How optml works.

Capture any creative.
Test it across real marketing contexts.
See what to fix before you spend money.

Workflow

Step 1

Capture creative

Screenshot any ad or landing page — or upload a creative asset.

Step 2

Confirm elements and context

Review detected elements (headline, CTA, logo, imagery) and select the marketing context. This ensures the analysis matches how the creative will actually be used.

Step 3

Generate report

Analyze visual impact, cognitive load, and contextual performance in minutes.

Step 4

Explore insights

See where it will perform, what's hurting conversion, and how to improve it.

Inside the Report

Every report turns your creative into a clear performance breakdown.

Overview Tab

Clear snapshot of performance scores and priority fixes.

Heatmap Tab

See predicted attention flow and visual hierarchy issues.

Contexts Tab

Test how the creative performs across different marketing environments.

Score Drivers Tab

Understand exactly what's pushing performance up or down — and what to change.

AI Chat

Ask direct questions about your creative and get actionable recommendations.

Why context determines performance

Creative doesn't fail randomly. It fails when attention, relevance, and cognitive clarity break down.

Visual Attention

In crowded digital feeds, attention is the first filter. If visual hierarchy is weak, your message is ignored.

optml models attention flow and visual weight to predict whether key elements (headline, CTA, product) are seen first or missed entirely.

User Relevance

Relevance changes depending on where the user is in their decision journey. A creative built for exploration performs differently in a conversion-focused environment.

optml evaluates whether your message intensity, CTA strength, and information density match the selected marketing context.

Cognitive Load

When a creative asks the brain to process too much, performance drops. High cognitive load reduces clarity and slows decision-making.

optml analyzes structural complexity, message density, and competing focal points to estimate whether your creative feels intuitive or overwhelming.

The Science Behind the Performance Scores

optml combines visual modeling, behavioral research, and machine learning to simulate how creatives perform before launch.

Behavioral Research Foundation

Trained on multi-year research into visual attention, consumer decision triggers, and message processing patterns.

Behavioral Prediction Models

Machine learning models trained on large-scale creative performance data to estimate visual impact and contextual fit.

Visual Attention Modeling

Predictive heatmap simulations estimate how users scan and process your creative.

Natural Language AI Layer

NLP enables conversational analysis of your creative so you can ask direct questions about performance and improvement.

Continuous Model Refinement

The system improves as more creative performance data is analyzed.

Built for Fast Iteration

Fix → Re-test → Improve → Launch with confidence.

Validate changes in minutes and iterate before spending real budget.

optml is designed for pre-launch validation.

Free 3 tests · No credit card required