Ten agent workflows for the ad-tech platform's publisher partnership operations — publisher quality scoring, inventory monetization analysis, header bidding intelligence, content categorization, publisher revenue optimization, ad density assessment, premium publisher identification, audience overlap analysis, publisher health monitoring, and competitive yield benchmarking across 100M+ domains.
AI agent scores publisher quality using multi-dimensional domain signals — PageRank for authority, Domain Ages for trustworthiness, IAB Categories for content classification, and Web Filtering Categories for brand safety — enabling the platform to tier publishers and optimize yield.
AI agent maps the header bidding landscape across publisher domains by analyzing /api, /partners, and /docs pages — identifying which SSPs publishers integrate with, the ad-tech platform's competitive position in the header bidding wrapper, and opportunities to increase win rates.
AI agent categorizes publisher content using IAB taxonomy across 100M+ domains — enabling precise contextual ad matching without relying on page-level crawling, providing instant categorization for new and long-tail publishers entering the ad-tech platform's network.
AI agent optimizes publisher revenue by analyzing ad density, content quality, and audience value signals — recommending optimal ad placement strategies, floor prices, and format mix to maximize eCPM without degrading user experience.
AI agent identifies new premium publisher partners by scanning 100M+ domains for high PageRank, established Domain Ages, clean Web Filtering, and premium IAB categories — building a pipeline of quality publishers for the ad-tech platform's direct partnership program.
AI agent analyzes audience overlap between publishers using Personas and IAB Categories — identifying publisher clusters with similar audiences to optimize frequency management and cross-publisher campaign reach for the ad-tech platform's advertisers.
AI agent continuously monitors publisher domain health to detect quality degradation, content pivots, or financial distress — protecting the ad-tech platform's inventory quality by flagging publishers before problems impact advertiser campaigns.
AI agent evaluates ad density and user experience across publisher domains by analyzing page structure signals and content-to-ad ratios — identifying publishers with excessive ad load that hurts advertiser performance and the ad-tech platform's brand reputation.
AI agent benchmarks the ad-tech platform's publisher yield against competitors by monitoring SSP /partners pages, publisher /about disclosures, and /press announcements — providing publishers with competitive yield data to strengthen the ad-tech platform's partnership value proposition.
AI agent discovers new publisher segments by analyzing domain intelligence patterns — identifying emerging content verticals, new media formats, and niche publisher clusters that represent untapped inventory opportunities for the ad-tech platform's commerce media campaigns.
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