01How Perplexity selects sources
Perplexity blends web retrieval with LLM reasoning and surfaces 3 to 8 citations per answer. Source selection rewards depth, recency, and explicit sourcing. Pages that themselves cite authoritative sources (with links) are dramatically over-represented in Perplexity answers.
02Content depth matters more than length
Perplexity favors specification-style content. A 1,200 word page with 6 FAQ blocks, 3 HowTo blocks, a TL;DR, dated lastModified, and 8 external citations outperforms a 4,000 word marketing essay. Depth means specificity per claim, not word count.
03Freshness signals for Perplexity
Perplexity weights freshness heavily. Pages with visible lastUpdated dates, current year references, and recent statistics outrank stale evergreen content. Update high-value category pages quarterly with a date stamp and a brief change log.
04Entity disambiguation
Perplexity needs to know exactly which brand you are. Organization schema plus a sameAs network linking to LinkedIn, Crunchbase, G2, Wikipedia (if eligible), and authoritative review platforms is the minimum entity foundation for Perplexity citations.
05Tracking Perplexity citations
Run weekly query sets against your 50 to 200 category queries on Perplexity Pro. Log citations, source rank, and brand mentions. Compare against ChatGPT and Gemini to identify retrieval gaps and reinvest content effort where citation share is weakest.
