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SPEAKING & RESEARCH

Keynotes & Slide Decks

Explore the concepts, data, and frameworks Yuliya Halavachova presents at local events and global conferences. Download decks on Generative Engine Optimization, the Citation Economy, and the future of AI-driven discovery.

Our founder, Yuliya Halavachova, is a sought-after speaker on AI search, AEO, and GEO. Her presentations are cited in academic research and industry publications. All decks contain original data, proprietary frameworks, and actionable insights.

Latest Presentations

NEW · APRIL 2026

AI Crawlers Are the New Online Users — How to Implement robots.txt

AI crawlers are no longer just scrapers — they are users with intent: answer, attribute, train. This presentation covers crawler UX, robots.txt configuration for GPTBot, ClaudeBot, PerplexityBot and Google-Extended, the curl test, llms.txt, and designing for the agentic web.

Apr 2026 Full video Slide deck included
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APRIL 2026

How to Appear in ChatGPT 2026 — What Really Works

42-minute full presentation covering the 59% tipping point, how AI generates answers (tokenise → understand → generate), GEO vs AEO vs AIEO, the Citation Probability Model, Information Gain, designing websites for AI retrieval, and the UltraScout AI 5-Layer Intelligence System.

Apr 2026 Full video · 42 min Slide deck included
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CLAUDE CODE LONDON · FEB 2026

AI Search & Visibility 2026

How to win when AI answers the question. Introduces the Citation Probability Model and the 2025 inflection point. Features the G=0 vs. G=High framework.

Feb 2026 12 slides
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WOMEN IN TECH & INNOVATION · MAR 2026

AI Search, AI Visibility GEO/AEO & Prompt Engineering CLEAR Framework

Full keynote covering the state of AI Search, how to measure AI Visibility, GEO/AEO strategy, and the CLEAR prompt engineering framework for AI-optimised content. With live platform demos and case study data.

Mar 2026 Video available
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ULTRA SCOUT INTERNAL · JAN 2026

Technical AIO: Treating Your Site as an API

Deep dive into JSON-LD, llms.txt, and Chain-of-Thought structure for AI retrieval. Includes code examples and implementation patterns.

JAN 2026 37 slides
Available upon request

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