Role-Based Programme
RB1182

AI for SEO & Search Marketing

Search Intelligence, Content Optimisation & Organic Growth

IMAGE REQUIRED
Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop practical AI capabilities for SEO strategy, keyword research, search-intent analysis, content optimisation, and organic growth.
  • Apply AI to analyse search behaviour, competitors, topics, content gaps, website structure, and search-performance opportunities.
  • Use AI to strengthen on-page SEO, content briefs, metadata, internal linking, topic clusters, and search-friendly content development.
  • Analyse organic search performance to identify ranking, traffic, engagement, conversion, and content-improvement opportunities.
  • Apply responsible AI practices related to factual accuracy, originality, copyright, search-quality principles, data privacy, and human validation.

Tools covered

Generative AI AssistantsAI Search & ResearchKeyword Research SupportSearch Intent AnalysisCompetitor AnalysisContent OptimisationSERP Analysis ConceptsTechnical SEO Analysis SupportOn-Page SEOContent Gap AnalysisSearch Performance AnalysisExecutive Summarisation

Who should attend

  • SEO Managers
  • SEO Executives
  • SEO Specialists
  • Search Marketing Professionals
  • Organic Growth Professionals
  • Digital Marketing Managers
  • Content Marketing Professionals
  • SEO Content Writers
  • Content Strategists
  • Website Marketing Professionals
  • Growth Marketing Professionals
  • Marketing Analysts
  • Digital Content Managers
  • E-Commerce Marketing Professionals
  • Marketing Managers

Prerequisites & Participant Readiness

  • Experience in SEO, search marketing, digital marketing, content marketing, or website management
  • Familiarity with keywords, search rankings, website content, and basic SEO metrics
  • Basic familiarity with Generative AI tools is recommended
  • Ability to interpret website and search-performance information
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, AI search, and search-assistance capabilities
  • Exploring AI applications across keyword research, content development, optimisation, and performance analysis
  • Understanding how AI differs from search engines, SEO platforms, analytics, and traditional research tools
  • Recognising hallucinations, fabricated metrics, outdated information, and AI limitations
Practical activities
  • Mapping the SEO lifecycle to practical AI applications
  • Identifying high-value versus low-value AI use cases
  • Comparing traditional and AI-assisted SEO workflows

Scenarios

Website Search Opportunity to SEO Content Strategy

Market Research → Search Intent → Keyword Themes → Competitor Analysis → Topic Clusters → Content Briefs → On-Page Optimisation → SEO Roadmap

Participants use AI to analyse a simulated website and market, identify search opportunities, organise them into topic clusters, and create a structured SEO content and optimisation roadmap.

Declining Organic Traffic to SEO Recovery Plan

Search Performance → Query Analysis → Page Performance → Competitor Review → Content Gaps → Technical Issues → Optimisation Priorities → Recovery Plan

Participants use AI to analyse a simulated decline in organic search performance, identify potential content, technical, and competitive causes, and develop a prioritised SEO recovery strategy.

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