Written from data we collected ourselves.
Articles on how travellers actually find hotels: what AI assistants answer, who owns the search results, and where demand is forming. Every claim traces back to research we ran and published.
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Six Places Your Hotel's Direct Bookings Leak to OTAs
OTA commission is not one cost. It is six leaks along the guest path, each with a number, each in a place your PMS, RMS and rate shopper cannot see.
Can You Trust AI Hotel Answers? We Checked 3,100 Facts
We fact-checked 3,100 facts in 414 AI answers about 46 real hotels. 97% of facts were right, yet 1 in 4 answers contained a wrong claim. The full study.
Can AI Read Your Hotel Website? What a 231-Page Crawl Found
We crawled a five-star resort's site the way an AI assistant does. On the sampled pages, none of the content existed in the raw HTML.
Do Your OTA Listings Decide What AI Says About You?
AI assistants read your OTA listings as source material. We checked one resort across 27 factual dimensions and found contradictions on half of them.
Hotel Keyword Clusters: Which Searches Are Worth Winning
Most hotel keyword lists are inherited and never audited. Five verdicts turn a list of terms into a set of decisions you can act on.
Marketing Intelligence vs Revenue Management for Hotels
Revenue management optimises the demand you already receive. Marketing intelligence decides whether you receive it. Where the line sits.
Hotel SEO in the AI Era: What Still Matters and What Stopped
Rank tracking alone stopped being enough. Being readable without JavaScript became decisive. An honest account of what changed in hotel SEO and what didn't.
Measuring Hotel AI Visibility: Four Metrics, Three Mistakes
Four measures that mean something: mention rate, citation rate, share of answer, persona coverage. And the three mistakes that void a score.
llms.txt for Hotels: Does It Actually Do Anything?
What the file is, what the evidence says about whether AI assistants read it, and a hotel-specific template if you decide to publish one.
Social Share of Voice for Hotels
Follower counts are inherited. Share of engagement is earned. What to measure instead, and the collection traps that corrupt social benchmarks.
Tour Operators Are Not OTAs
Most hotel tooling files tour operators, airlines and editorial sites under one label. That simplification produces a tidy chart and a wrong strategy.
Who Owns the AI Answer Surface in Hotel Search?
When an AI assistant recommends a hotel it credits a source. We looked at whose domains those sources belong to. Hotels are rarely the answer.
Who Actually Owns Your Hotel's Search Results?
We mapped every domain ranking across one resort's unbranded keyword set. Wikipedia led it, wedding sites took four of the top twelve.
Your Review Score Isn't Comparable to Your Competitor's
Two hotels with nearly identical review scores can be measured on completely different platform baskets. Most league tables treat them as equal anyway.
AI Destination Visibility: How AI Ranks the Mediterranean
We asked ChatGPT and Google AI Mode 520 holiday questions in five languages. Three countries dominate, and AI's favourite destination is 1.9× its real demand.
Who Gets the Click in AI Hotel Recommendations? New Data
We traced 13,680 links inside real AI hotel answers. Hotels' own websites got under 9%. Who owns the click layer, and how to fight for it.
AI Hotel Visibility Isn't Winner-Take-All: 3,380-Hotel Study
Everyone assumes AI concentrates hotel visibility into a few winners. Data on 3,380 recommended hotels says the opposite: wide, shallow, open to independents.
AI Hotel Visibility: Mallorca vs Algarve vs Rhodes Compared
Same Google rank, different AI payoff: top-3 hotels get named by AI 56% of the time in the Algarve, 22% in Mallorca. Market-by-market AI visibility data.
ChatGPT vs Google AI Hotel Recommendations: 1-in-5 Overlap
We asked ChatGPT and Google's AI Mode the same 695 hotel questions. They agreed on one hotel in five. The overlap data, and why AI visibility is two games.
Can Google Searches Predict Tourist Arrivals? We Tested It
We tested whether Google search demand predicts tourist arrivals in Cyprus, Greece and Spain. Not the way most people use it, and where it earns its keep.
Hotel Demand Forecasting Is Broken: Search vs Arrivals 2026
Search volume, the input behind most hotel demand forecasting, fell 8–31% across UK, German, Swedish and Polish markets as arrivals rose. What to read now.
Hotel Source Market Analysis: What Each Country Searches For
167,000 travel searches, four source markets: Poles type “all inclusive”, Brits type villas, Germans type beaches. How to market to each source market.
What Hotel Marketing Intelligence Is, and What It Is Not
Hotel marketing intelligence, defined: how it differs from market intelligence, rank trackers and rate shoppers, and why connected signals beat dashboards.
SEO for AI Visibility: What Google Rank Buys in AI Answers
We matched Google rankings against real AI answers for thousands of hotels. Rankings drive AI mentions, not citations. Here's the data and the playbook.
Can a Hotel Outrank Booking.com? What the Data Says
We mapped thousands of hotel SERPs. Here's where hotels genuinely beat Booking.com, and where fighting for rank is wasted budget. Data-backed answer inside.
Hotel Brand Defence: How OTAs Win Your Name on Google
OTAs bid on your hotel's name and outrank you with domain authority, turning guests who searched for YOU into 15–25% commissions. The defence playbook.
GEO for Hotels: Each AI Engine Needs a Different Playbook
GEO for hotels is not SEO with new words. Data-backed guide: how AI engines pick hotels, why each engine needs a different playbook, and where to start.
How to Get Your Hotel Recommended by ChatGPT: The Data
What actually makes ChatGPT recommend a hotel? Data from 720+ AI answer captures, plus the 7 moves that work, and the mistake most hotels make first.
Hotel Demand 2026: Cyprus vs Greece, Two Opposite Summers
Arrivals, advance bookings, seat capacity and occupancy: how demand intelligence reveals two opposite summers for hotels in Cyprus and Greece.
Own Your Demand: Hoteliers' One Real Problem
152 independent European hoteliers named four problems: pricing, low season, new guests, direct bookings. They're one problem: you don't own your demand.
Cyprus AI Visibility Study 2026: Which Hotels AI Names
We analysed 720 AI answers across ChatGPT and Google AI Mode for Paphos, Limassol and Ayia Napa. Hotels get recommended; they just don't own the answer.
Who Gets Recommended When a Traveller Asks AI Where to Stay?
We ran 700 traveller questions through Google AI Mode, ChatGPT and Google Search across three markets to see who AI recommends, and who owns the answer.
Does Google Rank Predict AI Hotel Visibility? 695 Searches
How much Google rank carries into ChatGPT and Google AI Mode answers across 695 searches, which sources AI actually cites, and what gets a hotel recommended.
What hotels must get right to win each AI persona
We analysed 71,401 AI hotel recommendations across 30 European cities: the language AI uses for Couple, Family, Business, Ultra Luxury and Wellness personas.
The Language AI Uses to Describe Luxury Hotels Across Europe
We analysed 1.3 million words of AI hotel recommendations across 8 European markets: how ChatGPT and Perplexity describe luxury hotels, and what drives it.
Hotel Discovery Got Reshuffled. Most Hotels Haven’t Noticed.
SiteMinder's Changing Traveller Report 2026, from 12,000 travellers: OTAs overtook Google as the starting point, while word of mouth, brands and AI all grew.
How OTA Ranking Algorithms Actually Work
Booking.com is not “mostly about price”. OTA ranking systems are machine-learning engines optimising for platform revenue, and the same signals shape AI.
Hotels Hate OTA Commissions, but Skip the One Fix That Works
Everyone blames 15–25% OTA fees. Cloudbeds 2026 data shows OTAs drive 63%+ of independent hotel bookings. The fix isn’t another rate deal. It’s visibility.
What You Can Actually Learn From an AI Visibility Report
Tharro's AI Visibility Report runs your hotel through hundreds of structured queries on Perplexity, OpenAI and Gemini and measures what comes back.
Your Hotel Is Invisible to AI. Here's What the Data Shows.
An AI visibility audit of a Madrid hotel shows a pattern most properties share: strong branded recognition, near-zero discovery visibility. What to do next.
Hotel Keyword Playbook: SEO vs Paid Search, Decided by Data
The UK to Paphos search corridor for a 5-star resort in Chlorakas: 1,824 keywords, 17,863 organic SERP results, 317 paid ad placements. Where budget leaks.
Which Markets Deliver ROI for Spanish Hotels? A New Index
We analysed 700 million search signals and 85.7 million arrivals to reveal which source markets actually convert searches into real trips for Spanish hotels.
When Do Travellers Search? UK vs Cyprus Booking Patterns
Three years of search data reveal two fundamentally different planning cycles in the UK and Cyprus, with consequences for pricing, marketing and inventory.
AI-Driven Search: A Guide for Small Hotel Owners
AI tools like ChatGPT can answer travellers' questions directly, sometimes without a click. What that means for small hotels, and how to get closer to guests.
Cyprus travel puzzle: fewer searches, more tourists
Online search interest for Cyprus accommodation fell in 2025, yet tourist arrivals grew strongly. What's driving the gap, and what it means for hotels.
Google Ads for Small Hotels: Drive Direct Bookings
Every direct booking counts for a small hotel. Practical, data-driven Google Ads tactics to bring guests to your own website and cut OTA commission.
What Is an AI Visibility Score? The KPI Hotels Can't Ignore
Most hoteliers have no idea whether they're visible when AI recommends hotels. The AI Visibility Score: a metric for what matters in 2026, and how to read it.
Cyprus Market Outlook 2025
Cyprus opened 2025 with record tourism performance. The trends, opportunities and strategic insights for hotels and tourism businesses on the island.
SEO for Small Hotels: Why It Matters and How It Drives Sales
SEO is the work of making your hotel more visible to people searching on Google. Why it matters for small hotels, and how it drives direct bookings.
20,000+ AI Hotel Recommendations Analysed: What We Learned
20,000+ AI prompts across 30 major European cities: hotels capture 47% of booking authority, OTAs 53%, despite appearing in just 16% of mentions. Why.
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