Guide

How to get cited by Perplexity AI

Q: How does Perplexity select its sources?

Perplexity works like a search engine paired with a language model: for each question it runs a real-time search, retrieves a handful of pages, then writes an answer citing its numbered sources explicitly. Two gates to pass. First gate, retrieval: your page must be indexed and accessible to PerplexityBot and Perplexity-User — if they're blocked in your robots.txt, you don't exist to it. Second gate, selection: among the retrieved pages, Perplexity picks the ones whose passage answers the question directly and reliably. Unlike a classic engine, it doesn't reward domain authority alone: a small site whose paragraph answers cleanly can be cited ahead of a big vague site. This two-gate system is what makes Perplexity attackable even for a recent site — provided you're accessible and have crisp passages.

Q: Which signals does Perplexity value most?

Three, more pronounced than in other engines. Freshness: Perplexity often shows the date of its sources and favors recent content, so a real updated date and an accurate dateModified weigh more. Reciprocal sources: Perplexity favors pages that themselves cite credible sources — a guide backed by studies or official data earns trust and gets cited more easily. Extractable structure: Perplexity readily lifts lists, tables, definitions and short, crisp answers, because these are easy units to insert into an answer. In practice, write each section as a self-contained 40-160 word answer that starts by answering, back it with a fact or source, and keep your content current. These three signals compound: recent, sourced, structured content ticks exactly the boxes Perplexity knows how to recognize.

Q: How do you concretely prepare your site for Perplexity?

Four actions, in order. One: allow PerplexityBot and Perplexity-User in your robots.txt, and check that your key pages are indexed and server-rendered. Two: publish an llms.txt at your root, to give Perplexity a clean summary of your site and important pages. Three: add Q&A schema.org markup (JSON-LD) on your pages, to expose question-and-answer pairs Perplexity can lift as-is. Four: restructure your key pages as real questions with direct, sourced, dated answers. These four actions cover both gates — accessibility for retrieval, crisp fresh passages for selection. For the technical steps (llms.txt and Q&A markup), a tool like Citeable generates them from your real content in minutes, consistent with each other, which lets you focus on the editorial quality of the answers. Honest reminder: nobody controls Perplexity, so the goal is to maximize your chances, not to guarantee a citation.

Updated · July 5, 2026 — Joffrey Bonifay

What is GEO?→

Perplexity is the answer engine that displays its sources most visibly — which makes it the most direct target for GEO. This guide focuses on its own signals. For the general method (shared with ChatGPT), see how to get cited by ChatGPT.

How does Perplexity select its sources?

Perplexity is a search engine paired with a model: for each question it runs a real-time search, retrieves a handful of pages, then writes an answer citing its numbered sources. Two gates.

Retrieval: your page must be indexed and accessible to PerplexityBot and Perplexity-User — blocked in robots.txt, you don't exist. Selection: among retrieved pages, it picks the ones whose passage answers directly. It doesn't reward authority alone — a small crisp site can be cited ahead of a big vague one.

Which signals does Perplexity value most?

Three signals, more pronounced than elsewhere:

Freshness — it shows source dates and favors recent content; accurate dateModified.
Reciprocal sources — it favors pages that themselves cite credible sources.
Extractable structure — lists, tables, definitions, short crisp answers.

Write each section as a self-contained 40-160 word answer that starts by answering, back it with a fact or source, and keep it current. The three signals compound.

How do you concretely prepare your site for Perplexity?

Four actions, in order:

Allow PerplexityBot + Perplexity-User; check indexation and server rendering.
Publish an llms.txt at your root.
Add Q&A schema.org markup on your pages.
Restructure key pages as questions with direct, sourced, dated answers.

For the technical steps, Citeable generates your llms.txt + Q&A markup from your real content, consistent with each other. Honest reminder: nobody controls Perplexity — the goal is to maximize your chances, not guarantee a citation.