Machine-First Architecture - Websites built for machines first, humans always.
Definition
Machine-First Architecture is a website optimisation methodology created by Slobodan Manić that treats Identity, Structure, Content, and Interaction as four interlocking pillars, built to make a website equally readable and usable by AI systems and the humans they act for.
I authored the framework to answer one question: how do you build a website that works for everyone and everything that uses it? It is a methodology, not a checklist of isolated SEO tactics, so every pillar gets measured and resolved rather than cherry-picked.
This page explains how I apply the framework in practice. For the full framework, visit machinefirstarchitecture.com, or hear me break it down on the No Hacks podcast.
The framework - Four interlocking pillars
Machine-First Architecture treats these four pillars as one system. A site is only as readable as its weakest pillar, so I measure and fix all four rather than chasing a single metric.
- Identity. Canonical entity definition and a verified sameAs graph, so AI systems know exactly who you are and what your terms mean before they decide whether to cite you.
- Structure. Server-rendered data and a clean schema hierarchy, so the critical information on every page is present without JavaScript and a machine can parse it on the first pass.
- Content. Answer-first, citable passages. Large language models select only around 380 words from any page they cite, so the answer has to be extractable, not buried in unstructured prose.
- Interaction. Machine-readable actions, so an AI agent can complete a task on your site (book, compare, buy) without needing a human to step in and finish the job.
In practice - How I apply it
Every audit I run is grounded in these four pillars. I measure each page template, component, and asset against all four, then document every defect against the pillar it violates. The deliverable is a complete issue register, not a prioritised shortlist, and every item gets resolved or documented with a clear rationale.
The result is a website that loads fast for humans, passes every audit, gets cited by ChatGPT, Claude, Perplexity, and Google AI Overviews because the content is structured to be cited, and lets AI agents complete tasks on it because the interactions are machine-readable.
Ready for humans and AI agents?
The first step for any engagement is a free discovery and scoping session, grounded in the four pillars from the very first review of your site.