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Language and country

Every article and cluster is written for a market: a country and a language. The market decides the language the article is written in, and where Machined.ai looks for keyword data, ranking pages and research sources.


Setting the market​

When you create a cluster or single article, choose a Country and then a Language. Both are required. The language list only shows the languages available for the country you've chosen, so pick the country first.

Both fields are pre-filled from your project's market, set in Project settings → Basic info. You can change them for any individual article or cluster.

tip

Writing for a global audience? Choose the United States.

A cluster's market is fixed when the cluster is created, and every article in the cluster uses it. If you need content for more than one market, create a separate cluster for each.

Changing your project's market only affects new articles and clusters. Existing ones keep the market they were created with.


What the market affects​

  • Article content: the article, its title and its headings are written in the chosen language
  • Keyword data: search volume, keyword difficulty and trend come from the chosen country
  • SERP analysis: Machined analyzes the pages ranking in that country
  • Research: web research focuses on sources for that market

The market doesn't change the Machined interface, which remains in English.


Supported markets​

Machined supports 89 countries and 41 languages. Only markets where Machined has full keyword and search data are offered, so every market you can choose supports keyword metrics, SERP analysis and research.

The available languages are: Arabic, Bengali, Bulgarian, Chinese (Simplified), Chinese (Traditional), Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, German, Greek, Hebrew, Hindi, Hungarian, Indonesian, Italian, Japanese, Korean, Latvian, Lithuanian, Malay, Norwegian, Polish, Portuguese, Romanian, Russian, Serbian, Slovak, Slovenian, Spanish, Swedish, Tagalog, Thai, Turkish, Ukrainian, Urdu and Vietnamese.


Language quality​

AI models produce good results across all supported languages, though English typically gives the most consistent output. Quality can also depend on the complexity of your topic and how many research sources are available in that language.

Voices in different languages​

All built-in voices work across supported languages, though the exact style and nuance may vary. Some tones and styles translate more naturally into certain languages than others.