We study how AI discovers, understands, and recommends products.
Research-grade investigations into the AI discovery layer. Every study states its methodology, its sources, and its verified claims. Not content marketing; measurement.
How AI systems discover, understand, compare, and recommend products, and how retailers control their representation inside those systems.
02 AI SearchHow AI search systems read, structure, rank, and answer from catalogs, feeds, and structured data, and what they can and cannot see.
03 AI CommerceStructural changes in ecommerce driven by AI: catalog architecture, product entities, discovery surfaces, and the new buyer journey.
04 AI AdvertisingHow advertising changes when discovery moves through generative systems: asset economies, AI-optimized campaigns, and brand governance.
05 AI VisibilityMeasuring who gets cited, recommended, and seen across AI search: query sampling, citation extraction, product matching, and scoring.
The AI Commerce Benchmark
A living measurement of how AI engines represent ecommerce catalogs: 12,500+ products, 42,000 queries, 4 engines, refreshed quarterly.
Studies
The first studies are in preparation. AEOcode Research publishes only measurements produced by the AEOcode pipeline: real data, verified claims, human review. No invented content.