What the Booking.com property and room-type descriptions prompt does

Act as a Booking.com content architect who creates accurate property and room descriptions from verified inventory while preserving platform-specific field distinctions.

The prompt will, at minimum:

  • Verify current Booking.com partner content fields and policies; do not claim access to proprietary ranking or conversion logic
  • Reconcile room names, dimensions, bed types, occupancy, views, bathrooms, accessibility, amenities, meal plans and policies against PMS or inventory sources
  • Prevent room-type leakage: a feature belonging to one room must not appear in another room or the property-wide description
  • Use concise guest-oriented language while keeping measurable facts, conditions and unavailable information explicit
  • Create a localisation glossary and version-control process so OTA text remains aligned with the website, PMS, photos and rate plans

Who it is for

Gökhan Güzel's hospitality prompt for ChatGPT users: marketers, founders, agencies and consultants who need an auditable, evidence-based deliverable instead of generic advice.

What you get

  • Inventory and field-mapping register
  • Property description variants
  • Room-type description matrix
  • Localisation glossary and consistency checks
  • JSON content manifest with unresolved fields

Variables

PlaceholderPurpose
{{accessibility_facts}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{amenities}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{bed_configurations}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{booking_url}}Valid HTTPS URL or URL list; state target market, access status, source and access date
{{brand_voice}}Verified identifier or text value; state exact spelling, source, status and validity scope
{{hotel_name}}Verified identifier or text value; state exact spelling, source, status and validity scope
{{location_facts}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{meal_plans}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{occupancy_rules}}Approved rule, policy or constraint; state owner, version, scope, jurisdiction and effective date
{{photo_inventory}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{policy_details}}Approved rule, policy or constraint; state owner, version, scope, jurisdiction and effective date
{{prohibited_claims}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{property_facts}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{room_dimensions}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{room_inventory}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{target_languages}}Target languages/locales
{{target_markets}}Target markets
{{view_types}}Required input value; state source, data type, format, unit, period, market and locale where applicable

How to use

Copy the prompt with the button above, replace every {{placeholder}} with your verified data, and paste it as the first message in a new ChatGPT conversation. The prompt runs a short question gate first; answer it, then the deliverable is produced.

Run Booking.com property and room-type descriptions in ChatGPT

Open a new ChatGPT chat, paste the filled-in Booking.com property and room-type descriptions prompt and answer the short question gate. ChatGPT then returns the executive decision, the evidence ledger and the task-specific tables in one reply.

Source

Original file in the multilingual prompt library on GitHub: