Chapter 35 — Further Reading

Grouped by the book's three evidence tiers (style bible §7). Tier 1 is canonical and worth reading in the original; Tier 2 is useful industry material to read critically; Tier 3 is this book's own constructed material. Nothing here is medical, financial, or legal advice — these are sources on how credible YMYL sites earn trust, not sources of the advice itself.

Tier 1 — Verified canonical (read these first, in the original)

• Google, Search Quality Rater Guidelines (current public PDF). The primary source for this entire chapter: the definition of YMYL, the highest Page Quality standards for high-stakes topics, the instruction to perform reputation research on both the site and its content creators, and the E-E-A-T framework. If you read one thing, read the YMYL and Page Quality sections. Free and public — Google publishes it precisely so you can see the target.
• Google Search Central, "Creating helpful, reliable, people-first content." Google's public creator guidance, including the "Who, How, and Why" self-assessment and the statement that E-E-A-T is not itself a single ranking factor while its systems use aligned signals. The honest frame for what you can and cannot claim.
• Google Search Central, documentation on broad core updates. Google's own explanation that a core update is a broad quality reassessment with "nothing to fix," and that recovery comes from improving overall quality over time — the Tier-1 backbone of the "Medic" story and the reason "YMYL recovery services" are snake oil.
• Google Search Central Blog, December 2022 update (E-A-T → E-E-A-T). The addition of Experience and the statement that Trust is the center of the framework — directly relevant to how experience can be published honestly on YMYL-adjacent topics.
• Google Search Central, guidance on structured data for articles and people (Article, Person, sameAs). Recognize-don't-write reference for how author and reviewer identity is expressed to machines; the craft itself is Chapter 18.

Tier 2 — Attributed, read critically (useful, but not gospel)

• Contemporaneous coverage of the August 2018 broad core update ("Medic") — e.g., Search Engine Roundtable (Barry Schwartz, who is commonly credited with the nickname) and Search Engine Land. Excellent documentation of the event; remember that the "it targeted YMYL/E-A-T" reading is community interpretation of winners and losers, not a Google statement.
• SEO tool-vendor and trade explainers on E-E-A-T and YMYL (Moz, Ahrefs, Semrush, Search Engine Journal). Useful summaries and checklists — but several present an "E-E-A-T score" or a mechanical "add these and rank" model that overstates the precision of Google's position. Read them for the practices, not for invented weights (and recall from Chapter 30 that any tool's "authority score" is a vendor's own metric, not Google's).
• Investigative reporting on AI-generated content published under fabricated author identities (2022–2024). The documented, real-world basis for Case Study 35.2's composite. Read it as a case file on how faked YMYL authority is exposed — by knowledgeable readers as much as by algorithms.
• Reputable industry writing on medical-review and editorial processes at established health/finance publishers. How real review workflows are actually run (writer drafts, credentialed professional reviews, dated and bylined) — the legitimate model §35.3 describes.

Tier 3 — This book's constructed material

• WellPath — the constructed YMYL health-and-finance publisher used as this chapter's worked example (and introduced lightly in Chapter 5, developed further in Chapter 34). All names, reviewers, and dates are illustrative.
• VitalLedger — the clearly-labeled composite in Case Study 35.2, assembled from documented industry patterns; not a real company, and no figures are asserted.
• Rivertown Home Services — the running Strategy-File project; this chapter adds its YMYL-touch content policy (safety content only). All Rivertown figures and people (the Delgado family) are a constructed teaching example.

Cross-references within this book

• Chapter 5 (E-E-A-T) — the framework this chapter deepens; Trust at the center, reputation research, costume-vs-substance.
• Chapter 6 (Google Updates) — the mechanics of core updates and where "Medic" is cataloged.
• Chapter 2 (The Ranking Algorithm) — the evidence tiers that keep the "Medic" story honest and refuse invented weights.
• Chapter 13 (AI Content) — why scaled, unedited AI is the archetypal YMYL harm, and why experience is the human moat.
• Chapter 12 (Content Updating and Pruning) — the maintenance discipline that keeps YMYL content current, applied where the stakes are highest.
• Chapter 25 (Local SEO) — the playbook for local businesses, including the fully-YMYL local professions (medical, legal, financial).
• Chapters 24 and 26 (Link tactics; Toxic links and manual actions) — the anti-manipulation and detection framing that faked authority runs into.
• Chapter 36 (AI Search, SGE, AI Overviews) — where AI answers YMYL questions directly; the next chapter.

Suggested order

1. Skim the YMYL and Page Quality sections of the Search Quality Rater Guidelines — the primary source, in Google's own words.
2. Read Google's core-update and helpful-content guidance to understand why there is "nothing to fix" and what recovery really means.
3. Revisit Chapter 5 to reload the E-E-A-T framework, then read this chapter's §35.6 (the ethics) slowly.
4. Read one piece of "Medic" coverage and one investigation into fabricated AI authorship back to back — the coasting failure and the faking failure, side by side.
5. Only then reach for the vendor checklists, and read them with the skepticism this chapter trained.