> For the complete documentation index, see [llms.txt](https://aom-1.gitbook.io/aom-wiki/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aom-1.gitbook.io/aom-wiki/getting-started/how-to-use-this-site.md).

# How to use this site

<h2 align="center">The universal language for company-wide marketing</h2>

<h3 align="center">The Anatomy of Marketing (AoM) connects strategy, brand, and execution into a single system your teams and AI can understand, align around, and build on.</h3>

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<table data-view="cards"><thead><tr><th></th><th></th><th></th><th data-type="number"></th></tr></thead><tbody><tr><td><h3>The Model</h3></td><td>💬</td><td>AoM brings marketing together as a complete system, connecting strategy, brand, and execution so every part of your business is working towards the same outcome.</td><td>null</td></tr><tr><td></td><td></td><td></td><td>null</td></tr><tr><td></td><td></td><td></td><td>null</td></tr></tbody></table>

### What is the AoM?

The Anatomy of Marketing (AoM) is the universal language and model that defines how marketing works across a business, connecting decisions, teams, and the AI systems that support them.

### What is this site?

This site is the public, version-controlled reference for the AoM, providing a single source of truth for its definitions, structure, and application.

**Structured for both people and AI**

In technical terms, this functions as an ontology, a knowledge graph, and a schema architecture. In practice, it is a connected system where each component is clearly defined and linked to others.

This allows both teams and AI systems to follow the same structure, rather than working from siloed understandings of marketing

### What this means in practice

The AoM is used as a working reference across a business.

In practice, teams use it to:

* Diagnose issues and prioritise work across the business, particularly in strategy sessions and workshops
* Define and standardise marketing terminology as a single source of truth, supporting shared understanding across teams
* Structure inputs when [working with AI.](/aom-wiki/getting-started/using-aom-with-ai.md)
* Underpin training and education programs