Role-Based Programme
RB1180
AI for SEO & Search Marketing
Smarter Keyword Research, Content Optimization & Search Visibility
IMAGE REQUIRED
Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session
Programme Objectives
- Understand how AI can support SEO and Search Marketing across keyword research, search-intent analysis, content planning, optimisation, and reporting.
- Explore practical AI applications for identifying keyword themes, analysing competitors, improving content structure, and discovering search opportunities.
- Apply structured prompting techniques to generate SEO briefs, titles, metadata, content outlines, and optimisation recommendations.
- Use AI to improve productivity across on-page SEO, content research, search-performance reviews, and competitor analysis.
- Recognise search-engine guidelines, factual accuracy, originality, copyright, data quality, and human-review requirements when using AI for SEO.
Tools covered
Generative AI AssistantsAI Search & ResearchKeyword ResearchSearch Intent AnalysisSEO Content OptimizationSERP & Competitor AnalysisMetadata GenerationContent Gap AnalysisAI-Powered Reporting Tools
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
- Organic Growth Professionals
- Website Marketing Professionals
- E-Commerce Marketing Professionals
- Marketing Analysts
- Content Strategists
- SEO & Search Marketing Team Leads
Prerequisites & Participant Readiness
- Basic understanding of digital marketing, websites, or online search
- Familiarity with keywords, website content, or search-engine results is helpful
- Basic internet-research and content skills
- No programming or technical AI knowledge required
- No previous AI-tool experience required
TOC Modules
Concepts
- Understanding Generative AI and its relevance to SEO and search marketing
- Exploring AI applications across keyword research, search intent, content planning, optimisation, and reporting
- Understanding the difference between AI assistance, SEO tools, search-engine data, and marketer judgement
- Recognising AI limitations, hallucinations, fabricated keywords, and unsupported search claims
Practical activities
- Identifying high-value AI applications across a typical SEO workflow
- Comparing a traditional SEO research task with an AI-assisted approach
Scenarios
Search Opportunity to SEO Content Plan
Business Topic → AI-Assisted Keyword Research → Search Intent → Topic Clusters → Content Gaps → Page Ideas → SEO Content Plan
Participants use AI to explore a sample business topic, identify relevant search themes and intent, and create a structured SEO content plan for further validation.
Existing Webpage to SEO Optimization Brief
Current Page → Search Intent Review → Keyword & Content Analysis → SEO Gaps → Metadata & Structure Improvements → Optimization Brief
Participants use AI to review a sample webpage, identify potential on-page SEO gaps, and create a structured optimisation brief covering titles, metadata, headings, content structure, and related topics.
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