9 Steps to Improve Your Hotel's AI Search Visibility

Why AI visibility matters for hotels now

Travellers are no longer just typing "hotels in Bath" into Google. They are asking ChatGPT "where should I stay in Bath for a romantic weekend" and getting a curated list of three to five properties. If your hotel is not on that list, you have lost the booking before the guest ever saw your website.

The shift is measurable. Based on patterns we see in Delphium Labs research, AI engines now influence a growing share of discovery-stage travel decisions. The properties that appear in these recommendations share specific, identifiable characteristics. None of them are mysterious, and all of them are within reach of any hotel willing to do the work.

Here are nine concrete steps to improve your hotel's AI search visibility, ordered by impact.

1. Implement Hotel schema markup (JSON-LD)

Schema markup is structured data you add to your website's code that tells search engines and AI models exactly what your property is, where it is, and what it offers. Without it, AI engines have to guess. With it, they have clean, machine-readable facts to pull from.

The fields that matter most for hotels:

• name - your full property name, matching your Google Business Profile exactly
• address - complete and properly structured with streetAddress, addressLocality, addressRegion, postalCode, addressCountry
• starRating - your official star classification
• amenityFeature - a list of specific amenities: free WiFi, parking, pool, spa, restaurant, EV charging
• numberOfRooms - the actual number
• priceRange - even a broad range like "120-280 GBP" gives AI engines something to work with

Add this as a JSON-LD script in the head of your homepage and on each room-type page. A hotel with complete schema markup appears in AI recommendations roughly twice as often as a comparable hotel without it. That makes this the single highest-return technical change you can make.

2. Create detailed room-type pages

Most hotel websites list room types on a single page with a photo, a one-line description, and a "book now" button. AI engines cannot do much with that. They need specific, extractable facts about each room type.

Give every room category its own dedicated page. On that page, include:

• Dimensions: "32 square metres" is useful. "Spacious" is not.
• Bed configuration: "Super king bed (180cm x 200cm)" beats "double bed"
• View description: "overlooking the River Avon and Pulteney Bridge" gives an AI engine a geographic anchor
• Room amenities: rainfall shower, Nespresso machine, Roberts radio, blackout curtains
• Rate range: "From 145 GBP per night, including breakfast"

A boutique hotel in York added dedicated pages for each of its six room types with this level of detail. Within eight weeks, the property began appearing in Perplexity responses for "boutique hotel York with river views" - a query it had never surfaced for previously. The difference was not a redesign. It was 300 words of specific, factual content per room type.

3. Write answer-ready content

AI engines extract information differently from how human visitors read websites. A guest might enjoy a beautifully written paragraph about your hotel's atmosphere. An AI engine is looking for a direct answer to a direct question.

Structure your content so that key facts appear in clear, standalone sentences or short paragraphs:

• "The hotel is a five-minute walk from Manchester Piccadilly station."
• "Free on-site parking is available for up to 40 vehicles."
• "Check-in is from 15:00 and check-out is by 11:00."

This does not mean your writing has to be robotic. It means your most important facts should be extractable without context. Lead with the answer, then add the story around it. Think of it as writing for both the AI engine and the guest at the same time.

Consider adding a clearly structured "At a Glance" section to your homepage or about page that lists your essential property facts in a format an AI can parse in seconds.

4. Optimise your Google Business Profile

Your Google Business Profile (GBP) is one of the most influential data sources for AI engines, particularly Gemini, which draws heavily from Google's own ecosystem.

Complete every available field. This means:

• All attribute categories: accessibility features, payment methods, amenities, crowd type, planning information
• High-quality photos: aim to add at least two new photos per week. Properties with over 50 GBP photos show measurably higher AI visibility
• Regular posts: share seasonal offers, events, property updates. Recent activity signals relevance
• Review responses: respond to every review, positive and negative. The text of your responses becomes part of the data AI engines can draw from

A hotel that responds to a negative review about breakfast by saying "We have since introduced a full cooked-to-order breakfast menu with locally sourced ingredients, available from 7:00 to 10:30" has just created a factual, extractable statement that an AI engine can use when a traveller asks about breakfast options.

5. Build location context pages

When someone asks an AI engine "where should I stay near the Edinburgh Fringe", the engine is not just looking at hotel data. It is looking for properties that demonstrate knowledge of and connection to the surrounding area.

Create dedicated pages for:

• Neighbourhood guides: what is in your immediate area, walking distances to key landmarks
• Local attractions: detailed, opinionated guides to nearby restaurants, pubs, museums, parks
• Transport information: how to reach your property from major airports, train stations, and motorways, with specific distances and journey times

A country house hotel in the Cotswolds that publishes a detailed guide to "The 8 Best Pubs Within 10 Miles of [Hotel Name]" is building topical authority. When a traveller asks an AI engine about Cotswolds stays with good pubs nearby, that hotel has provided the contextual evidence the AI engine needs to make the recommendation.

6. Add FAQ pages targeting real traveller queries

AI engines are fundamentally question-answering systems. If your website already contains the answer to a traveller's question in a format the AI can extract, you are far more likely to be cited.

Build FAQ pages based on the questions your front desk actually receives:

• "Is there parking at the hotel?"
• "How far is the hotel from the train station?"
• "Are dogs allowed?"
• "Is the restaurant open to non-residents?"
• "Do you have accessible rooms?"
• "What time is check-in?"

Use proper FAQ schema markup (FAQPage and Question schema) so these are machine-readable as well as human-readable. Each answer should be specific: "Free on-site parking for 25 vehicles, plus overflow parking at the municipal car park 200 metres away" rather than "Yes, parking is available."

The goal is to match your content to the exact phrasing travellers use when they ask AI engines for help.

7. Ensure NAP consistency everywhere

NAP stands for name, address, and phone number. AI engines cross-reference your property information across multiple sources. If your hotel's name appears as "The Royal Hotel" on your website, "Royal Hotel Bath" on TripAdvisor, and "The Royal, Bath" on Booking.com, the AI engine has three potentially different entities to reconcile.

Audit every platform where your property appears and ensure the following are identical:

• Property name: use the exact same format everywhere
• Address: same structure, same abbreviations (or lack of them), same postcode
• Phone number: same format, including country code

Check your OTA listings, Google Business Profile, social media accounts, local directory listings, tourism board entries, and wedding venue directories. Inconsistency creates uncertainty for AI models, and uncertainty means they are less likely to confidently recommend your property.

8. Create seasonal and event content

AI queries are often tied to specific times, events, or occasions. Travellers ask "where to stay for the Edinburgh Festival", "Christmas hotel breaks in the Lake District", or "hotel near Cheltenham for Gold Cup week."

Create dedicated content pages for:

• Seasonal stays: "Christmas at [Hotel Name]", "Summer in [Area] - your guide to a July stay"
• Local events: "Where to stay for [local festival/event]", with practical information about dates, distances, and what you offer during the event
• Occasion stays: "Anniversary weekends", "Birthday celebrations", "Proposal packages"

Update these pages annually with fresh dates and details. A page titled "Cheltenham Gold Cup 2026 - Stay at [Hotel Name], 3 Miles from the Racecourse" that includes dates, transport information, and package details is precisely the kind of specific, timely content AI engines surface in response to event-related queries.

9. Monitor and iterate

AI visibility is not a one-time project. The engines update their models, new competitors publish better content, and traveller query patterns shift seasonally.

Build a regular monitoring habit:

• Test your own visibility: ask ChatGPT, Perplexity, and Gemini the queries your ideal guests would use. Note which properties appear and which do not.
• Identify gaps: if you never appear for "dog-friendly hotel [your area]" but you welcome dogs, you have a content gap to fill.
• Track changes over time: document your results monthly. After implementing schema markup or publishing new content, check whether your visibility shifts.
• Study competitors: note which competing properties appear frequently and examine what their websites do differently. Often the answer is simply more detailed, more specific, more structured content.

This is not guesswork. It is a systematic process of testing, identifying gaps, creating content to fill those gaps, and measuring whether it worked.

Where to start

Nine steps can feel like a lot. The most effective starting point is to establish a baseline: understand exactly where your property currently stands across AI engines, which queries surface your hotel and which do not, and where your biggest gaps are.

If you want to see how your business currently performs across AI engines, FindingFin's visibility check shows you exactly where you stand. It audits your property across ChatGPT, Perplexity, and Gemini, identifies the queries where you are visible and the ones where you are missing, and gives you a clear picture of which of these nine steps will have the biggest impact for your specific property.

Start with the data, then work through the steps in order of impact. The hotels that are winning in AI search are not doing anything secret. They are simply making it easy for AI engines to understand, trust, and recommend their property.