AEO for hospitality businesses
Answer engine optimization for hospitality.
Travel and dining recommendations are among the most common things anyone asks an assistant, and hospitality is unusually exposed: booking platforms and review aggregators sit between you and the traveller, and engines trust them. The winnable ground is specificity — the occasion, the constraint, the local knowledge an aggregator cannot express.
Free scan. $99 one-time if you continue — refunded in full if you aren't mentioned on 2+ engines in 45 days.
The questions that decide it
What your buyers actually ask.
These are the shapes of question that put a hospitality business on a shortlist. Your tracked prompt set is built from the versions your buyers use.
“best restaurants in [city] for [occasion]”
“hotels near [landmark] with parking”
“where to stay in [city] for families”
“best [cuisine] restaurant in [area]”
“dog friendly pubs in [region]”
“hotel with [specific amenity] in [city]”
“good places to eat near [venue]”
“best venues for [event type] in [city]”
Where it matters most
Not every engine matters equally here.
Gemini and AI Overviews lead by a wide margin, because Google's local and Maps corpus is the substrate for travel answers. ChatGPT is strong for itinerary and occasion planning, where a distinctive venue can be named if its character is legible from the site.
What we find
Why hospitality businesses stay invisible.
These are the patterns that come up again and again in this vertical — not a generic checklist.
Menus and details as images or PDFs
A menu in a PDF or an image is unreadable to a model. Dietary options, price band and cuisine — exactly the constraints people ask about — become invisible.
Amenities not machine-readable
Parking, accessibility, pet policy and family suitability decide these queries and are usually prose on an about page rather than structured data.
Ceding everything to OTAs
Booking platforms will win generic availability queries. Character, occasion suitability and neighbourhood knowledge are yours to own and they cannot replicate them.
Inconsistent details across platforms
Hours and addresses that disagree between your site, Maps and aggregators create ambiguity, and ambiguity gets resolved by recommending someone else.
The structured data that matters here
Choosing the most specific applicable type is what turns a generic business into a recognisable hospitality business.
RestaurantHotelMenuLocalBusiness
What corroboration looks like
Engines weigh what other sources say about you. In this vertical, these are the sources that carry weight.
- Consistent Google Business Profile and Maps data
- Review platform presence with recent reviews
- Guides, awards and local press coverage
- Structured menus and amenity data
FAQ
Questions from hospitality businesses.
Can we compete with Booking.com and TripAdvisor?
Not on inventory or breadth of reviews. On specificity you can — occasion, atmosphere, dietary provision and neighbourhood context are things aggregators flatten and you can express precisely.
Does this reduce our OTA commission?
It can, over time. Being named directly in an answer creates a path to a direct booking that would otherwise have gone through a platform, though the platforms will still carry most volume.
How important is the Google Business Profile?
In this vertical it is foundational. It feeds the corpus Gemini and AI Overviews draw on most heavily, and an inaccurate profile undermines everything else you do.
How is this measured?
Your prompts are asked on ChatGPT, Perplexity, Gemini and Claude and the answers recorded — whether you were named, in what position, and which pages were cited. The record is what the 45-day guarantee is judged on, so there is no interpretation involved.
What does it cost?
$99 once for a 45-day sprint. If your business isn't mentioned on at least 2 of the four engines by the end of it, you are refunded in full.
Ready to become the answer?
Free scan in ten seconds. $99 to fix it — refunded in full if we don't.