AI for market research: a step-by-step guide
Blog post from Perplexity
AI can support an end-to-end market research workflow, from converting a broad business idea into a structured research brief through market sizing, segmentation, competitor analysis, positioning, sentiment monitoring, primary research, and final decision reporting. The approach distinguishes tasks suitable for a single query from multi-step investigations requiring repeated source checks and updates, while recommending different tool types for simple drafting, broad research, and ongoing tracking. Throughout the process, AI-generated findings should be treated as directional rather than definitive: important claims, figures, dates, market definitions, competitor events, and sentiment themes require verification against original and current sources. The guidance emphasizes using prompts that request citations, disclose uncertainty, separate observations from inferences, and identify conflicting evidence, then applying human review to surveys, high-stakes decisions, and ambiguous real-world text. Because markets, competitors, and customer preferences change quickly, it also recommends scheduled refreshes ranging from weekly sentiment checks to periodic market-sizing reviews, with deeper updates before launches, pricing changes, funding decisions, or major strategic shifts.
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