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AI Itinerary Share · Edition 1, 2027 travel year

Where AI-planned trips to Norway spend the nights

On 7-day trips to Norway, Bergen gets 30.4% of the nights. Based on 14 AI-drafted itineraries, which stay in 4.42 places on average.

This destination in the other indexes: AI Shortlist · Source Control

Where the nights go

Share of nights on 7-day trips, with and without a car.

  • Bergen30.4% · 27 nights
  • Oslo28.3% · 27 nights
  • Flåm15.5% · 16 nights
  • Ålesund5.7% · 7 nights
  • Geiranger3.9% · 4 nights
  • Tromsø3.6% · 2 nights
  • Loen2.7% · 2 nights
  • Stavanger2.4% · 3 nights
PlaceShare of nightsShare of day visits
Bergen30.4%0.0%
Oslo28.3%0.1%
Flåm15.5%0.0%
Ålesund5.7%0.0%
Geiranger3.9%0.0%
Tromsø3.6%0.0%
Loen2.7%0.0%
Stavanger2.4%0.0%
Odda1.8%0.0%
Geirangerfjord1.2%0.1%
Lillehammer0.9%0.2%
Eidfjord0.9%0.0%

With a rental car versus without a car

Norway · 7 days · top 8 places · Edition 1, 2027 travel year

Unit: share of nights, percent

The same trip drafted with a rental car and without a car. A share of zero means no itinerary stayed the night there with that option.

Show as table
PlaceWith a rental carWithout a car
Bergen21.4%39.3%
Oslo25.6%30.9%
Flåm15.5%15.5%
Ålesund8.9%2.4%
Geiranger7.7%0.0%
Tromsø0.0%7.1%
Loen5.4%0.0%
Stavanger0.0%4.8%

Places by trip length

Share of nights at each trip length, with and without a car. Each length is counted on its own.

Unit: share of nights
3 days7 days10 days14 days21 days
Bergen28.5%30.4%22.2%15.7%11.7%
Oslo36.1%28.3%30.8%23.7%18.1%
Flåm22.9%15.5%9.8%6.9%6.0%
Ålesund4.2%5.7%6.9%8.5%7.9%
Geiranger4.2%3.9%4.0%4.2%4.0%
Tromsøn/a3.6%1.7%3.1%7.4%
Loenn/a2.7%2.5%2.1%0.5%
Stavangern/a2.4%2.5%6.1%2.7%

Visited, not slept in

Places the itineraries visit for the day without staying the night, on 7-day trips, with the share of all day visits each one gets and the count.

PlaceShare of day visitsDay visits
Vigeland Sculpture Park3.1%11
Karl Johans gate2.4%8
Bergen Fish Market2.1%5
Oslo Opera House2.1%7
Flåm village1.7%7
Nærøyfjord1.7%5
Munch Museum1.7%6
Akershus Fortress1.4%5
Voss1.4%6
Bergenhus Fortress1.4%4
Bryggen wharf1.4%6
Mount Fløyen1.4%4

Where each platform puts the most nights

  • Claude: Oslo (6 itineraries)
  • ChatGPT: Oslo (4 itineraries)
  • Gemini: Bergen (2 itineraries)
  • Grok: Bergen (2 itineraries)

Sample itineraries, with a rental car

Norway · 7 days · with a rental car · one itinerary per model · Edition 1, 2027 travel year

Unit: nights

Where each model's 7-day Norway itinerary stays the night, day by day. Ticks above a day count the places visited that day.

Show as table
ModelFrom dayStays inNights
Claude Opus 51Bergen1 night
Claude Opus 52Ulvik or Eidfjord1 night
Claude Opus 53Flåm or Aurland1 night
Claude Opus 54Balestrand or Sogndal1 night
Claude Opus 55Geiranger1 night
Claude Opus 56Ålesund2 nights
Claude Sonnet 51Bergen1 night
Claude Sonnet 52Voss1 night
Claude Sonnet 53Flåm1 night
Claude Sonnet 54Sogndal1 night
Claude Sonnet 55Geiranger1 night
Claude Sonnet 56Åndalsnes1 night
Claude Sonnet 57Ålesund1 night
Claude Haiku 4.51Oslo2 nights
Claude Haiku 4.53Flam2 nights
Claude Haiku 4.55Geirangerfjord2 nights
Claude Haiku 4.57Bergen1 night
GPT-5.6 Terra1Oslo1 night
GPT-5.6 Terra2Flåm1 night
GPT-5.6 Terra3Bergen1 night
GPT-5.6 Terra4Loen1 night
GPT-5.6 Terra5Geiranger1 night
GPT-5.6 Terra6Ålesund1 night
GPT-5.6 Terra7Oslo1 night
GPT-5.6 Luna1Oslo1 night
GPT-5.6 Luna2Lillehammer1 night
GPT-5.6 Luna3Flåm1 night
GPT-5.6 Luna4Bergen1 night
GPT-5.6 Luna5Eidfjord1 night
GPT-5.6 Luna6Oslo2 nights
Gemini 3.8 Flash1Oslo1 night
Gemini 3.8 Flash2Flåm1 night
Gemini 3.8 Flash3Bergen2 nights
Gemini 3.8 Flash5Loen1 night
Gemini 3.8 Flash6Geiranger1 night
Gemini 3.8 Flash7Ålesund1 night
Grok 4.61Oslo1 night
Grok 4.62Flåm1 night
Grok 4.63Bergen2 nights
Grok 4.65Odda1 night
Grok 4.66Oslo2 nights

Sample itineraries, without a car

Norway · 7 days · without a car · one itinerary per model · Edition 1, 2027 travel year

Unit: nights

Where each model's 7-day Norway itinerary stays the night, day by day. Ticks above a day count the places visited that day.

Show as table
ModelFrom dayStays inNights
Claude Opus 51Oslo2 nights
Claude Opus 53Flåm1 night
Claude Opus 54Bergen2 nights
Claude Opus 56Stavanger1 night
Claude Opus 57Oslo1 night
Claude Sonnet 51Oslo2 nights
Claude Sonnet 53Bergen1 night
Claude Sonnet 54Flåm1 night
Claude Sonnet 55Bergen1 night
Claude Sonnet 56Ålesund2 nights
Claude Haiku 4.51Oslo2 nights
Claude Haiku 4.53Bergen2 nights
Claude Haiku 4.55Flåm2 nights
Claude Haiku 4.57Oslo1 night
GPT-5.6 Terra1Oslo2 nights
GPT-5.6 Terra3Flåm1 night
GPT-5.6 Terra4Bergen2 nights
GPT-5.6 Terra6Stavanger2 nights
GPT-5.6 Luna1Oslo2 nights
GPT-5.6 Luna3Flåm1 night
GPT-5.6 Luna4Bergen4 nights
Gemini 3.8 Flash1Oslo2 nights
Gemini 3.8 Flash3Flåm1 night
Gemini 3.8 Flash4Bergen2 nights
Gemini 3.8 Flash6Tromsø2 nights
Grok 4.61Oslo2 nights
Grok 4.63Flåm1 night
Grok 4.64Bergen4 nights

Norway

Most questions went to each model at each setting only once, and a model read the answers, so a reading can be wrong. The methodology has the details.

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