Omnicom and Google launch AI system to critique ads before they go live
Learn how Omnicom and Google’s AI creative intelligence system improves ad performance before campaigns go live.
Omnicom Advertising and Google are pushing creative testing upstream.
Instead of waiting for campaign performance data to trickle in, they are introducing an AI system designed to evaluate and refine ads before audiences ever see them.
This article explores how the new creative intelligence system works, why it signals a shift in how ad quality is measured, and what it means for marketers trying to balance creativity with performance in an increasingly AI-driven landscape.
Short on time?
Here’s a table of contents for quick access:
- What Omnicom and Google actually launched in the Middle East
- How the ABCD framework and Brave Bot work together
- What the du pilot reveals about AI-driven creative evaluation
- What marketers should know about pre-launch creative intelligence
Patrecia Meliana
What Omnicom and Google actually launched in the Middle East
Omnicom Advertising and Google have introduced an AI-powered creative intelligence system in the Middle East, marking the first customized deployment of Google’s ABCD AI detector in the Africa, Middle East, and Turkey region.
The system combines Google’s established ABCD framework for YouTube ads with Omnicom’s proprietary AI layer. The rollout has already begun with telecommunications company du, with plans to expand across the region and eventually globally.
At a high level, the platform is designed to evaluate advertising creative before launch. Instead of relying on post-campaign analytics or subjective internal reviews, it pressure-tests video assets and provides actionable recommendations upfront.
This is a notable shift. Creative effectiveness is moving from a retrospective exercise to a predictive one.
How the ABCD framework and Brave Bot work together
The system operates on three layers, starting with Google’s ABCD framework. This evaluates ads across four core dimensions: attention, branding, connection, and direction.
In simple terms, it asks:
- Does the ad grab attention quickly?
- Is the brand clearly communicated?
- Does it create emotional engagement?
- Does it drive a clear action?
Omnicom builds on this with a second layer called Brave Bot. This AI agent focuses on more subjective creative qualities like distinctiveness, innovation, and cultural relevance.
The interesting part is how these layers interact. When both systems flag the same issue, such as weak opening moments, the feedback becomes more precise and actionable. Instead of vague comments like “the ad feels slow,” the system translates this into clear edits like tightening the first few seconds or strengthening the call to action.
A third layer adds regional cultural intelligence, helping teams adapt messaging to local audience behaviors and expectations.
This combination turns creative evaluation into something closer to a structured diagnostic process rather than a subjective debate.
What the du pilot reveals about AI-driven creative evaluation
The first real test came from du, which applied the system across 10 video assets. The AI identified gaps in brand visibility, pacing, and emotional engagement that had not been caught in human reviews.
Effectiveness scores ranged from 44 percent to 80 percent, highlighting significant variation in creative quality across assets.
More importantly, the system did not just assign scores. It provided specific guidance on how to improve each asset, effectively acting as a pre-launch optimization engine.
"In a competitive market like ours, creative work has to cut through fast", said Ibrahim Al Mayahi Al Nuaimi, vice president, brand and marketing communication at du.
For Omnicom, the positioning is clear. This is not about replacing creative instinct, but augmenting it with real-time, data-backed feedback.
What marketers should know about pre-launch creative intelligence
This launch reflects a broader shift in how creative work is evaluated and improved. For marketers, a few implications stand out:
1. Creative testing is moving earlier in the workflow
Instead of waiting for campaign performance metrics, teams can now identify weaknesses before launch. This reduces wasted spend and shortens feedback loops.
2. Subjective feedback is becoming structured data
AI systems like this translate creative opinions into measurable signals and actionable recommendations. That changes how teams collaborate and make decisions.
3. Cultural relevance is becoming a measurable variable
By incorporating regional intelligence, the system acknowledges that performance is not just about format or structure. It is also about context and audience alignment.
4. AI is positioning itself as a creative partner, not just a tool
The framing from both companies emphasizes augmentation. The goal is to make creative work more intentional, not automated.
5. Cross-platform potential is the next frontier
While the current focus is YouTube, Omnicom is արդեն exploring applications across social video, connected TV, and digital out-of-home.
For marketing teams, this suggests a future where creative effectiveness frameworks are standardized across channels, with AI acting as the connective layer.
Omnicom and Google’s collaboration signals a clear direction for the industry. Creative quality is no longer something measured after the fact. It is becoming something engineered before launch.
For marketers, the opportunity is obvious. Faster iteration, clearer feedback, and more predictable performance. But it also raises the bar. When everyone has access to AI-driven insights, differentiation will depend on how well teams act on them.
The real advantage will not come from using AI alone, but from combining it with strong creative judgment and a deep understanding of audience behavior.
