§ AI Discovery Score
Overcoming Health Anxiety
by David Veale & Rob Willson · health anxiety memoir self-help
VERDICTYour book is already established within structured UK health systems and clinical channels, but lacks presence in contemporary listicles and peer-recommendation networks that LLM retrieval relies on.
Last checked 26 April 2026 · refreshed 1× since 26 April 2026 · methodology
The full report
Your score: 33 / 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 already established within structured UK health systems and clinical channels, but lacks presence in contemporary listicles and peer-recommendation networks that LLM retrieval relies on.
The recommendation test
Query run: "best books for health anxiety" ✗ No — your book is not in the top results. Top books returned in that search:
- Overcoming Health Anxiety: Letting Go of Your Fear of Illness · Katherine Owens & Martin Antony
- Freedom from Health Anxiety · Karen Lynn Cassiday
- The Complete Guide to Overcoming Health Anxiety: How to Live Life to the Fullest...Because You're Not Dead (Yet) · Unknown 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.
What the AI currently knows about your book
Your book is recommended by the Reading Well scheme for England and Wales , appearing across UK library catalogs and health service collections. The book surfaces immediately on Amazon, Google Books, and Internet Archive with full metadata. Your co-authors are a consultant psychiatrist in CBT at South London and Maudsley NHS Foundation Trust and a past President of the British Association of Behavioural and Cognitive Psychotherapies . However, the book does not appear in recent (2024–2026) third-party health anxiety listicles, despite competitors occupying those slots—and LLM retrieval is weighted toward listicle inclusion, not institutional directories.
Who's being recommended for your genre instead
- The Essential Guide to Health Anxiety · Dennis Simsek · frequently cited in contemporary therapy blogs and reviews
The three fastest fixes
1. Pitch your book to Goodreads' health anxiety and mental health list curators
- Where: Goodreads list submissions (community-curated lists like "Best Books for Health Anxiety" or "CBT Self-Help")
- Setup effort: 1 hour (write curator emails, check current list gaps)
- Time to impact: typically 2–4 weeks per list acceptance; cumulative visibility takes 2–3 months
- Why it's first: Goodreads lists feed genre discovery across LLMs. Perplexity and Gemini cite highly-rated list inclusions. Your book's clinical credentials should make it defensible for mental-health-specific lists.
2. Secure a mention in a CBT or health anxiety podcast episode
- Where: Therapy-focused podcasts (e.g., "The Anxiety Guy," "CBT Podcast," or clinician-hosted shows)
- Setup effort: 2–3 hours (identify 10–15 podcasts, craft one-paragraph pitch emphasizing co-author credentials)
- Time to impact: often 6–8 weeks from pitch to episode air; retrieval impact within 4–6 weeks of publication
- Why it's second: Podcast transcripts are indexed and cited by LLMs. A single episode mention can shift "books for health anxiety" responses in Perplexity and Claude if the host links the episode in show notes or description.
3. Refresh Reading Well status and seek ABCT Self-Help Seal nomination (if not already held)
- Where: Reading Well maintains updated lists annually; ABCT (Association for Behavioral and Cognitive Therapies) Seal application portal
- Setup effort: 2–3 hours (confirm current Reading Well standing, prepare ABCT application if needed, or request refreshed listing)
- Time to impact: Reading Well refreshes annually (no published SLA); ABCT review typically 8–12 weeks
- Why it's third: Your book is already on Reading Well, which is gold for NHS/UK library distribution. An ABCT Self-Help Seal of Merit signals clinical rigor and is cited in bestseller copy across Goodreads and Amazon—and LLMs notice that halo . Ensure your 2nd edition or current edition is visibly marked.
The bigger pattern
LLM models train on static snapshots of text; they cannot retrieve live web data. However, when a user asks ChatGPT or Perplexity "what are the best books for health anxiety," those systems fetch ranked listicles and Goodreads page summaries at query time—they retrieve, not reason from training alone. Your book's institutional anchoring (Reading Well, NHS clinical credibility, ABCT alignment) is durable and elite, but it's invisible to retrieval if it doesn't appear in the contemporary listicles and peer-recommendation networks that LLMs pull first. The fastest payoff comes from surfaces that are (a) indexed by search engines, (b) frequently updated, and (c) social-proof visible (Goodreads shelf counts, podcast mention counts). Your credentials and clinical standing are already the hardest part; now you need the retrieval footprint to match.
How this score breaks down
Retrievability — 10 / 10
Amazon page surfaces, title is searchable
Structured-data depth — 0 / 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 — 20 / 20
Genre-specific endorsements (NHS Reading Well, prize longlist, NYT bestseller, etc.)
Author graph — 3 / 15
Author Wikipedia, bylines, podcast trail
Cross-source citation — 0 / 10
Reddit, Substack, niche forum discussion
END OF OUTPUT.
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