Domain valuation can feel like dark art, but it follows a method. The goal is never to produce a single magic number; it's to build a defensible range backed by evidence a buyer or seller could reasonably accept.
The core method: comparison
Valuation works by comparison. You take the domain in front of you and weigh it against two kinds of evidence:
- Comparable sales — what similar domains have actually sold for.
- Market benchmarks — average sale prices by extension, category, and length.
No single comparable is a perfect match. The skill is in judging how your domain is better or worse than each one, then triangulating.
The three-value framework
A complete valuation doesn't return one figure — it returns three:
- Wholesale value — the liquid, fast-sale price.
- End-user (retail) value — the price to the business that needs the name.
- Estimated market value — the most probable transaction price in a normal selling window.
The spread between wholesale and end-user is where negotiation happens. A buyer offering near wholesale is betting they can find the end user themselves; a seller holding out for retail is accepting a longer wait.
Scoring the intangibles
Some factors can't be read off a sales database. Brandability, pronunciation, trademark risk, and "feel" are scored on structured 0–100 scales. These scores don't set the price, but they explain why two domains with similar comparables land at different values.
Where AI fits in
A human broker pulls comparables, scores the intangibles, and writes a narrative. An AI valuation does the same — but it can scan far more comparables, cross-reference live search and CPC data, and produce a consistent, explainable report in seconds instead of days.
The result is the same shape: a range, a recommendation, and the reasoning behind it. Try it on your domain and you'll see each piece laid out.