Frontier AI marketing experiments.

Through MMA's AI Leadership Think Tank (ALTT), member brands run controlled experiments at every stage of the AI ad funnel — creative, evaluation, personalization, audience discovery, contextual targeting. 29 experiments completed across 18 global brands. Average lift over baseline: +160%.

These are not vendor pitches. They're co-funded, partnered research with real campaigns and real spend. I run the program with MMA.

// most pilots are free for MMA member brands. participation requires MMA membership.


[01]

CAP — Consortium for AI Personalization

AI personalization, proven

Production AI personalization model. 29 experiments, 18 brands, 4 countries. Recruiting for the next wave: video / CTV, brand lift, offline sales, cross-channel.

proof +160% average lift in advertising performance
status ongoing — 2+ years
setup 4 weeks to set up, 4-week campaign minimum
cost $35k package (excludes media)
partner Claritas + Rex Briggs
mmaglobal.com/cap ↗
[02]

A³ — Agentic AI Advertising

Agentic creative generation, end to end

Generate and iterate short-form video and other creative through Monks.flow, from research/brief through storyboard to final assets. Research-environment evaluation built in.

proof Pilot phase, 2 waves completed, recruiting for waves 2 & 3
status active
setup 2-4 weeks, no live deployment required
cost free
partner Monks
mmaglobal.com/a3 ↗
[03]

ACE — AI Creative Effectiveness

Pre-launch creative scoring

AI extracts the visual + linguistic features that drive performance for a given brand, then scores new creative pre-launch and recommends edits. Predicts conversion impact before spend.

proof Launched May. 2 pilots done, recruiting brands.
status active
setup 3-4 weeks
cost free
partner Vidmob + Celtra
mmaglobal.com/insights/ai-creative-effectiveness-ace ↗
[04]

AURA — AI Uncovering Responsive Audiences

AI-first audience discovery

Surfaces high-response cohorts continuously across CLV, CPA, conversions, and engagement signals. 300 campaigns analyzed — 90% of cases showed incremental conversion improvement.

proof +22-24% average lift; new cohorts identified
status recruiting for first wave
setup 1-2 weeks setup, 4-week campaign
cost free
partner Claritas + Rex Briggs
mmaglobal.com/insights/ai-uncovering-responsive-audiences-aura ↗
[05]

SIFT — Semantic & Intent Fusion Targeting

LLM-powered contextual targeting

Contextual targeting that uses precomputed LLM embeddings across a 4-billion-URL index. Infers page content semantically rather than matching keywords. Runs at programmatic speed.

proof Recently launched, recruiting brands for pilot
status recruiting
setup 2-3 weeks setup, 4-week campaign
cost free
partner Cognitiv
mmaglobal.com/insights/semantic-intent-fusion-targeting-sift ↗
[06]

ARC — Answer Engine Optimization via Reddit

How Reddit communities shape AI answers

Tests and quantifies how activating Reddit communities influences Answer Engine Optimization (AEO) and branded responses surfaced inside AI assistants.

proof Evaluating — phase 1 likely converts to a research report
status WIP
setup TBD
cost TBD
partner Reddit
mmaglobal.com/marketing-arenas/ai ↗
[07]

GASP — Gen AI Search Performance

Brand visibility in AI answers, measured

Measures how often a brand surfaces in AI-generated answers (ChatGPT, Gemini, Perplexity), then tests which content changes actually move that visibility — baseline, intervention, control. Built to show cause, not correlation: the pages models cite often aren't the ones that rank in classic search.

proof #27 → top 10 in AI answers for one brand; one article became the cited source for 60 questions; a new brand cited in ChatGPT within 10 days
status recruiting interest
setup TBD
cost TBD
partner Bodhium Labs (Prof. Kartik Hosanagar, Wharton)
mmaglobal.com/insights/gen-ai-search-performance-gasp ↗

The labs aren't independent — they form an end-to-end AI ad engine. Create → evaluate → optimize → discover → target. Each stage has a lab; each lab feeds the next.

  1. we create
    A³ — Agentic AI Advertising generate creative assets (video, display, audio) at scale
  2. we evaluate
    ACE — AI Creative Effectiveness score new creative pre-launch, predict conversion impact
  3. we optimize
    CAP — Consortium for AI Personalization message personalization. proof: +160% avg lift
  4. we discover
    AURA — Uncovering Responsive Audiences find new high-response cohorts continuously
  5. we target
    SIFT — Semantic & Intent Fusion contextual targeting using LLM embeddings at programmatic speed

If you're a brand or platform interested in participating, joining a pilot, or proposing a new experiment, the fastest path is through MMA membership — most labs are free for member brands.

If you want my read on which lab fits your stack and goals, tell me about your setup.