Is Alt Text A Ranking Factor For Naver Image Search?

Yes, alt text is a ranking factor for Naver Image Search.

Similar to other search engines like Google, Naver relies on alt text to understand the content of images and determine their relevance for search queries. However, Naver’s image search algorithm may place a different emphasis on certain aspects than Google, given its focus on the Korean market and localized content.

Here’s how alt text impacts Naver Image Search rankings:

  1. Relevance: Alt text helps Naver understand the content of images, which in turn influences how well images are matched to search queries. Accurately describing images in alt text with keywords can improve their chances of appearing in relevant searches.
  2. User Experience: Alt text also serves as a fallback when images fail to load. Naver, like other search engines, values user experience, so using descriptive alt text enhances accessibility and can indirectly impact SEO performance.
  3. Context: Naver considers the overall context of the page in which the image appears, so alt text should align with the content of the page. Images that are well-placed within relevant and high-quality content are more likely to rank higher.
  4. Localization: Given Naver’s focus on Korean users, alt text should ideally be written in Korean to maximize visibility in Naver Image Search. Incorporating localized keywords and terms can help improve relevance.

In summary, while alt text alone won’t guarantee high rankings, it is an important factor in Naver Image Search, especially when combined with other SEO best practices like relevant content and user engagement.

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.