A Node Publishing title · Marcus J. Avery

Entity
Architecture

The New Physics of Search

Building the Semantic Data Structures
that Power AEO and GEO

Paperback and Kindle editions forthcoming.

Entity Architecture: The New Physics of Search, by Marcus J. Avery. Graphite paperback cover with three gold architectural planes and the node symbol.
First edition12 chapters3 internal volumes508-page color paperbackEnglish

The premise

Search is a system
of relationships.

An entity gains meaning through its attributes, its context, and its connections. The book follows that idea into the systems that discover, interpret, and retrieve information.

Across theory, architectural engineering, and operational execution, Entity Architecture examines how the structure of a digital asset affects its interpretation by search engines, answer engines, and generative retrieval systems.

Written for technical SEO practitioners, developers, and content architects who want to connect the underlying models to the work of implementation.

Inside the book

Theory. Architecture.
Execution.

Twelve chapters in three internal volumes.
One connected reference.

IThe physics of searchThe theoretical engine
  1. The Transition from Strings to Things
  2. Search System Architecture: Three Processing Layers
  3. Mathematical Foundations of Relevance (GIST and Vector Models)
  4. Trust Algorithm (E-E-A-T & Quality)
IIThe blueprintArchitectural engineering
  1. Entity-Based Site Architecture
  2. Schema Layer (JSON-LD) Architecture
  3. Data Consistency & Synchronization
  4. Visual & Multi-Modal SEO
IIIThe playbookOperational execution
  1. Content Engineering for AEO
  2. Service & Location Page Strategy
  3. Real World Signals & Authority Building
  4. Future of Search Systems: Agentic and Autonomous Models

Also included

Schema Template Library · The Topical Map Workbook · Glossary · References

The editions

Built for
the way you read.

Purchase links will appear here when the Amazon listings are confirmed.

Print

Color paperback

A 508-page reference, with diagrams, code, and structured examples. 6 × 9 inches, standard-color interior on white paper.

Forthcoming on AmazonEntity Architecture: The New Physics of Search, by Marcus J. Avery. Graphite paperback cover with three gold architectural planes and the node symbol.

Digital

Kindle edition

A reflowable edition for Kindle readers and apps. Text adapts to the screen and the reader’s preferred type size.

Forthcoming on AmazonEntity Architecture: The New Physics of Search, by Marcus J. Avery. Graphite Kindle cover with three gold architectural planes and the Node Publishing wordmark.

This website does not process purchases. A direct PDF edition and hardcover are not offered here.

The author

Marcus J. Avery

Semantic architecture.
Forensic SEO. Knowledge graph engineering.

Avery’s work centers on entity resolution and the design of digital assets that search and retrieval systems can interpret. Those interests form the organizing framework of this reference.

About the author

Reader questions

A few
practical details.

Who is the book written for?

Technical SEO practitioners, developers, and content architects who want to understand and implement entity-based search architecture. It assumes familiarity with websites and search optimization; some chapters include code and mathematical models.

Is this one book or three separate books?

One book. Its twelve chapters are arranged in three internal volumes: theory, architectural engineering, and operational execution.

Which formats are planned?

A 508-page, 6 × 9-inch color paperback and a reflowable Kindle edition. Purchase links will be added when the Amazon listings are confirmed. Node Publishing does not sell a direct PDF edition on this website.

Where can I find corrections and companion resources?

The reader resources and errata pages are the permanent home for public companion links and published corrections. Both are linked below and in the footer.

Does the book promise rankings or AI citations?

No. It presents models, implementation methods, and diagnostic frameworks. Search visibility depends on the system, the content, and the context; no specific ranking or citation result is guaranteed.