I’m not entirely sure what to call this session so I’m going with Generative Engine Optimisation (GEO) or AI Overview Search Optimisation (AOSO) or maybe I should call it EIEIO!

The goal is to give you the skills to create content that will show in AI search Overviews or Generative AI search tools.

This one-day course is designed for marketers, agencies and website editors.

What you take away from this course:

• Understand what AI tools want from your website
• How these new AI search engines work and how they find your content
• Best practice content creation.
• How brand awareness is becoming more important
• Do back links still matter? Do AI overviews care about backlinks?
• Monitoring and tracking the results of your efforts.
• The session is built so there’s plenty of time for questions.

This session lasts around four to five hours and can be delivered one-to-one or to groups pretty much anywhere in the UK. Online sessions are also available.

I deliver informal and interactive training, using live examples and make the course content relate to you and your business or agency.

AI Search Optimisation Training Overview

Understanding AI Search & Content Discovery

Learn how AI search tools find, summarise and cite web content. Understand how AI search differs from Google search and what content signals AI search prioritise.

What AI Search Tools Look For in Content

Explore the behaviours and limitations of AI bots (e.g. ChatGPT, Perplexity, Gemini). Learn how to structure content so it’s more likely to be cited in AI Overviews. We’ll look at signals like E-E-A-T (Experience, Expertise, Authority, Trust) from an AI point of view.

Content Structure & Semantic Markup for AI Visibility

A look at headings, FAQ & other schema, paragraph styles and how to write content that’s not just crawlable but quotable. Learn how to make your site an “answer source”.

Building Content for Natural Language Queries

Instead of focusing on traditional keywords you’ll learn how to optimise for questions, concepts and semantic relevance. We’ll explore how people actually ask questions inside AI tools.

Creating AI Friendly Content That Gets Cited

We’ll look at how to write clearly, factually and conversationally so your content is used in AI summaries. This section also covers clarity in benefit driven messaging, accessibility and why staying away from marketing fluff matters more than ever. We’ll also Learn how to write benefits, features and calls to action (CTAs) that AI can understand and surface in the overview.

Content as Knowledge Assets

Learn to build a content library that AI tools can repeatedly cite. This section covers evergreen formats, knowledgebase content, listicles and how to optimise for reusability across platforms.

Brand Awareness, Citations, Sources and Link Building in the Age of AI

Back links and citations still matter but in a different way. Learn how to build authority signals that AI tools recognise, such as quality outbound links, contextual citations and named expert contributions.

Measuring Success in a World Without Clicks

How do you prove your content is working if there are fewer website visits? Learn about what we can measure around AI citations, branded mentions and indirect engagement metrics.