Marketing claims we cannot check: how many Pages were created, how much traffic they earned, and whether the enhanced replacement will keep public hosting at all. Perplexity has not published numbers, so neither will we.
One more honesty note from our own toolbench: perplexity.ai blocks most automated crawlers, including the blog post that announced Pages. We verified the help center text directly and grounded this page in what actually resolves, not in secondhand summaries.
Should you use Perplexity Pages for distribution?
Do not build a distribution plan on Pages today. The creation flow is retired, and a tactic that depends on another company's paused feature is not a tactic. The durable lesson points the other way: Perplexity's answer engine still crawls and cites the open web every day through PerplexityBot, and that is the channel you control. Making your own pages retrievable and quotable is the work that survives Perplexity's product decisions. The specifics are in how to get cited by Perplexity, and the wider discipline in what is generative engine optimization (GEO). If you want to know whether Perplexity's crawler can even read your site, run it through AuditLamp and look at the crawler access findings.
See also
Pages is a footnote next to the main event: whether answer engines can retrieve and cite you. Start with what is PerplexityBot for the crawler side, and what is AI share of voice for measuring how often these engines mention you at all.