Domain intelligence methodology
NameSnatcher combines verified marketplace inventory, deterministic domain properties, and model-assisted category inference. Methodology version: 3.0.
Data inputs
Seller inventory fields: domain, TLD, pricing, sales setting, verification status, inquiry count, visitor estimates, and date added.
Deterministic calculations
Tokenization, character count, TLD interpretation, verified inquiry and visitor signals, and acquisition-path validation.
Model-assisted inference
Category classification, buyer-fit suggestions, naming strengths and risks, and semantic query alignment. These are directional, not guarantees.
Confidence scoring
Each claim carries internal provenance and confidence. Classification and analysis confidence gate page tier eligibility.
Verification freshness
Stale or expired verification suppresses Offer schema and product sitemap inclusion. Fresh listings display last-verified dates.
Sensitive-domain handling
Adult-content and security-sensitive domains require manual review, restricted related-domain placement, and careful commercial framing.
Limitations
Buyer-fit and naming-risk findings do not guarantee demand, valuation, search rankings, or AI visibility. Search alignment phrases are possible category associations — not verified search-volume data. Listing prices are asking prices, not confirmed sale prices.
Update frequency
Inventory is synchronized from seller marketplace records. Intelligence records regenerate when inventory or methodology version changes.