Role-Based Programme
RB1181
AI for SEO & Search Marketing
Smarter Keyword Strategy, Search Visibility & Organic Growth
IMAGE REQUIRED
Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop
Programme Objectives
- Understand how AI can support SEO and Search Marketing across keyword research, search intent, content planning, optimisation, and performance analysis.
- Apply AI to identify relevant search themes, analyse competitors, structure content, and improve on-page optimisation.
- Use AI to support search-focused content briefs, metadata, internal-linking ideas, SERP analysis, and SEO reporting.
- Develop practical skills for keyword clustering, search-intent mapping, content-gap analysis, technical SEO investigation, and performance optimisation.
- Understand responsible AI use, factual accuracy, originality, search-quality considerations, source validation, and human review in SEO activities.
Tools covered
Generative AI AssistantsAI Search & ResearchKeyword ResearchSearch Intent AnalysisSEO Content PlanningOn-Page SEOSERP AnalysisCompetitor ResearchTechnical SEO Analysis SupportSearch Performance Reporting
Who should attend
- SEO Executives
- SEO Specialists
- SEO Managers
- Search Marketing Professionals
- Digital Marketing Executives
- Digital Marketing Managers
- Content Marketing Professionals
- SEO Content Writers
- SEM Professionals
- Growth Marketing Professionals
- Website Marketing Professionals
- Marketing Analysts
- Content Strategists
- Search Marketing Team Leads
Prerequisites & Participant Readiness
- Basic understanding of digital marketing or website content
- Familiarity with search engines, keywords, websites, or digital campaigns is helpful
- Basic communication and digital-tool skills
- No programming or technical AI knowledge required
- Prior AI-tool experience is helpful but not mandatory
TOC Modules
Concepts
- Understanding Generative AI and its role in modern search marketing
- Understanding how AI can support research, keyword planning, content optimisation, and analysis
- Distinguishing AI assistance from search engines, SEO platforms, analytics, and automation tools
- Understanding AI limitations, hallucinations, outdated information, and search-quality risks
Practical activities
- Identifying recurring SEO activities suitable for AI assistance
- Comparing traditional and AI-assisted approaches to an SEO task
- Mapping AI opportunities across the SEO workflow
Scenarios
Business Topic to SEO Content Strategy
Business Topic → Keyword Research → Search Intent → Topic Clusters → Competitor Analysis → Content Gaps → SEO Brief → Publishing Plan
Participants use AI to develop a structured SEO content strategy from a business topic, including keyword themes, search intent, content gaps, and page recommendations.
Organic Performance Drop to SEO Improvement Plan
Search Performance Data → Page Analysis → Keyword Trends → SERP / Competitor Review → Potential Issues → Optimisation Actions → Priority Plan → Management Summary
Participants use AI to analyse a sample decline in organic performance, identify possible content and technical improvement areas, and prepare a structured SEO optimisation plan.
Related programmes
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- ChatGPT for Human Resources: AI Skills for Smarter Everyday HR
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- ChatGPT for Marketing: AI Skills for Modern Marketing Teams
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