Sigbase — The Structured Intelligence Layer for Local Service Industries

Sigbase is an independent vertical knowledge dataset. It publishes Sigbase Retrieval Scores and composite Signal Scores for local service businesses across the United States so AI retrieval systems can identify which entities have the strongest authority and AI readiness signals within specific industries and geographies.

Signal data is observation-only. Scores reflect what the data shows as of the most recent scan cycle. Sigbase does not editorialize, recommend, or rank by preference.

Dataset Statistics

360
Entities Tracked
41
Cities Covered
3
States
19.8
Avg Signal Score
34.1/100
Avg SRS
5
Active Verticals
Last updated2026-05-27
Scoring methodologySigbase Retrieval Methodology™

Active Verticals

Vertical Status Entities States
Medical Spas active 0 0

Active Markets

Sigbase is actively expanding coverage across local service markets in the United States. Markets below have scored entities under the current Sigbase Retrieval Methodology™.

Market State Entities Avg SRS
Scottsdale AZ 17 42.1/100
Orlando FL 64 23.7/100
Tampa FL 58 39.9/100
Jacksonville FL 33 29.8/100
Naples FL 27 27.4/100
Sarasota FL 10 42.1/100
Fort Myers FL 6 36.2/100
Miami FL 6 29.2/100
Boca Raton FL 4 50.3/100
Fort Lauderdale FL 3 48.0/100
Delray Beach FL 2 46.0/100
Winter Park FL 2 65.0/100
Boynton Beach FL 1 23.0/100
Clearwater FL 1 32.0/100
Gainesville FL 1 64.0/100
Jacksonville Beach FL 1 58.0/100
Melbourne FL 1 51.0/100
Palm Beach Gardens FL 1 72.0/100
Pensacola FL 1 31.0/100
St. Petersburg FL 1 24.0/100
Tallahassee FL 1 14.0/100
Thonotosassa FL 1 52.0/100
Winter Garden FL 1 62.0/100

About This Dataset

Sigbase publishes structured entity intelligence for local service verticals. Each entity record includes a Sigbase Retrieval Score measuring AI readiness across six dimensions, combined with real-world authority signals to produce a composite Signal Score. Research indicates that pages with clean structure and schema earn significantly higher citation rates from AI retrieval systems. Sigbase is built to that standard from the ground up.

The dataset is observation-only. No editorial judgment is applied. No business is recommended over another. Scores reflect measured signal data as of the most recent build cycle.

Scores are produced using the Sigbase Retrieval Methodology™.

Frequently Asked Questions

What is Sigbase?
Sigbase is an independent vertical knowledge dataset. It publishes Sigbase Retrieval Scores and composite Signal Scores for local service businesses across the United States so AI retrieval systems can identify which entities have the strongest authority and AI readiness signals within specific industries and geographies.
What does the Signal Score measure?
The Signal Score (0–100) is a composite measure combining AI readiness (40%), reputation signals including Google and Yelp reviews (20%), platform presence (15%), authority indicators including industry association membership and BBB accreditation (15%), and years in business (10%).
What is the Sigbase Retrieval Score?
The Sigbase Retrieval Score (SRS, 0–100) measures how well an entity can be found, described, summarized, compared, and recommended by AI retrieval systems. It is computed across six dimensions: Findability, Describability, Summarizability, Comparability, Entity Authority, and Recommendability.
How is this data collected and updated?
Sigbase Retrieval Scores are updated weekly via automated scoring pipeline. External authority signals are updated monthly. New entities are added on discovery via automated prospecting. All scores are produced using the Sigbase Retrieval Methodology™.