Lesson Guide

Build a Data-Driven Brand Strategy with Perplexity

Brand strategy is only as good as your market understanding. Perplexity gives you research grounded in real, cited sources — not outdated training data — which means your brand positioning can be built on what's actually happening in the market today.

PerplexityPerplexityClaudeClaudefoundersmarketers
From the AI School app

Try this starter prompt

Copy and paste this into ChatGPT or Claude with your details filled in. It's a simplified version — the full prompt chain is in the app.

Market Research Query Builder
I'm building a brand strategy and want to use Perplexity for market research.

Brand category: [e.g. "sustainable DTC pet food"]
Target audience: [WHO YOU SERVE]
Question I need answered: [e.g. "What are the top 3 reasons pet owners switch brands?"]

Write me 3 Perplexity search queries that will find:
1. Existing market pain points (from real customer reviews or forums)
2. Emerging trends in this category in the last 12 months
3. A gap no current brand is filling well

For each query, explain what type of source I should prioritize in the results.

→ Get the full brand strategy research framework in AI School

How it works

  1. 1

    Write your 3 most important brand strategy questions before searching

  2. 2

    Use the query builder prompt to generate targeted Perplexity searches

  3. 3

    Synthesize the cited results into a positioning brief using Claude

  4. 4

    Validate your positioning against 5 real customer conversations

What you'll build in the app

Project

Get the full brand strategy research system — queries, synthesis framework, and positioning template — inside AI School.

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Build a Data-Driven Brand Strategy with Perplexity

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