Google AI Overviews now appear in over 80% of searches. But only 40% of cited sources come from pages already ranking in the top 10.
The other 60%? Pulled through fan-out queries, citation patterns, and topical signals that most B2B teams aren’t tracking yet.
In this session, Rampiq CEO Liudmila Kiseleva breaks down the mechanics behind AI Overview inclusion, based on analysis of thousands of AI Overview rankings across B2B search environments. She walks through how Google’s Gemini model uses retrieval-augmented generation and fan-out queries to build answers, why traditional rankings alone don’t guarantee visibility in AI-generated results, and what B2B brands can do about it right now.
The session includes live audits using Ahrefs, Semrush, and Amadora showing exactly how to find your AI Overview opportunities, analyze the citations your competitors are earning, and identify the fan-out queries pulling content into answers behind the scenes.
What You’ll Walk Away With
- Why 31% of AI Overview citations come from pages that don’t rank in the top 100 organically, and what that means for your content strategy
- How to use Ahrefs and Semrush to find pages already close to AI Overview inclusion
- How fan-out queries work and how to analyze them with Amadora to uncover ranking signals invisible in traditional SEO tools
- A framework for citation gap analysis: which sources Google’s model is pulling instead of yours, and how to close that gap
- Why generic content and weak topical authority are the top reasons B2B brands get excluded from AI-generated answers
Who This Is For
B2B marketers, SEO leads, content strategists, and growth teams trying to figure out how AI search visibility actually works in practice. Especially relevant if you’ve noticed traffic shifts from AI Overviews or zero-click behavior and want a concrete playbook, not theory.
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