AI search visibility and success metrics are reshaping how brands are found and evaluated across ChatGPT, Google AI Overviews, and other LLM-driven platforms.
In this AI search measurement webinar and toolkit, Rampiq CEO Liudmila Kiseleva walks you through the practical measurement framework used with B2B tech and SaaS companies to evaluate AI search visibility across ChatGPT, Google AI Overviews, and other LLM-driven platforms. Watch this webinar to get practical frameworks to audit brand mentions, citation visibility, prompt coverage, and performance KPIs that matter for AI search success.
Traditional SEO dashboards do not capture how large language models retrieve, cite, and cluster brands. AI search introduces model memory versus real-time retrieval, citation patterns, entity associations, and zero-click AI answers. In this session, Liudmila explains what to measure, how to interpret the signals, and how to use AI visibility data to inform content, SEO, and positioning decisions.
What You’ll Learn: AI Search Success Metrics & Tools
- How to audit what LLMs “remember” about your brand versus what they retrieve in live search
- How to audit brand visibility, citations, and prompt coverage using tools such as Vertology and Amadora
- How to analyze inclusion in Google AI Overviews
- How to connect AI visibility data to traffic, attribution, and pipeline reporting
- How to identify visibility gaps and prioritize optimization actions
Who This AI Search Strategy Webinar is For
B2B marketers, SEO leads, content strategists, and growth owners who need a structured approach to measure AI visibility, evaluate how LLMs retrieve and cite their brand, monitor prompt-level presence across ChatGPT and Google AI Overviews, and connect AI search performance to measurable business outcomes.
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