Schema markup is the single highest-leverage technical SEO move a hotel can make in 2026, and the vast majority of hospitality sites — even luxury brands spending six figures a year on digital — implement it wrong, implement only one type, or skip it entirely. This is the reference for doing it correctly.
If you've been told that schema is "just for rich snippets in Google results," that's an outdated framing. Schema is now the primary input for AI Overviews, ChatGPT Search citations, Perplexity results, and Google's Knowledge Graph. Every AI search surface parses structured data before it parses prose. A hotel without proper schema is functionally invisible in the answer layer that sits above traditional search.
Here are the five schema types every hotel website should implement, in order of priority, with the specific properties that actually matter for hospitality.
The essentials.
Hotel / LodgingBusiness schema
The core property-identification schema. Goes on the homepage and every top-level room or suite page. Critical properties: name, address (full PostalAddress object, not a string), telephone, priceRange, starRating, checkinTime, checkoutTime, numberOfRooms, amenityFeature (as an array of LocationFeatureSpecification), and geo coordinates. This is what Google uses to populate the hotel card in the Knowledge Panel and what AI systems reference when answering "where is X hotel" or "what amenities does X have."
FAQPage schema
The fastest path to AI-search citations. Every page that answers specific guest questions — check-in process, accessibility, pet policy, cancellation terms, parking, early check-in — should have FAQPage markup with each question in a Question object and each answer in an Answer object. LLMs pull disproportionately from FAQ-marked content because the structure already matches the way they answer: question in, answer out. If you implement only one schema type beyond Hotel, make it this one.
Place schema for nearby attractions
This is the one most hotels skip, and it's the reason some properties dominate "near [landmark]" searches while others don't. On pages that describe nearby attractions, add Place schema for each attraction with name, address, and geographic coordinates. Then reference them in your Hotel schema's containedInPlace or isAccessibleForFree properties. This tells Google and AI systems exactly what you're near, in machine-readable form.
Review and AggregateRating schema
If your property has reviews on your own site (not just OTAs), mark them up. AggregateRating goes on the main hotel schema with ratingValue, reviewCount, and bestRating. Individual Review objects can be nested. This is what drives the star-rating display in search results — the five little gold stars that dramatically lift click-through rates. Google is strict about this one: the reviews must be real, on your domain, and first-party.
Event schema for hosted events
If your property hosts weddings, conferences, wine dinners, or seasonal programming, mark each one up as an Event. Include name, startDate, endDate, location (pointing back to the hotel), and offers. This captures event-based search intent and gets you into Google's Events carousel — a high-visibility surface most hotels don't compete for because they don't know about it.
What to skip.
Two schema types get recommended to hotels by generic SEO agencies and aren't worth the implementation time: Product schema (designed for e-commerce, awkward fit for hotel rooms) and Service schema (too vague to drive any specific SERP feature). Stick to the five above.
Don't put schema in multiple formats on the same page.
Use JSON-LD, nested inside a single <script type="application/ld+json"> tag in the document head. Microdata and RDFa still work technically, but Google's own documentation recommends JSON-LD, and mixing formats creates parsing ambiguity that degrades citation rates.
How to verify it works.
After implementation, run every page type (home, room, rooms hub, about, amenities, neighborhood guide) through Google's Rich Results Test. It will show you exactly which schema types Google detected, which fields are populated, which are missing, and whether your implementation is eligible for SERP features. Any errors here mean you're invisible in that SERP feature until fixed.
Then run the same pages through Schema.org's Schema Validator to catch type-level errors that Google's tool misses.
Finally — and this is the step most hotels skip — actually query the property. Ask ChatGPT "Where is [property name] located and what amenities does it have?" A properly schema'd hotel will get an answer that mirrors the structured data. A hotel without schema will get a generic answer or a hallucinated one.
Schema is the technical foundation under everything else in hotel SEO. Long-form content gets you ranked; schema gets you cited. Both matter, but skipping schema is like publishing a book without an ISBN — the work exists, but the systems that sort books can't find it.
If you're not sure whether your current schema implementation is working, our audit includes a full schema diagnostic — exactly what's present, what's missing, and what AI search surfaces are visible as a result.