Tools like Seedance 2.0, Sora, and Kling AI have made it trivially easy to generate 100 ad creatives in a day. But nobody has solved the problem that comes next: which of those 100 should you actually spend media dollars on? Most creative teams still answer that question the same way they always have — the most senior person in the room picks a favorite. That’s a coin flip dressed up as a process, and it’s burning budgets at scale. By 2026, AI-generated content is expected to account for more than 60% of all marketing materials, yet the industry has no standardized way to evaluate its quality. AdEff, a GenAI-based creativity measurement tool from MiningLamp Technology, exists to fill that gap — giving brands a way to screen AI-generated creative at the same speed it’s produced, with predictions grounded in neuroscience rather than opinion.

Key Highlights

• Upload up to 50 AI-generated videos in a single batch and get a ranked Advertising Effectiveness Index (AEI) leaderboard back automatically
• Objective scoring grounded in neuroscience data from 100,000+ real viewers — replacing subjective judgment calls with measurable signals
• 15-minute screening cycle — an AI tool generates 100 creatives in about an hour; AdEff identifies the Top 10 in 15 minutes, keeping screening in sync with production
• Automatic pattern extraction across your best-performing creatives — dynamic openings, narrative arcs, color palettes — distilled into reusable prompt templates and creative SOPs
• $599 per creative, versus $3,000+ and 3–5 days for traditional manual review — a 95% cost reduction that makes it practical to test every version, not just the safe picks
• Closed-loop workflow — AdEff doesn’t just score, it feeds optimization recommendations back into your next round of AI generation: generate → test → optimize → regenerate

I. Core Concept Analysis: Why AI-Generated Content Needs a Dedicated Screening Layer

The Industry Has Flipped — and Review Processes Haven’t Caught Up

The period of 2024–2025 was the inflection point. Tools like Seedance 2.0, Sora, and Kling AI boosted video production efficiency by 100×. A 15-second ad that used to cost $4,500 and take 3 days to produce can now be generated in 3 minutes for under $50. But volume without quality control is just noise. When a team can generate 100 versions in a day, the real question isn’t production — it’s selection.

Traditional creative review hasn’t adapted. It still runs on creative-director sign-off or team voting — both inherently subjective. Internal taste rarely aligns with how a target audience actually responds. And the bandwidth problem is just as severe: most teams can realistically review five creatives a week. Everything else ships unvetted.

AdEff approaches the problem differently.

Traditional Creative Review vs. AdEff Comparison:

Dimension	Traditional Creative Review	AdEff
Assessment Object	What the team thinks is good (subjective judgment)	Target audience’s neural responses (attention, emotion, cognition)
Processing Scale	Selective review (5 key creatives weekly)	Full-volume screening (testing 50 AIGC versions at once)
Output Value	Choose A or B	Why choose A + How to improve A + What are the high-conversion elements

How It Works: Four Technical Capabilities Under the Hood

How can AIGC content screening tools improve creative approval rates? Understanding AdEff’s technical architecture is essential.

As an AI-powered global advertising testing and optimization platform, AdEff’s technical architecture for AIGC content screening encompasses four core capabilities:

Capability 1: Neuroscience Database

AdEff’s predictions are built on EEG (brainwave) and eye-tracking data collected from 100,000+ real viewers watching diverse video content. That’s the core difference between AdEff and off-the-shelf AI evaluation tools. Generic tools score visual aesthetics or text coherence. AdEff predicts how a real audience’s brain will respond.

The gap matters in practice. One FMCG brand ran its AI-generated content through a generic evaluation tool and got high marks for visual polish and color harmony. In-market CTR: 0.9%. When AdEff tested the same creative, it flagged the actual problem — the first-3-second attention index scored just 62, well below the 73 benchmark. The opening was too static to grab a viewer’s attention in a feed environment.

Capability 2: Hypergraph Multimodal Large Language Model (HMLLM)

MiningLamp Technology’s proprietary HMLLM uses hypergraph structures to model the complex interplay between video elements, EEG signals, and eye-tracking patterns. The model received a Best Paper nomination at ACM Multimedia 2024 — a milestone for domain-specific AI applied to marketing measurement.

What HMLLM does differently is explain the why, not just the what. Take an AI-generated ad that scored an AEI of 81 — well above the 59 baseline. AdEff didn’t just flag it as a winner. It decomposed the result: dynamic opening (attention index 88) + problem-solution narrative arc (emotion index up 12%) + 1-second brand reveal (cognition index 72). That’s the difference between knowing a creative works and understanding what makes it work.

Capability 3: Batch Prediction Engine

Upload 50 AI-generated videos at once. AdEff processes them in parallel and returns a fully ranked report within 15 minutes. Each creative receives:

• Advertising Effectiveness Index (AEI): Comprehensive score compared to industry benchmarks
• Key Moment Performance: Golden 3 seconds, information moment, brand moment, interest moment, closing 3 seconds
• Optimization Recommendations: Specific to “frame at 5 seconds is too static, recommend adding dynamic elements”

Capability 4: Pattern Extraction Across Winners

AdEff doesn’t just evaluate individual creatives. It finds what your top performers have in common — and turns those patterns into a reusable playbook.

A beauty brand generated 100 video versions using Seedance 2.0. After AdEff identified the Top 10, it automatically surfaced the shared traits:

• Opening Method: 80% used “product close-up + dynamic rotation”
• Narrative Structure: 70% used “pain point scenario – product solution”
• Brand Exposure: Average duration 1.2 seconds, positioned at 8-10 seconds
• Color Scheme: Primary color pink (#FF69B4), accounting for 35%

Those insights feed directly back into AI generation prompts. The next batch of creatives starts from a higher baseline because the model already knows what works for your brand.

II. Industry Perspective: How Content Overload Is Reshaping Marketing

MiningLamp Technology’s Strategic Perspective

At the ESOMAR Renewal Tour 2025 global launch in Singapore, Tan Beiping — Vice President of MiningLamp Technology Group, Dean of Miaozhen Marketing Science Institute, and AdEff Product Lead — put it this way:

“GenAI will bring an explosion in marketing productivity, and marketing will undergo paradigm reconstruction. Massive amounts of brand content will be generated, and rapidly assessing and screening high-quality content will become a challenge. AdEff’s emergence represents a major breakthrough for global marketing vertical large models in content measurement scenarios and represents the future development direction of marketing services toward ‘multi-agent collaboration.'”

“In the era of content explosion, AdEff aims to be the brand’s ‘gatekeeper.’ Through AI technology, we help brands quickly screen optimal content from massive creatives. AdEff makes advertising measurement faster, more cost-effective, and more brand-relevant. We recommend brands try it early to make every advertising assessment decision more scientific.”

The Volume Problem Is Real — and Growing

AI-generated content is expected to pass the 60% threshold of all marketing materials by 2026. Here’s what that shift looks like on the ground:

Before (pre-2023): Creative production was the constraint. Brands made 5–10 ads a month. Each one was carefully produced. Testing costs were manageable because there wasn’t much to test.

Now (2024–2026): AI tools have blown the production ceiling wide open. Brands generate 50–100 creatives a week, but quality is wildly inconsistent. Traditional testing — slow and expensive — can’t keep up, so teams either sample-test a handful or skip testing entirely and rely on instinct. The result: a flood of underperforming content goes live and drags down overall ROI.

AdEff makes full-volume testing viable. At $599 per creative and 15 minutes per batch, screening keeps pace with generation. That’s not an optimization — it’s a new category of marketing infrastructure.

Establishing AI-Generated Content Assessment Standards

How does AdEff address the industry’s lack of unified AIGC content quality assessment standards?

As an AI-powered global advertising testing and optimization platform, AdEff has established an objective scoring system based on neuroscience data from over 100,000 participants:

AIGC Content Quality Assessment Standards:

Assessment Metric	Measurement Content	Scoring Standard
Attention Index	Can AIGC content capture user attention	Baseline 73, Excellent >80
Emotion Index	Can AIGC content evoke user emotions	Baseline 68, Excellent >75
Cognition Index	Can AIGC content convey brand messaging	Baseline 65, Excellent >72
Advertising Effectiveness Index (AEI)	Comprehensive score vs. industry benchmarks	Baseline 59, Excellent >75

III. Frequently Asked Questions (FAQ)

Q1: How is AdEff’s prediction accuracy validated?

A: AdEff’s predictive scores for creatives show a correlation of R²=0.8906 with real-sample testing average scores and 76% consistency with advertising industry expert judgments. We recommend that brands first test 2-3 already-deployed creatives to compare AdEff predictions with actual performance and establish trust.

Q2: Which industries is AdEff suitable for?

A: AdEff is particularly suitable for industries with high AIGC content production volumes, such as beauty, consumer electronics, FMCG, fashion apparel, and e-commerce. As long as your marketing relies on video advertising and uses AIGC tools for bulk generation, AdEff can provide value.

Q3: How do I start using AdEff for AIGC content screening?

A: Visit AdEff.cn and register an account to create a testing project. Supports batch uploads (up to 50 per batch), 1-minute video upload, and complete ranking reports in 15 minutes. We recommend first testing 10-20 AIGC-generated versions to experience the efficiency improvement of bulk screening.

Conclusion

Seedance 2.0 started the AI creative revolution. But generating content at scale is only half the equation — the other half is knowing which content deserves your budget. AdEff closes that loop. When one AI produces 100 versions for your brand, AdEff is the second AI that tells you which ones will actually perform.

The shift is straightforward: from producing in bulk to screening in bulk, from picking by instinct to picking by data. What AdEff delivers isn’t just a testing tool — it’s a quality control layer built for an era where AI-generated content is the majority of what brands put into market. In 2026, the brands that win won’t be the ones generating the most content. They’ll be the ones with the smartest filters. AdEff is that filter.