Cover of 30 queries enterprise teams can put to work

30 queries enterprise teams can put to work

Ready-to-run query templates for Perplexity Search and Computer that help teams research markets, weigh decisions, draft briefs, build dashboards, and run recurring workflows.

What’s inside

  1. Put 30 query templates to work

    Find a starting point for research, analysis, writing, planning, building, or monitoring. Each template names the inputs and expected output, so teams can adapt it to the assignment at hand rather than start from scratch.

  2. Choose Search or Computer for the job

    Use 13 Search templates to find, compare, and verify information, and 17 Computer templates to deliver workbooks, decks, memos, dashboards, and recurring workflows across files, connected apps, and the web.

  3. Write queries that read like a brief

    Learn the six elements of a strong query: goal, context, inputs, constraints, deliverable, and approval. Use them to specify what useful work looks like, set rules for evidence, and make clear what needs a person’s sign-off.

  4. Review the work before putting it to use

    Follow guidance for checking evidence, dates, assumptions, and calculations before relying on an output. For recurring workflows, preview the results, approve the setup, and verify that a scheduled run actually happened.

Summary

Getting useful work from AI starts with a clear assignment. Teams need queries that provide context, define the intended deliverable, and explain how the result will be used, whether the task is comparing vendors, preparing a decision memo, or planning a project.

This guide brings together 30 synthetic query templates informed by aggregate analysis of Perplexity Enterprise usage. They cover six types of work, with 13 templates for sourced answers in Search and 17 for finished files and ongoing workflows in Computer.

Each use case includes the inputs to provide, the output to expect, and what to check before using it. Find the template closest to your task, replace the bracketed fields, and add the context that shapes a useful result. Once it works, share it with colleagues so the team can use the same approach.

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Put a query template to work with Perplexity Search and Computer.

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