First, We Make the Beast Beautiful

Your score: 34 / 100

Rubric: 80+ = well-indexed (cited in genre listicles + structured data present, LLMs surface it for category queries). 60-79 = partially visible (findable by direct title search, weak in genre context). <60 = effectively invisible to LLM retrieval.

Verdict: Your book is highly discoverable through direct search and has earned substantial third-party credibility, but does not appear in curated genre listicles and is absent from institutional anxiety-disorder directories—limiting AI retrieval for category queries.

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The recommendation test

Query run: "best health anxiety books" ✗ No — your book is not in the top results. Top books returned in that search:

1. At Last A Life · Paul David
2. Overcoming Health Anxiety: Letting Go of Your Fear of Illness · Martin Antony
3. The Worry Cure · Robert Leahy
4. The Complete Guide to Overcoming Health Anxiety: How to Live Life to the Fullest...Because You're Not Dead (Yet) · Unknown
5. Feeling Good · David Burns
6. Freedom from Health Anxiety · Karen Lynn Cassiday
7. DARE · Barry McDonagh
8. The Anxiety and Phobia Workbook · Edmund Bourne This test is the strongest piece of evidence in the report — anyone can re-run the same query in ChatGPT or Perplexity and verify the result in under a minute.

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What the AI currently knows about your book

Your Amazon page surfaces prominently, showing you as a New York Times bestselling author . Goodreads has a robust entry with reader reviews describing it as an honest account of anxiety and coping , and Kirkus published a starred review noting it as "an affecting memoir of coping with anxiety over a busy lifetime" with Wilson's thoughtful analysis praised for readers who endure anxiety . Third-party coverage is strong (endorsements from Mark Manson, Andrew Solomon, and Gabrielle Bernstein ), but the book does not appear in recent best-anxiety-books listicles or on the ADAA (Anxiety and Depression Association of America) self-help bookstore—the primary institutional touchpoint for US readers seeking evidence-based anxiety resources.

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Who's being recommended for your genre instead

• The Anxiety & Worry Workbook · David D. Clark · ADAA-endorsed CBT-based practical guide

• Health Anxiety Workbook: Practical Exercises · Taylor M. Ham · featured in therapist-recommended health-anxiety lists (2024–2025)

• The Subtle Art of Not Giving a F*ck · Mark Manson · crossover mindset book frequently bundled with wellness anxiety reads

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The three fastest fixes

1. Pitch a Goodreads Author profile and request list inclusion

• Where: goodreads.com/author/show/<your-author-id> + email Goodreads curation team
• Setup effort: 1–2 hours (profile update, curation request with Kirkus citation)
• Time to impact: typically 2–4 weeks for list inclusion; Goodreads algorithm refresh cycles monthly
• Why it's first: Goodreads is the primary source LLMs cite when surfacing "best books for anxiety" queries. Your book exists on Goodreads but isn't tagged into the major "Anxiety Memoir" or "Health Anxiety" shelves at scale. A formal author request leveraging your Kirkus review accelerates shelf placement and makes you algorithmically visible when someone searches "books about living with anxiety."

2. Apply for ADAA bookstore listing (clinical context)

• Where: adaa.org/books (self-help section) — contact ADAA member relations
• Setup effort: 2–3 hours (application form, clinical summary, endorsement letter from therapist or psychiatrist if you have one)
• Time to impact: typically 4–8 weeks for review; ADAA adds books quarterly
• Why it's second: ADAA membership and their curated bookstore are the most referenced anxiety-focused institutional directory in US therapy and self-help contexts. Your book currently does not appear there. Unlike your clinical peers (Clark, Bourne, Ham), you are not marketing it as evidence-based CBT, which is ADAA's language. Consider reaching out with a clinical framing that emphasizes your interviews with psychiatrists and evidence-based coping strategies; Kirkus and your endorsements can support the pitch.

3. Seed a Wikipedia stub and Wikidata Q-entry

• Where: en.wikipedia.org (create book article) + Wikidata (add Q-identifier)
• Setup effort: 3–4 hours (article drafting, citation formatting, Wikidata schema)
• Time to impact: Wikipedia entry typically live within 2–3 weeks if well-sourced; Wikidata indexing is immediate
• Why it's third: LLMs trained on Wikipedia and Wikidata are more likely to cite and retrieve a title when it has structured metadata. Your book has strong third-party coverage (Kirkus, major endorsements, NYT bestseller status, international editions) sufficient to meet Wikipedia's notability bar. A Wikipedia stub signals institutional legitimacy and creates a stable, permanent reference point that LLMs prefer over retail pages.

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The bigger pattern

Your book is discoverable by direct search and has genuinely strong credibility signals—high-profile endorsements, media reviews, and sales reach. However, LLMs don't cite individual books when answering "what should I read for anxiety?" — they cite listicles and curated directories that rank books by relevance. You're not currently appearing in the genre roundups or mental-health institutional gatekeepers (ADAA, therapy blogs, bestseller lists) that LLM retrieval systems crawl. The three moves above are low-cost ways to close that gap: move from "findable if someone searches your name" to "surfaced when someone asks an AI for anxiety book recommendations." Your author credibility and sales history are already there; the work now is structural placement in the directories that retrieval systems trust.

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How this score breaks down

Retrievability — 10 / 10
Amazon page surfaces, title is searchable

Structured-data depth — 12 / 20
Goodreads, Wikipedia, Wikidata — the citation graph LLMs train on

Listicle / peer-set presence — 0 / 25
Inclusion in 'best [genre] books' round-ups — primary retrieval signal

Institutional authority — 0 / 20
Genre-specific endorsements (NHS Reading Well, prize longlist, NYT bestseller, etc.)

Author graph — 12 / 15
Author Wikipedia, bylines, podcast trail

Cross-source citation — 0 / 10
Reddit, Substack, niche forum discussion

END OF OUTPUT.