self-help · era: evergreen
[Sample Book]
[Sample Author] · published 2016
Score
92
Discoverable
At a glance
92
/ 100 · DiscoverableConfidence: Measured (multi-rep run)
Your book is in the active recommendation graph for at least some reader queries. The detail below shows which engines + which prompts are working, and where the gaps are.
What AI currently says
- Claude (Anthropic):mentions title in 9 of 10 prompts (knows the book when named)
- Gemini (Google):mentions title in 10 of 10 prompts (knows the book when named)
- ChatGPT (OpenAI):mentions title in 9 of 10 prompts (knows the book when named)
- Perplexity (Sonar):mentions title in 10 of 10 prompts (knows the book when named)
Three example prompts
Real prompts from this audit. One the engines got right, one they missed, one where they recommended someone else.
- Surfaced
“What are the foundational self-help books every serious reader knows?”
Claude (Anthropic) mentioned "[Sample Book]" in 3 of 3 runs
- Cited competitor
“What are the foundational self-help books of the last twenty years?”
Claude (Anthropic) cited vocal.media (and 6 other sources) — not your book
Top missed opportunities
- 1.Engines recommend "The 7 Habits of Highly Effective People" by Stephen R. Covey (1989) (52×) instead of yours — your book isn't on the same lists.
Do this first
- 1.Replace your Amazon listing with the AI-optimised rewrite below — 30–45 min, live in 24–48h.
- 2.Host the Author Knowledge File on your own domain with the schema.org markup — 1 hour, immediate retrieval impact.
- 3.Update your Goodreads bio with the rewrite below — 5 min, lives on Goodreads immediately.
Full data, evidence, action roadmap, and copy-paste artefacts in the sections below. Skim what you need; download report.json for the raw data.
AI crawlers on your site
All 10 AI crawlers can reach your site
Engines that can’t crawl your canonical pages can’t cite them. Fix any blocked crawlers below in your robots.txt before doing any other structural-signal work — there’s no point optimising for engines that can’t reach the optimisation.
| Crawler | Engine | Status |
|---|---|---|
| OAI-SearchBot | ChatGPT search | allowed |
| GPTBot | OpenAI training | allowed |
| PerplexityBot | Perplexity search | allowed |
| Perplexity-User | Perplexity user retrieval | allowed |
| ClaudeBot | Claude web_search | allowed |
| Claude-SearchBot | Claude search-tool | allowed |
| anthropic-ai | Claude (general) | allowed |
| Google-Extended | Gemini training/grounding | allowed |
| Applebot-Extended | Apple Intelligence | allowed |
| Meta-ExternalAgent | Meta AI | allowed |
Your action roadmap
Concrete steps sorted by speed-to-impact. Do #1 today; #2–4 this week if you can; #5 is the long lever. Each step lists where to submit, how long it takes, and which score axis it moves.
- 1Quick win
Replace your Amazon listing with the rewrite below
How: Open KDP → your book → Description & keywords. Paste the new description, swap the 7 backend keywords, copy the 5 bullets. If you have A+ Content access (Brand Registry / Vendor Central), build the 3 A+ blocks too. Update the short author bio.Effort30–45 minTime to impact24–48 hours after KDP saves itAxisAll axes (Amazon)Expected outcome: Lifts Amazon Rufus answer-coverage. Doesn't change LLM scores directly but improves on-Amazon conversion when readers DO arrive.
- 2Foundation
Host the Author Knowledge File on your own site
How: Create a permanent page at e.g. yourdomain.com/books/<slug>/. Paste the AKF Markdown. Add the schema.org/Book JSON-LD into the page <head>. The URL must be linked from your homepage so search-engine crawlers find it.Effort1 hour (publishing) + half-hour if you need a domain/page-builderTime to impactImmediate for live-web retrieval (cited within weeks). Training-corpus inclusion is a separate, slower path (6–18 months, not guaranteed).AxisKnown-title recallExpected outcome: Direct lift on **known-title recall** (axis: 25 / 25 today). Long-term lift on authority as the page accumulates citations.
- 3Foundation
Submit the Wikidata book entity
How: Create a Wikidata account at wikidata.org/wiki/Special:CreateAccount. Open the QuickStatements tool at quickstatements.toolforge.org. Paste the BOOK draft from the structural pack below. Submit. If the draft says AMEND-EXISTING, you're adding statements to an existing entity — that's safer and faster. The author entity is a separate submission (next step).Effort20 min once your Wikidata account is set up (first-time setup ~10 min)Time to impact2–6 weeks for engines to re-index Wikidata into their training/retrieval poolsAxisMarket authorityExpected outcome: Moderate lift on **market authority** (axis: 23 / 25 today). LLMs synthesise book recommendations from the same Wikidata graph that Wikipedia draws on — getting on the graph is foundational.
- 4Foundation
Submit the Wikidata author entity
How: Same QuickStatements flow as the book. Paste the AUTHOR draft from the pack. Once submitted, copy the new author Q-ID into the BOOK draft's <AUTHOR_QID> placeholder (if you haven't already) before submitting the book.Effort10 minTime to impactSame as book — 2–6 weeksAxisMarket authorityExpected outcome: Closes the author-side of the structural graph. Engines that recognise the author as an entity surface their work more readily.
- 5Quick win
Update your Goodreads About-the-Author bio
How: Log into Goodreads → click your profile (top right) → Edit Profile → Bio. Paste the bio from the pack below. Save.Effort5 minTime to impactLive immediately; engines re-crawl Goodreads on a ~2-week cycleAxisKnown-title recallExpected outcome: Goodreads is one of the top-3 most-cited sources for LLM book recommendations. A grounded bio with verifiable claims feeds directly into LLM answer-coverage.
- 6Outreach
Get into the outlets that cited "The 7 Habits of Highly Effective People" but missed your book
How: The audit already identified the specific outlets — listed below. For each one: open the page, find the editor / author / contributor name (usually footer or About), then send a short pitch by email or contact form. Pitch template: who your book is for, one sentence on what makes it different from the named comp on their list, link to your Amazon page. Aim for 3 replies and 1 inclusion per 10 outlets contacted.Effort3–2 hours of outreach across the 1 outlets below, then ongoing follow-upTime to impact4–12 weeks for new listicles to index, then engines re-train against themAxisMarket authorityExpected outcome: The single biggest lift available for market authority once structural signals are in. Listicles are how LLMs synthesise 'best of X' answers — being on the same lists as the named competitor closes the visibility gap.
1 outlets to pitch — surfaced by this audit
Each URL is a real outlet an engine cited when answering a reader prompt — and your book wasn’t in their list. Open it, find their contact / contributor address, send a one-paragraph pitch positioning your book as a peer addition.
- Blog / podcastWorld Top 10 Books for Self-Improvement List | by Fathima Asna | Medium· surfaced via Claude (Anthropic)for “What are the foundational self-help books of the last twenty…”
Listing rewrite
Sonnet 4.6 · claude-sonnet-4-6
Listing rewrite
Sonnet 4.6 · claude-sonnet-4-6
DRAFT — verify all factual claims before publishing
The rewriter is anti-hallucination — it refuses to invent claims that aren’t in source material (6 refusals logged at the bottom of this section). But it DOES accept claims FROM your source material, and not all source material is verified. Before pasting into KDP / Vendor Central, double-check:
- Review counts & star ratings — Amazon updates these continuously; what was true at audit-time may differ when you ship
- Publication date & page count — sometimes wrong on Google Books for re-issues / edition updates
- Endorsement wording — make sure quoted endorsers actually said the exact words attributed to them
- Biographical anecdotes — anything personal (hospitalisation stories, years of suffering, exact dates) should match what you can defend publicly
- “Bestselling” / “featured in” claims — the rewriter refuses these without a citation; if you see one, ask why it was accepted and check the source
The provenance pills ([AMZ], [GB], [WP], [BIO], [CAT]) inline in the description + bios mark which sentences came from which source — you can audit each one against the original.
How to use this on Amazon
- 1.Open KDP → your book → "Edit book details" or "Edit eBook content".
- 2.Replace the **Description** with the long copy below. Keep paragraphs as-is — Rufus reads them as separate answer chunks.
- 3.Replace the **Subtitle** (if you have one) with whichever of the 3 variants matches your strongest positioning.
- 4.Open the Keywords tab and replace each of the 7 backend keyword slots with the suggestions below.
- 5.Update the **Author bio** on your KDP author page (Author Central → Bio → paste the Long version).
- 6.If you have Brand Registry / A+ Content access: build the 3 A+ modules below in the A+ Content Manager.
- 7.Save. Amazon takes 24–48 hours to re-index. Rufus picks up changes on its next crawl cycle (~3–7 days).
Heads up: Don't paste everything blindly — read each variant and pick the framing that's true to your book. The rewriter refusal log at the bottom shows what we declined to claim; that's a feature, not a gap.
Subtitle variants
- 1.Tiny Changes, Remarkable Results
- 2.The Practical Guide to Building Better Habits
- 3.Backed by Science, Proven by Millions
Backend keywords (7)
Bullets (5)
- Discover how small, consistent actions compound into life-changing results — ideal for anyone who has tried and failed to build lasting habits through willpower alone, and wants a system that actually sticks.
- Works through four concrete frameworks — including Habit Stacking, the Two Minute Rule, and the Goldilocks Zone — giving you step-by-step methods to redesign your daily routines from the ground up.
- Draws on cutting-edge psychology and neuroscience, illustrated with stories of Olympic gold medallists, leading CEOs, and scientists; AMZ praised by Dr Rangan Chatterjee as "very useful, very practical, super well-researched."
- Less suited to readers seeking abstract motivational theory or a quick inspirational read — this is a hands-on, framework-driven manual requiring active application to daily life.
- Leave this book with a replicable system for building good habits and eliminating bad ones, grounded in behavioural science and applicable to your career, relationships, and everyday decisions.
Description
Provenance pills mark sentences grounded in a specific source — untagged sentences are framing/synthesis
A+ Content blocks
comparison
How Atomic Habits Differs from Standard Self-Help Advice
use-case
When Atomic Habits Helps Most — and Who Gets the Most From It
credibility
About James Clear — The Research and Reach Behind the Book
Author bio
Short
Long
Rewriter refusals
Claims not supported by source material
- Did not state "Publication year: 2016" as the primary publication date for this edition — source material confirms the UK Random House Business edition was published 18 October 2018; 2016 appears only in the Open Library record for a different ISBN/publisher and was not used as a factual claim.
- Did not describe the book as "groundbreaking" in the listing copy (it appears in the scraped AMZ blurb but is on the prohibited fluff list).
- Did not fabricate or paraphrase the Financial Times "Books of the Month" designation beyond what the AMZ source confirms, as the scraped editorial content describes it as a quote from "Books of the Month, Financial Times" — used the FT attribution only as it appears in source.
- Did not claim a specific awards win; "New York Times and Sunday Times bestseller" is used only because the AMZ source explicitly states this designation.
- Did not use the newsletter subscriber figure of 400,000 as a current verified fact beyond what the AMZ scrape states, noting it reflects the listing at audit time.
- Did not name any competitor titles in the comparison module beyond what source material references (Mark Manson's and Adam Grant's books appear only as reviewer attributions, not as direct comps).
AI visibility kit
Knowledge card · Machine-readable book card · Author Knowledge File · Goodreads bio (Wikidata + schema.org + AKF + Goodreads underneath)
AI visibility kit
Knowledge card · Machine-readable book card · Author Knowledge File · Goodreads bio (Wikidata + schema.org + AKF + Goodreads underneath)
What this pack is. Four artefacts that make your book legible to LLMs as a structured entity rather than just text on a page. Wikidata is the shared knowledge graph LLMs and search engines synthesise from. schema.org/Book JSON-LD is structured metadata your website embeds for crawlers. The Author Knowledge File is a canonical synopsis the LLM-as-a-search-tool can quote directly. The Goodreads bio updates the most-cited author source in book recommendations.
Knowledge card draft (Wikidata book entity)
Mode: AMEND · A "knowledge card" is Wikidata's structured book entry; LLMs use it to disambiguate your title from same-named works.
AMEND EXISTING — Wikidata already has Q98178602 (“Atomic Habits”).
Statements below are add-only against the existing entity — do NOT run CREATE; that would duplicate the entity.
# AMEND-EXISTING Q98178602 — "Atomic Habits"
How to submit this
- 1.Open quickstatements.toolforge.org (sign in with a free Wikidata account — wikidata.org/wiki/Special:CreateAccount if you don't have one).
- 2.Click "New batch" then paste the statements above (the entire copied block).
- 3.The entity already exists (Q98178602). The block uses # AMEND-EXISTING headers — you're ADDING statements to a live entity, not creating a duplicate.
- 4.Click "Import V1 commands". Review the rows. Click Run.
- 5.Save the new Q-ID — you'll need it if you submit any related entities later.
Expected timeline: QuickStatements runs in seconds. Engines re-index Wikidata into their retrieval pools over 2–6 weeks. Long-term lift on market authority.
Machine-readable book card (schema.org/Book JSON-LD)
Tells search engines + LLMs the structured facts about your book. Paste into your landing page <head>.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Book",
"name": "Atomic Habits",
"author": {
"@type": "Person",
"name": "James Clear"
},
"inLanguage": "en",
"bookFormat": "https://schema.org/Paperback",
"genre": "self-help"
}
</script>How to install this
- 1.Find your book's landing page on your own website (NOT Amazon — your own domain). If you don't have one, that's step 1 — get a permanent URL for the book first.
- 2.Open the page's source (or your CMS's <head> / custom HTML field).
- 3.Paste the <script> block above immediately before </head>.
- 4.Save + publish. Validate at search.google.com/test/rich-results — paste the page URL, look for Book in the detected items.
- 5.Re-submit your sitemap in Google Search Console so the schema is picked up faster.
Expected timeline: Crawled within days. Lifts Google Knowledge Panel eligibility + LLM grounding (engines like Perplexity read schema.org as a primary signal).
Author Knowledge File
600–1000 word Markdown, canonical source-of-truth for LLM ingestion
How to host this
- 1.Create a permanent page on YOUR website at a clean URL — e.g. yourdomain.com/books/<book-slug>/ or yourdomain.com/<book-slug>/. Don't put it on a third-party site.
- 2.Paste the Markdown above as the body of the page. Most CMSes (Hugo, WordPress, Ghost, Substack, Notion-as-site) accept Markdown directly.
- 3.Add the schema.org/Book JSON-LD from the previous section into the same page's <head>.
- 4.Link to this page from your homepage's navigation AND from your existing book description. Inbound links matter — orphan pages don't get crawled.
- 5.Submit the URL to Google Search Console so it's indexed within days, not weeks.
Expected timeline: LLM web-retrieval engines (Perplexity, Claude/ChatGPT with web_search, Gemini grounding) find it within days. Training-corpus inclusion is a longer game — 6–18 months for the next model generation.
Goodreads About-the-Author
James Clear is a writer and expert on habits and decision-making. He built his reputation through jamesclear.com, where his articles attract 10 million visits each year, and through an email newsletter that grew from zero to 100,000 subscribers in under two years and has since surpassed 400,000 subscribers. His work has appeared in publications including the *New York Times*, *Forbes*, and *Business Insider*. *Atomic Habits*, published by Random House Business in 2018, became a *New York Times* and *Sunday Times* bestseller and has sold over 25 million copies worldwide. Drawing on research in psychology and neuroscience, Clear writes about the mechanics of behavior change — specifically how small, incremental adjustments compound over time into meaningful, lasting results.
How to update Goodreads
- 1.Log into goodreads.com.
- 2.Click your profile picture (top right) → "Edit Profile".
- 3.Open the Bio field and replace the current text with the bio above.
- 4.Click Save.
- 5.If you don't yet have a Goodreads Author profile (separate from your reader profile): apply at goodreads.com/author/program — approval takes 1–3 business days for self-published authors with an Amazon listing.
Expected timeline: Live on Goodreads immediately. LLMs that crawl Goodreads (ChatGPT, Claude, Perplexity all cite it heavily) refresh on a ~2-week cycle.