Use Perplexity AI to get a sourced, current overview of your competitive landscape — who the main players are, how they position themselves, what their pricing and feature sets look like, and what analysts and customers are saying about them. Follow up with Claude to synthesise the competitive information into a structured analysis: market positioning map, feature comparison, and identification of underserved gaps. Perplexity handles the current-information retrieval; Claude handles the synthesis and structuring.

Gather customer reviews, support tickets, forum discussions, and social media comments about your category — both for your product and competitors. Upload these in bulk to Claude and ask it to identify recurring themes, common pain points, language customers use to describe their problems, and the jobs they're trying to accomplish. This qualitative synthesis at scale is one of AI's strongest market research applications — what would take a researcher weeks of manual coding takes minutes.

Use Claude to help build a structured market sizing model — top-down from industry reports plus bottom-up from unit economics. Claude can help you identify the right data inputs, work through the calculations, challenge your assumptions, and produce a defensible TAM/SAM/SOM framework. For sourcing current market statistics, use Perplexity to find recent reports and analyst estimates with citations you can verify. Always verify specific figures independently; AI can hallucinate statistics, and market sizing numbers are high-stakes.

Use Perplexity to monitor a market segment continuously — asking for recent developments in a category on a weekly or monthly basis gives you a running intelligence feed without purchasing a market monitoring subscription. For synthesising what those trends mean for your strategy, Claude's reasoning capability turns a collection of trend signals into structured strategic implications. Set up a regular rhythm: weekly Perplexity brief, monthly Claude synthesis of accumulated signals.

If you conduct interviews, surveys, or focus groups, AI dramatically accelerates the analysis phase. Upload interview transcripts to Claude and ask it to identify common themes, contradictions, notable quotes, and insights organised by research question. A set of 20 customer interviews that would take a researcher two full days to manually code and synthesise can be analysed in under an hour. The AI doesn't replace your judgment about what matters — it does the mechanical work of finding patterns in large amounts of qualitative data.