Eskimi launches DeepContext to deliver AI-driven contextual advertising across global markets

Eskimi Launches DeepContext: AI-Driven Contextual Advertising Tool

Eskimi, a global media and creative technology platform, has introduced DeepContext — an AI-powered solution that helps advertisers build and activate brand strategies based on contextual advertising. This tool analyzes the meaning behind content, monitors websites in real time, and supports nearly all world languages, making advanced contextual targeting accessible across both mature and emerging markets.

Marcel Sandoval, Chief Product Officer at Eskimi, explains: “The complexity of cultural, linguistic, and digital contexts often makes it challenging for advertisers to stay relevant. DeepContext opens the door for them to build more authentic strategies and activate them at scale. It makes it possible to implement these plans efficiently, ensuring campaigns remain relevant in real time in any market.”

How DeepContext Works

DeepContext allows agencies and brands to create or upload brand blueprints — strategic guidelines that define how a brand should appear in digital environments. Once set, the platform evaluates and classifies ad placements based on how well they fit these brand-specific requirements.

Unlike traditional keyword-based methods, DeepContext assesses the entire page’s content, including tone, sentiment, and themes. This ensures the ad matches the brand’s custom blueprint for maximum relevance. The platform provides real-time insights and transparent reasoning for placements, improving brand safety by reducing false blocks while keeping ads contextually relevant.

Additionally, DeepContext uses real-time website monitoring, which ensures ad placements appear on newly published and highly relevant web pages. Its support for most world languages enables advertisers to expand reach beyond traditional markets.

Why Contextual Advertising Matters

Contextual advertising focuses on the current content and context of a page rather than relying on user behavior data. This approach aligns ads naturally with user intent, improving engagement and relevance. It also creates a seamless experience where ads feel helpful rather than intrusive.

• Improves ad relevance by matching ads to page content
• Enhances user experience by respecting context and intent
• Supports brand safety with smarter placement decisions
• Enables targeting in multiple languages and markets

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