MedullaAI

What is MedullaAI?

MedullaAI is an AI-based platform that captures, measures, and optimizes consumer attention for advertising and creative work using AI and cognitive science. Its core purpose is to help marketing teams move from guessing what will work to analyzing attention patterns and then improving creatives based on that analysis.

The product presents attention-focused outputs such as an overall attention score, a clarity index, and attention maps that show where attention is distributed across ad elements. It also supports creative development workflows that connect creative changes to predicted performance indicators.

Key Features

• Attention analysis and scoring: Provides an Attention Score and other attention-related metrics (including a Clarity Index) to summarize how an ad may be processed by viewers.
• AI eye tracking predictions: Uses AI eye tracking based on uploaded images to generate predictions about likely viewing behavior and potential “blind spots.”
• Real-time focus analytics (attention map): Produces an attention map and top attention areas to identify which parts of an ad tend to draw focus.
• Performance score for ad effectiveness: Computes simplified performance scores (shown as low/medium/high) intended to predict ad performance.
• Creative testing and generation workflows (BETA): Includes tools to upload creative and get an upgraded alternative (before/after comparison) and to generate new ad creatives for a desired campaign objective.

How to Use MedullaAI

1. Start with an ad or creative asset you want to evaluate (the site indicates using an image upload for AI eye tracking).
2. Run attention analysis to view attention-focused outputs such as attention maps and scores.
3. Review the predicted focus patterns (including top attention areas and blind spots) to understand what viewers may notice or miss.
4. Iterate using creative tools (BETA) by generating alternative versions or receiving upgrade suggestions, then compare “before/after” outputs.
5. Use the resulting attention and performance indicators to inform subsequent creative testing and optimization decisions.

Use Cases

• Evaluate an existing ad’s attention distribution: Check where viewers’ attention is likely to land across elements such as product area, headline, and CTA (as shown in the site’s example attention map breakdown).
• Diagnose missed or low-salience areas: Use the AI eye tracking prediction to identify potential blind spots and adjust layout or emphasis accordingly.
• Improve creative clarity and comprehension: Apply changes suggested by attention-related metrics such as the clarity index to make key elements easier to notice and process.
• Generate objective-aligned ad variations (BETA): Create ad creative alternatives for a specific campaign objective and use the outputs to support structured creative iteration.
• De-risk spend with predictive indicators: Compare predicted engagement/awareness/conversion-related metrics and performance scores to prioritize which creative directions to test.

FAQ

• What inputs does MedullaAI use? The site states that you can upload your image to receive AI eye tracking predictions and to support creative upgrade workflows.

• What kinds of outputs does it provide? MedullaAI provides attention-focused metrics (e.g., an attention score and clarity index), attention maps/top attention areas, and predicted performance indicators and scores.

• Does MedullaAI measure attention in real time? The product page describes real-time focus analytics and attention maps; the exact measurement method is not detailed beyond AI/cognitive-science-based analysis.

• Is creative generation available? Yes—creative generation is described as BETA, with the ability to generate high-performing ad creatives for a desired campaign objective.

• Is there pricing or a free trial? The page mentions “Get FREE Insights” and book a demo, but it does not provide pricing details or full self-serve trial terms.

Alternatives

• In-house usability and visual analytics tools: Alternatives in this category focus on layout and visual comprehension, but typically don’t provide the same attention-score/attention-map workflow tied to ad-specific creative iteration.
• Specialized eye-tracking platforms: These can provide attention measurement via hardware or established testing setups; MedullaAI differentiates by using AI eye tracking predictions rather than requiring the same lab setup.
• Marketing creative testing platforms: Tools designed for A/B testing and performance measurement may focus more on post-launch outcomes, while MedullaAI positions attention modeling and predicted performance earlier in the creative process.
• General AI design assistants with performance guidance: Some tools support generating ad variations, but may not include an attention-map/attention-score style analysis that connects creative elements to predicted attention patterns.