What the auction already knows about every publisher
AfterBid reads what each publisher's pages and auctions actually show, and checks it against the ads.txt and sellers.json files that declare who may sell it.
The numbers come from code. AI interprets them. Every finding is labelled, so a claim is never mistaken for a fact.
Live demand
Which buyers bid on each page and, where visible, at roughly what prices. Deal floors are then set against what the market actually pays.
Competitive presence
Which brands' ads appear on the same inventory, based on the ads AfterBid observes, so you can lean in, find white space or stay clear.
Supply path
Direct or resold, and whether every hop is declared in both ads.txt and sellers.json. Fewer intermediaries between spend and publisher.
Context
Sections and verticals read from the page itself, rather than one generic label applied to a whole domain.
AI referral traffic
Which publishers AI assistants send people to once they have done their research, based on licensed third-party traffic data.
Quality and scale
Audience, traffic quality and ad stack health, checked before a single impression is bought.
Built for enterprise trust
Security, governance and human oversight have been part of AfterBid's design from day one. Detailed security documentation is shared privately as part of a client security review.
How a scan works
AfterBid loads each page the way a reader would, records which ad slots fire and which buyers bid, then reads the ads.txt and sellers.json files that declare who may sell it, and checks the two against each other.
Send us a site list and AfterBid scans every domain on it, in any market and any language.
Send us a site listA good price can't override a failed check.
Supply path, suitability, measurability and invalid traffic are hard limits.
See AfterBid on your own site list
Attach an inclusion list to the pilot form and we'll come back with what AfterBid found on every domain.