From SEO to GEO: Why Your Hotel is Invisible to ChatGPT and Gemini

Have you noticed this shift recently, where your Google impressions are holding steady or even growing, but your click-through rates are starting to slip? 

Moreover, the traffic coming in isn’t converting the way it used to. 

If you're diagnosing it, the usual assumption is whether it's a ranking issue or the competition has become more aggressive. But the data points to AI's impact on the hospitality industry. 

For queries influenced by AI-generated answers, organic CTRs have dropped from 1.76% to 0.61%. Even paid CTRs have seen a sharp decline, from 19.7% to 6.34%. 

So, what you are facing is not performance fluctuation; rather, a cultural shift. Travelers have moved on from traditional search platforms. They are using AI search engines, like ChatGPT and Gemini, to get direct, curated recommendations often without ever clicking through to a website.  

To get back in the game, hotels need to become visible on these AI-powered platforms, and this blog will help leverage the advantages of AI in the hospitality industry. 

What’s the Shift of SEO to GEO All About?

For years, SEO, or Search Engine Optimization, has been all about improving the visibility and ranking of your hotel in search engines. 

However, GEO, or Generative Engine Optimization, is about ensuring that your hotel is being selected, interpreted, and recommended by AI platforms, like ChatGPT and Google Gemini. 

For hotel teams, this introduces a new layer of visibility. SEO still matters as it continues to drive baseline visibility and traffic. And GEO determines whether your hotel shows up at the moment when a traveler or a planner asks for recommendations. 

What GEO Changes: The Decision Happens Before Discovery

Traditionally, separate processes for discovery and evaluation existed within an SEO-driven model for booking hotels. Here’s how the workflow looked: 

• Planners would research potential venues across various sites
• Assess their quality
• Creating a shortlist of possible venues
• Send out RFPs to those venues 

So, the only goal for the hotel was to rank high enough in the results of potential travel search engines to be on the shortlist of venues.

However, with AI-based discovery, the discovery and evaluation process is combined into a single step. 

Planners ask AI tools like ChatGPT, Gemini, and Perplexity to streamline venue and hotel discovery. When a planner enters a well-structured prompt, the AI tools can provide a narrowed set of recommendations based on specific criteria, like location, group size, meeting capabilities, budget, and guest experience. 

The AI platforms are powered by AI models, like GPT, which powers ChatGPT, that does all the hard work. The model interprets the query, evaluates available information, and generates responses based on patterns, relevance, and confidence in the data.

If the AI does not recommend any particular hotel, it is considered to be invisible in the results.

This shift reflects the growing AI impact on the hospitality industry, where decisions are made earlier and faster than ever before.

Is this Shift Already Visible in the Market?

Yes, and the industry reports reflect that. Currently, approximately 60% of North American leisure travelers under the age of 45 use generative AI for their travel planning, and over 80% of business travelers are expected to use generative AI for their travel planning by 2025. 

According to the 2026 Cvent Global Planner Sourcing Report, 84% of event planners believe AI will have a moderate-to-major impact on the meetings and events industry in 2026, and 36% are already using AI to create and optimize RFPs. 

Around 70% of event planners source venues online, but the discovery process is shifting towards conversational AI and large language models (LLMs).

Supporting this shift, Graham Pope, Vice President of International at Cvent, notes that “Hotels need to rethink how they present information online.” He adds that hotels that fail to adapt risk losing market share to competitors with stronger digital content strategies.

Why Your Hotel is Not Being Recommended on AI Platforms?

The reasons for low visibility on AI platforms are gaps in content and digital presence. If your content isn’t structured to answer specific, decision-level questions, platforms like ChatGPT and Google Gemini are less likely to surface your property in recommendations.

Here are some reasons why your hotel is not visible to AI platforms, and hence it is not being recommended: 

1. Limited visibility in AI retrieval 

When hotel or property information is not easily accessible due to missing structured data, weak internal linking, or content being blocked behind scripts/logins, it becomes difficult for AI platforms to include it in the initial pool of options. 

2. Weak content clarity and positioning 

When your content is unstructured, broadly positioned, or filled with generic descriptions, it becomes difficult for AI systems to clearly interpret what your hotel offers and when it should be recommended. 

3. Inconsistent brand description across platforms 

Differences in how your hotel is described across your website, OTAs, and third-party listings can create ambiguity. This makes it difficult for AI models to form a clear and reliable understanding of the property. 

4. Low confidence from fragmented signals 

AI platforms struggle to validate the information if your hotel’s presence across OTAs, directories, and review platforms is limited or inconsistent. It reduces the likelihood of being recommended. 

What Gets Hotels and Venues Recommended on AI Platforms?

What most hotels are getting wrong nowadays is the EEAT principle. Experience, Expertise, Authoritativeness, and Trustworthiness are the trust signals that AI models rely upon when selecting which information to surface and recommend.

Here are some things that you can consider implementing to boost your visibility across AI platforms: 

1. Build FAQ Pages AI Can Actually Use 

It is important to build a deep and detailed FAQ page for meetings and events. The FAQ page should not contain any surface-level information; it should be focused on what event planners are actually asking AI platforms, like: 

• What is the maximum capacity by room layout (theatre, classroom, banquet)?
• What AV is included vs. rented?
• Can room layouts be adjusted in real time without disrupting adjacent sessions?
• What is attribution, and how do you handle it?
• What are the cut-off timelines for final headcount, F&B changes, and setup revisions?
• What are the restrictions or costs associated with bringing in external production vendors?

When your FAQ content pages address operational and decision-level questions, they directly strengthen your EEAT signals. This level of clarity and depth makes your content easier to extract, validate, and prioritize, improving your chances of being included in recommendations. 

Tip: Structuring these FAQs with formats like FAQ schema makes it easier for AI systems to refer to and reuse your answers. 

2. Put Real Expertise on the Page  

AI visibility is all about how credible your information appears when evaluated across sources. This means putting up your team front and center through content. For example, your director of events explains how a property can handle a 200-person hybrid conference, or your catering manager writes about managing complex dietary requirements for a broad dinner. 

The content should go beyond standard descriptions and include insights, tips, and operational thinking that are typically not found in generic hotel listings. This will reflect real experience, and AI platforms are more likely to refer to original, experience-led perspectives, as it adds new, high-confidence signals rather than repeating what already exists. 

Also, it is recommended to shift your content strategy from product-selling to people-centric selling. Instead of telling that your hotel has a ballroom with 300-person capacity and standard AV setup, tell how your space and hotel amenities can help event planners pull off something extraordinary. 

3. Create Differentiated Localized Content 

AI search engines respond to conversational queries, and not just keywords. So, the event planners and travelers are asking conversational questions, like which hotel is best suited for a 2-day leadership offsite with breakout rooms with easy access for outstation attendees, instead of the best hotels for corporate offsites or meeting hotels with breakout rooms. 

AI systems rely on detailed local content as it matches user intent, includes local context, and clearly differentiates services. So, as a hotel, it is important to focus to create: 

• Unique local landing pages built around specific use cases or micro locations
• Detailed service descriptions explain how they function in real-life scenarios
• Location-specific offerings, like travel time from key transit points, nearby venues for offsite activities, and ease of movement for large groups.
• Clear differentiators that make your hotel a better fit, such as faster room turnovers or flexible space configurations

The core idea for pushing local content is that it answers “why this particular hotel is right for this event or purpose.” 

4. Structure Your Data So AI Can Understand It

If you haven’t structured the content on your website, then it is likely to be readable by humans, but not fully interpretable for AI systems. 

AI platforms do not browse your website the way humans do. They extract, organize, and recombine information. If your data isn’t structured clearly, it becomes difficult to interpret and even harder to recommend. 

As per a Reddit User, just by restructuring the existing content, one of the clients went from having zero AI mentions to showing up in 40% of the relevant queries. 

It is important to implement schema markup, which acts as a universal translator for your website. It provides a standardized format that provides explicit context to AI models, telling them exactly what a piece of content is all about. There are over 800 types of schema, but here are some important ones that hotels should use: 

• Hotel schema
• FAQ schema
• Event schema
• Product schema
• Review schema
• LocalBusiness schema
• Breadcrumb schema 

Then, use a proper content hierarchy, like using H1, H2, and H3, in headings as your guidepoints, use the BLUF (Bottom Line Up Front) method, where a summary answers the main question upfront, and use tables, bullets, and numbered lists for better clarity. 

5. Keep Your Information Consistent Everywhere It Appears 

AI systems refer to multiple sources, like Google Business Profile, major OTAs, review platforms, and MICE-focused directories, like Cvent Supplier Network and Vendor Marketplace, to pull information about your hotel. They use the combined data to build a clear and verified understanding of your property. 

If details such as ballroom capacity, amenities, packages and services, and event spaces vary or are incomplete across different information sources, then AI confidence drops. The property is systematically excluded from the recommendation set. 

It is important to ensure: 

• Standardized key information about room capacities, amenities, and policies, everywhere.
• Updates in hotel property are reflected simultaneously on your website, OTAs, and directories. 

6. Build Authority Through Consistent, Recognizable Signals 

To get recommended by AI systems, your hotel needs to be recognized across the wider ecosystem. AI platforms prioritize sources with strong topical authority. If your content consistently focuses on posting about specific topics, like meetings and events, corporate stays, or large-scale conferences, the AI system begins to associate your hotel with those use cases. 

External validation strengthens this further. When your hotel is cited across credible industry sources, such as MICE directories, hospitality publications, or event platforms, like Cvent Supplier Network and Vendor Marketplace, it reinforces your authority. 

Your content strategy should focus on getting featured in industry-relevant platforms and authoritative publications, and earn backlinks to high-value content such as guides, case studies, or event playbooks. 

How to Move Forward with GEO? 

Here’s a quick checklist that your team can refer to increase your AI visibility: 

1. Understand your current visibility in AI platforms.
2. Audit and implement GEO across your content.
3. Get your hotel accurately listed across credible directories and sourcing platforms, like Cvent Supplier Network and Vendor Marketplace.
4. Build citations across authoritative industry sources by contributing insights, publishing case studies, and partnering on industry reports.
5. Respond quickly to warm inquiries with personalized quotes, using AI-powered custom proposal tools and virtual tours.
6. Collaborate with planners using 3D event diagramming to build accurate, to-scale diagrams within minutes.  

Hotels can even integrate an intelligent chatbot function on their website, like CventIQ, to turn passive visits into active conversations. It allows the planners to visualize your space as per their vision in real-time. This increases your chances of getting RFPs. Also, CventIQ can help your team to respond to the RFPs with personalized responses quickly. 

Adapting to the New Era of Hotel Discovery 

SEO to GEO is changing the way hospitality works and how properties should be marketed. It is no longer about being discovered with multiple options but rather being chosen from a few options. 

Properties that will be able to adapt to these changes will receive a larger share of qualified demand, convert more efficiently, and maximize revenue for each booking. As the AI in the hospitality industry continues to evolve, hotels must adapt their strategies to remain competitive.

With the right stack of tools, your hotel visibility is set to scale quickly. This shift is already playing out in the industry. Read how Jordan Tourism Board helped hotels showcase their properties with Cvent to international planners and win more qualified RFPs.