Course Overview
Digital Marketing Mastery: AI SEO (GEO) & Google Ads
This AI SEO and Google Ads 2-day public training programme brings together two high-demand digital competencies into one powerfully integrated learning journey. Participants will master both the emerging frontier of AI-driven search (Generative Engine Optimisation) and the performance-driven world of Google paid advertising — equipping them with end-to-end digital visibility and lead generation skills.
Day 1 equips participants with practical skills to optimise content not only for traditional search engines like Google Search, but also for AI-driven discovery platforms such as ChatGPT, Perplexity AI, and Google Gemini. As SEO evolves into Generative Engine Optimisation (GEO), participants will learn how to ensure their content is referenced, summarised, and trusted by AI systems.
Day 2 transitions into Google Ads — where participants develop hands-on competency in building, launching, and optimising paid search campaigns. The programme covers the complete advertising journey, from strategic channel selection and keyword research through to Performance Max deployment, WhatsApp lead funnels, and data-driven optimisation using GA4.
AI SEO and Google Ads Training is an HRDC Claimable in-house programme designed to help marketing professionals improve online visibility, generate qualified leads, and maximize digital marketing performance. Participants will learn Generative Engine Optimization (GEO), AI-powered SEO strategies, Google Ads campaign management, keyword research, conversion optimization, and performance measurement using the latest digital marketing techniques.
Course Objectives
Upon completion of this AI SEO and Google Ads 2-day programme, participants will be able to:
DAY 1 — AI SEO & Generative Engine Optimisation (GEO)
Understand the evolution from traditional SEO to AI-driven search (GEO) and how generative engines change content discovery
Identify how AI platforms such as ChatGPT, Perplexity AI, and Google Gemini retrieve, evaluate, and present information
Apply core SEO principles within an AI context, including intent, semantics, and entity-based optimisation
Develop AI-optimised content structures that increase the likelihood of being cited and summarised by generative engines
Use AI tools effectively to generate, refine, and scale SEO content while maintaining accuracy and authority
Design integrated search strategies combining website, social, and community platforms for maximum visibility
Build a practical GEO (Generative Engine Optimisation) framework tailored to their business or organisation
DAY 2 — Google Ads Masterclass
Distinguish between Google Ads, Facebook Ads, and Organic SEO and select the appropriate channel for marketing objectives
Develop a keyword strategy tailored to business goals
Apply keyword match types, negative keyword filters, and geofencing techniques to maximise campaign relevance
Structure Google Search campaigns using proven copywriting formulas
Configure and launch Performance Max (PMax) campaigns with properly prepared asset groups and audience signals
Build Click-to-WhatsApp lead funnels and lead capture forms integrated with customer engagement scripts
Set up custom GA4 tracking events to measure campaign performance and lead quality
Interpret GA4 traffic and conversion reports to continuously optimise ad budgets and campaign performance
Course Methodology
This AI SEO and Google Ads programme employs a blended, participant-centred instructional approach across both days to ensure knowledge is understood conceptually and applied practically from day one:
Instructor-Led Facilitation — structured delivery by an experienced practitioner with real-world campaign expertise; concepts introduced through clear explanations and live case examples
Live Platform Demonstrations — real-time demonstrations within AI tools, Google Ads, and GA4 interfaces, allowing participants to observe practical workflows as they are actually used
Guided Hands-On Lab Activities — participants work on real or simulated accounts to complete exercises including content creation, keyword building, geofencing setup, and GA4 configuration
Copywriting Workshops — dedicated sessions practising AI-optimised content and Google Ads copy, with peer review and trainer feedback
Short Concept Explanations — concise, business-focused theory to support practical application without cognitive overload
Real Business Case Studies and Scenario-Based Problem Solving — applying learning to realistic business challenges across industries
Group Discussions and Reflection — small-group discussions to reinforce decision-making and strategic thinking
Q&A and Troubleshooting Sessions — dedicated open-floor time at the end of each module to address participant-specific challenges
Who Should Attend
This AI SEO and Google Ads programme is suitable for professionals across industries who are ready to build practical, results-driven digital marketing skills:
Marketing Managers & Executives seeking to lead AI-driven and paid digital campaigns
SME Business Owners and Entrepreneurs who want to independently manage and grow their online presence
Content Creators & Copywriters transitioning into AI-optimised content strategy
Digital Marketing Professionals looking to upskill across SEO, GEO, and Google Ads
SEO Specialists evolving into AI SEO and Generative Engine Optimisation
Sales Managers and In-House Marketing Staff managing advertising budgets and lead generation
Prerequisite: No prior AI SEO or Google Ads experience is required. Participants should be comfortable with basic internet usage. A Google account (Gmail) is required for Day 2 hands-on lab activities.
Course Content
DAY 1 | AI SEO (GEO): Optimising for Search & Generative AI Engines
Module 1: The Shift — Traditional SEO to Generative Engine Optimisation (GEO)
From keywords to context, intent, and AI-generated answers
How AI engines think: retrieval and generation explained
Difference between traditional SEO ranking and AI citation & summarisation
Why visibility on ChatGPT, Perplexity, and Gemini matters for your business
Module 2: How AI Engines Rank & Select Content
E-E-A-T in the AI context: Experience, Expertise, Authority, Trust
Structured vs unstructured content — what AI prefers
Why platforms like Reddit, Quora, and blogs dominate AI answers
Content formats AI favours: Lists, Definitions, Comparisons, Step-by-step guides
Module 3: GEO Content Framework — AI-First Content Design
Answer-first writing methodology
Semantic layering and entity-based SEO
Context stacking for AI visibility
Practical content structure: Question → Direct Answer → Expansion → Proof → Summary
Module 4: AI Tools for SEO & Content Creation
ChatGPT — content drafting and structuring
Perplexity AI — research and citations
Microsoft Copilot — business writing and summarisation
DeepSeek — alternative research engine
Workflow: AI suggests → Human validates → SEO refines
Module 5: Prompt Engineering for SEO — The CLEAR Framework
Context, Level/Role, Expectation, Audience, Restriction
Hands-on: Blog article generation using prompts
FAQ generation and product page optimisation with AI
Iterating and refining AI outputs for SEO quality
Module 6: Optimising for AI Visibility — Advanced GEO Techniques
Featured snippet optimisation strategies
FAQ schema thinking (without requiring technical schema)
Entity reinforcement and internal linking for context
Advanced concept: Citation SEO — writing to be quoted by AI
Module 7: Multi-Platform SEO Strategy — Search + AI
Website SEO, Social SEO (TikTok, YouTube), Community SEO (Reddit, forums)
Integrated strategy: Own → Borrow → Amplify
Own: your website | Borrow: platforms | Amplify: AI mentions
Building a presence that AI tools consistently reference
Module 8: Measurement & Future Strategy
Traditional metrics: traffic and rankings
AI Era metrics: AI mentions, citation frequency, brand recall
Tools: Google Analytics, manual AI query testing
Building a long-term GEO strategy for authority and visibility
DAY 2 | Google Ads Masterclass: Sales, Marketing & Lead Generation
Module 1: The Digital Marketing Ecosystem & Campaign Types
Strategic channel selection: Google Ads vs. Facebook Ads vs. Organic SEO
Google Ads: capturing high-intent ‘pull’ traffic
Facebook Ads: intercepting ‘push’ traffic — discovery and lifestyle
Driving business impact: walk-ins, calls, and hire-purchase enquiries
Platform navigation and switching to Expert Mode for full control
Module 2: Keyword Strategy & Geofencing
Developing a keyword matrix aligned with your business objectives
High-intent search terms across business verticals and objectives
Mastering Broad Match, Phrase Match, and Exact Match parameters
Setting up Negative Keywords to filter irrelevant traffic
Geofencing: radius targeting around business locations to eliminate wasted spend
Module 3: Campaign Architecture & Copywriting Formulas
The ad copy formula: Feature → Benefit → Call to Action
Linking product specifications to clear customer advantages
Ad copywriting workshop with real campaign examples and peer feedback
Smart Bidding and Budget Blueprints: daily spending caps and bid strategies
Maximise Clicks strategy for beginners
Module 4: Performance Max (PMax) Masterclass
What is Performance Max and why Google is prioritising it
How Google’s AI automates targeting, bidding, and placements across all channels
Asset Groups: images, text headlines, descriptions, video assets, audience signals
Strategic PMax deployment: product launches, lead generation, promotions
PMax vs Standard Search: when to use each for maximum ROI
Module 5: Lead Generation Funnels & GA4 Optimisation
Configuring Click-to-WhatsApp lead funnels with pre-filled customer messages
Building lead-capture forms: essential fields and best practices
Providing Sales Advisors with Speed-to-Lead reply templates to engage hot leads within 15 minutes
Setting up Custom Events in GA4 to track WhatsApp clicks and form completions
Reading GA4 traffic reports to identify genuine leads vs. empty clicks
Creating a continuous optimisation loop: data → insights → budget refinement


