BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/London BEGIN:DAYLIGHT DTSTART:20260329T020000 TZOFFSETFROM:+0000 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:BST END:DAYLIGHT BEGIN:STANDARD DTSTART:20261025T010000 TZOFFSETFROM:+0100 TZOFFSETTO:+0000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:GMT END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260525T231728Z UID:4ehumA DTSTART;TZID=Europe/London:20260522T103000 DTEND;TZID=Europe/London:20260522T163000 CLASS:PUBLIC CREATED:20260219T153217 DESCRIPTION: Who should attend this course? \n\n This course is designed fo r anyone responsible for growing visibility\, traffic and influence in AI- powered search and discovery environments. \n\n Ideal for: \n\n \n SEO pro fessionals expanding beyond Google-only playbooks \n Growth marketers and performance teams exploring new discovery channels \n Content strategists\ , writers and editors publishing at scale \n Technical SEOs and developers managing site health and structure \n Product managers working on search features or AI integrations \n Agencies and consultants offering modern GE O and AEO services \n Founders and brand owners preparing for an AI-domina nt future \n \n\n If your brand wants stronger presence in AI-generated an swers\, citations\, and assistant-led sessions\, this course is built for you. \n\n \n\n Why choose this course? \n\n AI assistants are now a majo r 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 al l industries. \n\n In this new environment\, grounding and web search play a critical role. Large language models use grounding to verify informatio n\, reduce hallucinations and select trusted sources. This means your webs ite structure\, content clarity and entity consistency directly influence whether AI assistants choose your brand as a reliable answer. \n\n Althoug h AI search is new\, strong SEO fundamentals are still essential. Proper c rawling\, structured content\, internal linking\, clean HTML\, clear headi ngs\, strong semantics and comprehensive topic coverage remain the foundat ion of visibility\, they are simply being applied in a new way. \n\n In th is advanced\, practical course\, you will learn: \n\n \n How ChatGPT\, Gem ini and Perplexity retrieve\, verify and quote website content \n How grou nding\, retrieval and re-ranking systems affect visibility \n How to creat e content that is consistently used in AI-generated answers \n How to appl y SEO fundamentals in an AI-first world \n How to measure AI visibility us ing prompt tracking and share-of-voice models \n How to build high-perform ing glossary hubs\, comparisons\, TL\;DR blocks and definition sections \n How to structure your site for better indexing and reliable data extracti on \n \n\n The course includes real examples\, case studies and experiment s from real brands\, with space for questions and live project discussion. \n\n You will leave with a clear\, actionable list of tasks you can imple ment immediately\, including technical improvements\, content upgrades and AI visibility checks. \n\n 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. \n\n \n\n Course Content \n\n Core Foundations \ n\n \n What GEO/AEO really is (and isn’t): optimising for answers and ci tations\, not just rankings \n How LLM “search” differs from classic r etrieval (indexing\, RAG\, grounding and web mode) \n New success metrics: citation share-of-voice\, answer inclusion rate\, assistant-driven traffi c \n \n\n Module 1: Modern AI Retrieval &\; Ranking \n\n \n RAG pipelin e anatomy: candidate generation → re-ranking → synthesis \n How topica l authority maps to embedding coverage and entity consistency \n Re-ranker s\, cross-attention\, recency bias and “lost in the middle” effects \n Where clarity wins vs where breadth matters \n \n\n Module 2: Measurement – Build Your GEO/AEO Telemetry \n\n \n Measurement model: prompts → c itations → clicks → conversions \n Using Search Console and Bing Webma ster Tools for synthetic signals \n Citation tracking systems and prompt l ibraries \n Share-of-voice frameworks by topic and competitor \n Identifyi ng assistant traffic and behavioural patterns \n \n\n Module 3: Technical Foundations \n\n \n Crawlability for AI assistants: robots\, sitemaps\, ca nonicals\, duplication \n Rendering strategies: SSR vs CSR and performance budgets \n Building citation-ready pages with clean HTML and predictable structure \n \n\n Module 4: Content Engineering for Citations \n\n \n Answ er-first sections: TL\;DRs\, definitions\, comparisons and step-by-steps \ n Entity-first writing and disambiguation \n Query fan-out planning from s eed topics \n “Quote shaping”: sentences designed to survive extractio n \n Content refresh strategies: update\, fork or consolidate \n \n\n Modu le 5: Competitive GEO – Win the Synthesis Layer \n\n \n Competitor citat ion archetypes \n Topic cluster strategies: breadth vs depth vs primary da ta \n Brand narrative control and credibility surfaces \n Digital PR for A I: what gets repeatedly cited \n \n\n Module 6: Hands-on Lab – Build You r GEO/AEO Playbook \n\n \n Select a brand\, competitors and money topic \n Run a live audit and gap analysis \n Build a 30–100 prompt tracking pac k \n Create share-of-voice snapshot and priority roadmap \n Draft three “citation magnets” \n \n\n Module 7: Experiments &\; Iteration \n\n \n Testing frameworks and evaluation models \n What to test: formats\, ta bles\, author signals\, definitions \n Guardrails for trust and hallucinat ion risk \n Reporting cadence and iteration cycles \n \n\n Module 8: Ops\, Governance &\; Scaling \n\n \n SOPs for teams and junior staff \n Dash boards and prompt catalog systems \n Stakeholder communication and ROI map ping \n \n\n Take-home Deliverables \n\n \n GEO/AEO audit checklist \n Pro mpt tracking templates \n Citation share-of-voice model \n 90-day roadmap: quick wins → compounding wins → long-term moats \n \n\n \n\n What's included in your ticket? \n\n Book onto the in-person training course and you will get: \n\n \n A full day's training on your chosen topic the day before the main conference \n Lunch included on your training day \n \n\n \n\n 📍Location: etc.venues Marble Arch \n\n 🏨Hotels: https://conve ne.com/locations/london/marble-arch/hotelmap/ \n LAST-MODIFIED:20260430T101632 LOCATION:etc.venues Marble Arch\, London\, UK ORGANIZER:mailto:hey@roughagenda.com SUMMARY:[SOLD OUT] Advanced GEO & AI Optimisation Training - LONDON 22nd Ma y 2026 URL;VALUE=URI:https://ti.to/roughagenda/advanced-geo-ai-optimisation URL;VALUE=URI:https://ti.to/roughagenda/advanced-geo-ai-optimisation END:VEVENT END:VCALENDAR