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Hospitality AI Citation Study: 6735 AI Answers Measured

Data study of 6735 AI answers in Hospitality: which platforms the AIs cite in this sector, how it differs from the general ranking, and what to do about it.

Published on:
30/8/2026
-
Updated on:
30/8/2026
Bar chart of the platforms most cited by the AIs in Hospitality, measured by Sorank on 301025 AI answers
Bar chart of the platforms most cited by the AIs in Hospitality, measured by Sorank on 301025 AI answers
Thibault Besson-Magdelain fondateur de Sorank

About Author

Thibault Besson-Magdelain

Founder of Sorank, 5+ years of experience in SEO, GEO enthusiast.

The short answer

In Hospitality, 6735 AI answers were measured between May 2026 and August 2026. The most cited platform is TripAdvisor at 6.12%, ahead of Wikipedia at 1.77%. That ranking differs from the general one: TripAdvisor is cited 5.7 times more here than in the general ranking.

Hospitality is decided by one review platform, which is cited nearly six times more here than in the general ranking.

Key figures

  • 301025 AI answers analysed between August 2025 and August 2026
  • 1820738 citations extracted from those answers
  • 131349 distinct domains cited at least once
  • 5 models measured separately: ChatGPT, Gemini, Perplexity, Claude and Grok
  • 79% of the questions asked in French, the rest in English

Which platforms the AIs cite in Hospitality

  • TripAdvisor: 6.12%
  • Wikipedia: 1.77%
  • Trustpilot: 1.56%
  • Reddit: 1.29%
  • Facebook: 0.86%
  • YouTube: 0.71%
  • Leboncoin: 0.35%
  • LinkedIn: 0.33%
  • Instagram: 0.3%
  • Amazon: 0.16%

What this sector cites more than the average

  • TripAdvisor: 6.12% here against 1.08% in the general ranking, 5.7 times more
  • Leboncoin: 0.35% here against 0.15% in the general ranking, 2.3 times more

The leading source model by model

  • ChatGPT: TripAdvisor at 8.02%
  • Gemini: TripAdvisor at 3.38%
  • Perplexity: TripAdvisor at 6.95%

How to read these numbers

A citation rate of 2% means the source was cited twice for every 100 measured answers. Rates are computed per model against the number of answers of that model, so a model with a smaller sample never distorts a column. A source cited several times inside one answer is counted once per company block, which keeps a single verbose answer from dominating a month.

The distribution is worth as much as the ranking. The top three sources hold 70% of the citations counted in this table, 4 platforms sit above 1%, and TripAdvisor is cited 3.5 times more often than Wikipedia. A market where three sources hold most of the citations rewards depth on those three rather than presence everywhere.

This sector was measured on 6735 answers, 79.2% of them in French, across 3 of the five models (ChatGPT, Gemini, Perplexity). The language mix matters when you read the ranking, because local platforms weigh more in French speaking markets.

What changed over the measured period

This sector was measured over 4 months, between May 2026 and August 2026, on 6735 answers, and 21 platforms recorded at least one citation. Its leading source, TripAdvisor, rose from 2.76% in May 2026 to 7.03% in August 2026, which is the kind of movement that makes a ranking older than one quarter unreliable.

TripAdvisor month by month in this sector

  • May 2026: 2.76%
  • June 2026: 4%
  • July 2026: 7.27%
  • August 2026: 7.03%

What this means in practice

For hotels, restaurants and venues, the visibility question has a short answer: the review profile is the page the models read. The property website appears far less often, which is uncomfortable but consistent with how travellers search. The practical work is unglamorous: complete profile, current photos, accurate amenities, and a steady flow of recent reviews, because recency is visible in what gets quoted.

How to use this study

  1. Treat the review profile as your primary page and update it as often as your website.
  2. Answer reviews in full sentences, since replies are part of the readable text.
  3. Keep amenities, hours and location identical across every listing you own.

How this study was measured

  1. We run a panel of buyer questions every month, the questions people type before choosing a supplier.
  2. Every question is sent to five AI: ChatGPT, Gemini, Perplexity, Claude and Grok.
  3. Every answer is parsed, every cited source is extracted and normalised to a domain and a platform.
  4. The citation rate is the number of citations of a source per 100 measured answers, computed per model so an uneven number of answers per model never distorts a column.
  5. The month is closed, the dataset is rebuilt, and the public files are republished on data.sorank.com.

Limits of this study

  1. This panel is not a neutral sample of the web. The questions come from the sectors our users operate in.
  2. The panel leans French: 237930 answers come from questions asked in French and 63095 from questions asked in English.
  3. Model coverage is uneven: 87008 answers from ChatGPT, 87004 from Perplexity, 87000 from Gemini, 20011 from Claude and 20002 from Grok. The two smallest samples are read as direction rather than as precise values.
  4. A citation is not a click. This study measures what the AIs cite, not what a reader does next.

The dataset behind this study

Every number on this page comes from the public Sorank dataset. The underlying figures, the monthly detail and the filters are available here:

Open the source data on data.sorank.com

Data updated on 2026-08-26.

How to cite this study

This study is free to quote, in an article, a deck or a report. Please cite the source and the measurement period, because the numbers move every month.

Sorank (2026). Hospitality AI Citation Study: 6735 AI Answers Measured. Sorank GEO studies, measured on 301025 AI answers collected between August 2025 and August 2026. Available at https://www.sorank.com/data/hospitality-ai-citation-study

Related studies

The same panel, read from another angle:

Measure your own citations

This study describes a market. Sorank measures your site: which questions mention you, which mention someone else, and what to publish to change that, tracked weekly across the same five AI.

Start with 3 days free. A payment card is required to open the trial.

Frequently questions asked

Which platform do the AIs cite most in Hospitality?

TripAdvisor at 6.12%, ahead of Wikipedia at 1.77% and Trustpilot at 1.56%. The full ranking is on this page, and the source data is public on data.sorank.com.

How was this study measured?

On 301025 answers from five AI, collected between August 2025 and August 2026, with every cited source extracted and normalised. The citation rate is the number of citations per 100 measured answers. The public dataset is on data.sorank.com.

Can a hotel website outrank its review profile in AI answers?

Rarely, in this dataset. The realistic goal is to be cited alongside the profile, which happens when the site carries information the profile does not, such as detailed room descriptions or local guidance.

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