Data Aggregator

What Is a Data Aggregator?

A data aggregator is a company that collects business information — primarily Name, Address, and Phone number, but also categories, hours, websites, and other attributes — from public records, business filings, direct submissions, and other sources. It then licenses and distributes that data to a wide network of downstream publishers: directories, apps, map providers, voice assistants, and navigation systems.

From a local SEO perspective, data aggregators are one of the most efficient points in the local data ecosystem. Correcting your information at the aggregator level can cascade accurate data to dozens or hundreds of directories automatically, rather than requiring manual updates on each platform individually.

The Major Data Aggregators

Four companies have historically dominated the U.S. local business data aggregation market:

Foursquare (formerly known in this capacity through various acquisitions) operates a large location data platform that feeds navigation apps, social platforms, and location-based services. Foursquare data powers integrations across Apple Maps, Samsung, and many enterprise applications.

Neustar/Localeze has long been one of the most influential aggregators in the local search ecosystem, distributing data to Yahoo, Bing, and a wide range of directory publishers. Accurate information in Localeze propagates broadly.

Acxiom is primarily known as a consumer data company, but its business data division supplies NAP information to many directories and data resellers. Errors in Acxiom's records tend to spread widely because so many secondary sources pull from it.

Data Axle (formerly Infogroup) maintains a large database of U.S. and Canadian business records and supplies data to Yelp, InfoUSA, and other major platforms. It is one of the primary data sources that seeds new directory listings.

How Data Flows Through the Ecosystem

The data supply chain works roughly as follows: aggregators collect and normalize business records, then license that data to directories and platforms. Those directories may in turn share data with smaller sites. The result is a web of interdependent records where inaccurate information at one source can propagate outward.

When a business changes its phone number or moves to a new address, those changes take time to propagate through this ecosystem. Aggregators update their records at different intervals, and downstream directories may lag further still. This lag is why NAP inconsistencies are so common and persistent.

Why Aggregators Matter for Local SEO

Search engines, including Google, cross-reference business data against aggregator records when assessing the accuracy and trustworthiness of a listing. A business whose data is consistent across all major aggregators and their downstream directories sends a strong, coherent signal. A business with conflicting records raises doubts that can suppress local rankings.

Submitting or correcting your data directly with major aggregators is one of the highest-leverage actions in a citation-building strategy because a single correction multiplies across many downstream platforms.

Running a scan of your listing health across aggregators and directories — as dilypse.localscan.io does automatically — reveals exactly where your data is correct, where it conflicts, and which aggregators need updating first.