Perplexity Spaces: What They Are and How to Use Them

Perplexity's answer box is only half the product. The other half is Spaces — the feature that turns one-off searches into an organized, reusable research hub. Here's what Spaces actually do, how they stack up against similar features from other AI tools, and why they matter if you care about getting found by AI search.

In this piece:

• What are Perplexity Spaces?
• What Spaces are good for
• How to use Perplexity Spaces
• Spaces vs ChatGPT Projects vs Claude Projects vs Gemini Gems
• Why Spaces fit Perplexity's citation-first approach
• The marketing takeaway

What are Perplexity Spaces?

Perplexity Spaces are organized hubs inside Perplexity for collecting everything related to one topic — searches, uploaded files, and custom instructions — in a single, shareable place. Instead of a good research thread getting buried in your search history, you keep it in a Space you can return to, build on, and hand off to someone else.

Think of a Space as a folder that thinks. A normal Perplexity search is a one-off question and answer, gone as soon as you move on. A Space is a standing container: you name it after a project or topic, feed it the material that matters, and every search inside it draws on that context instead of starting from zero.

That distinction is bigger than it sounds. Real research is rarely one question. It's a dozen searches spread over weeks, a handful of PDFs, and a running set of preferences about how you want answers framed. Spaces exist to hold all of that in one place instead of scattering it across your history.

That also makes Spaces inherently social in a way plain search isn't. You can share a Space with teammates so everyone is searching against the same files, the same instructions, and the same running history — instead of five people running five separate searches and comparing notes after the fact.

What Spaces are good for

Spaces earn their keep on research that unfolds over time, not a single quick lookup. If you're going to revisit a topic more than once, a Space keeps the context so you're not re-explaining yourself every session.

Good fits include:

• Ongoing research — a market you're tracking, a topic you're studying, a competitive set you're watching over weeks or months.
• Team knowledge — a shared Space where a group searches against the same files and follows the same instructions, so answers stay consistent across people.
• A project with its own rules — work that needs a specific tone, format, or source constraint (only pull from peer-reviewed material, only answer in a certain style) applied to every search inside it.
• A big personal decision — comparing options for a major purchase or planning something complex, where you'll circle back to the same research over several sittings.

The common thread: if you'll come back to it, it belongs in a Space. If you won't, a regular search is faster.

How to use Perplexity Spaces

Using a Space follows a simple pattern: create it, feed it, then search inside it. You start by creating a Space and giving it a name and topic, which is what scopes everything you add afterward.

From there:

1. Add sources. Upload the files or link the material you want the Space to draw on, so answers stay grounded in what you've actually provided instead of just the open web.
2. Set custom instructions. Tell the Space how to behave — tone, format, what to prioritize, what to leave out.
3. Search inside the Space. Every question you ask there pulls from the sources and instructions you've set, instead of starting from a blank slate.
4. Share it. Invite others in so a team searches against the same context instead of everyone starting their own separate thread.

Spaces aren't a one-time setup, either. The useful ones get revisited — you add a new source when you find one, tighten the instructions once you notice answers drifting, and prune what's no longer relevant. Treat it less like a folder you fill once and more like a workspace you keep tidy.

The value compounds the more you use it. A Space you've been feeding for a month answers better than a brand-new chat, simply because it already knows what you care about.

Spaces vs ChatGPT Projects vs Claude Projects vs Gemini Gems

Every major AI assistant now has some version of "organize your work into a persistent container," but they're not interchangeable. What matters most is what each one is fundamentally built to do well.

The honest answer is that these tools converged on a similar shape — a container with sources and instructions — because the underlying need is the same. What separates them is what each company already does best, and that carries into how the container behaves.

Tool	Core idea	Standout trait
Perplexity Spaces	A hub for search-based research on one topic	Answers stay grounded in live, cited web sources
ChatGPT Projects	A folder for chats, files, and instructions	Deep tie-in with ChatGPT's broader tools and memory
Claude Projects	A workspace built around shared project knowledge	Handles large volumes of dense reference material well
Gemini Gems	A custom mini-assistant with fixed instructions	Built to plug into Google Workspace apps

Pick the container that matches the work. If the job is answering questions from a defined set of documents, Claude Projects or ChatGPT Projects handle that well. If the job is ongoing, source-backed research where you actually want to see where the information came from, Spaces has the edge — that's the thing Perplexity is built for. Still weighing which assistant to lean on for research in general? Our best AI for research comparison breaks down the tradeoffs across all of them.

Why Spaces fit Perplexity's citation-first approach

Spaces work because they extend the one thing Perplexity is actually known for: showing its sources. Every Perplexity answer comes with citations, and a Space just gives that habit a permanent home instead of a disposable one.

That's a different bet than most chat tools make. Plenty of AI assistants optimize for a fluent, confident-sounding answer. Perplexity optimizes for an answer you can check — and as we explain in how does Perplexity work, that citation-first design is built into the product at the retrieval level, not added on after the fact.

That matters because an unverified AI answer is only useful until you need to trust it. A citation turns "the AI said so" into "here's where that came from, go check it yourself." For research you're going to act on — a purchase, a strategy, a recommendation to your team — that difference is the whole point.

A Space inherits that instinct. It isn't just a folder of chats — it's a running, citable research trail. Every answer inside it still points back to where the information came from, which is what makes it usable for real research instead of casual back-and-forth.

The marketing takeaway

Here's the part that should matter to anyone marketing a product: people are increasingly doing product research inside tools like Spaces, where every claim is expected to trace back to a source. That's a real shift from typing a query into Google and skimming ten blue links.

Picture someone building a Space to evaluate project management tools before they buy. They drop in a few articles, ask Perplexity to compare options against their requirements, and keep returning to that same Space as they narrow the list. Every recommendation cites a source — and if your product's page, review, or comparison isn't one of them, you don't get considered.

That's the shift in one sentence: you haven't lost a click, you were never in the conversation. Traditional SEO measures rankings. This measures something else — whether you get cited at all.

Ready to see where you stand?

The practical question isn't whether Perplexity Spaces are useful — they clearly are. It's whether Perplexity actually cites your product when someone researches your category inside one. As of this writing, AEOeye runs an audit that checks whether Perplexity, ChatGPT, Gemini, and Claude mention your brand when people ask the questions that matter to your business, so you're not left guessing.