KDP Medium-Content Validation

What It Is

A specific numeric framework for validating a book topic on Amazon before writing it, aimed at medium-content (5,000-10,000 words) and high-content (up to 30,000 words) books rather than the heavily saturated low-content category (coloring and activity books): search a specific topic on Amazon, then count "winning books" (250 reviews or fewer with a bestseller rank under 30,000, proving low-review books can still sell well), "dead books" (30-plus reviews but a bestseller rank over 150,000, proving the topic isn't selling), and "authority figures" (500-plus reviews, proving how hard the topic would be to compete in), looking for a topic with several winning books, few dead books, and few authority figures.

The Pitch

The presenter frames the strategy as a deliberate "blue ocean" move: low-content books are extremely saturated because AI has made them trivially easy to mass-produce, while medium and high-content books (cookbooks, workbooks, story collections, beginner guides on a narrow topic) still have real demand with meaningfully less competition, and can be built efficiently using a specific AI research process, feeding a competitor's actual table of contents and customer reviews into an AI model to generate an outline that fills gaps the competition missed, rather than starting from a blank page.

Who It’s Best For

Someone willing to do genuine upfront research (the presenter recommends spending a full week or more just collecting candidate topics before validating any of them) rather than picking a topic based on personal interest or a quick guess.

The Truth (as we see it)

The specific numeric thresholds (250 reviews/30,000 rank for a winning book, 150,000 rank for a dead book, 500 reviews for an authority figure) are concrete, checkable criteria that go well beyond vague "look for demand" advice, a genuine strength of this particular framework. The video funnels toward the presenter's own paid one-on-one mentorship program throughout, a financial incentive worth knowing, though the validation system and research process themselves don't require that specific program to apply.

Our assessment, based on the video and what’s typical across similar videos. We don’t independently verify income claims or prices.