Should hotels use AI to write content?
Short answer
Hotels can use AI to help create content, but it should assist people rather than replace them. Google's guidance says AI-generated content isn't against its guidelines in itself; what matters is whether content is helpful, reliable, and created for people — using automation primarily to manipulate rankings violates its spam policies. For hotels, AI is useful for outlines, first drafts, and editing, but it can't know your property, your local area, or current facts. Every AI-assisted piece needs human review for accuracy, local insight, and your hotel's voice before it's published.
By Lodging Engine Editorial Team· Reviewed by Eric Zwanenburg· Last reviewed
What Google says
- AI-generated content isn't banned; quality and helpfulness are what count.
- Content should be people-first, demonstrating experience, expertise, authoritativeness, and especially trust.
- Google's guidance suggests being transparent about how content was produced where readers would reasonably expect it.
- Mass-producing content primarily to manipulate rankings is a spam policy violation, regardless of how it's made.
Where AI helps hotels
- Turning notes from your team into a structured outline.
- Drafting first versions of standard pages for an editor to refine.
- Suggesting questions guests might ask.
- Editing for clarity, tone, and length.
- Translating drafts for human review by fluent speakers.
Where AI falls short
- It doesn't know your hotel: room sizes, policies, and recent renovations must come from you.
- It can state outdated or invented facts with confidence — opening hours, distances, events.
- It lacks genuine local experience, which is often what makes hotel content valuable.
- It tends toward generic phrasing that sounds like every other hotel.
A responsible editorial process
- Start from real input: notes, photos, and knowledge from your team.
- Use AI to structure or draft.
- Fact-check every claim: times, prices, distances, names.
- Add first-hand detail: what your staff actually recommend and why.
- Edit for your voice.
- Review and approve by a named person before publishing.
- Keep it updated as facts change.
Hospitality example
A hotel asks AI to draft "Top things to do near our hotel". The draft includes a museum that closed two years ago and a "10-minute walk" that's actually 25 minutes. The editor corrects both, adds the reception team's favourite local restaurant with a personal note, and publishes the reviewed version.
Common mistakes
- Publishing AI drafts without fact-checking.
- Generating dozens of near-identical destination posts.
- Letting AI invent statistics or reviews.
Checklist
- AI used for structure and drafts, not final copy
- Every fact verified by a person
- First-hand local detail added
- Named reviewer approves before publishing
- Content reviewed periodically for accuracy
Sources
- Google Search's guidance about AI-generated content — Google Search Central Blog
- Creating helpful, reliable, people-first content — Google Search Central