hibranwar

Entity Infrastructure 101

The complete technical guide to making Google know you exist. Free, structured, no paywall.

82Sessions
11Modules
~7hReading + assignments
0Cost

From structurally invisible to entity-recognized. Each session is a short read with one practical assignment. The sequence matters. Do not skip modules.

Module 0

The Visibility Lie

Why content and ads won't save you if Google doesn't know you exist.

  1. 0.1 The Content Treadmill
  2. 0.2 Visibility Is Not Content
  3. 0.3 What Google Actually Sees
  4. 0.4 The Entity Gap
  5. 0.5 The Course Map

Print / Download Module 0 as PDF

Module 1

What Is an Entity?

Entities vs. keywords, the Knowledge Graph, and entity disambiguation.

  1. 1.1 Entities: The Practical Definition
  2. 1.2 Entities vs. Keywords
  3. 1.3 The Knowledge Graph Explained
  4. 1.4 How Entities Get Into the Knowledge Graph
  5. 1.5 Entity Types That Matter
  6. 1.6 Entity Attributes and Properties
  7. 1.7 Entity Disambiguation

Print / Download Module 1 as PDF

Module 2

How Google Recognizes Companies

The three pillars, branded search, and Google's confidence score.

  1. 2.1 Google's Entity Understanding Pipeline
  2. 2.2 The Three Pillars of Entity Recognition
  3. 2.3 Branded Search
  4. 2.4 How Google Connects Website to Entity
  5. 2.5 Google's Confidence Score
  6. 2.6 What "Not an Entity" Looks Like
  7. 2.7 Entity Recognition in AI Search

Print / Download Module 2 as PDF

Module 3

Why Most Websites Are Structurally Invisible

The five structural sins, crawlability, indexing, and orphan pages.

  1. 3.1 The Five Structural Sins
  2. 3.2 The Beautiful But Empty Website
  3. 3.3 Crawlability
  4. 3.4 Indexing
  5. 3.5 Site Architecture: Flat vs. Deep
  6. 3.6 Internal Linking as Entity Signal
  7. 3.7 The Orphan Page Problem

Print / Download Module 3 as PDF

Module 4

The Minimum Viable Entity Stack

Website, GBP, social profiles, NAP, citations, Wikidata.

  1. 4.1 Defining the MVES
  2. 4.2 Website as Entity Home Base
  3. 4.3 Google Business Profile as Anchor
  4. 4.4 Social Profiles as Corroboration
  5. 4.5 NAP Consistency
  6. 4.6 Directory Citations
  7. 4.7 Wikidata
  8. 4.8 MVES Verification Checklist

Print / Download Module 4 as PDF

Module 5

Schema.org Structured Data

JSON-LD, Organization, LocalBusiness, Person, Product, FAQ, and linking schemas together.

  1. 5.1 What Is Schema.org?
  2. 5.2 JSON-LD
  3. 5.3 Organization Schema Deep Dive
  4. 5.4 LocalBusiness Schema
  5. 5.5 Person Schema
  6. 5.6 Product and Service Schema
  7. 5.7 BreadcrumbList Schema
  8. 5.8 FAQ and HowTo Schema
  9. 5.9 Linking Schemas Together
  10. 5.10 Schema Validation

Print / Download Module 5 as PDF

Module 6

Google Business Profile Mastery

Categories, attributes, reviews, photos, and GBP-website consistency.

  1. 6.1 GBP as Entity Tool
  2. 6.2 Categories
  3. 6.3 Attributes and Signals
  4. 6.4 Reviews as Trust Signals
  5. 6.5 Photos and Visual Signals
  6. 6.6 Products and Services
  7. 6.7 GBP-Website Consistency

Print / Download Module 6 as PDF

Module 7

Entity Reconciliation

The sameAs signal chain, NAP as fingerprint, and fixing entity fragmentation.

  1. 7.1 What Is Entity Reconciliation?
  2. 7.2 The sameAs Signal Chain
  3. 7.3 NAP as Reconciliation Fingerprint
  4. 7.4 Cross-Platform Entity Signals
  5. 7.5 Entity Fragmentation
  6. 7.6 Citation Building Strategy
  7. 7.7 Monitoring Reconciliation

Print / Download Module 7 as PDF

Module 8

Entity-First Content Strategy

Why most content strategies fail, topical authority, and content pruning.

  1. 8.1 Why Most Content Strategies Fail
  2. 8.2 Topical Authority and Clustering
  3. 8.3 Pillar-Cluster Architecture
  4. 8.4 Author Entities and E-E-A-T
  5. 8.5 Content Schema
  6. 8.6 Entity-Building Content Types
  7. 8.7 Content Pruning

Print / Download Module 8 as PDF

Module 9

AI Search and Entity Recognition

How AI search works differently, and the entity-AI feedback loop.

  1. 9.1 How AI Search Works Differently
  2. 9.2 Training Data
  3. 9.3 Retrieved Sources
  4. 9.4 Structured Data as AI Aid
  5. 9.5 Knowledge Graphs in AI Search
  6. 9.6 Optimizing for AI Platforms
  7. 9.7 The Entity-AI Feedback Loop

Print / Download Module 9 as PDF

Module 10

Measuring, Diagnosing, and Maintaining

Metrics, Search Console, Knowledge Graph API, maintenance calendar, and your 90-day plan.

  1. 10.1 Entity Presence Metrics
  2. 10.2 Search Console for Entity Diagnostics
  3. 10.3 Knowledge Graph Search API
  4. 10.4 Rich Results Monitoring
  5. 10.5 Citation Auditing
  6. 10.6 AI Visibility Tracking
  7. 10.7 Common Failure Modes
  8. 10.8 The Maintenance Calendar
  9. 10.9 Competitive Entity Analysis
  10. 10.10 Your 90-Day Plan

Print / Download Module 10 as PDF

This course is free. No email gate, no signup. If it helped you, tell me.