Company-Linked Business Contact Data with Location Information pairs person-level contacts with company size, revenue, industry, and geography so your team reaches the right person at the right company in the right territory. Stop building lists from three disconnected sources and start running campaigns the day you access the data.

Most data vendors sell you a national license to millions of records you will never contact. BigGeo works differently.You tell us where you sell, and we cut you exactly that geographic slice of the dataset. A single city.
A cluster of ZIP codes. A metro area. A county. Whatever matches your territory. The result is a lean, CRM-ready file containing only the companies in the markets you actually work, delivered at a fraction of the cost of a full national license.

Inside sales teams are stitching together contact lists, firmographic enrichment, and territory maps from tools that were never designed to work together. The result is reps spending hours on research that should take seconds, campaigns that miss geographic boundaries, and pipeline that looks healthy until you realize half the contacts belong in the wrong territory.
Every person-level contact arrives pre-linked to company size, revenue range, and industry so your team can filter, score, and sequence without a separate enrichment step.

Location data tied to each record enables true spatial targeting. Assign contacts to local reps by drawing a territory boundary, not by guessing at zip code ranges.

Filter your addressable universe by vertical and company revenue band before a single email goes out. Build sequences calibrated to the actual economic profile of the company, not a generic persona.

Every record carries source-year attribution so you know the vintage of what you are sending into a sequence. No black-box lists. No mystery about when data was last verified.

BigGeo AI is live inside ChatGPT today and shipping in Claude, giving your team direct access to governed contact and firmographic data through the tools they already use. Instead of pulling a list, filtering in a spreadsheet, and handing it to an analyst, a rep or demand gen manager can ask a plain-language question and get a precise, data-grounded answer in seconds, with no GIS software and no specialist required.
Every record in this dataset carries source-year attribution so you can see exactly when it was last verified. Inside BigGeo DataLab, you can layer your own engagement data on top to flag contacts that have already been touched, giving you a live picture of freshness rather than a static export date.
Yes, that is one of the primary use cases. Because every contact is tied to WGS84 coordinates, you can define territory boundaries by drawing a polygon in BigGeo DataScape or running a proximity query, and the assignment logic executes at the spatial layer without any GIS specialist involvement. What used to require a consultant now takes minutes.
Company size and revenue range are linked at the record level, sourced from Mountaintop Data's verified firmographic layer. The attributes are structured for direct use in scoring models, not for directional reference only. You get industry classification alongside size and revenue so segmentation logic can run immediately on activation.
Once you access the dataset through the BigGeo Marketplace, it lives in DataLab where you can combine it with your CRM exports, run spatial queries, and push outputs to your sequencing or CRM platform. BigGeo AI also provides direct query access through ChatGPT today, meaning your reps can interrogate the data without touching a pipeline or writing a single line of code.
Request a sample through this page and the BigGeo team will scope the relevant geographic and firmographic slice for your market in advance of the conversation. The goal of that first call is to answer whether the data covers your territory and ICP before you commit to anything, not to walk you through a product demo.