Who should attend this course?
This course is designed for anyone responsible for growing visibility, traffic and influence in AI-powered search and discovery environments.
Ideal for:
- SEO professionals expanding beyond Google-only playbooks
- Growth marketers and performance teams exploring new discovery channels
- Content strategists, writers and editors publishing at scale
- Technical SEOs and developers managing site health and structure
- Product managers working on search features or AI integrations
- Agencies and consultants offering modern GEO and AEO services
- Founders and brand owners preparing for an AI-dominant future
If your brand wants stronger presence in AI-generated answers, citations, and assistant-led sessions, this course is built for you.
Why choose this course?
AI assistants are now a major part of the global discovery ecosystem. ChatGPT alone receives billions of questions every day, and platforms like Gemini, Perplexity and Claude are rapidly becoming primary research and decision-making tools across all industries.
In this new environment, grounding and web search play a critical role. Large language models use grounding to verify information, reduce hallucinations and select trusted sources. This means your website structure, content clarity and entity consistency directly influence whether AI assistants choose your brand as a reliable answer.
Although AI search is new, strong SEO fundamentals are still essential. Proper crawling, structured content, internal linking, clean HTML, clear headings, strong semantics and comprehensive topic coverage remain the foundation of visibility, they are simply being applied in a new way.
In this advanced, practical course, you will learn:
- How ChatGPT, Gemini and Perplexity retrieve, verify and quote website content
- How grounding, retrieval and re-ranking systems affect visibility
- How to create content that is consistently used in AI-generated answers
- How to apply SEO fundamentals in an AI-first world
- How to measure AI visibility using prompt tracking and share-of-voice models
- How to build high-performing glossary hubs, comparisons, TL;DR blocks and definition sections
- How to structure your site for better indexing and reliable data extraction
The course includes real examples, case studies and experiments from real brands, with space for questions and live project discussion.
You will leave with a clear, actionable list of tasks you can implement immediately, including technical improvements, content upgrades and AI visibility checks.
By the end of the course, you will understand how to make your brand more visible in AI search, how to create content assistants trust, and how to build sustainable GEO and AEO frameworks for long-term performance.
Course Content
Section 1: GEO Foundations
- Explore the evolution of search and understand the core mechanics of Large Language Models (LLMs)
- Learn how vector-based search works and how it differs from lexical search
- Learn how Retrieval-Augmented Generation (RAG) works and why it’s used by LLMs
Section 2: Understanding Prompts
- Analyse multi-turn chatbot conversations to map user intent across different stages of awareness
- Discover and categorise relevant AI prompts as part of your holistic GEO strategy
- Go beyond synthetic prompts, mining Google Search Console to discover real language opportunities
Section 3: Technical Optimisations
- How to optimise your website to ensure it is fully accessible, renderable, and fast for AI agents.
- Why using log file analysis will help you monitor AI bot crawl behavior, plug data gaps and identify cited content
- Understand how AI bots differ from traditional search crawlers, particularly regarding their struggle with JavaScript
Section 4: Content Engineering
- Discuss what optimisations are genuine, and which are repackaged SEO tactics
- How to create "non-commodity" content that offers a genuine market and informational gain
- What structural and content features are available to make your content semantically clearer
Section 5: Omnichannel Amplification
- How to implement specific strategies to amplify your newly engineered content across digital channels
- Collaborate cross-functionally with PR teams to surface newsworthy data and build earning links
- Increase your content's reach to influence brand awarenessand drive referrals
Section 6: Measurement
- Learn about Impression’s measurement framework and how it unlocks key outputs and outcomes of AI search
- How to conduct market analysis to understand how your competitors are performing
- An exploration into what first-party data sources are available to uncover GEO performance and their current limitations
Section 7: Controlling Hype With Stakeholders
- Learn effective communication strategies to manage stakeholder expectations around AI search capabilities
- How to educate wider teams on what optimisations are impactful towards LLM visibility
- Focus on what realistically works for your specific brand while being mindful of correlation and causation
What's included in your ticket?
Book onto this training course and you will get:
- A full day's training on your chosen topic the day before the conference
- Lunch included on your training day
- Full access to both days of brightonSEO main conference
- Bag of merch
- Video bundle to stream all the conference talks post event
- Access to conference networking events and activities






