URL Best Practices for Japan

When creating URLs for the Japanese market, it’s important to understand that there is no direct evidence suggesting that using a Japan-specific country code top-level domain (ccTLD), such as .co.jp, provides a ranking advantage in search engines like Google Japan, goo.ne.jp, or Yahoo Japan.

Instead, focusing on other aspects of URL structure can significantly enhance localization efforts and improve user experience.

Using Japanese Characters in URLs

To better localize your content for the Japanese audience, consider incorporating Japanese characters within your Uniform Resource Names (URNs).

This approach helps to create URLs that resonate more with local users, making your website more relevant and accessible. For example, a U.S. travel company targeting Japanese tourists might structure their URL as follows:

travel-usa.com/wisconsin/旅行/

In this example, “旅行” (ryokou) is the Kanji character for “travel.” Japan uses multiple writing systems, including Kanji, Hiragana, and Katakana. Understanding how these are used can enhance your URL strategy.

Understanding Japanese Writing Systems

Japanese users often begin their search queries using Latin characters before converting them into their preferred writing style. The three primary writing systems in Japan are:

  • Hiragana: The most commonly used alphabet in Japan, often employed for native Japanese words and grammatical elements.
  • Katakana: Typically used for foreign words, technical terms, and names.
  • Kanji: Logographic characters derived from Chinese, used for nouns, verbs, and adjectives.

Technical Considerations

Ensure that your URLs are UTF-8 encoded to allow Japanese characters to display correctly in search engine results pages (SERPs).

Properly formatted URLs will not only be visible in the correct script but also enhance your site’s relevance and usability for Japanese users.

By following these best practices, you can improve your site’s localization efforts, making it more appealing to the Japanese market while maintaining technical accuracy.

Dan Taylor is the founder and editor of International Search Insights (ISI), the publication behind ReadIsi, and a Partner and Head of Innovation (Search & AI) at SALT.agency. He has worked in search for more than a decade, in-house and agency-side, and is regarded as one of the West’s leading voices on search engines beyond Google, including Yandex, Baidu, Naver and Cốc Cốc. On ReadIsi, Dan covers the engines and AI answer platforms that English-language coverage tends to miss: Baidu and ERNIE, Yandex and Alice AI, Naver, Cốc Cốc, Shenma, Sogou, WeChat and Weibo search, plus DeepSeek and Alibaba’s Qwen. He also keeps dated records of documented changes, such as the Yandex, Baidu and Naver algorithm update histories and the DeepSeek, ERNIE and Qwen model update histories. His approach is to take learnings from global search engines and apply logic with a high evidence threshold. A claim needs a source, patterns seen in one market are treated as a hypothesis until they are checked in another, and where the evidence is thin he says so. For brands, that means advice built on what can be shown, with measurement that separates being cited from being chosen. Dan is credited with coining the term “edge SEO” and won the inaugural TechSEO Boost research competition in 2018 for his work on CDN and edge changes for SEO. In 2026 he was credited with coining “Infinite Tail” to describe how keyword research is changing with AI search. He is the author of AI Search Marketing For The Travel Sector, writes for Search Engine Journal, Search Engine Land and Travel Marketing Guy, and has advised technology, SaaS, travel and enterprise ecommerce brands, including Cloudflare, GitLab and Airbnb. He has given multiple talks and panels at the International Search Summit in Barcelona, and has also spoken at Optimization Moscow, brightonSEO, Google Search Central Live Deep Dive Asia in Bangkok, Athens SEO and the Asia SEO Virtual Summit 2026, where his talk looked at how Baidu, Naver, DeepSeek, Tencent, Cốc Cốc and Yandex built their own AI answers.