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Humanize Perplexity

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How would you like to humanize your AI?

Choose the option that works best for you

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Standard Humanizing Prompt

Use our pre-crafted prompt that works for most people

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Customize Your Tone

Answer less than ten questions to create a personalized prompt

Customize Prompt →

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Based on Your Writing

Generate a prompt from your emails or writing samples ($10)

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Perplexity isn't quite the same product as the others. Its job is to look things up, synthesize, and cite — and only then write. That changes what 'humanizing' means. You're shaping how it summarizes and presents research, not how it free-associates.

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Research-summary register. Citation-heavy. Tends to list before it explains. Source-by-source structure when you'd prefer a synthesis.

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Market research, competitive scans, fact-checked summaries
Writing where citations matter — analyst notes, journalism, due diligence
Any task that starts with 'go look up X and tell me about it'
Replacing a 20-minute Google session with a 2-minute query

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Source-by-source structure — the humanize prompt should ask for synthesis first, sources at the end.
Quoting the source's tone instead of yours — explicitly set your voice in the prompt.
Over-citation in conversational contexts — Perplexity will cite every sentence if you don't ask it not to.

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Perplexity has a 'Profile' feature where you set persistent instructions — the equivalent of Custom Instructions here.
Use Spaces (Pro feature) for research projects where the humanizing prompt and the research scope live together.
Ask for 'synthesis first, citations as footnotes' to break the source-by-source habit.
Different Perplexity models behave differently — the 'Pro' model follows style prompts more closely than the default.

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Does this affect citation quality?: No. Style prompts shape voice, not source selection. Perplexity continues to cite whatever it cited.
Free or Pro?: Free works. Pro adds higher query limits, Spaces, and access to stronger models — worth it for heavy research users.
Will the prompt work for non-research questions?: Yes — Perplexity will use it on any query. Just know the model is research-shaped by design, so it'll always lean that direction.