How ChatGPT Chooses Which Hotels to Recommend

As the hospitality industry increasingly embraces technology, understanding how AI tools, like ChatGPT, influence hotel recommendations becomes essential for independent and mid-segment hotel owners. The proliferation of AI-driven platforms means that consumers are turning to these tools for insights and recommendations when planning their stays. However, many hotels struggle to grasp how these algorithms work and, more importantly, how they can optimise their visibility within these systems. In this article, we will delve into ChatGPT’s hotel recommendation process, exploring factors like source signals, entity authority, review aggregation, and website citability. Additionally, we will provide practical steps to enhance your hotel’s visibility in the age of AI search.

Understanding ChatGPT’s Recommendation Process

To comprehend how ChatGPT makes hotel recommendations, it’s crucial to grasp the foundational elements of its architecture. ChatGPT, developed by OpenAI, operates on a model trained on a diverse range of internet text, but it does not browse the web in real-time unless explicitly designed to do so (like in its browsing mode). Instead, it relies on its training data, which includes information up until October 2021, along with any real-time data it can access when browsing.

Source Signals

One of the primary factors that influence ChatGPT’s recommendations is the source signals it receives. These signals can be thought of as the data points that inform the model about the quality and relevance of hotels. Source signals include:

User Queries: The specific questions or phrases users input into the chat interface provide context for the model. For example, a user might ask, “What are the best hotels in London for business travellers?” This specificity helps ChatGPT tailor its recommendations based on the context of the query.
Location Data: ChatGPT uses geographical signals to determine the most relevant hotels. For instance, if a user specifies a city or neighbourhood, the AI will filter its recommendations based on proximity, enhancing the likelihood that users will find suitable accommodations.
User Intent: Understanding the user’s intent is a critical aspect of source signals. Are they looking for luxury, budget, family-friendly, or business-oriented options? The AI tries to decipher this intent to deliver tailored suggestions.

For hotels, optimising for these source signals means ensuring that your online presence clearly communicates your unique offerings. This includes describing your hotel’s location, amenities, and target audience in a way that aligns with the types of queries users are likely to make.

Entity Authority

Entity authority refers to how well-known and respected a hotel is within its market. ChatGPT’s ability to assess entity authority hinges on various factors:

Brand Recognition: Established brands with a strong online presence are more likely to be recommended. This is because they have built trust and authority in the eyes of both users and AI systems. However, independent hotels can compete by carving out niche markets and cultivating an exceptional reputation.
Online Reviews: The quantity and quality of reviews significantly impact entity authority. Positive reviews on platforms like TripAdvisor, Google, and Booking.com signal to ChatGPT that a hotel is a reliable option. Conversely, negative reviews can detract from a hotel’s standing, making it less likely to be recommended.
Social Media Presence: Engagement and visibility on social media platforms help enhance a hotel’s authority. Regular posts, interactions with followers, and user-generated content can improve brand recognition, making it more likely that ChatGPT will associate the hotel with positive user experiences.

To bolster entity authority, hotels should actively manage their online reputation. Encourage satisfied guests to leave positive reviews, respond to feedback promptly, and maintain an active presence on social media. Engaging with customers not only improves relationships but also signals to AI algorithms that your hotel is a reputable choice.

Review Aggregation

Review aggregation is a vital part of how ChatGPT formulates recommendations. The model synthesises insights from various online reviews to gauge the overall sentiment and quality of a hotel. Key aspects of review aggregation include:

Sentiment Analysis: ChatGPT utilises natural language processing to analyse the sentiments expressed in reviews. This means that not only the number of reviews but also their content matters. A hotel with a few glowing reviews may be favoured over one with numerous lukewarm responses.
Diversity of Reviews: A wide range of reviews covering different aspects of the hotel experience can enhance its visibility. Reviews that mention specific features—like cleanliness, service quality, or amenities—provide valuable data for AI algorithms.
Timeliness of Reviews: Recent reviews carry more weight than older ones. This trend reflects a hotel’s current state, which is crucial for travellers seeking up-to-date information. Regularly encouraging guests to leave recent feedback can improve your hotel’s standing.

For hotels aiming to enhance their review aggregation, consider implementing a post-stay follow-up system. This could involve sending out an email encouraging guests to share their experiences. Additionally, highlight positive reviews on your website and social media to attract more attention.

Website Citability

Website citability refers to how easy it is for ChatGPT and other AI tools to reference and cite your hotel’s website. A well-structured, informative, and accessible website plays a significant role in how AI models perceive and recommend hotels. Important factors include:

SEO Best Practices: Implementing effective SEO strategies is crucial. This involves optimising your website’s content for relevant keywords—such as “boutique hotel in Edinburgh” or “family-friendly accommodation in London.” Properly structured websites with clear metadata help ChatGPT understand what your hotel offers.
Content Quality: High-quality, relevant content enhances citability. This could include blog posts about local attractions, detailed descriptions of amenities, and guides to the surrounding area. The more informative and engaging your content, the more likely it is to be cited by AI tools.
Mobile Optimisation: With an increasing number of users searching for hotels via mobile devices, a mobile-optimised website is essential. Google prioritises mobile-friendly sites, which means that ChatGPT is also likely to favour hotels with responsive designs.
Structured Data Markup: Employing structured data (Schema markup/)) can help search engines and AI models understand your hotel’s offerings better. This could include details about location, pricing, and amenities. Structured data not only makes your website more accessible to AI but can also enhance your visibility in search results.

By focusing on website citability, hotels can enhance their chances of being recommended by ChatGPT and other AI-driven platforms. Regularly update your website and utilise various content formats to keep it fresh and engaging.

Practical Steps to Improve ChatGPT Visibility

Now that we’ve explored the various factors influencing ChatGPT’s recommendations, let’s discuss actionable steps that hotel owners can take to improve their visibility.

Optimise for local SEO

Local SEO is a cornerstone of visibility for hotels. Ensure that your hotel appears prominently in local search results by optimising your Google My Business profile. This includes verifying your location, updating business hours, and encouraging guests to leave reviews. Additionally, consider creating local content that highlights nearby attractions or events, which can enhance your hotel’s relevance in local searches.

Leverage User-Generated Content

Encourage guests to share their experiences on social media and review platforms. User-generated content not only enhances your hotel’s credibility but also provides additional source signals for AI algorithms. Consider running contests or promotions that incentivise guests to share their stays online.

Monitor and Respond to Reviews

Regularly monitor reviews across various platforms, responding to both positive and negative feedback. Engaging with customers shows that you value their opinions and can lead to improved sentiment analysis from AI models.

Create High-Quality Content

Invest in a robust content strategy that includes blog posts, videos, and interactive content. Tailor this content to address the specific needs and interests of your target audience. For instance, if your hotel caters to business travellers, consider creating guides on local conference venues or tips for productive work trips.

Stay Updated with AI Trends

As AI technologies evolve, staying informed about their developments is crucial. Regularly read industry blogs and participate in webinars to understand how AI tools are changing the landscape of hotel recommendations. This knowledge can help you adapt your strategies accordingly.

Collaborate with Influencers

Partnering with local influencers can increase your hotel’s visibility. Influencers often have dedicated followings that trust their recommendations. A well-executed collaboration can lead to increased online engagement and visibility in AI-driven platforms.

Utilise Data Analytics

Utilising data analytics tools to assess your website’s performance can provide valuable insights. Understanding which pages attract the most traffic and where visitors drop off can help you refine your website and content strategy, ultimately improving your citability.

Focus on technical SEO

Don’t overlook the technical aspects of your website. Ensure that it loads quickly, is free from broken links, and has a clear site structure. Technical SEO is crucial for enhancing user experience, which in turn can positively influence your rankings in AI-driven environments.

Develop Relationships with OTAs

While direct bookings are valuable, maintaining relationships with Online Travel Agencies (OTAs) can enhance your visibility. Ensure that your hotel’s information is accurate across various platforms and consider leveraging OTA marketing opportunities to reach a broader audience.

Conclusion

Understanding how ChatGPT and similar AI tools recommend hotels is crucial for staying competitive in today’s hospitality market. By recognising the importance of source signals, entity authority, review aggregation, and website citability, hotels can take practical steps to enhance their visibility.

Optimising for local SEO, leveraging user-generated content, and focusing on high-quality, relevant content are just a few strategies that can significantly impact your hotel’s performance in AI-driven recommendations.

As AI continues to shape the future of hotel discovery, it’s essential to stay informed and adaptable. For those looking to enhance their visibility in this new landscape, consider taking advantage of Publicus’s free AI visibility Check. This comprehensive assessment will provide insights into your current standing and actionable steps to improve your hotel’s AI presence, ensuring you remain a top choice for travellers in the future. Explore how you can make the most of your online presence today.