EPISODE · May 6, 2026 · 30 MIN
How to Get Recommended by AI, Not Just Found with Andreas Voniatis
from The Podcast Interview Marketing Show · host Interview Valet
AI isn't rewarding noise, it's rewarding signal. Andreas Voniatis, who built his first machine learning model in 2019 and founder of Artios.io, joins Tom Schwab to break down how AI search (GEO) is fundamentally different from traditional SEO. Generic, rehashed content won't get you recommended. Proprietary research, real conversations, and original insights will. Discover why podcast interviews are uniquely positioned to feed AI the kind of content it's looking for, how to become visible, and, more importantly, be recommended. Timestamps From This Episode: [02:48] Original content makes AI models smarter and makes you more visible [04:45] AI search is 8x more expensive than Google, so it requires high-value, unique content to justify the cost [07:19] SEO vs GEO. AI is persona-driven, not keyword-driven [14:18] Why old SEO hacks no longer work [21:38] Podcasts & AI indexing transcripts feed AI. Video is the future Resources From This Episode: artios.io/winning PodcastInterviewMarketing.com InterviewValet.com
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How to Get Recommended by AI, Not Just Found with Andreas Voniatis
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