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AI Shortlist · Edition 1, 2027 travel year

Oklahoma, USA in AI travel recommendations

US state · overall rank 98 of 233 · rank 31 among US state destinations

AI models put Oklahoma, USA in their top 10 recommendations in 1.4% of answers, rank 98 overall. It does best when the question specifies transport as road trip: 15.8%, +14.4 points against its overall score. With web search on, it scores +0.2 points against web search off.

The score is the share of answers that recommend Oklahoma, USA in their top 10, averaged model by model and then platform by platform, so each platform counts equally.

This destination in the other indexes: Source Control

By platform

PlatformScore
Claude2.1%
ChatGPT1.2%
Gemini1.2%
Grok1.2%

By model

ModelScore
Claude Opus 52.8%
Claude Sonnet 51.6%
Claude Haiku 4.52.0%
GPT-5.6 Terra1.2%
GPT-5.6 Luna1.2%
Gemini 3.8 Flash1.2%
Grok 4.61.2%

Web search and effort

Oklahoma, USA · Edition 1, 2027 travel year

Unit: Shortlist score, percent of answers

Oklahoma, USA with web search on and off, and at each model's lowest and normal effort setting.

Show as table
SettingSearch on / normal effortSearch off / lowest effort
Web search on vs off1.5%1.3%
Normal vs lowest effort1.0%1.9%

The repeated baseline question never put this destination in its top 10, so it has no repeat figure.

By kind of question

How much higher or lower the score is on questions that ask for each option, in percentage points against the overall score. Outlined cells are below the overall score.

Transport

Unit: percentage points versus overall score
Road tripAt most two connections
Change+14.4−1.4

How it's asked

Unit: percentage points versus overall score
Where should I go?The plain questionUnderrated
Change+0.2−1.4−1.4

Trip length

Unit: percentage points versus overall score
WeekendOne week
Change−0.8−1.4

Travel style

Unit: percentage points versus overall score
Cultural
Change−1.1

Season

Unit: percentage points versus overall score
FallSpring
Change−1.2−1.4

How the models wrote the name

NameMentions
Tulsa9
Broken Bow1
Oklahoma City1

Oklahoma, USA

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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