A behind-the-scenes look at what bestselling indie author Lynn Messina does right — and what every indie author can learn about book series, pre-orders, and building a sustainable publishing career.
How to Choose Amazon and Ingram Keywords (When It’s Not as Simple as It Sounds)
Most guides on Amazon metadata make keyword selection sound like a quick checklist item — just “fill in seven boxes.” But authors who’ve actually done this know how much strategy, trial-and-error, and invisible scaffolding goes into making keywords that work.
This article pulls back the curtain on our exact process. Whether you’re a first-time indie author or a seasoned publisher refining a series, this is how we build keyword systems that support organic discovery, advertising performance, and long-term visibility.
Why Keywords Matter
Keywords are the final — and arguably most important — part of your metadata. If they aren’t cleanly aligned with your book’s content, tone, and reader expectations, Amazon’s algorithm won’t know what to do with your book. Organic search won’t help you. Amazon Ads won’t perform. People won’t find your book — for love or money.
Good keywords don’t game the system. They clarify what your book is and who it’s for.
The Tools We Use
- Publisher Rocket — to explore keyword volume, competition levels, and the categories each keyword phrase triggers
- Amazon’s search bar — to observe reader behavior via autocomplete and competing titles
- The KDP backend — to monitor how keyword fields and categories interact
- ChatGPT — to generate, structure, and clean up phrase options
- KLytics by Alex Newton — monthly market reports showing which genres and subgenres are selling
- Internal tracking sheets — to compare series-level metadata, avoid repetition, and ensure cohesion
The Three-Tier Keyword Structure
Adapted from the excellent framework developed by Dave Chesson at Kindlepreneur.com.
Tier 1: High-Relevance Search Terms
The core search phrases your ideal reader might actually type into Amazon. Examples: haunted house gothic thriller, grief memoir mother loss, historical romance set in Tuscany.
Tier 2: Category Reinforcement
Phrases that echo your selected categories and strengthen alignment in the algorithm’s shelving logic. Examples: psychological suspense novel, space exploration hard sci-fi.
Tier 3: Niche & Theme Support
Long-tail phrases that reinforce your book’s tone, character roles, setting, or genre flavor. Examples: reluctant hero fantasy, single mom detective mystery, coming-of-age LGBTQ novella.
Each keyword phrase must be under 50 characters, Boolean-friendly, and in natural word order. No stuffing. No gimmicks. No quotation marks.
Keyword Formatting Notes
- Avoid quotation marks. Amazon treats the entire phrase inside quotes as a single search unit, drastically reducing visibility.
- Avoid stop words unless necessary. Words like and, the, of eat up character space without improving discoverability.
- Use natural word order. “Ancient Rome historical thriller” is far more effective than “thriller historical ancient Rome.”
Using AI to Structure Better Metadata
We treat AI like a smart assistant, not a decision-maker. It helps us explore variations we might not have considered — but it doesn’t replace critical thinking or deep genre knowledge. The real gain isn’t in saved time; it’s in sharpened logic and cleaner outcomes.
Here’s a real prompt example we use:
“You are my KDP Keyword expert. We are going to develop 7 keyword phrases for the Amazon KDP Product Page. Choose 1–3 highly relevant search phrases, 1–2 category reinforcement phrases, and 2–3 niche or thematic support phrases. Max 50 characters per phrase. Avoid title repetition, subjective claims, or stop words. Use natural word order. Think like a reader.”
Why Metadata Comes Before Ads
Amazon’s ad engine uses a hidden relevance score to determine whether your ad will be shown, to whom, and how much you’ll pay per click. When your metadata is clean and coherent, your ads are more likely to serve — and at a lower cost per click.
This is why we don’t take on marketing clients unless we’ve also handled their metadata. Ads without metadata alignment are a waste of time and money.
Metadata Isn’t Written in Marble
Your keywords, description, and even categories can be changed. Books evolve — and so does your understanding of the market. Metadata isn’t a set-it-and-forget-it task; it’s a dynamic, living system that you can continue to improve over time.
Think of it less like labeling a product, and more like tuning an instrument.
