AI is changing how buyers research and how you plan your AI search visibility strategy. Today, we operate across two internets:
- The human web you measure in GA4, where users browse, click, and convert.
- The agentic web, where LLMs crawl, read, and cite your content in ChatGPT, Perplexity, Gemini, and Google AI Overviews.
The visibility shift is real: LLMs are visiting your site more often than you think, surfacing citations from LinkedIn, About pages, blogs, and schema, and exposing brands without a clear AI strategy. Over 60% of Google results now show AI Overviews, and educated buyers increasingly trust LLM recommendations over traditional blue links.
In this focused session, Rampiq CEO Liudmila Kiseleva shares the three AI visibility strategies B2B teams need to include in their 2026 marketing budget, backed by 500+ AI visibility audits and Rampiq’s case study of a B2B brand securing 850+ AI Overviews.
You’ll leave with a clear list of what to plan for, what to prioritize, and how to protect AI search visibility in the new search environment.
You Will Learn
- Why AI visibility requires a dedicated 2026 budget line and how to connect AI search visibility to pipeline and revenue
- How LLM bots access your content and what to include in an AI visibility audit
- Essentials of GEO-ready content structure, schema, and brand consistency for AI Overviews and LLM-powered search
- How to measure AI-driven citations, AI Overview presence, and agentic traffic in your B2B AI visibility reports
Who It’s For
B2B marketers, content strategists, SEO leads, and growth teams planning 2026 budgets who need a practical, actionable framework to win AI search visibility across AI Overviews and LLM-driven search.
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