Summary: - The episode, hosted by Andrés Díaz, explains how AI-generated automatic chapters can boost podcast retention, listening time, and SEO in about five minutes. - Chapters are timestamps and short, catchy section titles derived from the episode’s transcription. They help listeners jump to relevant parts and can appear in search results as “key moments.” - Recent updates boost their usefulness: Apple Podcasts now supports automatic transcripts in Spanish, YouTube has better automatic chapters, and Podcasting 2.0 enables enriched chapters via RSS with text, links, and images. - Five-minute workflow: 1) Transcribe the episode (automatic tools or services) and check key terms. 2) Use AI to generate clear chapters with approximate timestamps and concise, keyword-rich titles using verbs. 3) Refine titles to emphasize benefits and solve listener questions. 4) Insert chapters into ID3 tags, RSS feed, or descriptions (and duplicate in other platforms for consistency). 5) Measure performance (average listening time, completion rate) and adjust (move essential content earlier; optimize successful chapters into clips or articles). - Practical tips: use verbs and benefits in titles, include real keywords, place an essentials chapter early, and add a final call-to-action as a chapter. - Common mistakes to avoid: vague titles like “Part One,” overly long chapters, and titles that promise content not delivered. - The piece emphasizes a fast, repeatable process and encourages experimentation with a concrete challenge: generate 4–6 chapters for the latest episode, tweak two details, publish today, and monitor results. - Additional guidance covers platform compatibility, how images or other media can accompany chapters, and the benefits of consistent chapter templates to build listener loyalty. - Final takeaway: AI-generated chapters are the quickest way to turn audio into a guided, retention-friendly experience; five focused minutes beat hours of editing. Remeber you can contact me at [email protected]