
Entity-Centric Architecture 101
Entity-centric architecture is the knowledge design framework that organizes all content, data, and structured markup around disambiguated entities rather than keywords or pages. Entity-centric...

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Founder, Marshal
Kurt is the CEO of Marshal, the Managed AI Ops company that designs, deploys, and operates AI agents as critical infrastructure for founder-led businesses.

Entity-centric architecture is the knowledge design framework that organizes all content, data, and structured markup around disambiguated entities rather than keywords or pages. Entity-centric...

Embeddings are the numerical representations that AI systems use to measure, compare, and retrieve meaning. An embedding translates text into a vector, a list of numbers in high-dimensional space,...

Chunk engineering is the discipline of structuring content into self-contained, semantically complete units that AI retrieval systems can extract, embed, rank, and cite independently. This article...

Structured data mastery is the discipline of engineering machine-readable markup that transforms generic web pages into entity-resolved, AI-retrievable knowledge assets. This article covers the...

Key performance indicators for AI search optimization measure whether large language models recognize your entity, retrieve it under relevant prompts, and cite it when generating answers. This...

Machine-readable trust assets are structured digital artifacts that encode brand credibility in formats AI systems can parse, validate, and weight during retrieval. This article defines what...

Entity resolution is the process of determining that different records point to the same real-world entity and merging them into a single canonical identity with a persistent identifier. Entity...

AI search optimization is the discipline of engineering brand discoverability, retrievability, and cite-worthiness inside large language models. AI search optimization is not SEO with new...

A content chunk is a discrete, semantically self-contained unit of information that an AI system can retrieve, interpret, and cite without requiring surrounding context. Content chunks are the...

Embedding optimization is the discipline of structuring digital content so that large language models locate, retrieve, and cite your brand at query time. This article explains the mechanics of...
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