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In this episode of Found in AI, Cassie is joined by Kristina Frunze, founder of WebviewSEO, an SEO and AI search optimization agency for B2B SaaS. Together, they unpack what AI visibility really looks like in practice—and why share of voice, intent alignment, and brand consistency matter far more than screenshots of a single AI answer.

Rather than chasing the illusion of ranking, this episode reframes GEO around measurable influence, bottom-of-funnel visibility, and the structural signals AI systems use to interpret and recommend brands.

In this episode, you’ll learn:

• Why “ranking” is the wrong mental model for LLM visibility
• How AI answers vary, even when prompts stay the same
• What AI Share of Voice actually measures (and why it matters)
• Why tracking 150 prompts is usually unnecessary—and what to track instead
• How bottom-of-funnel prompts drive more meaningful visibility than top-of-funnel queries
• Whether long-form content still works in AI search (and when shorter answers perform better)
• How to build objective, methodology-driven listicles that AI systems trust
• Why brand consistency across LinkedIn, directories, and owned assets impacts LLM understanding
• How messaging ambiguity weakens AI confidence signals
• What brands can do today to improve frequency of mention in AI-generated answers

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com