Why the next battle for hotel visibility will be fought beyond Google
For years, hotel digital marketing followed a familiar path: build a good website, improve its search-engine ranking, maintain accurate listings and collect positive reviews—particularly on Google and the major travel platforms.
That playbook is not disappearing. But it is no longer enough.
During a recent discussion with Tarun Goyal, CEO of Simplotel, we explored how artificial intelligence is changing the way travellers search for, compare and select hotels. The conversation raised an important question for every hotelier:
When a guest asks an AI assistant to recommend a hotel, what information will it use—and which source will it trust?
The answer is more complicated than many hotels may expect.
From search results to a single recommendation
Traditional search engines normally present travellers with a list of links, advertisements, maps and review scores. Guests then compare the options themselves.
AI assistants can shorten this process. A traveller may ask:
“Which beachfront hotel in Khao Lak is best for a German family with young children, good food and easy airport transfers?”
Instead of reviewing ten websites, the traveller may receive a short summary and only a few recommendations. Increasingly, the AI assistant becomes the first filter in the booking journey.
This changes the challenge for hotels. It is no longer only about appearing high in a list of search results. The hotel must also be understood, trusted and selected by the AI system producing the answer.
Different AI assistants may consult different sources
One of the most valuable conclusions from our conversation was that there is no single, universal “AI search index.” ChatGPT, Gemini, Claude and other assistants may use different search systems, partners, connected services and information sources. The sources used can also vary depending on the question, location and format of the answer.
An AI recommendation might be influenced by a combination of:
- The hotel’s official website
- Google Business Profile information
- Online travel agencies
- Review platforms such as Google, Tripadvisor, Yelp or HolidayCheck
- Destination websites and travel publications
- Forums and community discussions, including Reddit
- Videos, social media posts and other third-party content
This means a hotel cannot assume that its strongest review profile will always be the one shown or prioritised.
An example shared on LinkedIn illustrates the risk. In a small test of 15 vacation-rental companies appearing in ChatGPT local results, the author reported that Google ratings were displayed for 11 companies, while Yelp ratings appeared for four. One business reportedly had a 4.7 Google rating based on more than 600 reviews, but ChatGPT displayed its much weaker 2.9 Yelp rating instead.
This was a limited, informal experiment—not proof of a fixed ranking formula. Nevertheless, it demonstrates the commercial risk clearly: AI may surface a source that the hotel has largely ignored.
That possibility is becoming more relevant as platforms deepen their integrations. Yelp announced an integration with ChatGPT in August 2026 that brings Yelp business details, reviews, ratings and photos into the ChatGPT experience, alongside reservation and waitlist functions. ChatGPT’s own guidance also confirms that its web search can use current online information and location to produce local results. Exactly which source appears for an individual hotel, however, can vary.
Your website is still the foundation—but consistency builds trust
The encouraging part of our discussion was that many good SEO practices remain valuable in the AI era. A technically sound website, clear page structure, accurate titles, canonical tags and sitemaps still help search systems discover and understand hotel content.
However, AI discovery places even greater importance on clear, specific and consistent information.
If a hotel website describes the property as family-friendly, but recent reviews repeatedly mention that there are few facilities for children, the AI has conflicting signals. If an OTA lists airport transfers but the official website does not, the AI may be uncertain. If room sizes, dining hours, pet policies or accessibility details differ across platforms, the hotel becomes harder to recommend confidently.
The strongest content is not simply promotional. It answers real guest questions with precise facts.
During the Simplotel discussion, frequently asked questions emerged as a practical opportunity. Hotels already possess a valuable source of content in their reservation emails, chatbot conversations, call-centre questions and OTA messages. These reveal what guests genuinely want to know: airport-transfer costs, connecting rooms, balconies, dietary options, cancellation conditions, accessibility, early arrival and many other details.
Turning these recurring questions into accurate website content can help guests while also giving AI systems clearer information to interpret.
Reputation management is becoming distribution management
Hotels traditionally viewed reviews mainly as a reputation and conversion issue. In AI-assisted search, reviews may also influence whether a hotel enters the traveller’s shortlist at all.
This creates a new connection between reputation management and distribution. A hotel may have excellent rates, availability and website content, yet still lose visibility if an AI assistant encounters negative or outdated information on another platform.
The solution is not to chase every new channel or attempt to manipulate online conversations. AI platforms and their preferred sources will continue to change. Hotels need a disciplined system that protects the accuracy and consistency of their digital presence while allowing them to adapt.
Three recommendations for hotels
1. Audit your complete digital footprint—not only Google and Tripadvisor
Search for the hotel across the platforms and markets relevant to its guests. Review Google, Tripadvisor, Yelp, HolidayCheck, OTAs, destination sites and important regional forums. Check the hotel name, address, category, facilities, photos, policies and review scores.
Then test several AI assistants using realistic guest questions. Do not ask only for your hotel by name. Ask the questions a prospective guest would use, such as “best family resort near Khao Lak beach” or “quiet Phuket hotel with accessible rooms.” Record whether the hotel appears, how it is described and which sources are cited.
Repeat this exercise regularly, because the results and sources can change.
2. Build one accurate source of truth and make every channel consistent
Create a master hotel fact sheet covering room names and sizes, facilities, dining, transfers, accessibility, family services, policies, opening hours and other important details. Use it to update the official website, Google Business Profile, OTA content and review-platform listings.
Add helpful FAQs to the most relevant website pages rather than hiding every answer on one generic FAQ page. A dining page should answer dining questions; a room page should clearly state room features; and the location page should explain realistic transfer times and transport options.
AI can help identify missing or conflicting information, but hotel staff should approve every published fact. A confident AI-generated error can quickly become a guest-expectation problem.
3. Manage reviews and third-party mentions as part of distribution
Monitor more than the platform currently producing the most bookings. Claim neglected profiles, correct outdated information, respond professionally to reviews and identify repeated complaints that contradict the hotel’s marketing promises.
Hotels should also contribute useful, authentic destination knowledge where their target guests seek advice. This may include regional travel forums, YouTube or Reddit, depending on the source market. The goal should be to answer real questions and add expertise—not to disguise advertising as an independent recommendation.
The goal is not to “trick” AI
Generative Engine Optimisation, or GEO, is quickly becoming a popular term. Yet the most sustainable strategy is surprisingly straightforward: make the hotel easy to understand, ensure its information is accurate everywhere and build a reputation that supports the promises made on its own website.
Hotels cannot control exactly which source an AI assistant will choose. They can control whether the information it finds is current, consistent and credible.
The next generation of travellers may not begin with a Google search or visit ten hotel websites. They may simply ask an AI agent where to stay. The hotels that prepare now will have a better chance of being included in that answer—and ultimately in the guest’s booking decision.
Sources
- Yelp, “Yelp Brings Reservations and Waitlist to ChatGPT,” 10 August 2026: https://blog.yelp.com/news/yelp-chatgpt-integration/
- OpenAI Help Center, “Searching the web with ChatGPT”: https://help.openai.com/articles/9237897-chatgpt-search
- Informal LinkedIn experiment supplied by the author (https://lnkd.in/p/gWyR6fJu); the sample results should be attributed as anecdotal rather than presented as a general ChatGPT ranking rule.
