Guides

AI Search Optimization for Hotels

Learn how AI assistants recommend hotels — and what you can do about it. Practical, data-backed guides built on 30+ original studies across 1.2M+ AI citations, 6 models, and 25 cities.

The guides

From fundamentals to platform-specific optimization.

Foundational

AI Search for Hotels

The big picture: how hotels get found, recommended, and cited by AI search. A four-step framework — Diagnose, Owned Media, Earned Media, Measure — synthesising 30+ studies.

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Strategy

AI Visibility for Hotels

The complete AEO + GEO guide. How to get recommended by ChatGPT, Google AI Mode, Perplexity, and Gemini — platform mechanics, data sources, 5 pillars, and an 8-step checklist.

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Platform Guide

ChatGPT Hotel Optimization

Inside ChatGPT's hotel search: 12 systems, 5 data providers, and the Sonic classifier. What to optimize and why.

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Platform Guide

Google AI Mode for Hotels

Where hotel clicks go in Google AI Mode. 79% to Google Business Profile, 3.6% to OTAs. Your optimization playbook.

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Reference

Schema Markup for Hotels

The definitive guide to Schema.org for hotels. Hotel, LodgingBusiness, HotelRoom, Reviews, FAQ, and Offer types — with full JSON-LD examples and AI visibility impact.

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Foundational

How AI Retrieval Works

The mechanism under GEO. How answer engines retrieve and quote content: the retrieval pipeline, chunks as the real unit, lexical vs semantic vs hybrid, and the levers that actually move the answer.

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Measurement

Prompt-Track Your Hotel's AI Visibility

The measurement layer. AI hotel rankings look random but are structured — so measure around the variance instead of using a rank tracker: persona × location prompt panels, repeated runs, the is-the-zero-real ladder, and the booking journey.

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Measurement

Does an AI Visibility Score Mean Anything?

Two families of measurement — real measures (logs, traffic, bookings, "how did you hear about us?") and built statistics (prompt-panel mentions, citations, sources) — and how to make them check each other. Why controlled experiments beat "make more content", why grubby tactics like Reddit work but are fragile, and where the methodology goes next.

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Want the raw data?

Every guide is backed by original research. Explore the full studies with datasets, methodology, and detailed findings.

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