Ten agent workflows for Criteo's creative team — dynamic creative optimization, product catalog intelligence, landing page analysis, creative performance prediction, contextual creative matching, seasonal creative adaptation, competitive creative analysis, format optimization, personalization signals, and creative compliance monitoring across 100M+ domains.
AI agent enhances Criteo's DCO engine by feeding domain-level context signals — IAB Categories, Personas, and PageRank — into creative selection, ensuring the most relevant product images, copy, and CTAs are shown based on the publisher domain context where the ad appears.
AI agent analyzes advertiser /products pages to extract product attributes, pricing, and imagery data — feeding this intelligence into Criteo's creative engine to generate the most compelling product-level ads with accurate, current information.
AI agent analyzes advertiser landing pages to ensure creative-to-landing-page consistency — checking that the products, prices, and offers shown in Criteo ads match what users find on the destination page, reducing bounce rates and improving conversion.
AI agent detects seasonal trends by analyzing /products, /blog, and /events pages across advertiser domains — automatically triggering seasonal creative templates, holiday themes, and event-driven designs to maximize campaign relevance during peak shopping periods.
AI agent monitors competitor advertiser domains — /products visual styles, /blog content approaches, and /press brand messaging — to identify creative trends and differentiation opportunities for Criteo's advertiser campaigns.
AI agent optimizes ad format selection by analyzing publisher domain characteristics — matching native ads to editorial sites, display banners to utility sites, and video to entertainment domains based on IAB Categories and PageRank to maximize engagement.
AI agent extracts personalization signals from domain intelligence — using Personas, IAB Categories, and geographic data to personalize creative elements (colors, copy, imagery) for different audience segments without individual user data.
AI agent predicts creative performance before launch by analyzing the target publisher domain mix — using historical CTR data correlated with IAB Categories, PageRank tiers, and Persona distributions to forecast creative engagement rates.
AI agent monitors creative compliance by checking ad content against publisher /legal and /compliance requirements — ensuring Criteo's ads meet category-specific regulations (pharma disclaimers, alcohol age-gates, financial disclosures) across different publisher contexts and geographies.
AI agent optimizes A/B testing strategy by analyzing publisher domain characteristics — segmenting tests by IAB Category, PageRank tier, and Persona type to generate statistically significant results faster and discover context-specific creative winners.
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Subscribe to the AI Agent Domain Database — continuous access to 100M+ domains, 20 page types each, quarterly refreshes, and real-time change signals.
Annual subscription includes quarterly data refreshes, change detection alerts, and priority API access.