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The 22 Lions Podcast: AI, Self-Publishing & Book Empire Secrets

The 22 Lions Podcast: AI, Self-Publishing & Book Empire Secrets

Written by: 22Lions.com
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Are you ready to build a six-figure book empire using AI, smart self-publishing, and the same strategies the world's bestselling indie authors use every day?

Welcome to The 22 Lions Podcast — your daily 10-minute shot of insight on self-publishing, Kindle Direct Publishing (KDP), AI writing tools, book marketing, Amazon ads, audiobook production, royalties, and the business of being a modern author.

Hosted by the founder of 22Lions.com (powered by AI and human strategy), every episode unpacks a fresh trend, tool, mistake, or money-making strategy used by today's top authors and publishers — so you can write smarter, publish faster, and grow your author income without burning out. 🦁

Whether you're a brand-new writer, a self-published author, a ghostwriter, a publisher, or a content entrepreneur, this show gives you the daily roar you need to dominate your niche.

What you'll learn: AI tools for authors • Self-publishing on Amazon KDP • Book marketing & launch strategies • Building a book funnel • Audiobooks & ACX • Author branding • Passive income from books • Print-on-demand • Royalty optimization • Book cover design • Author email lists • Foreign rights • Audible & Findaway • Ghostwriting • Genre trends. New episodes every weekday morning. Subscribe and join the Pride.

🌐 More resources, free guides, and our flagship publishing program at 22Lions.com

Become a supporter of this podcast: https://www.spreaker.com/podcast/the-22-lions-podcast-ai-self-publishing-book-empire-secrets--7016918/support.22Lions.com
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Episodes
  • ARC Sprint: Turn Early Reader Feedback into a Conversion-Boosting Launch Plan
    May 21 2026
    Before you spend on ads or rewrite your entire book, your ARCs hold the fastest signals to improve launch performance. In this compact news-recap Dan and Aria walk listeners through an ethical, low-cost "ARC Sprint": a repeatable workflow that uses AI to synthesize reader notes, quantify sentiment, and translate feedback into three high-impact actions you can ship in 48–72 hours. We cover how to collect structured ARC responses, run extractive summaries to surface recurring complaints and hooks, prioritize fixes by conversion impact, and convert top signals into a blurb rewrite, one targeted manuscript tweak, and two ad/metadata hooks. The episode includes prompt templates, a simple scoring rubric for prioritization, and a mini A/B test plan so authors and small publishers can validate changes quickly. Ideal for indie authors, ghostwriters, and small presses who want to turn early reader input into measurable sales lift without derailing a launch.

    Become a supporter of this podcast: https://www.spreaker.com/podcast/the-22-lions-podcast-ai-self-publishing-book-empire-secrets--7016918/support.
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    5 mins
  • Review Mining Lab: Use AI to Turn Competitor Reviews into a Conversion Upgrade
    May 20 2026
    Authors obsess over covers and ads but often overlook the goldmine in public reviews. This episode teaches a repeatable, ethical workflow for using AI to analyze competitor reviews, cluster common complaints and praise, and translate those signals into concrete updates: blurb tweaks, sample rewrites, micro-edits in the opening chapters, and targeted backmatter. Dan and Aria walk through a three-part framework authors can run in a few hours: scrape and cleanse review data, use AI to extract themes and sentiment, then prioritize and implement the top fixes that move the conversion needle. Listeners get tactical prompts, low-cost tooling options, and a short A/B test blueprint so changes are measurable. Ideal for authors with 1–10 titles who want a data-driven path to better conversions without rewrites or expensive redesigns.

    Become a supporter of this podcast: https://www.spreaker.com/podcast/the-22-lions-podcast-ai-self-publishing-book-empire-secrets--7016918/support.
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    9 mins
  • Pre-Launch Metadata Lab: Off-Amazon Tests That Improve KDP Conversions
    May 19 2026
    Too many indie launches fail because metadata — title, subtitle, cover, blurb, price — is chosen by guesswork. This episode teaches a practical, repeatable 'Pre-Launch Metadata Lab' authors can run in a week to validate the single metadata combo that will convert best on Amazon. Dan and Aria explain which off‑Amazon channels give the clearest signals (email polls, targeted micro-surveys, BookTok/Reddit blind posts, private reader panels), how to frame A/B prompts so results map to Amazon behavior, and a lightweight cadence for testing without delaying launch. You’ll get a simple decision rule to pick a winner, a checklist of tracking metrics to collect, and one ethical testing tactic that prevents gaming algorithms. Ideal for authors prepping a first book, a relaunch, or a catalog refresh — run the lab once and use the framework forever.

    Become a supporter of this podcast: https://www.spreaker.com/podcast/the-22-lions-podcast-ai-self-publishing-book-empire-secrets--7016918/support.
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    4 mins
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