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Oct · 7 min read
sync_audiences, get_signals and activate_signal explained: how buyer agents bring first-party lists and third-party signals into a buy, what changes for data providers and publishers, and what to ask about privacy.
Oct · 7 min read
adagents.json lets a publisher name the AI sales agents allowed to sell its inventory. How buyer agents check it, how it extends ads.txt and sellers.json, and a checklist for publishers.
Oct · 7 min read
B2B audiences are small and buying cycles are long. AI agents help only when the mandate locks the account list, the publisher set, pacing and exposure limits, so spend reaches the accounts that matter.
Oct · 7 min read
Five checks before a publisher accepts an AI buying agent's terms: who the principal is, mandate evidence, Agent Registry listing, negotiation behaviour and a shared record of what was agreed.
Oct · 7 min read
ads.txt and sellers.json identify sellers in the bid stream, not AI agents. How IAB Tech Lab's Agent Registry and AdCP's adagents.json approach agent identity, and what publishers still need to check.
Oct · 7 min read
Buyer agents compare offers across sellers and never tire of countering. Publishers need floors written as policy: list price, walk-away price, fixed quality terms and clear concession rules.
Oct · 7 min read
IAB Tech Lab's AAMP publishes a reference seller agent, but running one is a long-term commitment. Most publishers should borrow the agent and own their products, rules and deal record.
Oct · 7 min read
Publishers need five things to accept deals from autonomous advertising agents. Four are documents and decisions a sales team can produce; only the agent itself needs engineering.
Oct · 7 min read
OpenProposal, part of IAB Tech Lab's AAMP 3.0, standardises how publishers define products and packages and represent them in RFP responses, so buyer agents can compare offers in one format.
