keywords_trends

Tool of DomainKits

Get trending keywords in domain registrations. Its mainly used for investors to find new chances, but could also be used as brand protection. Three modes: - hot: High-volume keywords (e.g., 'app', 'shop', 'group'). These are established 'blue chip' terms — high volume but high competition. Results include weekly breakdown (w1-w4) to spot momentum shifts. Quality metrics use 28-day data. - emerging: Keywords with sudden registration spikes in the last 7-14 days, often driven by news events, product launches, or viral moments. Compare w4 (current week) vs w3 to assess momentum. Quality metrics use W4-only data to reflect the spike period accurately. Use web_search to investigate what is driving the spike — a spike without an identifiable cause is suspicious. - prefix: Popular naming patterns (e.g., 'get...', 'my...', 'the...'). Results include tld_count — if a prefix has high tld_count but .com is still available, that is actionable. Use bulk_tld to check which specific TLDs are taken vs available. Quality metrics (hot and emerging only, fields vary by user tier): - com_ratio: .com registrations as a proportion of total. Above 15% suggests real interest; below 5% suggests bulk speculation on cheap TLDs. - most_tld: The dominant TLD for this keyword. If a non-.com TLD dominates, the trend is likely driven by bulk registration on that TLD rather than broad organic interest. - pos_start_ratio / pos_end_ratio: Where the keyword appears in domain names. High start ratio (e.g., 'aitools.com') suggests the keyword drives the domain concept. High end ratio (e.g., 'myai.com') suggests it is used as a modifier. - forsale_pct: Percentage of domains with NS pointing to sale platforms (Sedo, Afternic, Atom). Global baseline ~1.8%. Well above baseline (>5%) indicates strong investor interest. This is a lower bound — actual investor activity is likely higher. - top_ns + top_ns_ratio: The most common nameserver and its share. High ratio (>60%) with a single private NS suggests coordinated bulk operation (e.g., PBN/site farm) rather than organic trend. Cross-reference with NS identity: sale platform NS = distributed investor consensus; registrar default NS = recently registered, not yet configured; private/unknown NS at high concentration = likely single-entity bulk action. - top_registrar: The registrar with the highest volume. Investor-favored registrars (Dynadot, NameSilo, Spaceship, Porkbun) vs end-user registrars (GoDaddy, Wix, Squarespace) reveal who is driving the trend. - peak_day: The single day with highest registrations. If peak_day accounts for a large share of total, the trend is likely event-driven or a single bulk registration event rather than sustained organic interest. - building_count: Domains with NS pointing to building infrastructure (Cloudflare, AWS, Vercel, Netlify). Higher values suggest real adoption intent. Scope: By default (scope=all), counts registrations across all gTLDs. With scope=com, narrows to .com registrations only, filtered to pure-letter domains (no digits or hyphens). Rankings and counts differ between scopes since .com is a subset. A keyword that ranks high across all TLDs may not appear in the .com list, and vice versa. TLD distribution metrics (com_ratio, most_tld) are not included in .com scope. Scope is available for hot and emerging only; prefix always uses all TLDs. Data methodology: Registration counts are based on semantic keyword extraction using DomainKits' proprietary word segmentation engine (https://github.com/ABTdomain/dksplit), not simple substring matching. Bulk registration noise is automatically filtered from emerging results. WHOIS data is sourced from daily RDAP snapshots. Brand protection registrars (CSC, MarkMonitor, etc.) are excluded.