Hotel and Hospitality Marketing Agency

A traveller planning a weekend away used to open six tabs: a booking site, a review site, a map and a couple of blogs. Now many type one question into ChatGPT, Gemini or Google AI Mode and get a shortlist of three or four hotels with a line on each. Ask for a quiet anniversary dinner near Covent Garden and the answer is a set of names, not a page of links.

If your property is not on that shortlist, the traveller never reaches your booking page. If it is on the shortlist but described with last year's renovation, the wrong price band or a spa you closed, you lose the booking another way. We are an AI visibility agency. We track what seven engines say about your hotels and restaurants, prompt by prompt, and change the sources behind those answers.

The questions travellers put to AI before they book

• “Best boutique hotel in Edinburgh Old Town under £250 a night”
• “Family-friendly resort in the Algarve with a kids' club and a heated pool”
• “Dog-friendly country house hotel in the Cotswolds for a long weekend”
• “Where should I stay in Lisbon for nightlife but still get a quiet room?”
• “Hotels near the Javits Center with a gym and late checkout”
• “Romantic restaurant in Manchester with a tasting menu and vegetarian options”
• “Adults-only all-inclusive in Cancún that is walkable to the beach”

Each one carries a place, a budget, an occasion or a constraint. The hotel named for “family resort” is not always the one named for “adults-only”, and each engine answers differently.

What shapes a hotel or restaurant answer

Answers about where to stay and eat typically draw on:

• Review and booking platforms: Tripadvisor, Booking.com, Expedia and Google reviews, including what guests write, not just the score.
• Google Maps and Business Profiles: hours, categories, photos and attributes such as pet-friendly or step-free access, which matter most in Google AI Overviews and Google AI Mode.
• Editorial lists: Condé Nast Traveller, Time Out and similar “best hotels in” and “best restaurants in” guides.
• Travel blogs and Reddit threads: first-hand trip reports that often answer the exact question a traveller asked.
• Your own website: where engines confirm room types, amenities, policies and menus, if those facts are written in the page rather than locked in images.

Why good properties go missing from AI answers

Facts that live only in PDFs and images. Menus, spa price lists and room comparisons are often uploaded as PDFs or designed graphics, which an engine looking for a tasting menu with vegetarian options cannot reliably read.

Stale descriptions on third-party pages. A refurbishment, a new chef or a closed pool can take years to filter through older listicles and forum threads, and engines keep repeating the old version.

The travel agency becomes the source. When your own site says little, the engine cites Booking.com or Expedia for your details, and the traveller follows that link.

Group properties blurred together. A group with several hotels in one city can find engines merging them, quoting a rooftop bar at the wrong address.

How we help hotels and restaurants win direct bookings

What working with us looks like

We work property by property. For each hotel or restaurant we agree the questions travellers ask, measure what seven engines tell them, then fix the facts and sources behind those answers. A group with several hotels gets a prompt map and a report for each one.

What we deliver for each property

• A prompt map by need, location and season. Questions grouped by guest type, budget, occasion and the months they are asked, so festival and Christmas market prompts are ready before the guides are written.
• Property fact pages with structured data. Rooms, bed types, accessibility, pet and child policies, parking, check-in times, menus and spa lists written as plain text rather than PDFs, with Hotel and Restaurant structured data that says the same thing.
• Listings that match your site. Your Google Business Profile, Tripadvisor, Booking.com and Expedia listings brought into line on amenities, attributes, photos and policies, plus review replies that answer what future guests want to know.
• A direct booking check. We test whether the pages engines cite send travellers somewhere they can book with you, and whether your own link appears in Google's hotel results.
• Pitches to the guides engines cite. The “best hotels in” and “best restaurants in” lists that appear for your prompts, the writers who update them, and a current reason to include you, such as a refurbishment or a new chef.
• A fact-correction log. Each wrong statement we find, such as a closed spa, an old price band or a rooftop bar placed at a sister hotel, with its source, the fix requested and the date each engine changed.
• Monthly answer share by property. Your share of answers for every prompt against named rival properties, engine by engine, including how often your own domain is cited rather than an online travel agency.

Your first 90 days

Weeks 1 to 2: map and measure

• Prompt maps agreed with your marketing lead for each property, including seasonal questions for the next six months.
• A baseline across ChatGPT, Perplexity, Gemini, Claude, Grok, Google AI Overviews and Google AI Mode: who is named, how you are described and which pages are cited.
• Wrong facts and technical blockers ranked, from menus in PDFs to booking pages that crawlers cannot reach.

Weeks 3 to 6: fix the facts

• First property fact pages live, starting with the rooms, dining and policy details engines get wrong most often.
• Business Profile and booking platform listings corrected, and fixes requested on third-party pages that carry old details.
• Pages for the next peak season drafted early enough to be fetched before travellers start asking.

Weeks 7 to 12: earn citations and show movement

• Pitches out to the guides and travel writers each engine cites for your prompts.
• The full prompt set re-run against the baseline. The month 3 checkpoint is movement in answer share on target questions and the first earned citations quoted by engines.

By month 6, answer share on your core questions is reported engine by engine against named rival properties. Our method sets out the four steps: map, measure, move and prove.

What you see each month

The report shows, property by property, which hotels or restaurants each engine names for each question, how yours is described and which pages it cites, with what we changed and what moved. The live dashboard holds the same answers, so a general manager can check their property on any day.

Illustrative example, not client data:

What we need from you

• An approver: your revenue or marketing manager, with operations signing off anything that states a price, a policy or an accessibility feature.
• Access: your CMS, Google Search Console, analytics and Google Business Profile, plus a contact at your booking engine provider.
• Priorities: the properties, room types, menus and seasons that matter most this year.
• Rivals: the hotels and restaurants you lose bookings to, property by property.
• Approvals within a few working days, so seasonal pages go live before the questions start.

Plans start at $2,000 a month, and custom engagements for a narrower scope start at $1,500 a month. Pricing sets out what each plan includes.

Seasonality, events and the direct booking

Hospitality demand moves with the calendar, and so do the questions. Christmas market breaks, ski chalets with childcare and festival weekends each draw questions for a few weeks a year, and the guides engines cite for them are often published months ahead. That lead time is why the prompt map is built by season as well as by property.

The booking route matters as much as the mention. Google's hotel results can show free booking links, which are unpaid and ranked by usefulness to the traveller, and a hotel's own booking engine can appear among them, sometimes connected through its reservation system provider. A working direct link beside the agencies' links gives the traveller a reason to book with you.

Google results still feed many AI answers, so the technical groundwork is included, from letting AI crawlers reach your pages to meeting what Google AI Overviews require before they link to a page.