Competitor keyword research is one of the highest-leverage research activities available to a KDP author. Your competitors — particularly those who are consistently outselling you in the same subgenre — have already done the hard work of testing which keywords perform. Studying what is working for them saves you months of trial and error. For the full keyword research strategy, see our complete guide to Amazon KDP keyword research.
Why Competitor Research Matters
The most consistently ranking books in any category are not there by accident. They have metadata — titles, subtitles, keyword fields, descriptions — that has been deliberately crafted to match the search terms their target readers use. Studying that metadata reveals the keyword strategy of the books you are competing against, giving you a clear picture of which search terms are worth targeting and which are already dominated by well-established titles.
Competitor research also reveals gaps — keyword phrases that are relevant to your subgenre but that your competitors are not targeting. These gaps represent ranking opportunities: searches where the competition is thinner and a new book can gain visibility more easily.
Finding the Right Competitors to Study
Not every book in your category is worth studying. Focus your research on:
- Sustained bestsellers: Books that have maintained top-20 positions in your specific subcategory for weeks or months, not one-time promotional spikes. Sustained ranking reflects genuinely effective metadata, not temporary promotional lift.
- Books similar to yours in type and tone: A direct competitor is a book that a reader who would buy yours might also buy. A bestseller in a completely different subgenre teaches you less about your specific keyword landscape.
- Books without massive pre-existing audiences: A book by a celebrity author with a million-follower platform ranked highly primarily because of that platform, not because of its keyword strategy. Less useful to study.
Build a study set of five to ten books. You can find them by browsing your specific subcategory’s bestseller list on Amazon and noting the titles that consistently appear across multiple visits.
Title and Subtitle Analysis
A competitor’s backend keywords are hidden — but their title and subtitle are public. Authors who understand keyword strategy put their most important keyword phrases into their titles and subtitles, where Amazon weights them most heavily.
For each book in your study set, note:
- Every specific noun, adjective, or phrase in the title — these are deliberate keyword choices
- The subtitle structure — is it genre-descriptive (“A Cosy Mystery”), audience-targeted (“For Fans of Richard Osman”), or setting-specific (“Set in the Yorkshire Dales”)?
- Repeated patterns across multiple titles — if seven of your ten competitor books include “English village” in their title or subtitle, that phrase has documented commercial relevance in your subgenre
Compile a list of all the keyword phrases you identify across your study set’s titles and subtitles. These are the genre’s primary keyword vocabulary — the terms that successful authors in your category have chosen to prioritise in their highest-weight metadata positions.
Description Language Analysis
Amazon indexes your book description for keyword relevance. This means the specific language your competitors use in their descriptions reflects — at least partially — their keyword strategy. Read the descriptions of your study set and note:
- Specific genre and subgenre terms used (“amateur sleuth,” “cosy mystery,” “village setting”)
- Character type descriptors (“retired teacher,” “reluctant detective,” “former police officer”)
- Mood and tone language (“heartwarming,” “witty,” “charming”)
- Setting descriptors (specific place names, regional identifiers, period terms)
- Trope language for romance (“enemies to lovers,” “second chance,” “forced proximity”)
Phrases that appear consistently across multiple competitor descriptions are the genre’s keyword vocabulary. Phrases that appear in only one or two descriptions may be under-exploited opportunities or genuinely low-value terms. For the methodology of using this research to inform your own description, see our article on using keywords naturally in your book description.
Search Result Cross-Referencing
You can infer which keyword phrases a book is ranking for by testing searches. Take a phrase you are considering and search for it on Amazon. If your target competitor appears in the top five results, they are likely ranking for that phrase (though it could also be because of their title or description rather than their backend keywords). If they do not appear, that phrase may not be in their keyword strategy — which could be an opportunity or a sign the phrase lacks volume.
Work through 15–20 keyword phrases this way. Note which searches your strongest competitors rank well in. The searches where they rank and you do not are your priority targets. The searches where neither of you ranks are either low-volume phrases or opportunities with less competition.
Using Tools to Go Deeper
Manual competitor analysis has limits — you can infer keyword strategies from public data, but you cannot see backend keywords directly. Dedicated tools fill this gap.
For authors at a more advanced stage of keyword optimisation — those who have already published and want to close the gap between themselves and their top competitors — the PRO-tier tools at KDP Rank Fuel go further:
Finding the Gaps
Competitor research is not just about copying what is already working — it is about finding the spaces where competition is thin. As you analyse your study set, look for:
- Phrases your competitors use but rank poorly for: A phrase appearing in five competitors’ titles but none of them ranking in the top five for it suggests the phrase may not be performing well — or that there is room for a book with better overall metadata to rank.
- Phrases that are relevant to your book but absent from competitor metadata: These are true keyword gaps — searches your potential readers are making that your competitors are not explicitly targeting. They represent ranking opportunities.
- Emerging language: Subgenres evolve, new tropes emerge, reader vocabulary shifts. A phrase that did not exist as a search term two years ago — but has appeared in your autocomplete research now — may represent an opportunity your competitors have not yet identified.
Applying What You Find
Your competitor research produces two outputs: a list of confirmed high-value phrases your competitors are successfully ranking for (primary targets for your own keyword strategy), and a list of gap phrases where competition is thinner (opportunity targets).
A balanced keyword strategy typically uses both: some confirmed high-value phrases to position your book in the main searches your target readers are using, and some gap phrases where you have a realistic chance of ranking highly from the start. For the full selection process, see our article on how to choose your 7 KDP backend keywords.
A KDP book research tool like KDP Rank Fuel’s Competition Analyzer and Book Keyword Spy removes much of the manual inference work above — giving you direct data on competitor rankings, keyword positions, and estimated daily sales, so your competitor research is based on evidence rather than educated guesswork.
The readers your keyword strategy brings in will judge your book on its content. Fiction manuscript proofreading from Vappingo ensures your book meets the standard readers expect — and earns the reviews that strengthen your competitive position over time.
