Does Perplexity recommend hotels?

How Perplexity works differently from ChatGPT

Perplexity is a search-first AI. Every answer Perplexity generates is based on live web content it retrieves in real time. When a user asks “best hotel for families in Dubrovnik”, Perplexity fetches current web pages (travel articles, TripAdvisor listings, hotel websites, review aggregations) and synthesises an answer from them, with numbered citations.

The practical consequence: Perplexity reads your hotel website when it searches your category and city. If your website has good structure, an llms.txt file, clear property descriptions and FAQ content, Perplexity can read and cite it directly. If your website is a Flash-based image gallery from 2014, Perplexity cannot read it and won’t cite it.

What Perplexity reads when it searches for hotels

Perplexity’s hotel results typically draw from:

TripAdvisor and similar review aggregators (very commonly cited)
Travel editorial sites (Condé Nast Traveller, Lonely Planet, local guides)
Individual hotel websites (if well-structured and text-rich)
Booking.com listing pages
Local tourism board websites

The weighting varies by query. Broad category queries (“luxury hotels in Tokyo”) tend to surface editorial sources. Specific attribute queries (“hotel in Tokyo with indoor onsen, not a chain”) are more likely to surface individual hotel websites and specific review content.

Why Perplexity citations matter

Perplexity shows users numbered citations for every claim in its answer. When your hotel is mentioned, users see a source link. When they click it, they go directly to wherever Perplexity read the information: your website, TripAdvisor, or an editorial article.

This is a direct referral path. A Perplexity recommendation citing your hotel website sends traffic directly to you, not to a booking platform first. For direct booking strategy, Perplexity visibility is particularly valuable.

How to improve Perplexity visibility specifically

The highest-leverage actions for Perplexity visibility:

A readable hotel website. Text-rich, well-structured, with a clear property description, room descriptions, location page and FAQ. Avoid JavaScript-heavy pages that render slowly or block crawlers.

An llms.txt file. Perplexity’s crawler respects llms.txt. This file gives the crawler a clean, authoritative summary of your property to use when generating answers. What is llms.txt for hotels explains how to create one.

TripAdvisor presence. Perplexity cites TripAdvisor frequently. A complete, active TripAdvisor listing with a high review volume helps ensure your property surfaces in Perplexity searches.

Presence on editorial sites. A mention in a notable travel publication significantly improves Perplexity visibility for relevant queries, because Perplexity weights editorial sources highly.