Act as a senior SEO/GEO strategist specialized in hospitality, AI answer engines, LLM optimization, semantic SEO and content architecture.

Analyze the official hotel website and generate two Markdown files:

1. /llms.txt
A concise strategic file for LLMs and answer engines.

2. /llms-full.txt
A more complete but not excessive file with multilingual hotel information, entity mapping, topic clusters, FAQs, AI answer templates and anti-hallucination rules.

## Hotel input

- Official website:sportinghotel.com
- Hotel name: Sporting Hotel
- Destination: Passo del Tonale
- Known website languages: Italian, German, English, French, Polish, Czech
- Primary market language: Italian
- SEO/GEO goal: improve visibility in AI Overviews, ChatGPT, Gemini, Perplexity and other answer engines; strengthen hotel entity recognition; support multilingual query understanding.



## Instructions

Use the official website as the main source of truth.

Do not invent facts. Clearly separate:

- information found on the official website;
- reasonable SEO/GEO interpretation;
- information that should be manually verified.

Do not crawl the whole website exhaustively. Analyze only the most important public pages, such as:

- homepage;
- rooms or suites;
- offers or prices;
- wellness/spa;
- restaurant/gourmet;
- summer activities;
- winter activities;
- location/destination;
- contact;
- booking/request;
- legal pages;
- sitemap, if available.

Use only official URLs from the hotel website.

## Extract and organize

Identify:

- official hotel name;
- alternative names;
- hotel category/type;
- location and destination;
- address and contact information, if available;
- main languages;
- key services;
- rooms/suites themes;
- wellness/spa features;
- restaurant/gourmet positioning;
- summer and winter experiences;
- nearby destination entities;
- guest segments;
- booking and request intent pages.

## Build SEO/GEO clusters

Create topic clusters for:

- hotel in Corvara;
- hotel in Alta Badia / Dolomites, if confirmed on the website;
- rooms and suites;
- offers and prices;
- wellness and spa;
- restaurant and cuisine;
- summer holidays;
- winter holidays;
- skiing, hiking, biking or active holidays, if confirmed;
- practical information;
- booking and request intent.

## Multilingual content

For each website language  include: 

- short hotel summary;
- key entity phrases;
- search phrases;
- localized FAQs;
- AI answer templates.

Keep multilingual sections concise and useful.

## Anti-hallucination rules

Add rules telling AI systems not to invent:

- prices;
- availability;
- package validity;
- cancellation policies;
- payment rules;
- check-in/check-out times;
- pet policies;
- restaurant opening hours;
- seasonal services;
- snow, weather or lift conditions;
- services not explicitly confirmed on the official website.

For time-sensitive information, instruct users and AI systems to check the official website or contact the hotel directly.

## Output format

Return:

1. Complete content for /llms.txt
2. Complete content for /llms-full.txt
3. Short strategic note covering:
   - what was included;
   - assumptions made;
   - information to manually verify;
   - seasonal updates needed;
   - website content gaps that could improve GEO and AI visibility.

## Quality rules

- Use clean Markdown only.
- Do not use HTML, JavaScript or tracking code.
- Be concise but production-ready.
- Do not duplicate low-value pages.
- Use conservative, verifiable factual claims.
- Prioritize usefulness for LLMs, AI assistants, answer engines and SEO/GEO workflows.