Start by Thinking Like the Reader, Not the Author
Amazon’s own guidance suggests choosing keywords by thinking like a reader and focusing on relevant topics or genres readers might search for. That makes this the best starting point. Instead of describing the book the way the author sees it, keyword research works better when it begins with what a buyer may actually type when looking for a solution, story type, topic, or subniche. Phrase-level thinking is usually more useful than isolated words. :contentReference[oaicite:1]{index=1}
Use Amazon Search Suggestions to Expand Real Search Phrases
One of the most practical places to look is Amazon autocomplete. Third-party guides consistently recommend starting there because it reveals how search phrases are commonly expanded in the marketplace. This helps authors move from a broad idea like a topic or genre into more specific keyword directions that reflect actual shopper language rather than guesswork alone. :contentReference[oaicite:2]{index=2}
Study Competing Books and the Language Around Them
Keyword discovery gets stronger when you compare the books already appearing for relevant searches. Look at repeated wording in titles, subtitles, positioning angles, audience descriptors, and subtopic patterns. External keyword guides also point authors toward checking whether books ranking for a phrase appear commercially viable, because a phrase is more useful when it aligns with a real buying path instead of just a vague search term. :contentReference[oaicite:3]{index=3}
Move from Broad Concepts to Specific Search Intent
General phrases are often too loose to guide strong metadata decisions. More specific phrases usually describe a clearer intent, audience, or subproblem. Reedsy’s guidance highlights matching search intent and using keyword length more deliberately, while Amazon’s metadata guidance recommends phrases rather than generic keyword stuffing. In practice, authors often get better results by narrowing a broad concept into a more defined reader search angle. :contentReference[oaicite:4]{index=4}
Research First, Then Filter Before You Use the Keywords
Finding KDP keywords is only the discovery stage. Amazon’s KDP workflow separates research from the actual keyword entry process inside the book’s keyword fields. A smart workflow is to gather many ideas first, then remove weak or repetitive phrases, and only after that decide which keyword candidates are most relevant to the book, market, and positioning strategy. :contentReference[oaicite:5]{index=5}