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Research areas

Areas of investigation

The taxonomy is intellectual, not editorial: each area answers a specific set of questions about the AI discovery layer.

01 AI Product Discovery

How AI systems discover, understand, compare, and recommend products, and how retailers control their representation inside those systems.

in preparation
02 AI Search

How AI search systems read, structure, rank, and answer from catalogs, feeds, and structured data, and what they can and cannot see.

in preparation
03 AI Commerce

Structural changes in ecommerce driven by AI: catalog architecture, product entities, discovery surfaces, and the new buyer journey.

in preparation
04 AI Advertising

How advertising changes when discovery moves through generative systems: asset economies, AI-optimized campaigns, and brand governance.

in preparation
05 AI Visibility

Measuring who gets cited, recommended, and seen across AI search: query sampling, citation extraction, product matching, and scoring.

in preparation
AEOcode Research

We study how AI discovers, understands, and recommends products. Every study states its methodology, sources, and verified claims.

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Articles AI Commerce Benchmark Research areas About

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