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What is Semantic Type and what do the badges mean?

Semantic Type classifies domains based on how they derive meaning and their linguistic structure. This helps you understand the domain's positioning and potential use cases.

Semantic Type Categories

Pure Brandable
Coined/invented names with no dictionary meaning. Examples: Zyfra.com, Xippo.io, Flickr.com
Dictionary Brand
Single real dictionary words used as brand names. Examples: Apple.com, Amazon.com, Slack.com
Exact Match Keyword
Exact search terms people use to find products/services. Examples: CarInsurance.com, BestLaptops.com
Partial Match Keyword
Contains keywords but with modifiers. Examples: QuickLoans.com, SmartCRM.io
Category Generic
Entire product category or industry descriptor. Examples: Shoes.com, Hotels.com, Software.com
Geo Keyword
Geographic location + keyword combination. Examples: NYCPlumbers.com, LondonHotels.com
Phrase/Longtail
Multi-word phrases, conversational or sentence-like. Examples: HowToLoseWeight.com, GetFitNow.com
Acronym
Abbreviations or initialisms with known meanings. Examples: IBM.com, NASA.gov, CEO.com
Person Name
Personal names (first, last, or full names). Examples: JohnSmith.com, Martinez.com
Numeric Brand
Numbers as core identity element. Examples: 7Eleven.com, 99designs.com, 365.com
Code/Identifier
Technical codes, model numbers, or systematic identifiers. Examples: X100.com, A1B2.com
Nonsense
Random character strings with no pattern or meaning. Examples: Xqvtz.com, 8k3m2.com

Why Semantic Type Matters

  • Brandable domains (pure-brandable, dictionary-brand) often command premium prices for startups
  • Keyword domains (exact-match, partial-match) are valuable for SEO and direct navigation
  • Category generics can be extremely valuable as industry-defining names
  • Geo-keywords are ideal for local businesses and regional services
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