Search and AI Discovery · Specialist Program
SEO, AEO and GEO Training: Search Visibility and AI-Assisted Discovery
Search discovery increasingly spans traditional search results, direct answers and AI-assisted interfaces. This program distinguishes evidence-based search optimisation from speculative tactics, using technical, content and measurement foundations that support accurate digital visibility.
Who this training is designed for
Designed for SEO practitioners, content teams, digital managers, agency specialists and relevant academic cohorts.
- SEO and content specialists seeking advanced frameworks
- Digital marketing teams responsible for organic discoverability
- Students learning modern search and content architecture
Learning objectives
Participants learn how to plan, prioritise and validate search improvements without treating AI visibility as a guaranteed outcome.
- Complete a practical search and crawlability audit
- Design intent-led content and internal linking
- Explain differences between SEO, answer optimisation and generative search discovery
Module 1 — Technical foundations
Understand crawling, rendering, indexing and page experience as interconnected systems.
- URL architecture and canonicalisation
- Sitemaps, robots directives and structured data
- Search Console diagnosis
Module 2 — Search intent and content architecture
Build topic coverage using a genuine audience need rather than keyword-volume guesses.
- Search intent and content briefs
- Entity clarity and internal links
- Avoiding thin and duplicative pages
Module 3 — AEO and direct answers
Make useful answers easy to understand and locate while retaining nuance and evidence.
- Question-led information design
- Concise answer writing and FAQs
- Semantically clear HTML
Module 4 — GEO and AI discovery
Explore how AI-assisted systems may discover and represent organisations and content.
- Consistent organisational identity
- Citable original expertise and verifiable claims
- Limits of schema and speculative AI ranking tactics
Module 5 — Evaluation and reporting
Translate technical findings into priorities and documented experiments.
- Coverage and engagement monitoring
- Change logs and hypothesis testing
- Reporting to stakeholders
Tools, practice and assessment
Google Search Console, GA4, browsers, structured data validation tools and selected SEO platforms may be used based on available access.
Participants audit a sample site, create an internal-link map and prepare a short evidence-based action plan.
Review a technical and content audit with prioritised recommendations and clear assumptions.
Delivery and customisation
Delivered as workshops, short intensive courses or extended technical training according to learner experience.
Case studies may be tailored to corporate sites, university websites or content teams. Search or AI-answer placement cannot be promised.
Frequently asked questions
Does GEO guarantee citations in AI-generated answers?
— No. The emphasis is accurate identity, useful content and sound search accessibility.
Is this only for advanced technical SEO teams?
— No. Versions can emphasise either strategic foundations or deeper technical implementation.
Will we work on our live website?
— An audit can use an authorised site or a sample project; access and data restrictions are agreed first.
Related learning pathways
Complement this specialist course with Digital Marketing training and Marketing Analytics training.
Illustrative search-quality audit
A practical assignment begins with a site hierarchy, an indexing check, sample URL analysis and an inventory of what each important page should help visitors accomplish. Learners then identify gaps in content clarity, canonicalisation, internal navigation and credibility signals.
For AI-assisted discovery, participants document which factual claims are verifiable and where the site provides clear organisational, author and service information. The report should label assumptions and avoid claiming that a schema field or special file will force AI inclusion.