GEO

The short answer Yes — AI travel planners recommend different hotels for different travelers, and the differences are large enough to decide who gets booked. The most comprehensive public dataset on the question — Nicolas Sitter’s AI Hotel Landscape index (19,579 AI runs, 2,500 unique prompts, 25 cities, 8 traveler personas, 9 hotel types, 245,046 cited sources; data collected December 2025–January 2026, updated June 2026) — shows the same models surface a different competitive set for a family than for a solo business traveler, and route those personas to very different places to book. ...

The short answer Yes — AI travel planning has gone multilingual, and an English-only GEO strategy now misses most of the conversation. In September 2026, OpenAI’s Signals consumer-usage data confirmed that more than half of active ChatGPT users on consumer plans predominantly use a language other than English, with Spanish, Portuguese and Arabic the most common. The fastest relative growth since a July 2023 baseline has come from Africa and Asia, and in June 2026 the fastest-growing languages with over one million users were Uzbek, Kazakh and Burmese. ...

The short answer Yes — a hotel that opened (or rebranded) in 2026 is structurally invisible to AI travel planners, and it will stay that way until the property forces itself into the live data layer the models actually read. Frontier models freeze their training data months before release: the GPT-5.6 family’s knowledge cutoff is February 16, 2026 (RankScope, August 2026), GPT-6’s is April 30, 2026 for a September 3, 2026 release (ALLMO, September 2026), and legacy GPT-4o still ends at October 2023. A property that welcomed its first guest in June did not exist when any of these datasets was compiled. Unless the assistant is grounding its answer in live retrieval — Google Business Profile, OTAs, review platforms, news — a brand-new hotel cannot be recommended, because as far as the model knows, the address is an empty lot. ...

The short answer Yes — AI travel planners can see your photos now, and what they see feeds your recommendations. Through 2025 and 2026, Google quietly rebuilt travel discovery around images: Gemini in Maps recognizes places from travelers’ screenshots, Ask Maps (announced 12 March 2026) answers natural-language planning questions using Maps photos and attributes, Lens reads landmarks in seven-plus languages, and since 27 August 2026 AI Mode in Search accepts image input and completes hotel bookings through integrated partners with Google Pay handling payment. ...

The short answer In Google AI Mode, Google keeps the click — and that is quietly the best news for direct bookings in years. The largest public measurement of hotel results inside Google’s AI Mode (Nicolas Sitter, Google AI Mode Hotel Study 2026, published February 3, 2026) analyzed 4,000 queries across 8 cities — Paris, London, New York, Barcelona, Berlin, Lisbon, Vienna and Bordeaux — capturing 6,130 interactive hotel links and 84,329 source citations. Of every hotel link a traveler can click in an AI Mode answer, 79.1% lands on a Google Business Profile, 16.6% goes directly to the hotel website, and just 3.6% goes to an OTA. Because roughly 97% of those Business Profiles then link onward to the hotel, the study estimates an effective direct-access rate of about 93%. ...

The short answer AI travel planners cannot recommend accessible rooms that have no published data behind them — and the industry is finally building the data layer to route around hotels that stay vague. In March 2026, accessible-travel platform Wheel the World closed an $11 million Series A led by Enable Ventures, with participation from Kayyak Ventures, Miles Partnership and — notably — former Expedia CEO Erik Blachford and former Booking.com CEO Gillian Tans (PhocusWire, March 2026). The money funds three things: expanding verified accessibility data with destination marketing organizations, building AI-powered trip planning, and distributing that data to travel platforms and AI tools. “If we consider AI as an engine, the fuel of that engine is data,” says Wheel the World co-founder Alvaro Silberstein. ...

The short answer The OTAs are not being disintermediated by AI travel planners. They are buying and building their way into owning the AI booking layer instead. Expedia Group acquired Layla, the Berlin-based conversational AI trip planner, in July 2026 (Skift, July 31, 2026). Booking Holdings is running at least five consumer-facing AI experiments, with Priceline’s revamped agentic assistant Penny cited by executives as the standout early performer on satisfaction, engagement and conversion (Skift, September 14, 2026). OpenAI, after testing direct transactions, stepped back in March 2026 and refocused ChatGPT on discovery — routing live pricing and checkout through partner apps, starting with Expedia and Booking.com. And Google’s AI Mode hotel booking launched on August 27, 2026 with ten partners: five chains, and five OTAs. ...

The short answer When a traveler asks ChatGPT, Gemini or Perplexity for “things to do” in your destination, the AI almost certainly cannot see your Viator or GetYourGuide listing — because both marketplaces keep those pages out of AI crawlers. Viator’s robots policy, current as of February 2026, excludes product listings, pricing and availability, and user-generated content including reviews, ratings and Q&A from AI crawling (as documented in a September 2026 marketplace comparison by Uncompromised Travel). GetYourGuide’s policy, updated July 2026, opens its destination and attraction pages to assistants but keeps listings out — and explicitly asks AI assistants to send travelers to the live page for prices. ...

The short answer Only 10.6% of hotel websites have what a large 2026 crawl considers “good” schema markup — and the median hotel scores exactly zero out of 100. Nicolas Sitter’s Hotel Schema.org Adoption Study (March 2026, updated June 2026) parsed 105,002 reachable hotel homepages out of 121,425 scanned across seven countries and found that 36.3% ship no structured data at all, while 41.1% of the hotels that do have JSON-LD use the wrong entity type — Organization or LocalBusiness instead of Hotel. ...

The short answer Only 38% of AI-assisted hotel bookings complete on the hotel’s own channel. 44% land on an OTA, and 8% complete inside the AI tool itself — according to an NPS Prism and Dynata study of more than 2,300 US travelers who used AI to plan or book a trip (2026). The mechanism is structural, not accidental: AI travel planners build their shortlist of two or three hotels from what they can see from the outside — price and availability — and your loyalty program is precisely the kind of asset that pays off only inside your app, after the choice is already made. Four in ten travelers who booked through AI say it changed which hotel they picked. The scale is no longer hypothetical: Phocuswright (March 2026) puts 56% of active US travelers using AI for planning, booking or in-trip assistance in the previous twelve months, and Adobe Analytics measured AI-referred traffic to US travel sites up 194% year over year in May 2026. The fix is not abandoning loyalty — it is making loyalty legible to machines. With Google’s agentic hotel booking now live in AI Mode (Skift, August 27, 2026) and loyalty pricing entering the answer layer, hotels have a narrow window to do exactly that. ...