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Turn a “steady but stuck” podcast into a discoverable, lead-generating asset by structuring episodes so AI tools can pull your content as direct answers.

Answer Engine Optimization (AEO) is the practice of structuring your podcast titles, show notes, and transcripts so AI tools can pull your episode as a direct answer when someone asks a question. Unlike traditional SEO, which focuses on keyword rankings, AEO focuses on being the best clear, credible answer to a specific problem. For podcast growth, AEO matters because most new listeners search for solutions so your podcast must match question-based behavior.

In this episode, Julie Deem explains AEO for podcasts to help AI search recommend your show. SEO still matters, but user behavior has shifted: people ask full conversational questions inside AI tools and voice assistants. AEO wins when your content is formatted like an answer page.

FAQ:

What is Answer Engine Optimization (AEO) for podcasts?
AEO is optimizing your podcast titles, show notes, and transcripts so AI tools can pull your content as a direct answer to a question. It’s about becoming the quoted source, not just ranking for keywords.

What’s the difference between SEO and AEO?
SEO helps you rank in search results for keywords. AEO helps you show up as the answer when someone asks a full question in AI search, voice assistants, or AI overviews.

How do I write show notes that work for AI search?
Start with a direct answer at the top, then expand with clear headings and a problem/solution structure. Add an FAQ section so your page mirrors how people search.

Why do transcripts matter for AEO?
AI can’t reliably “pull answers” from audio, it pulls from text. A cleaned, readable transcript turns your episode into searchable, indexable content that can be cited.

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Extra resources at:
https://www.thebusinesspodcasteditor.com/

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