The landscape of digital marketing is experiencing its most profound disruption in decades. For hotel operators, the traditional playbooks of Search Engine Optimization (SEO) and paid advertising are no longer enough to guarantee online discovery. As conversational AI platforms and search engine overviews rewrite the rules of discovery, hotel brands must adapt to stay visible.

The core message for the hospitality sector is clear: search behavior has changed more in the last 18 months than in the preceding 18 years. Because of this rapid evolution, marketing resources must pivot to address how artificial intelligence interprets and recommends hospitality businesses.

The Death of Linear Search

For years, hotel discovery followed a predictable pattern. Users entered generic, broad keywords into Google, and marketers optimized their digital presence to capture impressions, clicks, and bookings on page one.

Today, that linear model is gone. Search engine result pages are hyper-personalized and context-dependent, shifting based on a user’s location, browsing history, and contextual factors. Furthermore, users are abandoning short keyword phrases in favor of highly specific, conversational prompts.

This shift is heavily driven by the explosive growth of AI tools like ChatGPT, which has surged to approximately 1 billion weekly active users. As a result, traditional platforms are losing their absolute monopoly on search traffic.

The Rise of Zero-Click Searches

The introduction of AI Overviews (formerly known as the Search Generative Experience) on traditional search engines has fundamentally suppressed website traffic.

• Pervasiveness: Roughly 50% of all online queries now trigger an AI summary.
• Reduced Click-Throughs: Result pages featuring an AI Overview experience 61% fewer clicks because the interface directly answers the user’s query.
• Zero-Click Dominance: Currently, around 60% of all web searches result in a “zero-click” action, completely reshaping the digital booking funnel.

A direct comparison highlights this change. A traditional search for “hotels in York with a rooftop” yields a cluttered feed of up to 28 conflicting options across ads, map packs, and organic links. The same prompt entered into an AI search engine filters out the noise immediately, accurately identifying that only three properties fit those exact criteria. AI search streamlines the process, delivering exact solutions to consumers much faster.

Understanding Your “AI Shadow”

As AI search proliferates, the traditional hotel website is losing its status as the primary driver of purchase decisions. Instead, users arrive at property websites much later in the purchasing funnel, using the site merely as a tool for final validation.

Before a potential guest ever reaches your official website, they encounter your brand’s AI Shadow.

The AI Shadow is an aggregated, unowned digital interpretation of your brand. It blends your online reputation, unique selling points, and external critiques into a single profile generated by artificial intelligence. This shadow serves as a gatekeeper, generating summaries, star ratings, and even lists of pros and cons regarding your property’s service and amenities.

Because more potential customers will interact with your AI Shadow than your actual website, how your business is described across the entirety of the internet matters more than your search rankings or website aesthetics.

The CARBS Framework for AI Visibility

To help hotels gain recommendations from AI search engines and positively influence their AI Shadow, marketers can implement a specialized strategic methodology called the CARBS framework:

1. Customer Clarity

AI models rely heavily on clear, distinct categorization. Generic buzzwords such as luxury, boutique, or premium location blend together under machine analysis. Hotels must define themselves clearly by specific use cases and primary guest types (e.g., family-friendly, couple-led, or culinary-focused).

• Actionable Step: Be able to define your property’s exact purpose in a single sentence (e.g., “This hotel is best for couples looking to hike near the Cotswolds.”). Do not hesitate to explicitly outline who your hotel is not for, as this helps AI categorize your ideal market more confidently.

2. Authority Mentions

AI models build confidence by pulling from validated third-party sources. The system evaluates digital PR, media coverage, regional press releases, and reputable industry guidebooks.

• Actionable Step: Focus resources on digital PR to send reliable external signals to AI databases. Once earned, amplify that external press coverage across your owned channels like blogs and Google Business Profiles.

3. Reviews

AI processes customer feedback mathematically, searching for unresolved operational patterns rather than just viewing a baseline rating. A 4.5-star average with an unaddressed recurring issue can be far more damaging to AI visibility than a 4.2-star rating with proactive management.

• Actionable Step: Prompt guests for specific feedback rather than generic reviews. When responding to repetitive critiques online (such as upcoming room updates), clearly state your action plans and target dates. Repeating key upgrade phrases trains the AI to recognize that past operational weaknesses are actively being resolved.

4. Brand Consistency

When an AI engine cross-checks corporate information across the web, discrepancies cause its system confidence to plummet. In short: Inconsistency equals uncertainty, and uncertain brands do not get recommended.

• Actionable Step: Audit and align your corporate Name, Address, and Phone number (NAP data) across all key online directories. Ensure your core brand description matches perfectly across your top digital touchpoints, including your website, Booking.com, TripAdvisor, and social media channels.

5. Strengthen Machine Readability

If an artificial intelligence model cannot easily pass through and digest your website data, it will not offer your business as a trusted recommendation.

• Actionable Step: Implement structured schema markup across your entire web architecture to organize code for machine processing. Ensure technical errors, missing metadata, and broken sitemaps are completely resolved. Fixing hidden technical issues can drive substantial, rapid gains in search presence.

A 90-Day Roadmap to AI Readiness

For hotel properties launching an AI visibility strategy from scratch, a prioritized action list can yield measurable improvements:

1. Deploy Pervasive FAQs: Integrate structured Frequently Asked Questions across nearly every page of your website. Focus content on practical, operational details that guests regularly ask about (e.g., “Which specific rooms accommodate families?” or “What makes your breakfast unique?”).
2. Audit Your AI Shadow: Query dominant AI models directly to analyze how your property is portrayed. Run specific diagnostic prompts such as, “Tell me the pros and cons of staying at [Your Hotel Name]” to discover and offset negative sentiment patterns.
3. Optimize Technical Infrastructure: Upload an LLMs.txt file to your root web directory to allow AI web crawlers to scan your data efficiently. Utilize structured markup schema tools and resolve visibility anchors like missing alt text and unoptimized XML sitemaps to clear a path for machine indexing.

heavily in new technologies and exploring how AI can improve commercial performance. Yet, according to Daniel Hulme, many businesses are still asking the wrong questions.

Rather than seeing AI as another tool for producing reports, dashboards or predictions, Daniel argues that its real value lies in helping organisations make better decisions. It’s a subtle but important shift in thinking, one that has the potential to change how businesses approach everything from revenue management to guest experience.

In his keynote at Global Revenue Forum London 2025, Daniel explores what intelligence really is, why organisations often misunderstand AI, and how leaders can prepare for a future where humans and machines work together in very different ways.