Assumptions
What we take for granted
The limits, before the results. An observatory that doesn't declare its assumptions isn't one.
- 01
The traveller has already chosen Italy
We don't measure Italy against Spain or Greece. We measure competition inside Italy: once the country is settled and the territory is still open.
- 02
We analyse three stages out of five
Dreaming, Planning and Booking are the stages where an AI answer can still move the decision. Experiencing and Sharing happen after booking: they matter for reputation, not acquisition, and are better measured elsewhere.
- 03
Two languages, not every market
Italian stands for domestic demand, English for international demand. German, French and Spanish are left out, and they are significant inbound markets for Italy. That's a real limit, and we state it here rather than let you infer it.
- 04
Prompts without personalisation
We query the models with no history, no account, no user geolocation. We measure the baseline answer, not the one a user with two years of conversations receives.
- 05
AI changes its mind
The same prompt gives different answers minutes apart. That's why every value is the average of five monthly runs per engine, published with its spread.
- 06
Twenty hotels are a sample
For each destination we follow twenty properties chosen for relevance and range. It isn't the territory's full hotel universe and doesn't pretend to be.
- 07
This phase's data is simulated
Scores, citations, crawler behaviour, volumes and CPC are generated to build and demonstrate the tool. Official and editorial domains are generated from the destination name rather than taken from real sites: publishing that an existing organisation blocks a crawler without having checked would simply be false.
How we calculate the score
The formula is public, and this page reads it from the code that applies it. They cannot tell two different stories.