Premium Datasets
A premium dataset should arrive with more than a download link. It needs a defined scope, reporting period, field dictionary, source notes, and a license that explains how the records may be used.
These datasets support research, SEO analysis, and business planning. Review the current sample and coverage note before licensing because a useful fit matters more than a large row count.
Compare the Current Dataset Packages
Start with the decision you need to make, then compare coverage, included fields, formats, update dates, and permitted uses.
Custom Healthcare AI Market and FDA Dataset Build
Start with 704 verified healthcare AI entities and 487 explicit relationships, then add the companies, FDA fields, research topics, time window, or delivery structure your project needs.
BusinessFlorida Business Dataset
A structured, documented dataset of Florida business listings built for agencies and investors who need a sourced, ready-to-use file rather than a raw scrape.
SEOLocal Search Dataset
Local search performance signals -- rankings, citations, and review patterns -- packaged into one documented dataset for multi-location reporting and prospecting.
ResearchHealthcare Search Dataset
A commercial research dataset for comparing healthcare search visibility by provider category, market, landing page, and reporting period. It supports market analysis and content planning, not clinical decisions or provider-quality judgments.
AIAI Search Dataset
Structured records of how brands and entities surface across AI answer engines, built RAG-ready and documented for teams tracking AI search visibility.
BusinessInsurance Search Dataset
Search demand and competitive visibility data across insurance product categories and markets, packaged for planning and competitive research.
What to Review Before Licensing Data
A credible data package should make its limits visible. Ask for enough documentation to understand what the rows represent and whether the coverage matches your project.
- The unit represented by one record
- Collection dates and the reporting period
- Source types and normalization rules
- A field dictionary with data types
- Known gaps, exclusions, and geographic limits
- Permitted commercial and research uses
Ready-Made Data or a Reusable Template?
Use a finished dataset when the records, sources, and coverage are part of what you need. Use a dataset template when you already have data and need a durable structure for collecting, cleaning, or exporting it.
Use the Sample to Test the Real Work
Open the sample in the tools your team actually uses. Confirm that identifiers remain intact, dates parse correctly, categories are consistent, and the fields can answer the questions behind the purchase.