Most people use LLMs to write faster. 😎 That’s the least interesting thing they can do. Tools like ChatGPT or Claude can scale research you’d otherwise never have time to do correctly. Here are three places where this works in practice: 1️⃣ Customer feedback Instead of skimming a handful of survey responses, LLMs can help you make sense of thousands. By querying structured data, spotting patterns, and summarising what customers complain about, praise, or get confused by. 2️⃣ Expert knowledge Subject matter experts are busy and tired of repeating themselves. A well-designed LLM interviewer can capture their thinking asynchronously, one question at a time, then turn it into usable insight for positioning, content, and strategy. 3️⃣ Competitors Review site copies, job ads, and historical messaging from competitors. LLMs are good at synthesising this into a clear picture of how competitors position themselves, what they over-promise, and where they leave gaps.
LLMs for Research and Insight Generation
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Big update: Saleshandy MCP is now live 🔥 This one’s been exciting to ship! You can now use Saleshandy from Claude, ChatGPT, n8n, Cursor… wherever you already work. Connect Saleshandy’s MCP server in just a few minutes and run your entire cold email campaign from there. Then: create sequences, check performance, manage prospects, monitor sender health… 40+ actions available... All by typing what you want in plain English. It feels surprisingly natural. You think about what needs to be done, type it once, and it happens on your real Saleshandy data. If you already live inside AI tools, this changes how outreach feels. Connect your favorite tools with Saleshandy MCP. Try it once and drop what you would build with this in the comments below! 👇
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