To rank in Perplexity, let PerplexityBot crawl your site, publish pages that answer the searches behind your buyers’ questions in quotable passages, and make sure the third-party pages Perplexity cites describe you accurately. Perplexity searches the web and cites its sources next to the answer, so “ranking” there means being one of the pages it reads and links to.
That visible citation list makes Perplexity one of the most transparent assistants. You can see which pages won for any prompt, including your competitors’ pages. This guide covers what Perplexity officially documents about how it finds pages, a five-step process to improve your chances of being cited, and how to check where you stand.
Key takeaways
- Perplexity answers by searching the web and linking the sources it used, so being cited depends on being found for the right searches.
- PerplexityBot is the crawler that surfaces and links websites in Perplexity’s search results. Perplexity recommends allowing it in robots.txt and says it is not used to train AI foundation models.
- Perplexity-User fetches pages when a user asks a question and, per Perplexity’s docs, generally ignores robots.txt because the fetch is user-requested.
- Pages that open with a direct, specific answer are easier to quote than pages that bury the facts.
- Perplexity doesn’t publish how it ranks sources, so measure which pages it cites for your prompts and work from that evidence.
How Perplexity answers: live search, then cited synthesis
When you ask Perplexity a question, it typically searches the web, reads a set of pages and writes an answer with numbered citations pointing to those pages. The sources are part of the product, not an afterthought, which makes Perplexity unusually easy to audit.
What Perplexity doesn’t publish is the detail: how many pages it considers, which index or partners it relies on beyond its own crawler, or how it weighs one source against another. Third-party guides that quote exact numbers or “ranking factors” are making educated guesses. The safest approach is to treat Perplexity like any search-based assistant: if your page isn’t found for the underlying search, it can’t be cited.
| What Perplexity documents | What it doesn’t document |
|---|---|
| PerplexityBot surfaces and links websites in its search results | How sources are ranked or selected |
| PerplexityBot is not used to crawl content for foundation models | Which external indexes or partners it uses, if any |
| Perplexity-User fetches pages for user questions and generally ignores robots.txt | How many pages it reads per answer |
| Settings changes may take up to 24 hours to apply | How often a given page is recrawled |
Step 1: Let PerplexityBot crawl you
Perplexity’s crawler documentation describes two agents:
- PerplexityBot is designed to surface and link websites in Perplexity’s search results. Perplexity recommends allowing it in your robots.txt and publishes its IP ranges so you can allowlist them in your firewall.
- Perplexity-User supports user actions: when someone asks a question, it may visit a page to help answer and link to it. Because a user requested the fetch, Perplexity says it generally ignores robots.txt rules.
In practice, check three things. Your robots.txt shouldn’t disallow PerplexityBot (Google’s introduction to robots.txt is a good refresher on the syntax). Your CDN or bot-protection settings shouldn’t block it either, which can happen without anyone noticing. And remember that changes may take up to 24 hours to be reflected, according to Perplexity.
The Perplexity-User behavior is a policy choice worth knowing about rather than a problem to fix. If you need to restrict it, robots.txt alone won’t do it. Our guide to AI crawlers and robots.txt compares how each assistant’s crawlers behave.
Step 2: Win the searches Perplexity runs
A buyer prompt like “best CRM for a 20-person startup that sells to enterprises” carries several sub-questions: which CRMs suit small teams, which handle long sales cycles, what they cost. Search-based assistants commonly break a prompt like this into several searches, a pattern known as query fan-out. Google describes the same technique for its own AI features in its AI features documentation.
To work with this:
- List the sub-questions behind each buyer prompt you care about.
- Map each one to a page on your site that answers it directly, or note the gap.
- Check who ranks for those searches in traditional search engines, since pages that are found for a query are the ones an assistant can read.
- Fill gaps with genuinely useful pages, not thin variations for every phrasing.
We go deeper on this in query fan-out explained.
Step 3: Make passages easy to quote
Perplexity attaches citations to specific statements, so the page that gets cited is often the one with a clear sentence that supports the claim. Write with that in mind.
- Answer first. Open each section with the direct answer, then add context. “Pipedrive’s paid plans start at…” beats three paragraphs of positioning.
- Be specific. Names, numbers, plan names, integrations and supported use cases are quotable. “Powerful and flexible” is not.
- Date what changes. Put an “updated” date on pricing, comparison and “best of” pages, and keep them current. For questions about current tools, a page that is visibly maintained is more useful to readers.
- Use structure. Clear headings, short paragraphs, comparison tables and FAQ sections make it easy to find the passage that answers a narrow question.
None of this is a trick. It’s the same clarity that helps a busy reader, and it’s consistent with what we describe in how AI assistants choose the sources they cite.
Step 4: Be present on the third-party pages it cites
For recommendation prompts, Perplexity often cites pages you don’t own: review platforms, “best tools” roundups, community threads, industry publications. If those pages leave you out or describe you inaccurately, the answer will too.
- Collect the cited domains for your buyer prompts over several runs.
- Rank them by frequency. A handful of domains often appear again and again.
- Audit your presence on each. Are you listed? Is the description current?
- Act where you can: update review profiles, contact roundup authors with accurate information, contribute honestly to community discussions.
Our guide to getting cited through review sites and roundups covers outreach in detail.
Step 5: Check which pages get cited, and which competitor pages do
Because Perplexity shows its sources, you can audit your visibility at the page level, not just the brand level.
- Your pages cited: which of your URLs appear, for which prompts.
- Competitor pages cited: which of their pages win, and what those pages do that yours don’t.
- Third-party pages cited: where you need to be present.
- Brand mentions without citations: cases where Perplexity names you but cites someone else’s page about you.
Run each prompt several times. Answers vary between runs, and one result is an anecdote. Then change one thing and re-run the same prompts a few weeks later to see the trend. The same discipline applies in other assistants; see how to rank in ChatGPT for the OpenAI side.
See Perplexity’s sources for your prompts with Citegram
Citegram is a free Chrome extension with a dashboard that automates the checking in step 5:
- Add the buyer prompts you want to track.
- Run them in the real Perplexity app. Citegram asks each prompt in a background tab using the Perplexity account already signed in to your browser. There’s no API key, and questions count toward your own plan usage. Answers come from your account, so personalization and location can influence them.
- See whether you’re mentioned and where. Each run records whether your brand appears and its position.
- Review the cited sources. Citegram records the sources and links each answer cited, so you can see which pages you need to beat or appear on.
- Compare across assistants. The same prompts run in ChatGPT (where Citegram also records the web searches it ran), Gemini, Claude, DeepSeek, Grok and Google AI Overviews, with share of voice per brand and per assistant, the most cited domains and trends over repeated runs.
First results arrive in about 10 minutes.
FAQ
How does Perplexity choose its sources?
Perplexity searches the web for your question and cites the pages it used, but it doesn’t publish how it ranks or selects them. In practice, a page has to be crawlable, found for the underlying searches and contain a clear passage that supports the answer. Checking which pages it cites for your own prompts is the most reliable guide.
Does Perplexity use Google or Bing?
Perplexity documents its own crawler, PerplexityBot, which surfaces and links websites in its search results. It doesn’t publicly detail which other indexes or partners it may use, so treat claims that it simply relies on Google or Bing with caution. Being well indexed and visible in search generally helps.
How do I get my website on Perplexity?
Make sure PerplexityBot isn’t blocked by robots.txt or by your firewall or CDN, since Perplexity recommends allowing it for your site to appear in search results. Then publish pages that directly answer the questions your buyers ask. There’s no submission form that guarantees inclusion.
How often does Perplexity update its sources?
Perplexity searches the web when answering, so answers can reflect recently published or updated pages. It doesn’t publish how often individual pages are recrawled. It does say changes to crawler settings may take up to 24 hours to be reflected.
See where you stand in Perplexity
Perplexity shows you exactly which pages it trusts for your prompts, so start by looking. The free plan tracks one prompt across all assistants, forever. Pro adds unlimited prompts for $10 a month. See pricing.


