ads.txt & sellers.json Tracker

Track any website's ad monetization history through archived ads.txt and sellers.json files. Discover ad network relationships, publisher account IDs, and cross-reference ownership across domains — all via the Wayback Machine.

Last updated:

Ad System DomainPublisher IDRelationshipCert Authority IDFirst SeenLast SeenAppearances
Ad Network / SSPAccount IDsDIRECTRESELLERFirst SeenLast SeenPresence

Select an account ID to search for other domains using the same publisher ID. Uses Wayback Machine CDX wildcard search.

What is ads.txt and why is it an OSINT goldmine?

ads.txt (Authorized Digital Sellers) is an IAB Tech Lab standard requiring publishers to declare every ad network, SSP, and reseller authorized to sell their ad inventory. The file lives at a fixed, predictable path — /ads.txt — on every monetized website. Each line contains an ad system domain, a publisher account ID, a relationship type (DIRECT or RESELLER), and optionally a certification authority ID.

The publisher account IDs are the real intelligence. A Google AdSense pub- ID or an AdX account number is shared across all domains owned by the same entity. If two seemingly unrelated websites share the same publisher ID, they almost certainly belong to the same operator. Archived ads.txt files extend this analysis back years, revealing past ownership, network migrations, and monetization strategies that current files no longer show.

What does sellers.json reveal?

sellers.json is the supply-side counterpart — hosted by ad networks at /sellers.json. It maps publisher account IDs to seller names, domains, and seller types (publisher, intermediary, or both). Cross-referencing an account ID found in ads.txt against the ad network's sellers.json can reveal the legal entity name behind anonymous publisher IDs.

OSINT applications of ad revenue archaeology

Combine the ads.txt Tracker with other Max Intel tools for deeper investigations: use Domain Recon to identify target infrastructure, WHOIS History to correlate ownership changes with ad network migrations, or Wayback Recon to see how a site's monetization evolved alongside its content. Cross-referencing publisher IDs across domains is one of the most reliable techniques for de-anonymizing website ownership networks.

ads.txt Tracker — Frequently Asked Questions

What is ads.txt and why does it matter for OSINT?

ads.txt (Authorized Digital Sellers) is an IAB standard file at /ads.txt on every publisher website. It lists every ad network, SSP, and reseller authorized to sell that site's inventory, along with publisher account IDs. These account IDs are unique identifiers that can be cross-referenced across domains to discover sites owned by the same entity.

How can ads.txt reveal website ownership?

Publisher account IDs in ads.txt (like Google AdSense pub- IDs or AdX account numbers) are shared across all domains owned by the same entity. If two seemingly unrelated websites share the same pub-1234567890 ID, they are almost certainly controlled by the same operator. Archived ads.txt files extend this analysis back in time.

What is the difference between DIRECT and RESELLER?

DIRECT means the publisher directly controls the ad account and sells its own inventory through that ad system. RESELLER means a third-party intermediary is authorized to resell the publisher's inventory. For OSINT, DIRECT entries are more valuable because they indicate a direct business relationship with the ad network.

How does sellers.json complement ads.txt?

sellers.json is hosted by ad exchanges and maps publisher account IDs to seller names, domains, and types. By cross-referencing an account ID from ads.txt against the ad network's sellers.json, you can often reveal the legal entity name behind anonymous publisher IDs — a powerful de-anonymization technique.

Why use the Wayback Machine for ads.txt analysis?

Current ads.txt files only show present-day ad relationships. The Wayback Machine archives these files over time, revealing when ad networks were added or removed, ownership changes, monetization pivots, and historical relationships that no longer exist. This temporal analysis is essential for thorough OSINT investigations.