Rank.ai sold for $200,000, ranking fifth in the .ai domain name public transaction in 2025

Recently, the brand domain name Rank.ai was successfully traded at a price of $200,000. This transaction not only highlights the market value of AI-related keywords, but also makes Rank.ai and ZIP.ai tied for fifth place in the currently known .ai domain name transactions in 2025.

The "Rank" in Rank.ai is a common core word in AI and data-driven scenarios, and is widely used in technical contexts such as search rankings, content recommendations, and rating systems. This type of highly semantically universal vocabulary, combined with the .ai suffix, constitutes a brand asset that is highly compatible with the artificial intelligence industry. Whether used for search algorithm platforms, AI optimization tools, or B2B enterprise services, Rank.ai has extremely high commercial adaptability and recognition.

According to public data, the domain names with higher transaction prices in the .ai suffix so far in 2025 include Service.ai (US$650,000), Think.ai (US$500,000), AIJobs.ai (US$350,000) and Dialogue.ai (US$205,000), while Rank.ai and ZIP.ai are both in fifth place, further highlighting the scarcity of high-quality .ai short words.

The .ai domain name market has been active in the past two years. In addition to the rapid growth of the artificial intelligence industry, the driving factors behind it also include the strong demand of start-ups for brand recognition and technical vertical attributes. Compared with traditional .com, .ai domain names have established clear industry associations among early users and capital markets, providing AI entrepreneurs with differentiated naming options.

In addition, with the accelerated implementation of technologies such as generative AI, large models, and multimodality around the world, more companies have begun to pay attention to the construction of brand assets at the domain name level. High-quality .ai domain names are gradually transforming from speculative assets to strategic assets, and the price level and transaction frequency are steadily increasing.