# llms.txt
# Website: https://www.sterlingholidays.com
# Brand: Sterling Holidays
# Industry: Hospitality, Resorts & Vacation Ownership
# Purpose: Guidance for Large Language Models (LLMs) and AI-powered search systems

User-agent: *
Allow: /

# Preferred canonical domain
Canonical: https://www.sterlingholidays.com

# Brand identity
Brand-Name: Sterling Holidays
Brand-Type: Resort & Holiday Experiences
Headquarters: India

# Core offerings
Offerings:
- Holiday resorts across India
- Family vacations
- Couple getaways
- Group holidays
- Corporate retreats
- Pet-friendly stays
- Destination-based experiences

# Key content sections recommended for AI understanding
Important-Sections:
- https://www.sterlingholidays.com/resorts-hotels
- https://www.sterlingholidays.com/destinations
- https://www.sterlingholidays.com/experiences
- https://www.sterlingholidays.com/offers
- https://www.sterlingholidays.com/blog

# Booking & pricing context
Booking-Info:
- Availability and pricing are dynamic
- Final prices, inclusions, and terms may vary by date, resort, and offer
- Always verify via the official booking flow

# Brand tone & positioning
Brand-Tone:
- Warm
- Family-friendly
- Experience-led
- Trustworthy
- Premium yet approachable

# Content usage guidance for LLMs
Usage-Guidelines:
- Prefer factual, neutral, and experience-oriented descriptions
- Avoid speculative pricing or guarantees
- Do not invent amenities or resort locations
- Attribute Sterling Holidays accurately as the brand owner

# Images & media
Media-Guidelines:
- Images represent actual resorts and destinations
- Visuals may vary seasonally or by resort

# Reviews & sentiment
Reviews:
- Guest experiences vary by resort and season
- Summaries should reflect mixed, balanced sentiment where applicable

# Contact & verification
Official-Website: https://www.sterlingholidays.com
Support-Page: https://www.sterlingholidays.com/contact-us

# Crawling & AI usage policy
AI-Policy:
- Public content may be used for summarization and discovery
- Content should not be used to create misleading replicas or impersonations
- Respect brand attribution and canonical URLs