The digital landscape has shifted. For two decades, hoteliers have optimized their websites for the human eye and the Google algorithm. But today, there is a new guest in the room: the AI agent. Platforms like ChatGPT, Gemini, and Perplexity do not browse the web in the traditional sense; they ingest and synthesize data to provide a single, curated recommendation.
If your digital strategy treats AI like a fancy version of a search engine, you are likely already invisible to it. To stay relevant, your property must move beyond being discoverable and become machine-readable. Based on groundbreaking insights from Brad Brewer and the recent Destination AI Forum, we have identified five critical channels where your property is either winning the recommendation game or fading into digital obscurity.
Here is the breakdown of the Five Channels of AI Visibility for your team:
1 Apps (The Direct Pipeline)
This is the most advanced channel. By connecting your hotel’s live data (rates, availability, and room attributes) through the Model Context Protocol (MCP), you essentially plug your hotel directly into the AI.
The Benefit: When a guest asks to book, the AI pulls from your app or data feed rather than an OTA. This ensures the pricing is accurate and the booking stays direct.
2 Listings (The Fact Sheet)
AI models heavily rely on structured data from aggregators. If your information is inconsistent, the AI may deprioritize you.
The Strategy: Ensure your Google Places ID, coordinates, and basic amenities are perfectly synced. AI looks for certainty in data; the more consistent your listings are, the more trustworthy you appear to the model.
3 Citations (The Proof of Presence)
Citations are mentions of your property across the digital landscape that verify you are who you say you are. This includes mentions in local guides, Best of lists, and travel blogs.
The Strategy: Traditional SEO still matters here. The more often your property is cited as a high-quality option in a specific niche (e.g., Best boutique hotel in Napa for golfers), the more likely the AI is to include you in a conversational recommendation.
4 Sources (The Knowledge Base)
While citations are mentions, Sources are the deep, authoritative texts the AI uses to learn about the world. This includes Wikipedia, major trade press (like Inside Hospitality Solutions), and long-form articles.
The Strategy: High-quality PR and authoritative content are your best friends here. AI models prioritize information from sites with high domain authority. If a major travel publication writes about your new renovation, that article becomes a primary source for the AI’s knowledge of your property.
5 Paid Placements (The Future “Ad” Model)
We aren’t quite there yet, but the panel was clear: paid sponsored results are coming to AI interfaces.
The Strategy: Keep a close eye on this space. Much as in the early days of Google AdWords, those who understand how to bid for conversational placement first will likely capture the market at a lower cost before the field consolidates.
The Hidden Channel: LinkedIn
One of the most surprising insights from the forum was the power of LinkedIn. Because AI models treat LinkedIn as a highly authoritative, factual source, posting detailed updates about your property’s amenities, events, and specific features on your company page actually feeds the AI.
Pro-Tip: Treat your LinkedIn page like a factual news wire. Factual, high-frequency posts help AI agents discover real-time details about your property that might not be on your website yet.
Audit your AI Visibility Today
If you are looking to audit your AI visibility, the IHS team has put together this checklist for independent hotel and resort owners and suppliers to the hospitality industry.
This checklist is designed specifically for independent hoteliers and small businesses that don’t have a massive corporate IT department but can move faster than the big brands.
AI search isn’t a set-it-and-forget-it task. It’s about ensuring that when a machine reads your property, it finds facts, not fluff.
Phase 1: The Factual Foundation (Listings & Citations)
AI needs to be 100% certain that your data is accurate before it will risk recommending you to a user.
Audit your NAP (Name, Address, Phone): Check that your property’s name, address, and phone number are written exactly the same on Google Business Profile, TripAdvisor, and Yelp. Look for any minor differences (like St. vs Street), as even these can reduce a model’s confidence score.
Claim your Google Places ID: This is the unique social security number for your location. Make sure it is embedded in your website’s schema markup.
Update Amenities with Specificity: Move beyond Free Wi-Fi. Use High-speed fiber-optic Wi-Fi (100Mbps) or EV Charging Station (Level 2 Tesla). AI surfaces properties based on these specific semantic details.
Phase 2: Building Sources (The Knowledge Base)
AI models learn from authoritative text. If you aren’t mentioned in high-authority sources, you don’t exist in the model’s memory.
Answer the Un-Googleable Questions: Create a FAQ page on your site that answers hyper-specific guest questions (e.g., “Which rooms have a view of the lighthouse?” or “Does the elevator fit a double stroller?”).
Secure Local Citations: Research local tourism boards, chamber of commerce websites, and regional event blogs relevant to your area. Submit your property details to these platforms, or reach out to request a feature or mention.
Pitch to Industry Press: Appearing in a trade publication like Inside Hospitality Solutions or a regional travel magazine provides a high-authority source that AI models prioritize during training.
Phase 3: The LinkedIn News Wire Strategy
LinkedIn is an open, high-authority channel that feeds directly into AI answer assembly.
Post Factual Updates Weekly: Treat your LinkedIn page like a factual news feed. Post about new menu items, renovated suites, or seasonal hours.
Use Descriptive Captions: Instead of We love our lobby, try Our lobby features original 1920s architecture, a wood-burning fireplace, and seating for 40 guests. This is machine-readable gold.
Phase 4: Technical Readiness (Future-Proofing)
This prepares you for the Execution phase of AI booking.
Check Your Schema Markup: Use a tool like Schema.org to ensure your website has Hotel and Offer markup. This tells AI agents exactly what your rates and room types are, without them having to guess from your paragraphs.
Investigate MCP-Ready Vendors: When contacting your PMS or booking engine provider, ask specifically whether they offer or plan to offer a Model Context Protocol (MCP) or API that provides real-time inventory data to AI agents. Document the provider’s responses for future planning.
Establish a Baseline: Perform a Ghost Search. Ask ChatGPT or Perplexity: Find a boutique hotel in [Your City] that is good for [Your Specific Niche]. If you don’t appear, look at which competitor does and audit their Sources and Citations.
The IHS Takeaway
For the independent owner, specificity is your superpower. While big brands are stuck with generic corporate descriptions, you can provide the deep, factual details that AI models love to surface.
FAQ
1. What is the Model Context Protocol (MCP) and why should I care? Think of MCP as a direct data “umbilical cord” between your hotel and an AI model. Instead of the AI guessing your rates or availability by scraping old web pages (which often leads it to recommend an OTA), MCP provides real-time, first-party data. This ensures your pricing is accurate and encourages the AI to provide a direct booking link.
2. Why is LinkedIn considered a “hidden channel” for AI visibility? AI models treat LinkedIn as a high-authority, factual news wire. When you post specific details about your lobby architecture, new menu items, or exact room features on your company page, AI agents “ingest” that information as current, verified facts. It is often the fastest way to update an AI’s knowledge of your property.
3. Can independent hotels really beat large brands in AI recommendations? Absolutely. Specificity is an independent owner’s superpower. Large brands often use generic, templated descriptions across their portfolios. As an independent, you can provide hyper-local, granular facts—like the exact height of your parking garage or which floor has the best sunset view. AI rewards this “semantic depth” with higher recommendation confidence.
Do you have any industry knowledge, experience, or news you’d like to share? Why not send us your press releases, survey results, news, and articles? We will review them and may publish them on the IHS website. Just complete the contact form and get in touch.