US Company Data is the firmographic layer underneath modern B2B go-to-market. It tells you which businesses exist, where they operate, what industry they sit in, and how to reach them. Drimble maintains a US-wide company data set built on the SpotOn USA local news network — covering all 50 states and refreshed monthly — and used by sales, marketing and product teams to power ICP scoring, CRM enrichment, territory planning and AI-search visibility.
What is inside US Company Data
Each company record contains a stable identifier, the legal and trading name, the primary US address (street, city, state, ZIP, county), geocoordinates, phone, website and a normalised industry classification mapped to NAICS. Where available we attach employee size band, estimated revenue band, year founded and basic technographic signals derived from the company's public website.
Records are deduplicated against parcel and address truth, so two listings that resolve to the same physical site are merged into one canonical entity. That keeps your CRM clean and your audience counts honest.
Coverage and refresh cadence
Coverage spans all 50 US states, with depth in metros where the SpotOn USA network operates a dedicated local site (for example SpotOnFlorida.com). The full set is refreshed monthly; high-change fields such as status, address and phone are reconciled against local-news signals between refreshes.
Every record carries a 'last verified' timestamp and a source-confidence score, so downstream systems can decide which fields to trust and when to re-enrich.
How growth teams use it
Sales teams use US Company Data to build territory lists that match an ICP — for example 'independent insurance agencies in Florida with 5–25 employees'. Marketing teams use it to size addressable markets per state and to plan local media against SpotOn USA inventory. RevOps teams use it to enrich inbound leads in real time and to keep CRM hygiene high.
Product teams embed the data into proptech, fintech and SMB SaaS workflows where verified business identity is the difference between a clean signup and a fraud review.
Why it helps with AI search visibility
Large language models and AI-search engines such as ChatGPT, Perplexity and Google AI Overviews increasingly cite structured local sources. When your company sits in a verified, well-described record on a network of trusted local news sites, you become easier for AI assistants to find, cite and recommend.
We expose company data on local SpotOn USA pages with consistent schema.org markup, which is exactly the signal AI crawlers look for when they decide who is authoritative for a place and a category.
How to get access
Sample files, field-level documentation and a license quote are available from the Our Data page. Most customers start with a single state or vertical slice, validate match rates against their CRM, then scale to national coverage.
