Publishers assume they know who they compete with. Amazon may have categorised their book alongside titles they would never consider rivals — and is measuring their conversion signals against those books, not the ones they had in mind. This tool shows you which books Amazon actually places alongside yours in search, based on real keyword co-occurrence data.
| 9-minute read | Intermediate · Pro tier |
There is the competition you think you have and the competition Amazon has assigned you. They are often different, and the difference matters more than most publishers realise.
Amazon’s A10 algorithm evaluates your book’s performance signals — click-through rate, conversion rate, read-through — relative to the other books appearing in the same search results. If Amazon places your book alongside a set of competitors you were not aware of, your listing is being measured against their listings. A description that outperforms the books you were benchmarking against may underperform the books Amazon is actually using as its comparison set.
Competitor Discovery shows you Amazon’s actual competitive categorisation. Not based on genre labels or your own sense of positioning — based on the live keyword co-occurrence data that reflects how Amazon’s algorithm groups books in its search results.
How the Tool Identifies Your Real Competitors
The tool analyses keyword co-occurrence data from DataForSEO — the pattern of which books appear together in Amazon’s search results across the full range of searches relevant to your book. Books that consistently appear alongside yours across many different search terms are the ones Amazon considers your direct competitors. Books that appear alongside yours only occasionally are peripheral competitors. Books that never appear alongside yours are not in your competitive set regardless of how similar you consider them.
The output is a ranked list of up to twenty competitors ordered by the number of shared keywords — the books that most consistently appear in the same search results as yours. For each competitor the tool shows six data points: shared keyword count, your average position on shared keywords, their average position, BSR, star rating, and time since publication.
This combination tells you several things at once. A competitor with a high shared keyword count and a lower BSR than yours is outperforming you on searches where you both appear — a book worth studying closely. A competitor with a high shared keyword count and a higher BSR is being outperformed by yours — a book you are already beating, where understanding why helps you replicate that success on other terms.
The Two Competitor Types Worth Acting On
The most useful frame for interpreting competitor data is a simple two-by-two of shared keywords against BSR performance.
High shared keywords, better BSR than yours. This is the competitor that matters most. Amazon considers them your rival, they appear in the same searches, and they are outranking your book on those searches. This is the book to study — its listing copy, its keywords, its review profile, its pricing. The Keyword Gap Finder against this specific ASIN will show you exactly which searches it ranks for that you do not.
High shared keywords, worse BSR than yours. Amazon considers this book your rival but you are outperforming it. Understanding why gives you useful information about what your listing is doing right — and which specific signals are generating that advantage. Protecting those signals when you make listing changes is important.
The one-click Book Keyword Spy button on each competitor card lets you pull their full keyword profile immediately without leaving the tool. The Keyword Gap Finder button launches a direct comparison between your ASIN and theirs. Both actions use the competitor data Competitor Discovery has already identified, which means every subsequent research step builds on the correct competitive foundation.
When Amazon’s Categorisation Surprises You
The Competitor Discovery output regularly surprises publishers, and that surprise is where the tool is most valuable. Common patterns include:
Non-fiction books appearing alongside books in different sub-genres because both address a shared reader psychology or life situation, not a shared topic. A book on anxiety management may be competing with books on sleep, productivity, and relationships — because the underlying reader situation is the same even if the topic labels differ.
Books appearing alongside traditionally published titles in a category the author assumed was primarily indie. This matters because traditionally published books have marketing infrastructure, distribution advantages, and review acquisition capabilities that indie publishers cannot match on equal terms. Knowing this is your competitive context lets you position differently — targeting adjacent niches where the traditionally published presence is lower — rather than competing head-on in unfavourable territory.
Books appearing alongside titles at significantly different price points. If Amazon consistently places your $4.99 ebook alongside $12.99 books, readers browsing those results are making a price comparison that affects both books’ conversion rates. Understanding this pricing context shapes smarter pricing decisions.
Understanding your competitors tells you the quality bar you need to clear
Competitor Discovery shows you which books Amazon measures yours against. Those books set the quality expectation in the reader’s mind. A book that appears alongside polished, well-reviewed titles in a competitive niche will be judged against that standard. Vappingo’s professional manuscript proofreading service ensures your book meets the standard your competitive set has established.
Using Competitor Discovery Before Writing Your Next Book
Most publishers use Competitor Discovery reactively — to understand the competitive context of a book that is already live. The tool is equally valuable used proactively, before writing a new book in a similar space to one you already have.
Running Competitor Discovery on your best-performing existing book shows you the competitive set that Amazon has confirmed is relevant. Running Niche Navigator and the Competition Analyzer on the same terms then shows you whether there is navigable opportunity in that space for a second title, or whether the competitive set is so strong that a better opportunity lies in an adjacent niche. The intelligence the tool provides pre-publication is at least as valuable as its post-publication use — perhaps more so, because you can act on it before committing to months of writing.
The Competitor Discovery tool is available on the Pro tier. For the broader context of how A10 uses competitive co-occurrence data in its ranking decisions, the article on the Amazon A10 algorithm covers the relevant mechanics. For a comparison of competitive research approaches, the article on Publisher Rocket alternatives provides useful context on what different tools can and cannot tell you about competitive positioning. According to Jane Friedman’s publishing analysis, understanding your actual competitive environment — not your assumed one — is among the most consistently underinvested research activities in self-publishing. Written Word Media’s market research confirms that conversion rate differences between similar books are often explained by competitive context rather than intrinsic quality differences.
The tool caches results for a session so you can return to previously looked-up competitor cards without spending additional credits. This makes comparative analysis of multiple competitors practical in a single session — you can move between four or five competitor cards, open Book Keyword Spy on each, and compare the patterns across all of them before deciding which competitor to run a full Keyword Gap analysis against. The cache expires at the end of your session, so a subsequent session will refresh the data from live Amazon sources, ensuring you are always working from current rankings rather than potentially stale stored results. Sign up at rankfuel.vappingo.com. For the full suite picture, see the KDP Rank Fuel platform review and the article on the best KDP keyword tools in 2026.
Running Competitor Discovery Across Your Catalogue
Publishers with multiple live books benefit from running Competitor Discovery on each title separately. The competitive set Amazon assigns to each book is determined by that book’s specific keyword profile — a non-fiction book on personal finance and a non-fiction book on entrepreneurship from the same author may have almost entirely different competitive sets despite both being business books. Managing each title’s competitive context as a separate research question produces more actionable intelligence than assuming the same competitors apply across a catalogue.
For publishers planning a new title in a space where they already have a performing book, Competitor Discovery on the existing book is the starting point for new book research. The competitive set it reveals — the books Amazon places alongside yours — tells you who the real incumbents are in that space, which of them have weaknesses worth exploiting, and which adjacent sub-niches might offer better opportunities than entering directly into the positions your existing book already holds.
A note on the cache system: books you have looked up in the Competitor Discovery tool in previous sessions are stored and load instantly when you return to them, rather than requiring a fresh data pull. This means building up a library of competitor profiles over time is efficient — you can run initial research in one session, return to specific competitor cards in later sessions without additional credit cost, and track whether the competitive landscape around your book is changing. New competitors that have entered the market since your last session will appear automatically when you refresh the search; cached competitors who are no longer relevant can be dismissed. The tool also has a practical use case for pricing decisions. Seeing the average price of the books Amazon considers your direct competitors — books that appear alongside yours in the same search results — gives you a market-grounded reference point for your own pricing that is more precise than looking at a broad category average. If your book is priced significantly above or below the books Amazon places it alongside, that pricing gap affects conversion rate in ways that listing optimisation alone cannot fully compensate for.
