Send a text

📬 You like this podcast? You’ll love the newsletter.
Join the weekly 3-2-1 on AI search + marketing: subscribe

How does AI search actually work—and how do brands show up? AI engines surface brand mentions based on relevance, context, structure, and reuse potential, not traditional rankings or blue-link SEO alone.

In this episode of Found in AI, Cassie sits down with Charlie Graham, founder and CEO of RivalSee, to unpack how AI visibility optimization (AIVO) is reshaping how brands appear inside ChatGPT, Perplexity, and Google’s AI Mode.

The conversation breaks down how AI systems source and evaluate content, why mentions often matter more than links, and how long-tail, bottom-of-funnel content increasingly outperforms top-of-funnel assets in AI-driven search experiences.

Rather than requiring a full SEO overhaul, the episode outlines practical ways teams can experiment with AI visibility—using structure, schema, and intent alignment to influence what gets surfaced in AI-generated answers.

In this episode, you’ll learn:

• How AI engines source, evaluate, and surface brand mentions
• Why long-tail, bottom-of-funnel content performs better in AI search
• How structured data, static content, and schema impact AI visibility
• The difference between being linked and being mentioned — and why it matters
• Practical ways small teams can test AI visibility optimization
• What AIVO signals reveal about how AI search is evolving

If you’re trying to adapt your content strategy for the next era of search — and want your brand to actually appear in AI answers — this episode explains how AI search works and what to focus on first.

💬 Let’s connect:
LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: AIVO, AI Visibility Optimization, AI Search, SEO, Long-Tail Keywords, Structured Data, Generative Engine Optimization, AEO, GEO, Brand Mentions, Content Strategy, B2B Marketing

Find the show notes and transcript here.