Practical guides and analysis to make your hotel visible to AI assistants
Our own site has been bilingual from day one. What building and maintaining hreflang taught us — and why AI systems care about it just as much as Google does.
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TripAdvisor, Google, Booking.com: how AI systems synthesize your guest reviews to answer "what's the best hotel for..." — and how to take back control with the right schema.
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Robots.txt, schema, llms.txt, hreflang, speed — 20 points to check yourself before wondering why your hotel never shows up in AI answers.
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37% of travelers already use AI to plan a trip, but only 2-8% would trust it to pay. What those numbers actually change about your strategy.
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A room/apartment taxonomy, reliable multilingual vocabularies, and clean new English URLs with automatic redirects from the old ones.
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Google's UCP, OpenAI's Agentic Commerce Protocol, Sabre Mosaic, PayPal: a plain-language tour of what now connects AI agents to booking systems.
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Renamed Mixit7 AI Ready, our plugin now serves clean Markdown with YAML front matter to AI agents that ask for it — alongside the classic JSON-LD schema.
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Citation rates swing by up to 615x between AI platforms. Why a single-platform GEO audit isn't enough, and what actually matters differently to each engine.
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A short answer written for AI engines, a source citation, and one consolidated FAQPage schema per page, no matter how many widgets you use.
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The 2026 AI Visibility Index ranks hotel brands by citation share across ChatGPT, Claude, Perplexity and Google AI Overviews. 91% of small hotels don't appear anywhere.
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OpenAI quietly pulled Instant Checkout for travel in March 2026 — too complex. What that does (and doesn't) change for your direct booking channel.
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Accor's ALL app went live inside ChatGPT on January 29; The Hotels Network followed with live booking in March. Independents can't build a native app — here's the lever they actually have.
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Design is about 10% of the real work behind a hotel website. Speed, SEO, schema, hreflang, bot access — the invisible foundations have always mattered most. GEO just added a new layer at the bottom.
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Semrush, Ranketta, Peec.ai track your mentions in AI responses. AIscore audits why you're not appearing. Two different questions, two different tools — and why the audit comes first.
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Average score 38/100, 64% block an AI bot, 9% have a llms.txt. The full data on the real state of AI visibility across the hotel industry.
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Created in 2024 by the founders of Answer.AI, llms.txt is the "robots.txt for AI". Only 10% of websites have adopted it — an opportunity to seize before your competitors do.
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The AIscore story begins with a simple client question we couldn't answer. That gap revealed something important about an entire industry's blind spot.
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40% of travellers now use AI to plan their trips. If your hotel doesn't appear in their answers, you don't exist for them — regardless of your rating or price.
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Chains have technical resources, independents have unique content. Who shows up more in ChatGPT and Perplexity responses? The AIscore data reveals a surprising result.
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Major hotel chains block most AI bots in their robots.txt — and lose direct bookings to OTAs who let them through. Here's how to configure your file to maximise AI visibility.
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GEO is the SEO of the AI era. How to appear in ChatGPT, Perplexity and Gemini responses — and why it's fundamentally different from traditional search optimisation.
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72% of first-page Google results use schema markup — and this trend is accelerating with AI search. Here are all the properties to implement so AI systems truly understand your hotel.
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