AI Visibility Report: Hotels in Madrid, Spain (2024)

Discover which businesses are most visible on ChatGPT, Gemini, and Perplexity in your sector and city.

KEY FINDINGS

A staggering 73% of Madrid hotels appear in only one AI platform, while zero hotels achieve visibility across all four major AI systems. Even luxury leaders like Mandarin Oriental Ritz reach just 2 of 4 platforms, revealing a massive AI visibility gap in Madrid's hospitality sector.

22
22 businesses found
0
Appear in all 4
73%
Only in 1 LLM
#BusinessAppears inScore
1
Mandarin Oriental Ritz, Madrid
Plaza de la Lealtad, 5
GPTGemPerpCla
70/100
2
Rosewood Villa Magna
Paseo de la Castellana, 22
GPTGemPerpCla
70/100
3
Hotel Palacio de los Duques Gran Meliá
Cuesta de Santo Domingo, 5
GPTGemPerpCla
69/100
4
The Westin Palace, Madrid
Plaza de las Cortes, 7
GPTGemPerpCla
59/100
5
Gran Hotel Inglés
Centro de Madrid
GPTGemPerpCla
55/100
6
Relais & Châteaux Hotel Orfila
Calle de Orfila, 6
GPTGemPerpCla
52/100
7
Four Seasons Hotel Madrid
Calle de Sevilla, 3
GPTGemPerpCla
51/100
8
Hotel Urban
Carrera de San Jerónimo, 34
GPTGemPerpCla
46/100
9
SLEEP'N Atocha
Cerca de Atocha
GPTGemPerpCla
46/100
10
NH Collection Madrid Suecia
Gran Vía, 74
GPTGemPerpCla
37/100
11
The Principal Madrid Hotel
Calle Marqués de Valdeiglesias, 1
GPTGemPerpCla
37/100
12
Only YOU Hotel Atocha
Paseo de la Infanta Isabel, 13
GPTGemPerpCla
34/100
13
Hotel URSO & Spa, A Small Luxury Hotel of the World
Calle de Mejía Lequerica, 8
GPTGemPerpCla
33/100
14
Radisson Blu Hotel, Madrid Prado
Calle de Moratín, 52
GPTGemPerpCla
28/100
15
VP Plaza España Design 5* Luxe
Plaza de España, 5
GPTGemPerpCla
28/100
16
Four Seasons Madrid
Centro
GPTGemPerpCla
28/100
17
Hotel Santo Domingo
Calle de la Bolsa, 12
GPTGemPerpCla
24/100
18
Hotel Puerta América Madrid
Avenida de América
GPTGemPerpCla
24/100
19
ME Madrid Reina Victoria
Plaza de Santa Ana, 14
GPTGemPerpCla
19/100
20
Hotel Catalonia Las Cortes
Calle del Prado, 6
GPTGemPerpCla
15/100
21
Hotel Fénix Gran Meliá
Calle de Hermosilla, 2
GPTGemPerpCla
15/100
22
Bless Hotel Madrid
Centro
GPTGemPerpCla
15/100

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INTRODUCTION

The hospitality landscape in Madrid faces a critical visibility challenge as travelers increasingly turn to AI platforms for accommodation recommendations. This report analyzes how 22 hotels in Madrid perform across ChatGPT, Gemini, Perplexity, and Claude—the four dominant AI systems shaping modern travel decisions.

Based on real queries submitted to these platforms, our findings reveal significant disparities in AI visibility that directly impact booking potential. While traditional search engine optimization has long been the focus for hotel marketing professionals, AI recommendation algorithms operate under entirely different principles, creating new blind spots for even established luxury properties.

The data shows that AI platforms rarely agree on hotel recommendations, with luxury giants like Four Seasons Hotel Madrid appearing in only one platform despite their market prominence. For hotel owners and marketing teams in Madrid, understanding these AI visibility patterns is becoming as crucial as traditional SEO, as the shift toward conversational AI search continues to reshape how travelers discover and book accommodations.

ANALYSIS

Distribution by number of AIs

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Frequently Asked Questions

How does AI rank hoteles in Madrid?

AI platforms use different algorithms combining factors like online reputation, review sentiment, booking data, and digital presence. Our data shows each platform weighs these factors differently—ChatGPT favors luxury brands, Gemini balances luxury with boutique options, while Perplexity emphasizes guest experience metrics over traditional prestige indicators.

Why does my business appear in Google but not in ChatGPT?

Google search and AI recommendations operate on fundamentally different systems. While Google indexes web content, AI platforms synthesize information from multiple sources including reviews, booking platforms, and curated databases. A hotel might rank well in Google searches but lack the structured data or reputation signals that AI systems prioritize for recommendations.

How often do AI recommendations for hoteles change?

AI recommendations update based on new data inputs including recent reviews, booking trends, and algorithm refinements. Unlike static SEO rankings, AI suggestions can shift more frequently. Properties should monitor their AI visibility regularly, as a hotel's presence can fluctuate between platforms and disappear from recommendations without traditional ranking warning signals.

What explains the 73% single-platform visibility rate among Madrid hotels?

The high single-platform rate (16 of 22 hotels) reflects how AI systems prioritize different hotel characteristics. Each platform's training data, partnership relationships, and recommendation criteria create unique selection processes. This fragmentation means hotels need platform-specific optimization strategies rather than universal approaches that work across all AI systems.

Why do luxury hotels sometimes rank lower than boutique properties in AI recommendations?

AI algorithms increasingly weigh guest experience metrics, recent reviews, and engagement data over traditional luxury classifications. Gran Hotel Inglés ranking #1 in Perplexity while appearing nowhere else suggests that authentic guest satisfaction and unique positioning can outweigh international brand recognition in AI recommendation systems.

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Source: ChatGPT, Gemini, Perplexity, Claude · Updated: 02/04/2026