AI, Entity SEO & SGE Course

Lesson 1 • How Search Engines Work Today

Covers crawling, indexing, and ranking at a conceptual level. Grounds all later SEO strategy in accurate mental models of search engine behaviour.

Lesson 2 • Entity-Based Search Fundamentals

Introduces entities as the building blocks of semantic search and knowledge graphs. Establishes why entities matter before diving into optimisation techniques.

Lesson 3 • Shift from Keywords to Semantics

Traces the evolution from exact-match keyword ranking to intent-based semantic search. Explains why traditional keyword tactics alone are insufficient today.

Lesson 4 • Search Generative Experience Overview

Defines SGE and its core components, including AI-generated overviews and cited sources. Sets the stage for understanding how SGE reshapes visibility and traffic.

Lesson 1 • Entity Disambiguation and Identity

Covers how search engines distinguish between entities sharing similar names or attributes. Teaches techniques to establish a clear, unique entity identity online.

Lesson 2 • Major Knowledge Graph Sources

Surveys the primary databases and open datasets that feed search engine knowledge graphs. Helps students identify where to establish and verify entity data.

Lesson 3 • Anatomy of a Knowledge Graph

Explains nodes, edges, and properties that form a knowledge graph structure. Provides the vocabulary needed to discuss entity optimisation precisely.

Lesson 4 • Entity Relationships and Co-occurrence

Examines how entities gain authority through associations with other established entities. Informs link-building and content strategy decisions in later chapters.

Lesson 1 • JSON-LD Implementation Essentials

Teaches JSON-LD syntax as the preferred structured data format for entity markup. Students write and validate basic schema blocks by the end of this section.

Lesson 2 • Structured Data Fundamentals

Defines structured data and explains why it bridges the gap between human content and machine understanding. Positions schema as a core entity SEO tool.

Lesson 3 • Schema Auditing and Error Resolution

Provides a systematic process for auditing existing schema implementations and fixing errors. Connects schema health to rich result performance and entity recognition.

Lesson 4 • Core Schema Types for Entity SEO

Covers the most impactful schema types for establishing entity identity and relationships. Focuses on Organisation, Person, LocalBusiness, and Product schemas.

Lesson 1 • Brand Entity Authority Building

Covers strategies to strengthen a brand's entity footprint through citations, mentions, and partnerships. Directly feeds into knowledge panel strength and SGE source selection.

Lesson 2 • Trust Signals and Reputation Management

Examines reviews, ratings, and transparency signals that reinforce entity trustworthiness. Teaches proactive reputation strategies that support long-term search visibility.

Lesson 3 • Author and Creator Entity Optimisation

Focuses on establishing individual authors as recognised entities with verifiable credentials. Covers author pages, bylines, and cross-platform profile consistency.

Lesson 4 • Measuring E-E-A-T Signal Strength

Introduces qualitative and proxy metrics for assessing E-E-A-T progress over time. Connects signal measurement to iterative content and outreach improvements.

Lesson 1 • Optimising for AI-Generated Overviews

Identifies the content characteristics that increase the likelihood of being cited in SGE overviews. Focuses on answer-first formatting, factual density, and source credibility.

Lesson 2 • Conversational and Long-Tail Query Coverage

Addresses how AI search surfaces conversational queries differently from traditional search. Teaches students to identify and cover long-tail, question-based query clusters.

Lesson 3 • Entity-Rich Content Creation

Teaches how to weave entity mentions, attributes, and relationships naturally into content. Covers co-occurrence strategies that reinforce entity associations for search engines.

Lesson 4 • Topic Clusters and Pillar Pages

Explains how pillar-cluster architecture signals topical authority to search engines. Students map cluster structures around core entities relevant to their domain.

Lesson 1 • Crawlability and Indexation Control

Covers robots directives, sitemaps, and crawl budget management for entity-heavy sites. Ensures that priority entity pages are discovered and indexed efficiently.

Lesson 2 • Hreflang and Multilingual Entity Pages

Addresses entity consistency challenges across multilingual and multiregional site configurations. Teaches hreflang implementation to prevent entity signal dilution.

Lesson 3 • Page Speed and Core Web Vitals

Connects technical performance metrics to overall page quality signals that affect entity page rankings. Students identify and prioritise performance fixes on key entity pages.

Lesson 4 • Log File Analysis for Entity Crawl Insights

Uses server log data to diagnose how search engine bots interact with entity pages. Provides actionable crawl optimisation insights unavailable from standard analytics.

Lesson 1 • Prompt-Aligned Content Architecture

Teaches how to reverse-engineer user prompts to structure content that directly answers AI queries. Covers prompt pattern analysis and content gap identification.

Lesson 2 • Brand Visibility in Conversational AI Results

Addresses how brands appear in multi-turn AI search conversations and follow-up queries. Teaches entity reinforcement strategies that sustain brand presence across query threads.

Lesson 3 • Featured Snippets and Zero-Click Optimisation

Connects featured snippet optimisation to SGE citation likelihood, sharing common structural signals. Students optimise existing content for both snippet and AI overview capture.

Lesson 4 • SGE Testing, Monitoring, and Iteration

Establishes a repeatable process for testing content changes against SGE citation outcomes. Covers monitoring tools, change logging, and iterative optimisation cycles.

Lesson 1 • Competitive Entity Analysis

Teaches systematic competitor entity audits to identify gaps and opportunities in entity coverage. Feeds directly into prioritisation decisions for content and schema investments.

Lesson 2 • KPIs for Entity SEO and SGE

Defines the key performance indicators specific to entity visibility, knowledge panel health, and SGE citations. Distinguishes vanity metrics from actionable performance signals.

Lesson 3 • Analytics Configuration for AI Search

Covers the analytics setup adjustments needed to capture AI search traffic patterns accurately. Addresses dark traffic, referral source changes, and new attribution challenges.

Lesson 4 • Strategic Roadmap Development

Guides students through building a prioritised, phased entity SEO and SGE strategy roadmap. Integrates all prior chapter outputs into a cohesive, actionable plan.