llms.txt: What You Need to Know
llms.txt is a lightweight, machine-readable markdown file placed at a site's root that tells large language models what a brand is, where to find clean source material, and how to cite it...
Kurt is the CEO of Machine-like, the Managed Agent Operations platform.
Kurt Fischman
Founder, Machine-like
Articles by Kurt Fischman
Understanding a Canonical Identity Registry
A canonical identity registry is the single, machine-readable record of who an organization is, expressed as stable identifiers, typed attributes, and resolvable links to external knowledge...
Understanding 'Jobs-to-be-Done' as an AI Search Content Strategy
Jobs-to-be-done is the framework that strips AI search optimization down to the only two things that matter: revenue creation and cost reduction. By mapping the specific jobs that AI search...
How Wikidata Enables AI Search Optimization
Wikidata is the structured knowledge layer that gives AI systems the stable identifiers they need to disambiguate, retrieve, and cite real-world entities. This article explains how QIDs, property...
Intro to AI Search Optimization
AI search optimization is the practice of engineering content and structured data so large language models retrieve, cite, and recommend your brand with confidence. This article introduces the...
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...
A Simple Guide to Understanding Embeddings
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 101
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
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...
Core KPIs in AEO and AI Search Optimization
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...
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