ChatGPT Plugin

Hotel Please

Notable hotels, researched

Brand: Unknown

Category: Pending
Primary Subcategory: Pending

Integration details

Description

Hotel Please is an atlas of the world's most notable hotels: luxury hotels, boutique and design hotels, resorts and heritage hotels. Every hotel is researched and profiled one at a time, and none can pay to be included or to earn a medal. Ask where to stay and ChatGPT answers from our profiles with hotel recommendations for a city, country or neighborhood, ranked by our medals, with why each one stands out. Narrow by vibe (design, luxury, heritage, wellness, resort, local, social, classic), by a pool, gym or spa, by Michelin Keys or by price. Ask about one hotel and ChatGPT gets its full profile: the rooms, pool and spa, restaurants and bars, history, neighborhood, honours and a typical nightly price. Every hotel links to its profile on hotelplease.app, opens in the Hotel Please app if you have it, and comes with links to book. Some booking links earn Hotel Please a commission at no cost to you; commissions never decide which hotels are included or how they are rated. The plugin is read-only and needs no account. It receives only the place, hotel and filters in each request, never your conversation.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Pending
Primary Subcategory: Pending
Secondary Subcategories: None listed
Brand: Unknown
Access: No account required
First tracked: 2026-10-22
Tool count: 2
Geography: US

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Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce Hotel Please has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.

Tools

2 tools agents can invoke

Where to stay in a city, country or neighborhood: up to 10 of the notable hotels Hotel Please has profiled there, ranked by its medals, each with why it stands out, its medals, Michelin Keys, a typical nightly price where known, a link to its full profile and booking links. Narrow by vibe (design, luxury, heritage, wellness, resort, local, social, classic), by facility (pool, gym, spa), by Michelin Keys or by price tier. For example: "where should I stay in Kyoto", "best hotels in Lisbon", "design hotel with a pool in Bangkok", "three-key hotels in Paris".
search_hotels
The full Hotel Please profile of one hotel: what it is good at and its medals, the rooms, pool, spa, gym, restaurants and bars, its history and neighborhood, Michelin Keys and other honours, a typical nightly price where known, its own website, booking links and a link to the profile. Give the hotel name (add the city when the name is common), a hotelplease.app link, or an id from search_hotels. For example: "tell me about Aman Kyoto", "does the Park Hyatt Bangkok have a good pool".
get_hotel

FAQs

Hotel Please ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve Hotel Please's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.