Here’s the thing: while B2B brands are reporting organic traffic drops of 15-30% year-over-year, there’s a hidden opportunity most are missing. Through conducting 3-4 AI audits per week, we’ve discovered that leads coming from ChatGPT aren’t just good – they’re well-educated, warmer, and more willing to engage than traditional search traffic.
But here’s the challenge: while AI overviews now dominate 47% of Google results and everyone uses AI daily, most B2B marketers still don’t know how to check if their brand is visible to LLMs, understand how they’re being cited, or scale this emerging traffic source.
The reality? LLMs are fundamentally different from traditional search engines. They don’t just store and retrieve – they synthesize, predict, and apply layers of knowledge. They’re “lazy” crawlers that surface content rather than diving deep, which means your traditional SEO playbook needs serious updates.
In this session, Liudmila Kiseleva, CEO of Rampiq, reveals the empirically-tested strategies we use to help B2B brands optimize for AI-driven search. This isn’t theoretical it’s based on real audits, live visibility testing, and scientifically validated approaches that are already driving results for our clients.
What You Will Learn:
- How large language models (LLMs) like ChatGPT process content differently than traditional search engines
- How to structure and surface your content for maximum visibility in native AI search
- How to track your brand’s presence in AI models using tools like Common Crawl and proprietary LLM visibility audits
- How to assess citations, detect positioning gaps, and update critical web assets like robots.txt, schemas, About pages, and LinkedIn profiles
Who is it for?
This webinar is designed for B2B marketers, SEO professionals, content strategists, and brand leaders seeking to understand how AI tools read, cite, and prioritize digital content.
Additional Resources
- LLM Visibility Toolkit – Explore how logs, bots, and audits reveal what AI knows about your brand
- Custom GPTs – Learn how building tailored GPTs can help train models on your own brand language
- Citation Strategy – Discover how updating help docs, About pages, and high-authority backlinks can increase inclusion in model training datasets
Bonus!
AI Search Checklist for B2B Companies – A concise, actionable summary of optimization steps discussed live in the session.
