Improve my property listing on Booking.com, Expedia, or Airbnb
Rewritten OTA listing content, photo order, and amenity fixes that improve ranking and conversion without overpromising.
The prompt
Help me improve my listing on an online travel agency or rental platform.
Platform: [Booking.com / Expedia / Airbnb / Vrbo / other]
Current listing text: [PASTE TITLE, DESCRIPTION, ROOM DESCRIPTIONS]
Property facts: [TYPE, ROOMS, BEDS, BATHROOMS, PARKING, CHECK-IN METHOD, ACCESSIBILITY FEATURES]
Amenities ticked vs. actually available: [LIST BOTH]
Photo list in current order: [DESCRIBE EACH PHOTO]
Location facts: [DISTANCES TO KEY SIGHTS, TRANSIT, AIRPORT - measured, not estimated]
Performance data: [views, conversion rate, review score, common review complaints]
Who books us most: [e.g. couples on weekends, business travelers, families]
Steps:
1. Diagnose the funnel: is the problem visibility (search ranking), click-through (photo, price, score), or conversion (content, policies, price)?
2. Rewrite the title and description for that guest type, leading with what they search and filter for.
3. Rewrite room descriptions so bed sizes, room size, and views are exact; mismatches drive bad reviews.
4. Recommend a photo order (first five matter most) and missing shots.
5. Audit amenities and filters: missing ticks that hide me from searches, and anything ticked that should not be.
6. Address recurring review complaints honestly in the listing (e.g. stairs, street noise).
Return the rewritten content, the photo order, an amenity fix list, and 3 platform settings to test (e.g. flexible rate plan, mobile rate, minimum stay). Do not add claims I have not confirmed; mark them [CONFIRM].
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Marketing & Brand prompts
What to fill in
- Booking.com / Expedia / Airbnb / Vrbo / other
- PASTE TITLE, DESCRIPTION, ROOM DESCRIPTIONS
- LIST BOTH
- DESCRIBE EACH PHOTO
- e.g. couples on weekends, business travelers, families
- CONFIRM
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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