First-party data
Direct from Google Ads API. Not estimated by SEMrush or scraped from third parties.
Volume matters, but only as one input. The 30-website lexical study proves that semantic variation carries most of the real demand.
Keyword Volume is first-party monthly search volume, competition index, and cost-per-click bid range data pulled directly from the Google Ads Keyword Planner API — via Patnick's developer token under a Manager Account (MCC) so customers don't need their own Google Ads account — then stored per site and used as one of four inputs to the Demand dimension of the 3-score model, alongside GSC historical data, Trends momentum, and semantic query expansion.
Lexical semantics research shows that semantic variations outweigh exact-match volume by 4-8x for most topical domains. But Google Ads Keyword Planner is still the authoritative source for the volume you can measure. Patnick pulls real first-party Google Ads data — not modeled SEMrush estimates — and normalizes it into the Demand dimension of the 3-score model.
Direct from Google Ads API. Not estimated by SEMrush or scraped from third parties.
LOW / MEDIUM / HIGH classification from Ads — the same data advertisers see.
Low and high bid ranges in micros — useful for commercial intent classification.
Trend line for every keyword over the last 12 months from official Google data.
Patnick batches queries into groups of 20 to fit the Google Ads API per-request limit.
Call GenerateKeywordHistoricalMetrics with your geo + language targeting.
Extract avg_monthly_searches, competition, cpc_low_bid_micros, cpc_high_bid_micros.
Save to keyword_metrics table with 30-day cache TTL. Refresh monthly when Google publishes new averages.
This is how keyword volume surfaces inside the real Patnick dashboard. Enter the your audit to click through it.
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