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Every accounting firm knows the January dread. Preparers sit ready at their dual monitors, practice management software is configured, and yet almost no actual tax preparation occurs. Instead, staff...
Sep 24, 2026/ recent · long reads
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When a prospective client contacts a law firm, the clock starts running immediately. In legal services, responsiveness often determines whether a firm signs a desirable matter or loses it to the...
Sep 24, 2026
Most AI business cases presented to business owners are built on an accounting illusion. A vendor or internal advocate tallies up minutes saved across routine tasks, multiplies that time by an...
Sep 22, 2026/ selected notes
All dispatches →01 / AI Agents
When a founder signs a contract for a static website or an accounting software rollout, the finish line is straightforward. The pages render, the bank feeds sync, the invoices reconcile, and the...
Sep 21, 2026
02 / Playbooks
Over the past two years, almost every founder running a $1M to $10M company has handed generative AI tools to their staff. You bought seats for chat interfaces, added AI writing assistants to your...
Sep 14, 2026
03 / AI Agents
When Anthropic shipped Claude Cowork, it gave knowledge workers a tool that feels like a breakthrough. Instead of pasting paragraphs back and forth into a browser window, you can point Claude at...
Sep 14, 2026
/ the feed · everything we've published
your-generic-schema-is-useless
Kurt Fischman · Feb 22, 2026
AI search optimization is the engineering discipline that structures digital content for citation by large language models and AI-powered search engines. It targets inclusion in synthesized...
Kurt Fischman · Feb 17, 2026
A modular knowledge object is a discrete content unit architected for machine retrieval rather than linear reading. Modular knowledge objects restructure information into atomic, self-contained...
Kurt Fischman · Dec 8, 2025
Answer engine optimization (AEO) is a discipline that remaps buyer discovery from click-based funnels to AI-mediated surfaces where large language models, AI overviews, and answer engines compress...
Kurt Fischman · Dec 6, 2025
Algorithmic literacy is the operational capacity to engineer content that satisfies both machine retrieval systems and human decision-makers. In an era where 40-50% of organic search traffic is...
Kurt Fischman · Dec 3, 2025
AI search is not a separate channel waiting for its own line item. It is an answer layer already draped across your entire funnel, shaping how buyers discover, compare, decide, and implement. This...
Kurt Fischman · Nov 17, 2025
AI search is not a speculative technology bet. It is a revenue channel that intercepts natural-language intent, reduces discovery friction, and converts earlier in the buyer journey than...
Kurt Fischman · Nov 16, 2025
The search stack has undergone a structural inversion. What began as a crawl-index-rank pipeline for sorting documents by link authority has become a retrieve-generate-cite pipeline for...
Kurt Fischman · Nov 3, 2025
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 Fischman · Nov 3, 2025
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...
Kurt Fischman · Nov 3, 2025
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...
Kurt Fischman · Nov 3, 2025
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...
Kurt Fischman · Oct 30, 2025
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...
Kurt Fischman · Oct 30, 2025
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...
Kurt Fischman · Oct 30, 2025
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,...
Kurt Fischman · Oct 30, 2025
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...
Kurt Fischman · Oct 30, 2025
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...
Kurt Fischman · Oct 30, 2025
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...
Kurt Fischman · Oct 30, 2025
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...
Kurt Fischman · Oct 30, 2025
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...
Kurt Fischman · Oct 30, 2025
Machine-like is the services layer that bridges frontier AI and business operations.