What Should Hotels Put in Their llms.txt File?
llms.txt is to AI crawlers what robots.txt was to Google in 2005, and early adopters set the visibility default for the rest of the market. The standard is still emerging, but hotels that publish a clean llms.txt for hotels file now define how AI tools describe them later.
Wait, and the AI describes you from whatever it scrapes. That is almost always less flattering than the description you would have written yourself.
What Is llms.txt and Why Does It Matter for Hotels?
llms.txt is a proposed file format: a single markdown file at the root of your domain that gives AI crawlers and language models a structured summary of your site. It tells the AI what your site is, what is important, where to find structured information, and how to cite you.
AI crawlers do not always read full websites the way Google does. Many sample heavily, prioritize structured data, and rely on summary signals to decide how to describe a property. llms.txt provides those summary signals in a controlled, hotel-authored format.
Adoption is growing. Anthropic, OpenAI, and Perplexity have all signaled interest in or active use of llms.txt-style summaries. The standard is not fully settled, but the foundational structure is stable enough to publish today.
What Should Hotels Include in Their llms.txt File?
Four sections cover the essential content for a hotel's llms.txt file.
Property Identity and Core Service Summary
Lead with the basics: hotel name, location, category (boutique, business, resort, and so on), star rating, and a one-paragraph description of what the property is and who it is for. This is what AI tools quote when describing your hotel in a recommendation.
Write this in clean, declarative prose. Avoid marketing language. AI tools strip puffery and reward specificity.
Key URLs
Provide direct links to the structured information that defines your property: rooms and rates page, amenities and facilities page, location and directions page, booking page, contact information page, and recent press, awards, or recognized certifications.
Structured Fact Sheet
A clean, factual summary AI crawlers can quote: number of rooms, year built, room types and approximate rates, key amenities (pool, spa, restaurants, parking), nearby landmarks with distances, transport access. Bullet-point format works well here.
Source Links for Verification
Include links to authoritative third-party sources that confirm key claims about your property: TripAdvisor or Google Business Profile for reviews, Wikipedia entry if applicable, recognized industry directories or awards. AI tools cross-reference these to verify confidence.
How Does llms.txt Differ From robots.txt for Hotels?
The two files serve complementary purposes.
robots.txt controls access. It tells crawlers what they can and cannot crawl. The file is binary: allowed or blocked.
llms.txt enables understanding. It tells AI crawlers and language models how to interpret the content they do crawl. The file is descriptive, not restrictive.
Both should work together. robots.txt should generally allow AI crawlers (GPTBot, ClaudeBot, PerplexityBot, GoogleBot) for hotels that want AI search visibility. Blocking them is the digital equivalent of opting out of the next generation of search. llms.txt then tells those crawlers what your site is about and which content matters most.
Blocking AI crawlers in robots.txt is usually a mistake. The traffic and visibility benefits of AI search far exceed the marginal cost of being included in training data.
How Should Hotels Manage AI Crawler Permissions?
Specific decisions about which crawlers to allow:
Generally allow: GPTBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot, GoogleBot. These power the AI tools where hotel visibility matters most.
Selectively allow: smaller AI crawlers and aggregators. Allow if you have AI visibility goals across non-major platforms, block if you are concerned about training data use.
Block when appropriate: crawlers from regions or platforms that do not drive measurable hotel discovery in your markets, or crawlers from any service whose terms of use you specifically do not agree with.
The trade-off: blocking AI crawlers protects your content from training data inclusion but eliminates your visibility in AI search results from those platforms. For most hotels, visibility wins.
Frequently Asked Questions
Is llms.txt mandatory?
No. The standard is voluntary and still evolving. But early adoption gives properties a measurable advantage in AI search visibility, similar to early adoption of XML sitemaps a decade ago.
Where should llms.txt be hosted on a hotel site?
At the root of your domain: yourhotel.com/llms.txt. Same convention as robots.txt and sitemap.xml.
Do AI crawlers actually read llms.txt yet?
Adoption is partial and growing. Some AI tools and crawlers actively use llms.txt; others still rely entirely on web crawl. Publishing it costs almost nothing and the upside grows as adoption expands.
Does llms.txt replace structured data?
No. Schema markup and llms.txt are complementary. Schema is page-level structured data. llms.txt is a site-level summary. Both should be in place for full AI search optimization.
Publish It Now, Compound Later
Hotels that publish a clean llms.txt for hotels file now define how AI tools describe them later. Hotels that wait let AI tools improvise descriptions from scraped content, which is almost always less flattering than the description the property would have written for itself.
Sources
llmstxt.org, llms.txt proposal and specification, 2024 to 2025
Anthropic, ClaudeBot documentation, 2025
OpenAI, GPTBot documentation, 2025
HotelWorld AI and Bain & Company, World's Best at AI Index, February 2026