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Keyword Universe Estimator

Estimate the total keyword universe for your dataset. See breakdowns by tier (primary, secondary, long-tail), monthly search volume ranges, and which fields drive the most coverage.

Input

Enter the field names in your dataset
For gap analysis vs. keyword universe

Results

Enter your dataset details and click Estimate.

How the Keyword Universe Is Calculated

Every big data site sits on a keyword universe — the total number of unique search queries your dataset could theoretically rank for. Understanding the size and shape of this universe determines your architecture, content strategy, and page count targets.

The Three Tiers

  • Primary keywords — Direct entity queries: the record name itself, the record name + location, the record name + category. These are your leaf pages.
  • Secondary keywords — Category + location combinations, filtered queries, comparison queries. These are your browse pages and faceted views.
  • Long-tail keywords — Multi-attribute queries combining 3+ fields. "plumber in Austin with 5-star reviews open Saturday." These are the queries your structured data answers.

Why This Matters for Architecture

If your keyword universe is 10x larger than your current indexed page count, you have a massive gap. RIBA's browse architecture fills that gap by creating crawlable, indexable browse pages that target secondary and long-tail keyword tiers without creating thin content.

API Access

Access BigDataSEO tools programmatically via the Public API. Generate an API key in your account settings.

curl -H "Authorization: Bearer bds_YOUR_KEY" \
  "https://bigdataseo.com/api/v1/riba-calculate?n=500000"

Free tier: 100 requests/day. View full API docs →