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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.