A synthesis of the independent research on how AI assistants describe and recommend travel organisations — who is asking, what they are told, and where the answers come from.
Assistants assemble travel answers from a handful of pages they trust. The published citation data shows which pages those are — and why an organisation's own website is rarely among them.
Search rewarded visibility. Assistants reward being recommended — a different mechanism, decided by different sources, with different winners. An executive note on what changes.
Public-information controls stop at the website. Assistants read everything else. A five-part framework for governing the sources that shape how AI describes your organisation.
Assistants build whole itineraries from regional guides, listings and reviews. When one fact is stale, the plan fails — and every organisation named in it shares the blame.
A peer-reviewed study measured what happens to a traveller's trust and intention to visit after a single inaccurate AI answer. The findings should change how organisations prioritise corrections.
A synthesis of the independent research on how AI assistants describe and recommend travel organisations — who is asking, what they are told, and where the answers come from.