AI Visibility Report: Restaurants in Madrid, Spain (2026)

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

Key Findings

An alarming 73% of Madrid restaurants appear in only one AI platform, while zero establishments achieve universal visibility across all four major AI systems. DiverXO dominates with the highest score (85) and appears in three platforms, yet even this top performer fails to secure complete AI coverage, highlighting a critical visibility gap affecting the entire industry.

30
30 businesses found
0
Appear in all 4
73%
Only in 1 LLM
#BusinessAppears inScore
1
DiverXO
NH Eurobuilding, Calle de Padre Damián, 23
GPTGemPerpCla
85/100
2
Coque
Calle del Marqués del Riscal, 11, Madrid
GPTGemPerpCla
69/100
3
Sobrino de Botín
Calle Cuchilleros, 17
GPTGemPerpCla
63/100
4
DSTAgE
Calle de Regueros, 8, Madrid
GPTGemPerpCla
63/100
5
Rosi La Loca
Madrid centro
GPTGemPerpCla
55/100
6
El Club Allard
Calle de Ferraz, 2
GPTGemPerpCla
52/100
7
Casa Lucio
Cava Baja, 35, La Latina
GPTGemPerpCla
51/100
8
Ramón Freixa Madrid
Calle de Claudio Coello, 67, Madrid (dentro del Hotel Único)
GPTGemPerpCla
50/100
9
Smoked Room
Paseo de la Castellana, 49, Madrid
GPTGemPerpCla
48/100
10
Paco Roncero Restaurante
Calle de la Orellana, 17
GPTGemPerpCla
46/100
11
StreetXO
Calle de Serrano, 52
GPTGemPerpCla
42/100
12
Deessa
Plaza de la Lealtad, 5, Madrid (dentro del Mandarin Oriental Ritz)
GPTGemPerpCla
42/100
13
La Vaca y La Huerta
Calle de Vallehermoso, 79
GPTGemPerpCla
37/100
14
Ramón Freixa Atelier
Madrid
GPTGemPerpCla
37/100
15
Santceloni
Paseo de la Castellana, 57, Chamberí
GPTGemPerpCla
37/100
16
Casa Mono
Calle de José Abascal, 8
GPTGemPerpCla
33/100
17
Saddle
Calle de Amador de los Ríos, 6, Madrid
GPTGemPerpCla
33/100
18
Desde 1911
Madrid
GPTGemPerpCla
33/100
19
Casa Revuelta
Calle Latoneros, 3, Centro
GPTGemPerpCla
33/100
20
Ramen Kagura
Calle de Vallehermoso, 79
GPTGemPerpCla
28/100
21
Taberna El Sur
Calle de la Torrecilla del Leal, 12
GPTGemPerpCla
24/100
22
La Tasquita de Enfrente
Calle de la Ballesta, 6, Madrid
GPTGemPerpCla
24/100
23
OSA
Madrid
GPTGemPerpCla
24/100
24
Lhardy
Carrera de San Jerónimo, 8, Centro
GPTGemPerpCla
24/100
25
Horcher
Calle de Alfonso XII, 6, Madrid
GPTGemPerpCla
19/100
26
Gofio
Madrid
GPTGemPerpCla
19/100
27
Nakeima
Calle de Vallehermoso, 79
GPTGemPerpCla
15/100
28
Taberna Pedraza
Calle de Recoletos, 11, Madrid
GPTGemPerpCla
15/100
29
Pabú
Madrid
GPTGemPerpCla
15/100
30
La Bola
Calle Bola, 5, Centro
GPTGemPerpCla
15/100

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Introduction

Madrid's restaurant owners face a fundamental shift in how customers discover dining options. As consumers increasingly turn to AI assistants like ChatGPT, Gemini, Perplexity, and Claude for restaurant recommendations, traditional SEO strategies are becoming insufficient. This report analyzes real queries submitted to all four major AI platforms to reveal which Madrid restaurants achieve AI visibility and which remain invisible.

Our analysis of 30 unique restaurants shows a fragmented landscape where consistent AI visibility is nearly impossible to achieve. Unlike Google search results, AI recommendations vary dramatically between platforms, creating new challenges for restaurant marketing. Understanding these patterns is crucial for restaurateurs who want to capture the growing segment of diners who rely on AI for restaurant discovery, particularly as younger demographics increasingly bypass traditional search engines in favor of conversational AI recommendations.

AI Visibility Analysis for Madrid Restaurants

Distribution by number of AIs

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Frequently Asked Questions

How does AI rank restaurants in Madrid?

AI platforms use different criteria for restaurant rankings, as evidenced by the complete lack of overlap across all four systems. DiverXO's consistent top performance (scoring 85 across three platforms) suggests Michelin recognition and international reputation carry significant weight. However, Rosi La Loca's #1 ranking in Perplexity while being absent from other platforms indicates each AI weighs factors like local popularity, recent reviews, and unique concepts differently.

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

AI platforms operate independently from Google's search algorithms and draw from different data sources. While Google prioritizes local SEO signals, website optimization, and review quantity, AI platforms appear to favor distinctive characteristics and narrative significance. The fact that 73% of identified restaurants appear in only one AI platform shows that traditional search visibility doesn't translate directly to AI recommendation inclusion.

How often do AI recommendations for restaurants change?

AI restaurant recommendations update based on training data refresh cycles and real-time information access, which varies by platform. Unlike Google's continuous crawling, AI platforms may have delayed updates. Restaurants should monitor their AI visibility regularly, as the fragmented landscape means appearance in one platform provides no guarantee of sustained visibility or presence in other AI systems.

Should Madrid restaurants focus on specific AI platforms?

Given that no restaurant appears across all platforms and 73% achieve only single-platform visibility, a multi-platform approach is essential. DiverXO's success across ChatGPT, Gemini, and Claude, combined with examples like Rosi La Loca dominating Perplexity exclusively, suggests restaurants should develop platform-specific strategies rather than assuming universal AI visibility.

What makes restaurants stand out to AI recommendation systems?

The data shows AI platforms favor establishments with clear differentiating factors: DiverXO's avant-garde cuisine (score: 85), Sobrino de Botín's historical significance (score: 63), and Coque's innovative techniques (score: 69) all achieve multi-platform presence. Generic quality isn't sufficient—restaurants need distinctive narratives, unique concepts, or notable recognition to achieve AI visibility in Madrid's competitive landscape.

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