One per stage — production, cover, conversion, discovery and (coming 2027) editorial. Run any of them in 60 seconds. Refresh every 90 days. Use them whether or not you ever buy from us.
publishing.co.uk runs five free diagnostic tools for self-publishing authors: KDP Readiness Score (manuscript pre-flight), Cover Readiness Score (thumbnail legibility + KDP-spec check), Advertising Readiness Score (Amazon-listing conversion audit), AI Discovery Score (LLM-retrieval test against ChatGPT, Claude, Perplexity, Gemini and Amazon Rufus (simulated)) and the editorial Book Reviewer (coming 2027). Each runs in about 60 seconds, requires no payment or card, and can be refreshed every 90 days.
Drop your DOCX, PDF or EPUB. We run the same 30+ checks Amazon does — margins, gutter, image DPI, font embedding, ToC links, blank pages, ISBN match, bleed, page-count rules, spine width, EPUB validation. Out of 100, with a clear 🔴 Will reject · 🟡 Fix first · 🟢 Submit-ready verdict and the exact failure points called out line by line.
Files never stored, scanned and deleted after 24 hours. Pre-flight any book — your file, your competitor's, or one Amazon already rejected.
Score my manuscript →Drop your cover JPG or PNG. We render it at 90×135 pixels — the exact size Amazon shows on its mobile app browse — and score thumbnail legibility, resolution, aspect-ratio fit to KDP trims, greyscale contrast, edge safety and genre palette fit. Out of 100 with every failure flagged and an exact fix called out.
Image scanned in memory and deleted within 24 hours. Score 90+ and you can embed the KDP-Ready Verified badge on your author site.
Score my cover →We pull your live Amazon page and score it out of 100 — cover at mobile thumbnail size, title field, blurb opener, reviews, format gaps. With a clear 🔴 Not ready · 🟡 Test small · 🟢 Ready verdict and a money-math projection of what £500 of ads would actually earn.
Built by an Amazon Ads operator. Refreshable every 90 days, with an embeddable badge for your author site.
Run the scorecard →Live retrieval test against ChatGPT, Claude, Perplexity, Gemini and Amazon Rufus (simulated) — both with web search and from training data alone. Scores title-search visibility, author recognition, listicle inclusion, structured data (Wikipedia / Wikidata / Goodreads) and Reddit citation.
Multi-pass aggregation keeps the score stable run-to-run. Refreshable every 90 days with an embeddable badge.
Run the AI score →An AI-assisted editorial review of your manuscript — structure, prose quality, genre fit, pacing, hooks, comparable-titles analysis. The same first-read every traditionally-published manuscript gets from an in-house editor, available to indie authors for free.
Currently in development. Join the waitlist and you'll be one of the first 100 to use it, with priority access on launch.
Join the waitlist →All free. Each runs in under 90 seconds. Each maps to a stage of the publishing journey.
A production-quality question. Margins, gutter, DPI, fonts, bleed, ISBN, EPUB validity. The biggest preventable cause of a delayed launch — and the one almost nobody pre-flights properly.
A thumbnail-conversion question. Most covers look brilliant at design-tool size but collapse to mush at 90×135 px in the Amazon app. This audit catches the legibility, contrast, aspect and edge-safety failures before launch.
An ads-readiness question. Cover, title block, blurb, reviews, format gaps, category fit. Without the listing converting, no ad budget will ever pay back.
An organic-discovery question. ChatGPT, Perplexity, Gemini and Claude are increasingly the search front-end for readers asking for recommendations. If they can't find your book, you lose the discovery layer.
An editorial-quality question. Structure, prose, pacing, genre fit, hooks, comparable-titles analysis. The first-read every traditionally-published manuscript gets — coming as a free tool for indie authors in 2027.