There’s no shortage of things B2B marketing teams could be doing in AI Search.
More data. More tools. More advice. More signals to track.
The harder question is what to prioritize.
Which visibility gaps actually matter? Which sources are shaping how AI understands your brand? And are the competitors you’re tracking the same ones AI is recommending alongside you?
In this session, Rampiq CEO Liudmila Kiseleva breaks down 3 practical AI Search tactics we’re prioritizing right now across B2B tech brands, based on what we’re seeing and applying across real client programs.
You’ll see how to look beyond surface-level visibility scores, understand the signals influencing AI answers, and uncover opportunities that can easily get missed when AI Search is treated as a separate marketing channel.
Liudmila also covers what isn’t worth over-prioritizing right now and how AI Search insights can support your content, SEO, paid media, and broader GTM efforts.
The goal: cut through the noise, focus on the signals that matter, and put your Q4 effort where it can move AI visibility and pipeline forward.
You Will Learn:
- How to uncover AI visibility gaps that your overall scores may be hiding
- Which signals influence how AI understands and recommends your brand
- How to identify the competitors actually showing up alongside you in AI answers
- What AI Search activities may not be worth your team’s time right now
- How to use AI Search signals to support your broader marketing and pipeline efforts
Who This Is For
This session is for B2B marketing, SEO, demand generation, and revenue leaders who know AI Search matters but need a clearer answer to what to prioritize next.
It is especially relevant for in-house teams looking to turn AI Search data into practical actions, make better use of their existing marketing efforts, and connect AI visibility with the broader GTM and pipeline picture.
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