Not all research starts with a document. Sometimes you need a working overview of a destination you know less well, a quick orientation to a product category you have not worked with recently, or a synthesis of what experienced advisors tend to flag about a particular region.
AI handles this kind of research task well, with one important caveat that is worth stating clearly: its knowledge has a training cutoff date. Information about destination conditions, visa requirements, entry regulations, health requirements and anything else that changes frequently may be out of date in the tool’s training data even if it presents it with complete confidence.
The principle from Module 1 applies here with particular force: AI surfaces, you verify. For orientation and overview research, where you are building general knowledge rather than confirming client-specific facts, AI is fast and useful. For anything that will go to a client as actionable information, visa requirements, health requirements, safety conditions, entry logistics: primary sources only. Always.
With that caveat clearly in place, here is how to use AI for research effectively.
Ask for an overview of a destination from a specific perspective: luxury travel, adventure travel, family travel. Ask it to identify the aspects most commonly raised by clients after they return and how the best operators address them. Ask it to explain the seasonal logic of a destination so you can advise confidently on timing. Ask it to compare two destinations against a specific client brief so you can orient your recommendation before you go deeper.
Each of those tasks produces a useful starting point. What you do with that starting point, the judgement, the verification, the client-specific calibration, is yours.
