The Science Behind Aceiba

Claude AI examines your creative and identifies visual elements, emotional triggers, cognitive complexity, and demographic relevance. Every output is prompted with context from 30+ peer-reviewed neuroscience papers — not generic image captioning.

Seven cognitive dimensions are scored using our neuromarketing framework grounded in published research. Each dimension maps to specific brain regions and behavioral outcomes — calibrated against EEG data from real subjects.

The Aceiba Behavioral Engine runs every creative through a structured audit of 50 decision-science principles. Each violation surfaces with a specific fix and a projected performance impact — calibrated against published research on human decision-making.

Measures how quickly the eye locates the primary subject and whether the visual hierarchy guides attention toward the intended focus point. High scores indicate a clean, hierarchical layout with minimal competing elements.

Quantifies the strength of the emotional signal triggered by the creative. Draws on amygdala activation patterns from 1,280 EEG recordings. Reflects emotional valence and arousal intensity, not just sentiment polarity.

Predicts encoding strength in the hippocampus and ventromedial prefrontal cortex. High retention scores correlate with distinctive visual motifs, early brand placement, and emotional anchoring that activates memory consolidation circuits.

Calibrated against the NeuMa dataset — 42 participants making real purchase decisions under simultaneous EEG and eye-tracking. Measures dopaminergic reward pathway activation in the nucleus accumbens and orbitofrontal cortex.

Measures activation in the dorsolateral and anterior prefrontal cortex — regions that govern working memory and executive control. High cognitive load predicts viewer disengagement. Lower scores indicate messages that parse fast and land clean.

Tracks activation in the superior temporal sulcus and temporoparietal junction — the brain's social cognition centers. High scores indicate strong social mirroring: the viewer sees themselves or someone they identify with in the creative.

Measures how efficiently the visual cortex processes the creative and how quickly the prefrontal cortex assigns meaning. Slow processing speeds correlate with visual clutter, unclear hierarchy, or a mismatched emotional tone that forces the brain to re-scan.

A/B creative ranking — compare two versions and get a clear cognitive winner before committing media budget

Pre-flight validation — catch attention failures, cognitive overload, and weak purchase triggers before launch

Friction mapping — pinpoint exactly which visual elements create processing resistance

Impact prioritization — rank recommended changes by their projected neural effect, not guesswork

A medical instrument — Aceiba measures marketing performance, not neurological health

A crystal ball — scores describe population-level patterns, not how any individual will respond

A replacement for human judgment — use Aceiba to sharpen creative decisions, not to make them automatically

Pixel-perfect — a 7-point score difference is meaningful; a 1-2 point difference sits within normal variance