§·01 — Technical Authority
Hotel schema markup.
AI cannot recommend what it cannot understand. Schema is the translation layer between raw hotel information and the machine-readable intelligence answer engines trust.
§·02 — The schema stack
Eight Schema.org types every hotel should deploy.
N°01
Hotel
Core property entity — name, type, address, brand, star rating.
N°02
LodgingBusiness
Operating business layer — hours, contact, check-in, payment options.
N°03
Room / Suite
Per-room inventory — occupancy, bed type, amenity feature.
N°04
AmenityFeature
Pool, spa, restaurant, parking, beach access — each as a discrete entity.
N°05
FAQPage
Question and answer pairs AI cites verbatim in generated answers.
N°06
Review / AggregateRating
Only when real reviews exist — never fabricated.
N°07
BreadcrumbList
Site hierarchy AI uses to understand page context.
N°08
Offer
Rate plans, packages, and the Free AI Visibility Audit.
Schema audit
The Free AI Visibility Audit includes a full schema review for your property.
§·03 — Schema FAQs
Technical questions hotel teams ask before deployment.
- What schema markup should hotels use? +
- At minimum, every hotel website should deploy Hotel schema for the property itself, LodgingBusiness schema for the operating layer, Room or Suite schema for inventory, AmenityFeature schema for facilities, FAQPage schema for the questions guests actually ask, BreadcrumbList for site hierarchy, and Offer schema for rate plans. Review and AggregateRating schema should be added only when genuine reviews exist. Together these give AI systems the structured signals they need to confidently understand and recommend the property.
- What is Hotel Schema? +
- Hotel schema is a Schema.org type that describes a lodging property in a way search engines and AI systems can parse. It captures the property's name, address, geographic coordinates, brand, star rating, amenities, check-in and check-out times, and connection to a parent group. When implemented correctly, it removes the ambiguity that causes AI assistants to confuse one property with another or omit it from a shortlist entirely.
- What is LodgingBusiness Schema? +
- LodgingBusiness is the Schema.org type for the operating business behind a lodging property. It adds layers Hotel schema does not — opening hours, contact channels, payment methods accepted, and the relationship between the business and the physical property. Used alongside Hotel schema, it gives AI a complete picture of who runs the property and how to transact with it directly.
- Should hotel websites use FAQ schema? +
- Yes. FAQPage schema is one of the highest-leverage tags a hotel can deploy because AI assistants frequently cite FAQ answers verbatim when responding to traveler questions. Well-written FAQs about parking, family policies, pet rules, dining, and direct booking benefits are often what gets a hotel named in an AI response. The questions should be the ones real guests ask, and the answers should be 80–150 words in natural language.
- What is Breadcrumb schema? +
- BreadcrumbList schema tells AI systems and search engines how a page sits inside the site's hierarchy — for example, Home › Resorts › Algarve › Casa del Mar. It helps AI understand page context, builds topical authority across the site, and improves the way pages are summarized inside generated answers.
- How often should schema be updated? +
- Schema should be reviewed every time a material property attribute changes — new amenities, renovated rooms, updated policies, new rate plans, or new locations for a group. At minimum, audit the full schema stack twice a year. Stale or inaccurate schema is worse than no schema, because AI systems propagate the error into every answer.