How to get discovered in AI search
2026-09-17 · 55 min · episode 372 · 8 entities
Asserted relationships
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Feed author/publisher: Daniel Whitenack and Chris Benson
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Feed category: Technology
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Feed author/publisher: Practical AI LLC
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Link in episode "How to get discovered in AI search": https://midwestaisummit.com/
Entities found in this episode
companys 4
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Feed author/publisher: Practical AI LLC
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Feed category: Technology
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Feed category: Technology
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Feed author/publisher: Practical AI LLC
persons 2
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Feed author/publisher: Daniel Whitenack and Chris Benson
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Feed author/publisher: Daniel Whitenack and Chris Benson
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Link in episode "How to get discovered in AI search": https://midwestaisummit.com/
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Link in episode "How to get discovered in AI search": https://midwestaisummit.com/
Episode description as stored
AI search is changing how people discover information and how brands need to think about visibility. Daniel and Chris talk with Liam Dunne and Ben Moore, co-founders of Discovered Labs, about the shift from traditional SEO to AI search, what happens behind the scenes when an LLM generates an answer, and why retrieval and citations don't always tell the whole story. They dig into AI visibility, Reddit strategy, query fan-out, representation in model weights, and consensus. They also look ahead to a world where AI agents don't just discover websites, but interact with them and take actions on behalf of users.
Featuring:
Liam Dunne – LinkedIn
Ben Moore – LinkedIn
Daniel Whitenack – Website , GitHub , X
Chris Benson – Website , LinkedIn , Bluesky , GitHub , X
Links:
What AI models know about 1,000 B2B SaaS brands before web search
Discovered Labs
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Midwest AI Summit: Join AI practitioners on October 15 in Indianapolis for practical sessions, hands-on discussions, and real-world AI solutions. Use code PracticalAI20 to save 20% on your registration. https://midwestaisummit.com/#tickets
Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalai
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