Every successful book in your genre is a public record of what works: its title, its subtitle, its categories, its blurb language and the phrases it ranks for. Read together, twenty of them are a keyword strategy. Read one at a time, they are just covers you like.
What you receive
- A comparables set of 15–25 titles chosen for similarity of reader, not similarity of cover.
- Title and subtitle patterns — the recurring structures that signal genre to a browsing reader.
- Keyword extraction with a reachability score: which phrases a new title can compete for and which belong to the established leaders.
- Category overlap map showing where your comparables cluster, and where there is a gap.
- A short action list — what to change in your metadata, in priority order.
How the analysis is built
- Select comparables by reader profile: similar promise, similar length, published in the last three years so the data is current.
- Harvest language from titles, subtitles, blurb openers and review vocabulary.
- Test each phrase against live results and note the sales rank of the top ten — that is the cost of entry.
- Translate into your listing, respecting KDP’s rules: no competitor names, no trademarked terms, no claims the book cannot support.
What the leaders do that you can copy legally
Structure, not content. Series naming conventions that tell a reader this is book two of a set. Subtitles that name the trope, the setting and the promise in one line. Blurb openers that start mid-tension. A category trio repeated across a whole catalogue because it works. None of that is copying; it is reading the market’s grammar and then writing your own sentence in it.
When the niche is saturated
Sometimes the analysis says the shelf is full. That is genuinely useful: it redirects effort to a neighbouring niche — a different setting, a different heat level, a different reader promise — where the same book can compete. We say so plainly rather than selling keywords that will not move a listing, and we show the adjacent terms where your title has a real chance.
Reading reviews as keyword data
Reviews use the reader’s own words, which is exactly what search matches. Phrases like “cosy small town Christmas”, “slow burn second chance” or “no spice, clean romance” appear in reviews long before they appear in anyone’s metadata, and they are typed into the search box in the same form. We harvest that vocabulary from your comparables, weigh it by how often it recurs, and check whether the books using it in their titles are the ones ranking. It is the cheapest keyword research available and almost nobody reads it systematically.
Pricing
| Tier | Scope | Price | Was | You save |
|---|---|---|---|---|
| Starter | 1 report | $30 | $30 | |
| Professional | 3 reports | $80 | $80 | |
| Bulk / Authority | 5 reports | $120 | $130 |
Frequent questions
Which marketplaces do you cover?
Amazon first, as that is where most sales are. Apple, Kobo and Google are added when you publish there.
Is this useful before the book is written?
Yes — it is most useful then, because title, subtitle and category can be decided before the cover is designed.
How is the report delivered?
A written document with the comparable list, the scored phrase table and a prioritised action list.
Request an analysis — send two or three titles you consider your closest competition.