Ten agent workflows for Criteo's programmatic trading operations — real-time bidding optimization, supply path intelligence, inventory quality scoring, deal ID analysis, SSP ecosystem mapping, bid shading intelligence, contextual targeting enrichment, frequency capping optimization, viewability prediction, and programmatic guaranteed deal sourcing across 100M+ domains.
AI agent maps supply paths across SSPs by analyzing /api, /partners, and /docs pages — identifying the most efficient routes to premium publisher inventory and eliminating redundant intermediaries that inflate CPMs without adding value.
AI agent scores publisher inventory quality by analyzing domain-level signals — PageRank, Domain Ages, Web Filtering Categories, and IAB Categories — to create a real-time quality score that feeds into Criteo's bidding algorithm for premium inventory prioritization.
AI agent enriches contextual targeting by mapping IAB Categories and Personas across 100M+ publisher domains — enabling Criteo to deliver highly relevant ads based on page-level context without relying on user-level tracking or third-party cookies.
AI agent optimizes bid shading by analyzing publisher domain characteristics and auction dynamics — using PageRank, traffic patterns, and historical win rates to determine the optimal bid reduction below first-price auction clearing prices without sacrificing win rate.
AI agent identifies premium publishers for programmatic guaranteed (PG) deals by analyzing /about, /investors, /press, and /products pages — scoring publishers by brand safety, audience quality, and content premium to automate deal sourcing for Criteo's largest advertisers.
AI agent maps the Connected TV landscape by analyzing streaming platform domains — /products, /api, /partners, and /press pages — to identify premium CTV inventory sources and optimize Criteo's programmatic CTV buying strategy.
AI agent optimizes cross-domain frequency capping by mapping publisher domain relationships — identifying domains owned by the same media company using /about, /legal, and /leadership pages to prevent ad fatigue across publisher portfolios.
AI agent predicts ad viewability by correlating publisher domain characteristics with historical viewability data — using PageRank, content type (IAB Categories), and page structure signals to pre-filter low-viewability inventory before bidding.
AI agent provides real-time auction intelligence by monitoring bid request patterns across SSPs — using domain-level signals to detect auction anomalies, bid floor manipulation, and inventory misrepresentation that could impact Criteo's programmatic efficiency.
AI agent identifies cross-exchange arbitrage opportunities and inefficiencies by mapping the same publisher inventory across multiple SSPs — detecting price discrepancies, inventory duplication, and optimal exchange selection using domain-level matching.
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