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AI Shortlist · Edition 1, 2027 travel year

Arizona and Southern California, USA in AI travel recommendations

US region · overall rank 211 of 233 · rank 21 among US region destinations

AI models put Arizona and Southern California, USA in their top 10 recommendations in 0.0% of answers, rank 211 overall.

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

By platform

PlatformScore
Claude0.0%
ChatGPT0.0%
Gemini0.0%
Grok0.0%

By model

ModelScore
Claude Opus 50.0%
Claude Sonnet 50.0%
Claude Haiku 4.50.0%
GPT-5.6 Terra0.0%
GPT-5.6 Luna0.0%
Gemini 3.8 Flash0.0%
Grok 4.60.0%

Web search and effort

Arizona and Southern California, USA · Edition 1, 2027 travel year

Unit: Shortlist score, percent of answers

Arizona and Southern California, 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 off0.0%n/a
Normal vs lowest effortn/a0.0%

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.

Season

Unit: percentage points versus overall score
Spring
Change0.0

Trip length

Unit: percentage points versus overall score
Weekend
Change0.0

Transport

Unit: percentage points versus overall score
Road trip
Change0.0

Climate

Unit: percentage points versus overall score
Warm Weather
Change0.0

Travel style

Unit: percentage points versus overall score
Cultural
Change0.0

Travel party

Unit: percentage points versus overall score
Solo
Change0.0

How it's asked

Unit: percentage points versus overall score
Where should I go?
Change0.0

How the models wrote the name

NameMentions
Phoenix–Joshua Tree–Los Angeles1

Arizona and Southern California, 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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