Are Internal Links A Naver Ranking Factor?

Posted by By Dan Taylor 2 Min Read

Yes, internal links can positively impact SEO on Naver, just as they do on other search engines like Google.

While Naver doesn’t publicly disclose every detail of its ranking algorithm, internal linking is generally regarded as an important Naver SEO practice because it helps search engines understand the structure of a website and the relationship between different pages.

Here’s how internal links can influence rankings on Naver:

  • Improved Crawlability: Internal links help Naver’s search crawlers navigate and index your site more efficiently. This makes it easier for Naver to discover and rank more pages from your site.
  • User Experience and Engagement: A good internal linking structure improves the user experience by helping visitors find relevant content easily. Increased time spent on the site and better engagement metrics (such as lower bounce rates) are factors that may indirectly influence rankings.
  • Distribution of Link Equity: Internal links help distribute “link equity” (also known as “link juice”) across your site. Pages that are linked more frequently internally may be seen as more important and relevant, potentially boosting their rankings.

While internal links are not a direct ranking factor in the sense that Naver will boost rankings solely based on the number of internal links, they are a best practice for SEO that can contribute to better performance in Naver search results.

Dan Taylor
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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.
Founder & Editor