Marketing for Authors: Be Your Book's Marketing Hero

AI slop is statistically average: the median of everything the model has ever seen, which makes it generic by definition. Quality AI use does the opposite: it gets more specific, not less. In part two of this series, I share the test I use to tell the difference: could this have been made for anyone, or only for this one person, this one book, this one moment? And I talk through why The Playbook is built around exactly that question.

Read the article and watch the full series: https://morph.link/quality-ai

What is Marketing for Authors: Be Your Book's Marketing Hero?

Marketing shouldn't cost $20K in strategy just to get started, or feel overwhelming because of miscalculated, miscalibrated, and templated plans. Join Jeremy Ryan, founder of The Playbook and Metamorphosis Agency, for straight talk about marketing for authors and their book launches that actually work. Each week: tactical tips, real case studies from bestselling and award-winning authors, and strategies you can implement today. Whether you're 12 months from launch or promoting your backlist, this is your shortcut to marketing clarity. New episodes every week.

Okay, my first criterion for refining the
definition of quality in

AI content and marketing is specificity.

Here's why AI slop is so easy to spot.

It's statistically average. It's the
median of everything the model has ever
seen,

which means by definition, it's generic.

No one deeply connects to or feels seen by
generic.

Quality AI, or better yet, using AI to
help deliver quality,

does the opposite. It gets more specific,

not less. Here's a simple test.

Could this have been made for anyone or
only for this one person,

this one book, this one moment?

We believe our own AI product,

the Playbook, exemplifies this premise.

The playbook is not a template with your
name or book's title dropped in.

It's built to deliver strategies and a
marketing plan that is specific

to an individual author's book,

audience, and goals. Each playbook
couldn't work for anyone else.

That specificity is part of why we think
it has quality.

So if genericness is the giveaway of low
quality AI,

specificity is the giveaway of high
quality AI.

If you have thoughts or comments,

please let me know.