How do I rank in Perplexity AI search?

Perplexity uses a hybrid retrieval stack — its own web index, Bing API, and curated source lists — then synthesizes answers with citations using a mix of Sonar (proprietary) and frontier models from Anthropic and OpenAI. Ranking in Perplexity therefore overlaps significantly with traditional SEO and Bing optimization, but with stronger weight on three signals: source authority, content freshness, and answer-shaped formatting.

Five tactics that move Perplexity citations: (1) Be in the top 20 Google and Bing results for your target query — Perplexity's retrieval pulls heavily from both indices. If you're not ranked organically, you won't be retrieved. (2) Use FAQ and HowTo schema — Perplexity's parser visibly favors structured Q&A content for its "Answer" cards. (3) Lead each section with a 1–2 sentence summary — Perplexity quotes the first declarative sentence after a heading roughly 60% of the time. (4) Refresh content quarterly — Perplexity's index prioritizes "last modified" timestamps under 90 days for evergreen topics. (5) Build presence on Reddit, Wikipedia, and high-DR publications — Perplexity's "Pro Search" mode pulls these into multi-source synthesis.

Perplexity now has ~30 million weekly active users (per their late-2025 disclosures) and serves over 500 million queries per month, making it the largest standalone AI search engine. Citation share here is the leading indicator for the broader AEO market.