AI tools like ChatGPT, Gemini, and Perplexity surface content differently than traditional search. They synthesize answers and cite pages based on how information is structured and supported.
In this practical webinar hosted by Databox and led by applied AI strategist Rick Kranz, you’ll learn what changes help your content get surfaced, trusted, and linked — without losing what already works.
What This Webinar Covers:
How AI systems actually read and interpret content
Why structure matters more than length or volume
How AI decides what to cite and recommend
When to update existing content and when not to
How AI visibility and traditional search can work together
This Webinar Is Useful If You:
Publish content and want it to be discoverable in AI search
Care about qualified traffic, not just impressions
Prefer clear frameworks over trends
Want a practical starting point without rebuilding everything
Need clarity on adapting content for AI search without a full overhaul
Why This Webinar Matters
Rick Kranz brings two decades of experience building scalable growth systems across sales, marketing, and operations, and now applies that same systems-based approach to AI search.
This session focuses on implementation:
How AI systems actually interpret content
What increases the likelihood of being cited
Why structure and specificity outperform volume
The examples shared are based on live implementations, not theory.
Get Found In AI Search Webinar
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