Valuation Oct 06, 2026 • 5 min read

TLD Valuation Benchmarks: Extension Value

In short

An empirical analysis of aftermarket transaction premiums between legacy .com, developer-favorite .io, and the booming .ai extension market.

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SaaS business intelligence analytics dashboard showing conversion rates and market share comparisons
SaaS business intelligence analytics dashboard showing conversion rates and market share comparisons Source: DomSight Market Intelligence
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While the prefix or keyword establishes what a brand stands for, the Top-Level Domain (TLD) determines its institutional credibility, enterprise liquidity, and global ceiling. Over the past 36 months, the market landscape has splintered: while .com continues to hold the undisputed crown for global enterprise commerce, niche extensions like .ai have rewritten historical pricing benchmarks.

Empirical Secondary Sales Metrics (2025-2026)

Analyzing over 140,000 recorded secondary transactions from the DomSight database reveals distinct performance characteristics across leading extensions:

TLD Extension Median Sales Price Wholesale STR (Annual) Liquidity Score (1-100) Renewal Drag
.com $2,850 2.4% 96 / 100 Low ($10-$12/yr)
.ai $4,200 4.1% 84 / 100 Moderate ($70-$90/2yr)
.io $1,650 1.8% 71 / 100 Moderate ($35-$45/yr)
.co $980 1.1% 58 / 100 Moderate ($25-$30/yr)
.org / .net $1,100 0.9% 52 / 100 Low ($12-$15/yr)

Why .ai Commands Higher Median Premiums

While .com has far higher absolute transaction peaks (e.g. multi-million dollar single-word sales), the median transaction value for .ai has surpassed .com in tech sectors. Venture capital funding rounds for generative AI infrastructure startups have created unprecedented buyer urgency for concise, authoritative .ai digital identities.

The Holding Cost Reality

When building a domain portfolio, annual renewal fees significantly impact net ROI. A portfolio of 1,000 .ai domains requires approximately $40,000 in biennial carrying costs, compared to just $10,500 annually for 1,000 .com domains. Investors must adjust sell-through expectations accordingly to ensure portfolio profitability.

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