The short answer

Start with questions that affect a real stay decision and that the property can answer accurately. Examples include room suitability, arrival conditions, cancellation policies and how to reserve a verified service. Use actual inquiry patterns where available, with private guest details removed, rather than manufacturing hundreds of keyword variations.

Prioritize decisions instead of query volume alone

Ask the reservations team which unanswered questions repeatedly block bookings or generate clarification requests. Group questions by the underlying decision so several phrasings can share one useful answer.

A family-stay question and a late-arrival question may need separate evidence. Five paraphrases of the same checkout question usually need one maintained source.

Keep answers close to their source

Answer directly and link to the authoritative policy or booking condition. If a question requires dates, availability or a personal accommodation assessment, explain where the guest can obtain a current answer.

Avoid publishing a universal answer when the decision depends on the room category or selected rate. An answer hub should make those conditions visible.

What to check

  1. Choose a question tied to an actual guest decision.
  2. Merge phrasings that need the same evidence.
  3. Link the answer to its maintained policy or booking source.

A practical example

An illustrative hotel reviews anonymized inquiry themes and creates one clear late-arrival answer with a contact route for date-specific arrangements. It does not publish guest messages or names.

Sources and further reading

These steps are Arrow AI's implementation guidance. The example is illustrative; it is not a measured customer result. Publication and source access do not guarantee an AI recommendation.

Apply this to your website

Identify the source gaps and decide what to improve with Arrow's free audit. Review what Arrow GEO measures before choosing a reporting scope.