AI search is changing how brands are discovered, evaluated, and recommended.
Platforms like ChatGPT, Perplexity, Gemini, and Google AI Overviews are becoming a new research layer for B2B buyers. In these environments, visibility is no longer shaped by rankings alone. AI relies on entities, citations, and contextual mentions to decide which brands appear in answers.
In this webinar, Rampiq CEO Liudmila Kiseleva explains how AI search works and how brands can measure and improve their visibility across AI platforms.
You’ll see how AI “understands” a brand, how citations influence recommendations, why mentions matter even without links, and how these signals affect the likelihood of being included in AI answers.
The session also includes practical examples, prompt walkthroughs, and live demonstrations of how AI visibility can be analyzed across branded and non-branded queries, including using Amadora, the AI visibility platform for tracking prompts, citations, and brand mentions.
You Will Learn
- How AI evaluates brands through entities, citations, and mentions
- The difference between model memory and live search results in ChatGPT and other AI platforms
- How to analyze what AI already knows about your brand and identify visibility gaps
- How to see which sources influence AI answers and why some brands are mentioned while others are not
- How to use Amadora to track AI visibility, citations, and competitor mentions across key prompts
Who It’s For
This webinar is designed for B2B marketers, SEO leaders, content strategists, founders, and growth teams who want to understand how AI platforms interpret their brand and influence vendor discovery.
It is especially relevant for teams looking for a practical framework to measure AI visibility, understand how AI recommendations are formed, and turn those insights into content, SEO, and positioning decisions.
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