AI can only recommend the advisor it can distinguish.
This free mini-course is for boutique hospitality consultants who advise independent hotels and want to understand how generated answers describe them. I work from concrete AI answer records: the consultant named, the role assigned, the hotel problem inferred, and the public source that may have shaped the answer. The course is about making advisory work legible without turning a small practice into agency copy.
“Who can help a small family hotel reposition after a handover?”
For this kind of project, the answer often cites agencies and property managers, plus an advisor in “hospitality support”…
What the course examines
Across thirteen lectures with short self-check tests, we look at how AI systems read hospitality consultants through service pages, directory entries, public profiles, Italian and English wording, and loose client descriptions. The course is free and carries no obligation. It is written for people who already understand hotel operations, seasonal demand, repositioning, guest segments, and the difference between consulting, management, and marketing support. The questions are practical: why was the consultant omitted, why was she called a marketer, which public phrase pulled the answer sideways, and what wording would make the role harder to blur?
- 13 lectures
- Free tuition
- 13 tests
The six tracks of the answer record
Mark how the model arrived at the consultant — or where it passed over them.
The lecture corpus
The lectures are meant to be read as a working sequence, though each one also stands on its own. Each starts with an actual-style hotel-owner question, follows the generated answer backward, and ends with a small correction task for a consultancy's public record.
A consultant can be visible and still be misunderstood.
Start with the answer the machine already gives, then repair the evidence behind it.