Deep Research can save GTM teams 10+ hours weekly by turning messy information into clear reports. Here’s how to use it smartly.
GTM leaders often waste hours gathering data, comparing sources, and creating reports. Deep Research speeds this up, but only works well if you know how to guide it.
Deep Research is one of the first AI tools that can handle complex, non-technical tasks from start to finish. It doesn’t just search - it creates full reports, strategies, and playbooks. The problem is, most people underuse it because they don’t give the AI enough context, don’t shape the prompt well, or rely on weak sources.
To get the most value, you need to “train” Deep Research like you would a junior analyst. That means pointing it to credible sources, sharing detailed company context, asking for a research plan first, and formatting the output so it’s easy to act on. Different AI tools shine in different areas: ChatGPT (best for depth and detail), Gemini (strong backup with high limits), Perplexity (great for source control), Claude and Grok (simple, readable reports).
Real-world GTM use cases show its power: building an attribution model, analyzing competitors’ ads, auditing your homepage, comparing product features, or ranking countries for expansion. Each one can be done in under an hour instead of days, as long as the prompt includes clear goals, context, sources, and format.