The short answer

Support another language when it serves a real guest audience and the hotel can maintain accurate translated facts and inquiry support. Choose language-specific questions and measure their responses separately. Translation alone does not prove that another language market sees the same AI recommendations.

Translate the policy meaning, not only the words

Use a reviewer who can preserve booking conditions, room terminology and important exceptions. A translated answer should link to a source the guest can understand or clearly explain where the current terms are maintained.

Decide who handles follow-up in that language. Publishing a fluent answer without a supported inquiry path can create expectations the hotel cannot meet.

Keep observation panels separate

Record the language, location context and product settings for each panel. Equivalent topics in English and Spanish need not produce the same sources or hotel choices.

Confirm the commercial scope before expanding a managed program. Arrow’s published plans define language and market boundaries; additional coverage should be agreed rather than assumed.

What to check

  1. Confirm the audience and available language support.
  2. Review translated policy details with an owner.
  3. Report each language panel with its own conditions.

A practical example

An illustrative hotel publishes a reviewed Spanish arrival answer and ensures the phone follow-up can support that audience. It measures Spanish stay questions separately from the English baseline.

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.