Anastasiia Sosyniuk
International Marketing Strategist | AI Visibility & Growth Consultant | Co-Founder at Go Global
Stockholm, Sweden
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Anastasiia Sosyniuk is an international digital strategist, marketing consultant, and speaker with more than 15 years of experience helping technology companies grow, scale, and enter new markets.
She is the Co-Founder of Go Global, a consultancy that supports businesses with international expansion, market positioning, content strategy, and AI-driven visibility. Anastasiia also leads the digital marketing function at Gart Solutions, where she develops growth strategies for cloud, technology, and B2B service companies.
Her expertise spans AI Visibility, Generative Engine Optimization (GEO), Search Engine Optimization (SEO), content marketing, demand generation, and international go-to-market strategy. She works with organizations across Europe, North America, and the MENA region, helping them build authority, improve discoverability, and create scalable growth systems.
Anastasiia is an active advocate for practical AI adoption in marketing and business operations. She regularly advises founders, marketing leaders, and technology teams on how to leverage AI tools, automation, and emerging search technologies to improve efficiency and competitive advantage.
In 2026, she presented "AI Visibility for HealthTech: How HealthTech Startups Can Stand Out in AI Search" at the Nordic healthcare innovation conference Vitalis, where she shared frameworks for helping organizations become trusted sources in AI-generated search experiences.
Her speaking topics include:
• AI Visibility, GEO & AI Search
• International Market Expansion
• B2B & Technology Marketing
• Content Strategy & Thought Leadership
• SEO, AEO & Organic Growth
• Marketing Automation & AI Adoption
Based in Kyiv, Ukraine, Anastasiia combines strategic thinking with hands-on execution to help organizations navigate growth in an increasingly AI-driven world.
Area of Expertise
Topics
Visibility in AI for Gaming: How Game Studios Can Win AI Search
Whether it’s ChatGPT, Gemini, Perplexity, or AI Overviews, these systems now decide which games get recommended, compared, and surfaced first. If your game isn’t visible in AI answers, you’re effectively invisible to a growing share of discovery traffic.
In this session, we’ll break down how AI visibility works specifically in the gaming industry—and how studios can position themselves to be the first name AI mentions.
We’ll explore GEO applied to gaming and turn it into a practical, industry-specific playbook:
1️⃣ Gaming AI Visibility Signals – What AI systems actually “trust” in the gaming space: Steam pages, reviews, gaming media, Reddit communities, patch notes, and influencer-driven signals.
2️⃣ Content & Storefront Optimization for AI Search – How to structure game descriptions, metadata, FAQs, and documentation so AI systems can correctly interpret and recommend your game.
3️⃣ Earned Media in Gaming Ecosystem – Which gaming publications, review sites, and community sources AI consistently cites—and how to get your game into those conversations.
4️⃣ Community Signals Matter More Than Ever – Why Reddit, Discord, Steam reviews, and player sentiment now directly influence AI-generated recommendations.
By the end of this session, you’ll have a clear, actionable framework for improving your game’s visibility in AI-driven discovery systems—helping your studio stand out in an increasingly AI-mediated gaming ecosystem.
https://www.linkedin.com/in/anastasiia-sosyniuk/
The AI Visibility Layer: How LLMs Decide What to Show, Cite, and Ignore
As AI assistants like ChatGPT, Gemini, Perplexity, and AI Overviews become primary discovery interfaces, a new layer is emerging between users and the web: the AI visibility layer.
This session explores how large language models and answer engines decide which sources to surface, cite, or ignore when generating responses—and why some companies, products, and content consistently appear in AI answers while others remain invisible.
We will break down the mechanics of AI-driven discovery in practical terms, focusing on how information is retrieved, ranked, and synthesized across LLM-based systems. Instead of traditional SEO thinking, we will examine how visibility is shaped by AI interpretation, source selection, and citation behavior.
Key areas covered include:
1️⃣ How AI systems “see” the web – understanding retrieval, ranking, and grounding in LLM-based answers
2️⃣ Why certain sources dominate AI citations – patterns in authority, structure, and trust signals
3️⃣ The rise of AI-mediated discovery – how AI Overviews and chat-based search replace traditional SERPs
4️⃣ What influences AI visibility today – from structured data to external mentions and content consistency
5️⃣ A practical mental model for AI visibility – how to think about being discoverable in an AI-first information ecosystem
By the end of this session, attendees will understand the new visibility layer created by LLMs and gain a clear framework for how AI systems decide what gets shown, cited, or ignored in generated answers.
Lets use it Why Your IT Business Is Invisible to AI (and How to Fix It)
As AI systems like ChatGPT, Gemini, Perplexity, and AI Overviews become the first point of discovery, traditional channels like Google search, ads, and even referrals are being filtered through a new gatekeeper: AI-generated recommendations.
Many IT and service businesses are already experiencing a quiet problem — they are successful in traditional channels but completely absent from AI answers. When potential clients ask AI tools for vendors, partners, or solutions, these companies are simply not mentioned.
In this session, we break down why this happens from a systems perspective. We explore how AI models retrieve, interpret, and prioritize information when generating recommendations, and why certain companies consistently appear while others are ignored.
We will cover practical factors that influence AI visibility today, including structured data, external mentions, content consistency, and trust signals across the web ecosystem.
Attendees will leave with a clear mental model of how AI-driven discovery works, and a practical framework to identify why their business is invisible — and what needs to change in their digital and information architecture to fix it.
https://www.linkedin.com/in/anastasiia-sosyniuk/
How AI Systems Decide Who Gets Seen: Visibility in LLMs, AI Overviews, and Answer Engines
As AI Overviews, ChatGPT, Gemini, Perplexity, and other LLM-powered answer engines become the first point of discovery, traditional search visibility is being replaced by AI visibility.
This session explains how these systems decide which brands, products, and sources appear in generated answers—and why many companies are becoming invisible despite strong SEO performance.
We will break down how AI systems retrieve, rank, and synthesize information, focusing on real patterns behind citations, source selection, and answer generation. You will learn what influences visibility in AI-driven search environments and how this new “AI visibility layer” is reshaping digital discovery.
Attendees will leave with a clear mental model of how visibility works across LLMs and AI search interfaces, and what determines whether your content is surfaced, ignored, or recommended.
https://www.linkedin.com/in/anastasiia-sosyniuk/
Engineering Visibility in the Age of LLMs and Agents
As AI assistants and LLM-powered agents become the primary way users discover software, visibility is no longer a marketing problem — it is a systems design problem.
This session explores how software architecture, APIs, documentation, and data structures influence whether products can be discovered, understood, and recommended by AI systems like ChatGPT, Gemini, Claude, and Perplexity.
Through real examples and technical patterns, we will reverse-engineer how LLMs retrieve and rank information, and translate that into practical engineering decisions. Attendees will learn how to design AI-readable systems that are naturally discoverable in the age of agents.
https://www.linkedin.com/in/anastasiia-sosyniuk/
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