Global contextual advertising leader Seedtag has announced the launch of its AI Intention Models, a major innovation in privacy-compliant, performance-driven advertising. By analyzing real-time intent signals and behavioral patterns through its proprietary Contextual AI, Liz, Seedtag enables brands to distinguish between casual browsing and high-purchase intent—without relying on personal data.

This advancement represents a significant leap forward in contextual targeting, shifting the focus from broad content categories and static keywords to dynamic, real-time user intent, ultimately bridging the gap between attention and action on the open web.

Innovations of Seedtag's AI Intention Models

1. From Context to Intention: Smarter Ad Placement

• Moves beyond traditional keyword or category-based targeting.

• Analyzes content sentiment, depth, and nuance to assess transactional readiness.

• Identifies whether a user is gathering general information or is ready to make a decision.

2. Real-Time Intent Scoring with Liz, Seedtag’s Contextual AI

• Proprietary AI engine continuously refines intent signals during content analysis.

• Recognizes content distinction—e.g., between an article comparing leasing vs. buying a car (low intent) and an in-depth review targeting buyers (high intent).

• Ensures advertising efforts are targeted toward action-ready audiences.

3. Campaign-Specific AI Training

• Models are trained on intent-labeled datasets tailored to each brand's funnel objectives.

• Dynamic scoring adapts to the specific conversion goals of each campaign.

• Enables flexibility and customization at scale without sacrificing performance.

Strategic Benefits for Brands and Advertisers

1. Efficiency Across the Funnel

• Reduces waste in the mid-funnel by aligning ad placements with users showing strong decision-making signals.

• Optimizes for both reach and profitability, enhancing return on ad spend (ROAS).

2. Dynamic Optimization in Real Time

• AI Intention Models adjust placements on the fly, targeting peak engagement moments.

• Continually improves campaign performance using live contextual feedback.

3. Privacy-Compliant Innovation

• Operates independently of third-party cookies or personal identifiers.

• Aligns with global data privacy standards while maximizing effectiveness through context alone.

Real-World Impact: Nissan’s Success Story

Campaign Overview

• Objective: Boost awareness and consideration for the Nissan Qashqai in the C-SUV segment in Spain.

• Strategy: Engage users during the active evaluation phase using intent-based segmentation.

Results Achieved

• Cost per Quality Visit (CPQV): Reduced by 68% below the target.

• Cost per Lead (CPL): Decreased by 35%, enhancing profitability.

• Qualified Visits: Tripled versus original KPIs, reflecting high-quality engagement.

Brand Perspective

“With Seedtag’s intent-based segmentation, we improved performance across all stages of the funnel while reducing costs significantly. Contextual AI has become essential to our brand performance strategy.”
-  José Manuel Muries, Cluster Director, Nissan United

The Future of Contextual Advertising

The release of Seedtag's AI Intention Models signals a new era in contextual intelligence—one where the line between awareness and conversion is not only measurable but actionable. By integrating advanced intent analysis with dynamic campaign optimization, Seedtag helps brands go beyond visibility and drive real business outcomes.

For marketers navigating a privacy-first world, this innovation delivers a high-performance, data-agnostic alternative to traditional audience targeting—proving that context alone can power precision and profitability at every stage of the funnel.