SEO for hotels in AI search
SEO for hotels now has to win visibility in 2 places, on Google's results page and on the short list a guest gets from ChatGPT or Google AI Overviews. A hotel whose own pages answer the guest's question gets named in that answer and earns the booking direct, without paying an online travel agency (OTA) commission. Before you compare agencies or tools, ask ChatGPT 5 questions your guests would ask about your town and note which hotels it names.
AI visibility for hotels
AI visibility is how often an assistant accurately describes your hotel by name and cites your pages when guests ask about your destination. Adobe data quoted by Cloudbeds shows that AI referrals to travel sites rose 1,700% between July 2023 and February 2024. In a Future Partners survey, 31.9% of American travelers had used AI tools to plan a trip in the past 12 months.
Greetwell found that 55% of AI travel users had run into at least one wrong recommendation, so accurate descriptions matter for visibility too. When an assistant gets your parking or your pool hours wrong, the guest blames you. Check what assistants say about you as well as whether they mention you at all.
AI visibility is how often an assistant accurately describes your hotel by name and cites your pages when guests ask about your destination.
SEO services hotels need
Hotels need technical fixes and content guests search for. Signals from outside the site and tracking that ties each page to bookings complete the 4 kinds of work. The real choice is who does that work. The table below compares the usual options using 2025 survey prices.
| Option | Typical cost | Covers AI assistants | Suits |
|---|---|---|---|
| In-house marketer | Salary plus tools | Only if they track prompts | Groups with a team already |
| General SEO agency | $3,209 a month on average (Ahrefs survey) | Rarely | Hotels that only need Google rankings |
| Specialist hospitality marketing agency | $2,500 to $6,000 monthly for travel SEO (Loopex) | Varies by agency | Independents and small groups |
| SEO and GEO platform with services | Quoted per property | Yes, by design | Hotels that sell to guests in several languages |
What to ask a hotel marketing agency
Ask which prompts they track and in which assistants, and ask them to show a report from last month. Any agency that can't show mentions and citations for named competitor hotels is still selling 2019 hotel SEO. Then ask who writes the content for each of your source markets.
Which agency gets hotels recommended by ChatGPT
The agency that gets you recommended is the one that tracks ChatGPT answers week by week and builds the pages and outside signals those answers draw on. Any agency can claim that, so judge it by the evidence. Ask for prompt-level data from your market, compared with your competitors, before you sign.
Keywords for direct bookings
The keywords that bring direct bookings describe a stay, with a place and a need attached. Guests now type or say things like "best hotel in X for families" and "hotels near Y with parking". They also ask "is hotel X worth it" or "where to stay in Z in November". A search for the bare city name still goes to the OTAs, whose ranking budgets you can't match.
So build the pages those questions call for. Create area guides and room pages that list amenities, alongside pages for seasonal events. Add "Things to do nearby" pages and FAQs. Comparison pages belong on the same list. For vacation rentals, "cabin with hot tub near X" converts better than "X rentals". Check your keyword list against your booking engine data and drop any term that never led to a stay.
The keywords that bring direct bookings describe a stay, with a place and a need attached.
How assistants pick hotels
Assistants search the web and check that a property exists before they blend what the sources say into one answer to pick hotels. Hotelrank's analysis found ChatGPT pulls from Google search in 94% of hotel queries and checks entities against Google Places. OTAs dominate the sources. In Nicolas Sitter's AI Hotel Landscape 2026, which covered 19,579 AI runs, GPT 5.2 cited booking.com in 53.9% of runs.
A Cloudbeds study reported that 13.6% of citations in hotel queries came from hotel websites. When your page answers "is there parking" more clearly than the OTA listing does, the assistant can send the guest straight to you.
Assistants search the web and check that a property exists before they blend what the sources say into one answer to pick hotels.
Review sources assistants trust
Assistants trust Tripadvisor and Google reviews more than anything a hotel says about itself. They give the big OTAs that same advantage over a hotel's own claims. Hotelrank found Tripadvisor cited in 86% of Google AI Mode hotel queries and in 95.5% of Perplexity hotel answers. Google reviews feed AI Overviews, while Perplexity leans on Tripadvisor.
Review volume and recency matter. Reviews that mention specific things matter too. A review that names the quiet rooms or the walk to the station gives the assistant words it can repeat. Ask departing guests for reviews on Google and Tripadvisor, and reply to them so your answers become part of the record.
Assistants trust Tripadvisor and Google reviews more than anything a hotel says about itself.
Local signals for bookings
Matching entity facts and structured data are local signals to optimise for AI. A complete Google Business Profile matters too. Hotelrank reports that 79% of hotel links in Google AI Mode go to Google Business Profiles. When the address or check-in times on your profile differ from those on your website or OTA listings, the assistant loses confidence and picks a rival.
Add Hotel and LodgingBusiness schema to your site so machines can read your rooms and amenities. Then keep the facts identical everywhere. Mentions in travel media help too, because they confirm you're a real place worth naming. Check your profile categories and photos every quarter.
Matching entity facts and structured data are local signals to optimise for AI.
OTA dependence as risk
Relying on OTAs costs you margin and leaves the guest relationship with someone else. TeaCode puts Booking.com commission at 15% to 20% in 2026, with Expedia at 15% to 30%. "We have to fight for a booking every day," Booking CEO Glenn Fogel told Stratechery in 2025.
SiteMinder's data shows hotel websites earned US$516 per booking in 2025, against US$312 through OTAs. The aim is to shift a share of bookings back to your own site while keeping the OTAs for the demand they still bring.
Relying on OTAs costs you margin and leaves the guest relationship with someone else.
Measuring hotel SEO
Measure hotel SEO by the direct-booking enquiries each page brings in, alongside how often assistants name you. A page can rank well and still bring no bookings.
Snoika runs tracking prompts every week in each market language, in both ChatGPT and Google AI Overviews. It records mentions and citations. It also tracks sentiment and share of voice against the hotels you compete with. On your own site, Google Analytics 4 (GA4) reports direct-booking enquiries per page. Check both sets of numbers together. If mentions rise and enquiries don't, the pages being cited need clearer booking paths.
Measure hotel SEO by the direct-booking enquiries each page brings in, alongside how often assistants name you.
Is hotel SEO worth it
Hotel SEO pays off when commission savings and higher direct booking values cover the monthly fee within a season or two. Divide the fee by the commission you'd save on each booking to find how many direct stays you need. Then judge each provider by whether it solves the problems below.
| Hotel problem | Step that solves it |
|---|---|
| Assistants don't mention the hotel | Audit plus AI visibility tracking in ChatGPT and Google AI Overviews |
| No pages match the questions guests ask | A researched content map that becomes area, room and event pages |
| Guests come from several countries | Content written in the languages of each source market (135+ available) |
| OTAs and review sites outrank you | Off-site strategies for reviews and media mentions |
| Nobody knows which pages earn bookings | Reporting with lead tracking |
Snoika covers each of these steps for hotels and publishes the content on your own domain. Its human review layer sits on top of the automated workflows. A hotel that only needs Google rankings in one language gets what it needs from a cheaper general agency.
Getting started in hotel SEO
Establish a baseline by checking which guest prompts name your hotel today and which name your competitors. Then check where each answer gets its facts. Use that baseline to identify gaps in content and reviews. Check entity data against it too, so you pay for the work that closes your gap. Rerun the same prompts after 8 weeks and look for movement. SEO for hotels now runs on prompts as well as keywords, and Snoika tracks both and builds the pages and signals that close the gap. To see where your property stands, get a free audit.
Establish a baseline by checking which guest prompts name your hotel today and which name your competitors.
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FAQ
Target searches that combine a destination with a guest's needs, such as “family hotel in [town]” or “hotel near [station] with parking”. Check these terms against booking engine data to identify which ones lead to stays.
AI assistants search online sources and check that a property exists before combining information into a recommendation. Hotel pages that answer specific guest questions give assistants information they can cite, while reviews and travel listings provide outside evidence.
Keep your address and check-in times consistent across your website and external listings. Complete your local business profile, and add structured hotel information to your website so assistants can read details about rooms and amenities.
Compare providers of seo for hotels using reports that show which guest questions produce hotel mentions and source citations. Look for weekly tracking in your market languages and comparisons with competing properties. Claims about recommendations aren't a substitute for that evidence.
Check the source cited in the answer and compare its details with your website. Correct outdated information on pages or listings you control, then repeat the same guest questions to see whether the description changes.