Article 50 of the EU AI Act, in force since August 2026, requires hotels using AI-generated visuals, videos, and chatbots to meet specific disclosure and transparency obligations.
Luxury hoteliers can maintain brand consistency while personalizing the booking journey using three formats: embedded inliners, automatic content swaps, and branded overlay layers.
AI systems on Booking.com, Google, and Tripadvisor now use guest reviews to answer queries and drive bookings, making specific, detailed reviews more valuable than star ratings.
The percentage is the wrong question. Strategy is the right one. Throwing 6% at marketing without a plan wastes 6%. Spending 2% with clear priorities and discipline beats it every time. Here's what matters more than the number: Where are travelers actually finding you today?
I’d encourage hoteliers to approach budgeting from a slightly different direction. Every reservation that comes from an OTA costs 15% to 18%… or more. And too many hotels receive too large a share of their revenues from OTAs. Consider a very conservative example.
Let's take a step back. Before diving into traditional budget allocation, given travelers' growing openness to adopting AI-enabled services (over 70%, according to Accenture's 2026 study), hotel properties should start considering Agentic AI as a primary customer acquisition channel.What does customer acquisition via Agentic AI look like?
An opinion piece exploring how storytelling builds brand identity and emotional loyalty in hospitality, with practical homework frameworks and a student video assignment as a teaching model.
CruVu by Lodging Interactive collects private in-stay guest feedback to give hotel GMs real-time service recovery alerts, department recognition tools, and AI-assisted coaching to improve public review scores.
Shiji Horizon's Natalie Kimball breaks down Google's AI Mode booking launch and what it means for hotel distribution, direct booking strategy, and content accuracy.
A practical guide to hotel displacement analysis covering data inputs, ancillary revenue, demand forecasting, and how Lighthouse's AI tool Ernest automates the process from hours to minutes.
Only 6% of hotels appear consistently in AI-generated recommendations, with 82% of AI-cited content sourced from OTAs and editorial media, putting independent and unbranded hotels at severe visibility risk.
As AI assistants drive hotel discovery but not trust, the author argues hotel websites must shift from acquisition tools to verification tools, starting with transparent all-in pricing that matches OTA displays.
Research from SBS Swiss Business School and MIT suggests AI tool reliance is eroding critical thinking in junior sales reps, with the author proposing a "Protected Reps Framework" to preserve core selling skills.
A supplier argues wooden key cards can serve as meaningful physical touchpoints for adventure-focused hotels, doubling as keepsakes engraved with trip details.
As AI-generated content floods the internet, hospitality and travel brands face a trust crisis where authentic human experience and perspective are becoming the primary drivers of consumer confidence and purchasing decisions.
Revinate webinar featuring Suncadia Resort's Director of Reservations on how reservation teams can improve call handling to capture guest data, build rapport, and convert phone inquiries into direct bookings.
The inaugural HoSS, held in London on 3-4 September, brought 200+ hospitality marketing leaders from 14 countries to address the gap between social media's commercial expectations and current strategy and capability.
Google has stripped live pricing, date filters, and budget tags from its EU hotel search unit to comply with the DMA, leaving hotels with only a name, link, and address in the box built for them.
With 94% of hotels failing to appear in AI search results, venues must adopt structured, detail-rich content strategies to stay discoverable to event planners using tools like ChatGPT and Claude.
A study of 148 luxury hotels finds Forbes Travel Guide ratings and Michelin Keys explain 55% of AI recommendation frequency, while website schema and llms.txt files show near-zero correlation.
The author argues hotels must reframe corporate sales around outcomes like productivity, flexibility, and frictionless travel, not just room rates and availability.
Cendyn joins Google's closed beta for Search Campaigns for Travel, combining live ARI feeds and first-party guest data with Google's AI to improve hotel search ad performance ahead of general availability.