Optimize Content with AI for SEO Course

Lesson 1 • Aligning AI Output with SEO Goals

Maps AI-generated content capabilities to specific SEO objectives like relevance and authority. Establishes the strategic mindset applied in all later chapters.

Lesson 2 • How Search Engines Work

Covers crawling, indexing, and ranking mechanics that underpin all SEO decisions. Provides the technical baseline needed for every subsequent optimisation strategy.

Lesson 3 • Core SEO Ranking Factors

Examines on-page, off-page, and technical signals that influence rankings. Connects each factor to actionable content decisions made throughout the course.

Lesson 1 • Using AI to Discover Keyword Opportunities

Applies AI prompting techniques to generate seed keywords, variations, and related queries at scale. Demonstrates efficiency gains over manual brainstorming alone.

Lesson 2 • Building a Keyword Map

Organises clustered keywords into a structured map linking pages to target terms. Produces the planning artifact used throughout the rest of the course.

Lesson 3 • Semantic Keyword Clustering

Groups keywords by topic and intent to form content clusters that signal topical authority. Directly feeds the content architecture built in the next chapter.

Lesson 1 • Pillar Pages and Topic Clusters

Explains the hub-and-spoke model for organising content around broad topics and supporting subtopics. Directly applies the keyword clusters built in Chapter 2.

Lesson 2 • Measuring Strategy Effectiveness

Defines KPIs for content strategy and sets up tracking before content is published. Establishes the measurement baseline used in later optimisation chapters.

Lesson 3 • Audience and Intent Mapping

Aligns content topics to specific audience segments and their search intent at each funnel stage. Ensures AI-generated content serves real user needs.

Lesson 4 • Competitive Content Gap Analysis

Uses AI to identify topics competitors rank for that your site does not yet cover. Translates gaps into prioritised content opportunities.

Lesson 1 • Prompting AI for First Drafts

Teaches structured prompting patterns that produce coherent, relevant first drafts efficiently. Covers iterative prompting to refine output before editing.

Lesson 2 • Editing AI Drafts for Quality and Accuracy

Provides an editing framework to correct factual errors, improve readability, and add original insight. Transforms AI output into authoritative, trustworthy content.

Lesson 3 • Crafting Effective Content Briefs

Defines the components of a brief that guides AI toward accurate, on-brand, SEO-aligned output. A strong brief reduces editing time and improves first-draft quality.

Lesson 1 • Automating Technical SEO Tasks with AI

Identifies repetitive technical tasks suitable for AI automation, such as redirect mapping and log analysis. Builds efficiency habits that scale with site growth.

Lesson 2 • Structured Data and Schema Markup

Explains how schema markup enables rich results and improves click-through rates. AI is used to generate and validate schema code efficiently.

Lesson 3 • AI-Assisted Site Auditing

Uses AI tools to analyse audit data, surface patterns, and prioritise fixes by impact. Reduces manual analysis time while improving diagnostic accuracy.

Lesson 1 • Identifying Content Decay and Gaps

Detects pages losing traffic due to outdated information, thin content, or shifting search intent. Prioritises refresh candidates by revenue and traffic impact.

Lesson 2 • Rewriting and Expanding Content with AI

Uses AI to rewrite weak sections, add missing subtopics, and improve readability without losing existing ranking signals. Balances preservation with improvement.

Lesson 3 • Post-Refresh Monitoring and Iteration

Tracks ranking and traffic changes after a refresh to validate improvements and guide further edits. Closes the optimisation loop with data-driven iteration.

Lesson 1 • Link Building Fundamentals

Explains domain authority, link equity, and the types of links that move rankings. Provides the strategic foundation before introducing AI-assisted tactics.

Lesson 2 • AI-Personalised Outreach at Scale

Generates personalised outreach emails using AI while maintaining authenticity and relevance. Covers follow-up sequences and response rate optimisation.

Lesson 3 • Creating Linkable Assets with AI

Produces data-driven articles, guides, and visual content that naturally attract backlinks. AI accelerates research and drafting of high-value linkable assets.

Lesson 1 • SEO Analytics and Data Interpretation

Connects organic traffic, rankings, and conversion data to business outcomes using analytics platforms. Builds the analytical fluency needed for AI-assisted reporting.

Lesson 2 • Continuous Improvement and Algorithm Adaptation

Establishes processes for monitoring algorithm updates and adapting content strategy proactively. Ensures long-term SEO performance beyond the course.

Lesson 3 • Strategic SEO Roadmap Development

Synthesises all course competencies into a 12-month SEO roadmap with milestones and resource plans. Serves as the capstone deliverable for the entire course.

Lesson 4 • AI-Assisted SEO Reporting

Uses AI to summarise data, generate narrative insights, and automate recurring reports. Reduces reporting time while improving stakeholder communication quality.