The AI search is evolving faster than traditional SEO cycles. LLMs are learning, citing, and personalizing content in ways traditional SEO can’t track. New categories, terms, and expertise need to be explained intentionally – or your brand may risk being misrepresented or overlooked.
In this webinar, Rampiq CEO Liudmila Kiseleva shares seven frontline predictions for AI search in 2026, based on real-world client experience, first-party research, and insights from working with new and established brands navigating LLM-driven discovery.
You’ll walk away with actionable insights to educate AI, protect your brand, and build authority – even in competitive or emerging markets. One client example shows how structured glossaries and founder-led insights helped a new brand define its category and get cited accurately by LLMs, despite being completely unknown in training data.
What This AI Search Webinar Covers
- How consistent content formats and glossaries help AI understand your expertise
- Use your own data, founder insights, and original research to claim authority in your niche
- Keep messaging consistent across LinkedIn, websites, and social channels to reduce negative signal impact
- Technical foundations, FAQ schemas, and structured content to get noticed by AI, even on a limited budget
- Identify niche opportunities where your brand can dominate and gain authority in AI search
- How different LLMs rank content differently and why consistency matters across platforms
- Maximize control over what AI sees while strategically leveraging external mentions for credibility
Who It’s For
This webinar is for B2B marketers, founders, SEO leads, growth teams, and content strategists who want to stay ahead in AI search trends, ensure new categories and expertise are recognized by AI, and build authority while protecting brand perception in LLM-driven search.
This is a recorded, past webinar focused on AI search predictions and observed trends from live environments.
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