Index

References are by chapter and section number.

  • "#N — and where?" — 30.1, for whom
  • "(not provided)" — GA4 never shows the organic query (2011 secure search) — 28.2
  • "200 ranking factors" myth — 2.1
  • "A statistic needs a citation — be the statistic" (maxim) — 32.6
  • "Best of" / buying guide format — 10.6
  • "Can Google see it?" test procedure (Rivertown) — 19.Strategy File
  • "cite .gov to rank" myth — 35.5
  • "Count assets, not URLs" — 12.3
  • "Google needs a thriving web to crawl" (self-limiting) — 36.6
  • "LSI keywords" (myth) — 4.4
  • "Medic" core update (2018) — 6.2
  • "More pages = more traffic" myth — 33.5
  • "Near me" as auto-localization (the phrase is a red herring) — 25.1
  • "No action, on purpose" findings — 38.4, 38.7, Strategy File
  • "No issues detected" vs. a notice — 26.4
  • "No published safe ratio" (evidence honesty) — 24.7
  • "nofollow links are worthless" myth — 22.4
  • "Nothing to fix" (core-update guidance) — 6.3
  • "PageRank is dead" myth — 22.2
  • "Post daily" myth — 8.6
  • "Publish consistently and links will come" myth — 32.6
  • "Relearn everything" myth, debunked — 36.7
  • "Rewarding high-quality content, however produced" — 13.1
  • "Rule 0" — Strategy File, subtract first (don't build every cell) — 33.3
  • "SEO is dead" myth, debunked — 36.2
  • "SEO shows results in 30 days" as a myth — 29.6
  • "Validate Fix" button (queues a re-check; not instant) — 27.4
  • "Who, How, and Why" framework — 13.1, 13.7
  • "Would you want the link even without search engines" heuristic — 24.1
  • (not set) landing pages (tracking-quality signal) — 28.3
  • 200 / 301 / 302 / 304 / 404 / 410 / 500 / 503 — 14.5
  • 301 redirect (definition; passes ranking signals) — 21.3
  • 301 redirect (intro; full treatment Ch 21) — 12.7
  • 301 vs. 302 redirect — 14.5
  • 302 vs. 301 (temporary vs. permanent) — 21.3, 21.4
  • 404 vs. 410 (Gone) — 12.7
  • 404s and rankings (the myth) — 14.5
  • 503 for maintenance / Retry-After — 14.5
  • 75th percentile / 28-day window — 16.5
  • vs. onclick navigation — 19.6

A

  • A report with no misses as a warning sign — 29.7
  • About / Contact pages (as entity signals) — 4.7
  • about/contact transparency — 5.4
  • Above the fold — 9.4
  • Absolute/canonical/200-OK URLs in hreflang href — 20.3, 20.5
  • Accidental noindex (as an audit finding) — 38.2, 38.6
  • Accidental noindex (as top punch-list item) — 40.2
  • Accidental noindex (WordPress "Discourage search engines") — 14.7, 14.8 (Strategy File)
  • Accountability for every published word — 13.7
  • accuracy as the substance signals point at — 35.5
  • Agency (career and model) — 37.1, 37.2
  • Agency junior role (best first job) — 37.3
  • AI detection, unreliability of — 13.3
  • AI Overview (content response; be the source of what it lacks) — 13.6
  • AI Overview (introduced; home Ch 36) — 2.6
  • AI Overview as a decay cause — 12.1
  • AI Overview built on the ranked/indexed web (SEO feeds it) — 36.1, 36.4
  • AI Overviews / SGE — 6.2
  • AI Overviews 2024 launch and errors (glue-on-pizza) — 36.1
  • AI Overviews and the informational play (e-commerce) — 31.7
  • AI Overviews and the link/traffic economics of research — 32.6
  • AI Overviews and zero-click (intent-value shift) — 3.7
  • AI Overviews, defined — 36.1
  • AI-generated content, defined — 13.1
  • AJAX crawling scheme / hashbang (#!) deprecation — 19.6
  • Algorithm-dependence risk — 39.6
  • Algorithmic demotion vs. manual action — 6.2, 6.5, 6.6
  • Algorithmic demotion vs. manual action (the contrast table) — 26.6
  • Algorithmic devaluation vs. manual action — 22.6
  • Aligned incentives (Google vs. publisher) — 1.1, 1.8
  • All-in-one suites (Ahrefs, Semrush, Moz) — 30.7
  • Alphabet-soup Suggest harvest — 7.2
  • Alt text — 11.2
  • Alt text and accessibility (WCAG) — 11.2
  • Alt text as link anchor text — 11.2
  • Alt text, decorative images (empty alt) — 11.2
  • Alternatives page ("[competitor] alternatives") — 32.2
  • AMP (Accelerated Mobile Pages) — 17.7
  • AMP and the Top Stories requirement (removed 2021) — 34.4
  • Analytics and KPIs (assembled) — 40.7
  • Anchor text — 22.3
  • Anchor text (internal) — 15.4, 15.5
  • Anchor types (branded, URL, natural, generic, partial, exact-match) — 24.7
  • Anchor-text discipline (brand/URL/natural) — 40.6
  • Anchor-text distribution / ratio — 24.7
  • Anchor-text over-optimization at scale — 33.7
  • Answer early / inverted pyramid — 9.4
  • Answer engine — 36.1
  • AnswerThePublic — 7.2
  • Anti-doorway pre-publish checklist — Strategy File
  • Asset vs. expense reclassification — 39.4
  • Attribution (crediting organic conversions) — 39.1
  • Attribution (definition; crediting touchpoints) — 28.6
  • Attribution as a model, not proof (recap of Ch 28) — 29.5
  • Audit "health score" myth — 38.5
  • Audit framework (five lenses) — 38.1
  • Audit inventory sources (crawl, GSC, GA4, sitemap) — 12.2
  • Audit report — 38.7
  • Audit toolkit (GSC, PSI, Screaming Frog, suites) — 38.5
  • author bios and credentials — 5.4
  • Author E-E-A-T (publisher) — 34.4
  • author entity — 5.4
  • Author entity / bylines / author pages — 34.4
  • author-level E-E-A-T — 35.4
  • Authoritativeness (reputation from others) — 5.2, 5.4
  • Authority — 2.2
  • Authority / link-earning plan — 40.6
  • Authority ceiling / when format can't win — 10.7
  • Authority consolidation vs. splitting across domains — 20.2
  • Authority flow (external vs. internal) — 22.5
  • Automated internal-link modules — 33.7
  • Average engagement time (foreground focus) — 28.4
  • Average position (definition; an average, not a live rank; read the trend) — 27.2, 27.3

B

  • Backlink — 22.3
  • Backlink gap / content gap (competitive lens) — 38.4
  • Backlink gap / link intersect — 30.5
  • Backlinks and indexation as audit columns — 12.2
  • Baseline (definition; freeze it on day one, never edit) — 29.1
  • Baselining traffic and rankings before launch — 21.2
  • BERT — 2.5
  • BERT (2019) — 6.2
  • BERT / natural language (in context) — 4.6
  • Blocked resources (JS/CSS) and rendering — 19.1, 19.6
  • Blog post as container vs. format — 10.1
  • BM25 — 4.4
  • BMW.de doorway delisting (2006) — Case Study 1
  • Booking/scheduling widget (correctly client-side) — 19.Strategy File
  • Bounce / dwell time (evidence caution) — 9.4
  • Brand/direct as the safest harbor — 36.5
  • Branded vs. non-branded queries (the first segmentation) — 27.2, Strategy File
  • Breadcrumb — 15.3
  • Breadcrumb schema (BreadcrumbList) — 18.3
  • Breadth vs. depth (topical coverage) — 4.5
  • Break-even point — 39.4, 39.7
  • Breaking vs. analysis vs. evergreen — 34.3
  • broad core update vs. penalty — 35.2
  • Broder query taxonomy (2002) — 3.1
  • Broken-link building — 24.3
  • Business acumen — 37.4
  • Business case / budget (investment vs. expense) — 40.7
  • Business models (client pricing) — 37.2
  • Business-name keyword stuffing (guideline violation; suspension) — 25.2
  • Buying links (understand-and-avoid) — 22.6

C

  • Caching (page caching) — 16.6
  • Cannibalization fixes (merge, differentiate, canonical, de-optimize) — 12.5
  • Cannibalization vs. keyword overlap — 12.5
  • Canonical attribution (cross-domain) — 34.6
  • Canonical conflict (fatal) — 20.5, 20.7
  • Canonical for sort/view variants — 31.3
  • Canonical tag / rel=canonical — 14.3
  • Captions and transcripts — 11.5
  • Career paths, movement between — 37.1
  • Case study (portfolio), anatomy of — 37.6
  • Catalog pruning / content audit at scale — 31.4
  • Category page (product listing page / PLP) — 31.1
  • Category-page optimization (title, H1, intro, internal links) — 31.1
  • Causes of decay (competitors, staleness, intent shift, SERP erosion, reassessment, technical) — 12.1
  • ccTLD (country-code top-level domain) — 20.2, 20.6
  • CDN (content delivery network) — 16.6
  • Change of Address tool (domain moves) — 21.5, 21.6
  • Change one variable at a time (sequencing migrations) — 21.1
  • Cheap part vs. expensive part of content work — 13.5
  • Checklist-dump failure mode — 38.1, 38.5
  • Checklist-thinking vs. contest-thinking — 3.4
  • Chosen vs. declared canonical (a silent problem detector) — 27.5
  • Citation (definition; structured vs. unstructured) — 25.4
  • Citation obligation — 23.2
  • citation-stuffing — 35.5
  • citations and sources — 5.4
  • Cited ≠ visited — 36.4
  • Claiming and verifying a profile — 25.2
  • Click-through rate (CTR), on-page levers for — 9.1, 9.2
  • Click-through rate / CTR (definition; clicks ÷ impressions; listing efficiency) — 27.2, 27.3
  • Click-to-call (tel: link) — 17.6
  • Clicks (definition; close to traffic, not identical to a visit) — 27.2
  • Client management — 37.7
  • Client-side rendering (CSR) — 19.2
  • Cloaking (the rule) — 34.5
  • Cloaking vs. dynamic rendering — 19.3
  • CLS (Cumulative Layout Shift) — 16.4
  • Cluster content (spokes) — 8.1
  • CMS / platform change migration — 21.1
  • Co-occurrence — 4.3, 4.4
  • Comment / forum / profile spam — 24.6
  • Commercial investigation intent — 3.1, 3.6
  • Commercial-intent query families (vs / alternatives / best / for-use-case / pricing) — 32.2
  • Commercial-investigation format — 10.6
  • Common fixes (fix-to-vital mapping) — 16.6
  • Common JS-SEO failures — 19.6
  • Communication (top differentiator) — 37.4
  • Comparison page — 10.6
  • Comparison page (B2B commercial intent, recap of Ch 10) — 32.2
  • Comparison-page honesty (rigged comparison as a liability) — 32.2
  • Compensation (salary/rates), honesty about — 37.2
  • Competing-domains / organic-competitors report — 30.3
  • Competitor brand terms (organic vs. paid/trademark) — 32.2
  • Competitor keywords (as a source) — 7.1, 7.3
  • Competitor link analysis (link prospecting) — 24.4
  • Complexity/maintenance cost of extra locales — 20.1, 20.4
  • Compounding returns — 39.4
  • Comprehensiveness vs. length — 9.5
  • Configuring conversions: form fills, phone (tel:) clicks, bookings, purchases — 28.5
  • Confirmed / likely / debunked table — 2.4
  • Confirmed ranking signals — 2.2
  • Confirmed vs. powerful (distinction) — 2.2
  • Confounder — 2.7
  • Connectively (HARO rebrand and shutdown) — 23.4
  • Consent Mode; modeled vs. counted data — 28.7
  • Consolidation / restructure migration — 21.1
  • Content at scale (neutral) — 13.1
  • Content audit — 12.2
  • Content audit (site-level, recap) — 38.3
  • Content audit at publisher scale (prune/update) — 34.3
  • Content compounding (assets vs. output) — 8.6
  • content currency / maintenance on YMYL — 35.5
  • Content decay — 12.1
  • Content decay / archive at publisher scale — 34.3
  • Content format (definition) — 10.1
  • Content funnel (B2B) — 32.1
  • Content gap (recap; page-level read) — 30.4
  • Content gap (topic / coverage / intent) — 8.3
  • Content gap vs. keyword gap (scale & action) — 30.4
  • Content governance — 8.7
  • Content lifecycle (publish → mature → peak → decay → decision) — 12.1
  • Content loaded only on interaction (Load more, infinite scroll, tabs) — 19.6
  • Content map (artifact) — 8.2
  • Content mapping — 8.2
  • Content parity — 17.3
  • Content plan as architecture plan — 8.1, 8.7
  • Content pruning (Rivertown blog 48→~29) — 40.3
  • Content scraping / duplication (canonical, DMCA) — 26.7
  • Content strategy (overview) — 8.1, 8.5
  • Content syndication — 34.6
  • Content types by intent — 8.4
  • Content velocity — 8.6
  • Content-audit anchor (AI-spam angle; less, but better) — 13.4
  • Content-audit anchor (thin content as liability) — 6.3
  • Content-gap analysis — 8.3
  • Conversions as key events (Goal → conversion → key event, 2024 rename) — 28.5
  • Core update (broad) — 6.1, 6.3
  • Core update as a confounder (check the calendar) — 21.7
  • Core Web Vitals (in an audit) — 38.2
  • Core Web Vitals (overview, the three vitals) — 16.1, 16.7
  • Core Web Vitals / Page Experience report (real-user field/CrUX data) — 27.6
  • Core Web Vitals as a KPI (LCP/INP/CLS status; a tiebreaker floor) — 29.1
  • Core Web Vitals as a tiebreaker — 2.2
  • Core Web Vitals overlap (LCP, CLS) — 11.3
  • corrections policy as a trust signal — 35.5
  • Correlation vs. causation — 2.7
  • Corroboration vs. declaration — 4.2, 4.7
  • Cost per acquisition (CPA) — 39.5
  • Cost per click (CPC) as a comparison figure — 39.3
  • costume vs. substance of trust — 5.6
  • costume vs. substance of trust (YMYL) — 35.3, 35.6
  • CPC as commercial-value proxy — 7.4
  • Crawl analysis — 38.2
  • Crawl budget — 1.2
  • Crawl budget (deep) — 33.5
  • Crawl budget (revisited) — 14.6
  • Crawl budget threshold (~10,000 URLs) — 14.6
  • Crawl capacity limit — 33.5
  • Crawl capacity limit vs. crawl demand — 14.6
  • Crawl demand — 33.5
  • Crawl depth (click depth) — 15.1
  • Crawl Stats report — 14.6
  • Crawl trap — 15.7
  • Crawl waste in the logs (parameters, redirects, 404s, noindex) — 33.4, 33.5
  • Crawl-and-index audit (Rivertown) — 14.8 (Strategy File)
  • Crawled — currently not indexed — 14.7
  • Crawled, not indexed — 1.4
  • Crawler trap / near-infinite crawl space — 31.3
  • Crawling — 1.2
  • Crawling vs. indexing (the core distinction) — 14.1, 14.4, 14.7
  • Create event / Modify event (no-code event configuration) — 28.5
  • credentialed authors — 35.3, 35.4
  • Cross-domain canonical as a hint — 34.6
  • Cross-locale duplicate content (myth) — 20.7
  • Crown-jewel URLs (traffic, rankings, backlinks, conversions) — 21.2
  • CrUX (Chrome User Experience Report) — 16.5
  • CTR by position — 1.6
  • CTR curve / click-through rate by position — 39.2
  • currency signals ("last reviewed" dates) — 35.3, 35.5
  • Customer language as a keyword source — 7.1
  • Customer lifetime value vs. first-transaction value — 39.1, 39.5

D

  • DA-as-goal myth — 22.7
  • Damping factor / random surfer model — 22.1
  • Data anonymization (rare queries omitted; rows don't sum to totals) — 27.2
  • Data lag and 16-month history (not instant, not fully retroactive) — 27.1, 27.2
  • Data literacy — 37.4
  • Data thresholding (withheld rows to protect anonymity) — 28.7
  • Data-driven attribution as a model, not truth — 28.6
  • datePublished / dateModified (truthful dates) — 34.4
  • DebugView (verifying an event fires) — 28.5
  • Decay report (GSC 6-month comparison) — 12.2
  • Decision rule: does this page need to rank? — 19.7
  • Default channel group; Organic Search vs. Paid Search vs. Direct — 28.2
  • Definitive guide (as linkable asset) — 23.2
  • Delete / content pruning decision — 12.3, 12.7
  • Delgado family (Marisa, Tony, Ray) — Strategy File
  • Descriptive/hierarchical/stable URLs — 15.2
  • Detecting cannibalization (GSC query → Pages view) — 12.5
  • Developer tickets that ship (what/why/scope/acceptance/priority) — 33.6
  • Device (mobile vs. desktop SERP) — 30.1
  • Diagnosing an update hit (timing/pages/queries/channel) — 6.5
  • Diagnosis (head of the strategy document) — 40.1
  • Different languages are not duplicates — 20.7
  • Differentiated value / information gain at scale — 33.1, 33.2, 33.3
  • Digital PR — 23.3
  • Direct as a "junk drawer"; branded organic leaking into Direct — 28.2
  • Directories & aggregators (Yelp, Angi, HomeAdvisor) — 30.3
  • Disable JavaScript check — 19.5
  • Disallow / Allow directives — 14.1
  • Disambiguation — 4.7
  • Disavow as a loaded gun / removing good links lowers rankings — 26.3
  • Disavow decision (ignore, don't disavow) — 40.6
  • Disavow file text example (domain: lines) — 26.3
  • Disavow tool (definition; file format; replaces prior file) — 26.3
  • Discontinued products (301 / keep / 404-410) — 31.5
  • Discover eligibility (indexed + content policies) — 34.2
  • Discover performance report (Search Console) — 34.2
  • Discover, no keyword / no query — 34.2
  • Discovered — currently not indexed — 14.7
  • Discovery — 1.2
  • Discovery (as a pipeline stage) — 14.2
  • Dispatchr (constructed B2B SaaS anchor, introduced) — 32.1, Strategy File
  • Distinct addresses/phones/reviews per location; the local filter — 25.7
  • Diversification (email, direct, brand, community) — 34.7
  • Diversification / future-proofing — 40.8
  • Diversification as insurance against algorithm change — 29.6
  • Do you need international SEO (the honest test) — 20.1
  • Doing nothing as the active, documented decision — Strategy File
  • Domain age (not a ranking factor) — 2.4
  • Domain Authority (DA) / Domain Rating (DR) — 22.7
  • Domain Authority / Domain Rating (as estimates) — 38.4, 38.5
  • Domain Authority / Domain Rating (as evaluation triage) — 24.1
  • Domain Authority / Domain Rating (recap, from Ch 22) — 30.7
  • Domain change migration — 21.1
  • Domain property (DNS verification; whole-domain coverage) — 27.1
  • Dominant intent — 3.5
  • Don't over-read small numbers / single-day noise — 27.3, 27.7
  • Don't rebuild a server-rendered site into a CSR SPA — 19.7
  • Doorway page (avoided at scale) — 40.5
  • Doorway page (defined to avoid) — 33.2
  • Doorway page (defined-to-avoid; owned deep in Ch 33) — 25.5
  • Doorway-page risk at scale (integration pages) — 32.4
  • Dropped inheritance (canonical, hreflang, robots, sitemap, schema, analytics) — 21.4
  • Duplicate content — 14.3
  • Duplicate content (no penalty; consolidation) — 31.4
  • Duplicate content filtered, not penalized — 20.7
  • Duplicate content penalty (the myth) — 14.3
  • Dynamic rendering — 19.3
  • Dynamic serving — 17.2

E

  • E-A-T to E-E-A-T (added "Experience," Dec 2022) — 5.1, 5.2
  • E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) — 5.1, 5.2, 5.5, 5.6
  • E-E-A-T for a small business vs. a publisher — 5.7
  • E-E-A-T in an AI world — 13.6
  • Earn vs. buy links (backlink gap) — 30.5
  • eBay 2014 organic decline (thin pages at enterprise scale) — Case Study 2
  • Editorial calendar — 8.5, 40.3
  • Editorial judgment — 13.5
  • Editorial link — 22.3
  • Editorial link (earned) — 23.1
  • Eligibility, not outcomes (the hinge principle) — 18.1, 18.7
  • Email as the most owned channel — 36.5
  • en-uk error (should be en-gb / GB) — 20.3, 20.5
  • Engaged session (definition: >10s / 2+ views / key event) — 28.4
  • Engagement / click signals (contested) — 2.3
  • Engagement as a diagnostic, not a ranking dial; Navboost caveat — 28.4
  • Engagement rate; GA4 bounce rate as its inverse — 28.4
  • Enhanced measurement (pageviews, scrolls, outbound clicks, site search, form_submit) — 28.1, 28.5
  • Enhancements / Removals / Change of Address tools — 27.6
  • Enterprise SEO — 33.6
  • Entity — 4.2, 4.3, 4.7
  • Entity clusters (topical territory map) — 4.5, Strategy File
  • Entity connection: context — 4.3
  • Estimated lead value (average job value × close rate; illustrative) — 28.5, Strategy File
  • Estimates vs. Google's data — 7.3, 7.4
  • Ethical judgment — 37.4, 37.7
  • Ethics and reader responsibility — 13.7
  • Ethics: honor consent; no consent evasion or fingerprinting — 28.7
  • Event tiers: automatically collected / enhanced measurement / recommended / custom — 28.1
  • Event, parameter, session, user (the GA4 hierarchy) — 28.1
  • Event-based data model (everything is an event) — 28.1
  • Evergreen content — 34.3
  • Evergreen Googlebot / Chromium renderer (2019) — 19.1
  • Every core principle survives/sharpened by AI — 36.7
  • Evidence ladder / evidence tiers — 2.6
  • evidence tiers applied to "Medic" — 35.2
  • Executive summary (report structure) — 38.7
  • EXIF data — 11.1
  • EXIF geotagging myth (local ranking) — 11.1
  • Expected value of buying links (survivorship bias, asymmetric downside) — 24.6
  • Experience (E-E-A-T) in comparisons — 10.6
  • Experience (first-hand, lived) — 5.2
  • Experience as the moat (the first "E") — 13.6
  • expert review / medical/financial/legal review — 35.3, 35.4
  • Expertise (knowledge and skill) — 5.2
  • Explaining a dip you didn't cause (core update; AI Overview) — 29.7
  • Explicit dimensions / reserving space — 16.4, 16.6

F

  • Fabricated "studies" (why faking data backfires) — 23.7
  • Faceted navigation — 31.3
  • Faceted navigation (crawl trap; see Ch 31) — 15.7
  • Faceted navigation (duplicate source) — 14.3
  • Failure vs. a learning-with-adjustment — 29.7
  • Fake negative reviews (local; Chapter 25) — 26.7
  • False positives / false negatives (detectors) — 13.3
  • FAQPage and the 2023 rich-result rollback — 18.3
  • Featured snippet — 10.3
  • Featured snippet vs. rich result (distinction) — 10.3
  • Featured snippet, earning eligibility for — 10.3
  • Featured-snippet deduplication (2020) — Case Study 1
  • Featured-snippet types (paragraph, list, table) — 10.3
  • Field data leans mobile (CrUX) — 17.5
  • Field data vs. lab data — 16.5
  • Filename, descriptive — 11.1
  • Finding follow-up questions (PAA, Suggest, customers) — 9.5
  • First Input Delay (FID), replaced by INP — 16.3
  • First-click vs last-click vs multi-touch attribution — 32.5
  • First-click, last-click, data-driven attribution — 28.6
  • Five lenses over the pipeline — 38.1
  • Five proximity anchors (the multi-location coverage advantage) — 25.7
  • Five-step SERP-reading routine — 3.3
  • Flat vs. deep architecture — 15.1
  • Flexible sampling (metering / lead-in) — 34.5
  • Flooding the commons — 13.7
  • follow / dofollow link — 22.4
  • Font size / legibility on mobile — 17.4
  • Footer link stuffing — 15.3
  • Forecasting formula (ΔVisits ≈ volume × ΔCTR) — 39.2
  • Format follows intent — 10.1
  • Format follows intent but cannot outrun authority — 10.7
  • Format-at-scale failure (roundup farm) — Case Study 2
  • Frameworks: React / Vue / Angular — 19.4
  • Free certifications (Google Analytics, HubSpot, etc.) — 37.5
  • Free tool / calculator (as linkable asset) — 23.2
  • Free tools/calculators as product-led assets — 32.4, 32.6
  • Free vs paid audit tools — 38.5
  • Free vs. paid tool decision — 7.3, 30.6
  • Freelance consultant — 37.1
  • Freshness (as a signal) — 2.3
  • Freshness / Query Deserves Freshness (QDF) — 12.6
  • Freshness is query-dependent — 12.6
  • Freshness theater (date change myth) — 12.6
  • Freshness vs. historical optimization — 12.6
  • FTC 2024 fake-review rule (US) — 25.3
  • fully-YMYL local professions (medical, legal, financial) — 35.7
  • funding / conflict-of-interest disclosure — 35.3, 35.5
  • Funnel stage vs. search intent (Google reads intent, not labels) — 32.1
  • Funnel stage → content type mapping — 32.1

G

  • GA4 (Google Analytics 4) as successor to Universal Analytics — 28.1
  • GA4 does not log/store IP addresses; data retention (2/14 months) — 28.7
  • Gap as candidate, not to-do list — 30.4
  • GBP fields: name, NAP, hours, services, attributes, photos, description — 25.2
  • GBP/local-pack calls invisible to GA4 (the undercount trap) — 28.5, Strategy File
  • GDPR (consent-first) and CCPA/CPRA (opt-out) at a conceptual level — 28.7
  • Generative engine optimization (GEO), defined — 36.4
  • Genuine publishers caught (contested limit) — 13.4
  • GEO folklore vs. evidence (early-SEO parallel) — 36.4
  • Geotargeting (definition, inferred signals) — 20.6
  • Getting your first client — 37.3
  • Getting your first job — 37.3
  • Go-live checklist (before / at launch / after) — 21.5
  • Google Alerts / brand monitoring — 24.4
  • Google Authorship (rel=author, retired 2014) — 5.4
  • Google Business Profile (definition; formerly Google My Business) — 25.2
  • Google Discover — 34.2
  • Google Keyword Planner — 7.2
  • Google Lens — 11.6
  • Google News — 34.1
  • Google News, automated inclusion (no submission/fee) — 34.1
  • Google Posts, Q&A, messaging, booking, performance insights — 25.2
  • Google Search Console (as keyword source) — 7.2
  • Google Search Console (definition; free; Google's own data vs. third-party estimate) — 27.1, 27.2
  • Google Search Console indexing reports — 14.7
  • Google Search Console Links report — 23.6
  • Google Search Console Links report (ground truth for inbound links) — 26.2
  • Google Search Status Dashboard — 6.1, 6.5
  • Google Suggest / autocomplete — 7.2
  • Google's free tools (Search Console, PageSpeed, Keyword Planner) — 30.7
  • Google's position on AI content (quality over authorship method) — 13.1
  • Google's three local factors: relevance, distance, prominence — 25.1
  • Googlebot — 1.2
  • Googlebot Smartphone — 17.1
  • Governance / pre-publish quality gate — 33.6
  • Governance roles (plan/create/edit/review/approve/measure) — 8.7
  • Grouping keywords into topics — 7.6
  • gTLD (generic top-level domain) — 20.2, 20.6
  • Guest posting (done right vs. link farms) — 24.2
  • Guest-posting spectrum (editorial contribution vs. link scheme) — 24.2

H

  • H1 — 9.3
  • Hacked-site manual action (security) — 26.7
  • Hallucination / plausibility vs. truth — 13.2, 13.7
  • Hand-off to Appendix C (reader's own site) — 40.1, 40.8
  • HARO (Help A Reporter Out) — 23.4
  • Hash-fragment routing (#/route) — 19.6
  • Heading hierarchy (H1–H6) — 9.3
  • Headings and accessibility / screen readers — 9.3
  • Helpful Content casualties (scaled AI, no added value) — 13.4
  • Helpful Content system (content-strategy angle) — 8.6
  • Helpful Content Update / system (2022) — 6.2, 6.4
  • Hidden/accordion content on mobile (in-HTML vs. JS-fetched) — 17.3
  • High-impression, low-CTR opportunity — 38.3
  • High-impressions-low-CTR (title/meta fix) — 12.4
  • High-impressions-low-CTR at page one = title/meta work (the key read) — 27.3
  • Historical optimization — 12.4
  • History API / path-based URLs — 19.6
  • Honest ranged expectations — 40.8
  • Honest scoping (can the client succeed?) — 37.7
  • Host variants (www/non-www, http/https canonicalization) — 21.4
  • Hourly / day-rate pricing — 37.2
  • How Google understands an image (signals) — 11.1
  • how trust is lost (a gate, not an average) — 5.5, 5.6
  • HowTo and the 2023 deprecation — 18.3
  • hreflang (definition, what it can/can't do) — 20.1, 20.3
  • hreflang as an all-or-nothing set — 20.3
  • hreflang failure modes (table) — 20.5
  • hreflang implementation methods (HTML link, HTTP header, XML sitemap) — 20.3
  • hreflang validation (crawler, URL Inspection, Performance-by-country) — 20.5, 20.6
  • HTML shell /
    — 19.2
  • HTTP status codes — 14.5
  • HTTPS and site-level trust cues — 5.4
  • HTTPS as a lightweight signal — 2.2
  • HTTPS as a ranking signal (confirmed, lightweight) — 21.1
  • HTTPS migration (HTTP→HTTPS) — 21.1
  • Hub-and-spoke — 15.6
  • Hub-and-spoke structure — 8.1
  • Human-in-the-loop workflow — 13.5
  • Hummingbird (2013) — 4.1, 6.2
  • Hydration — 19.3
  • Hyphens vs. underscores in URLs — 15.2

I

  • Ignore rather than penalize (how Google treats spammy inbound links) — 26.1
  • Image dimensions (width/height, aspect-ratio) — 11.3
  • Image formats (WebP, AVIF, SVG, JPEG, PNG) — 11.3
  • Image index — 11.1
  • Image performance — 11.3
  • Image SEO — 11.1
  • Image sitemap — 11.7
  • Impact and effort as judgment calls — 38.6
  • Impact × effort prioritization — 40.2, 40.7
  • Implementation: hand-coded vs. plugins — 18.5
  • Implicit / inferred local intent (no "near me" needed) — 3.3
  • Importance vs. relevance (two axes) — 22.1
  • Impressions (definition; an appearance, not a view) — 27.2
  • Impressions up / clicks flat (SERP features, AI Overviews, seasonality) — 27.3
  • In-house SEO — 37.1
  • Inbound litter vs. self-created scheme (the provenance question) — 26.1, 26.2
  • Incremental static regeneration (hybrid) — 19.3
  • Index bloat — 14.7
  • Index bloat (as an audit finding) — 38.2, 38.6
  • Index bloat (e-commerce) — 31.3, 31.4
  • Index bloat / not everything should be indexed (the myth) — 27.4
  • Index management / index bloat at scale — 33.5
  • Indexation & crawlability (audit) — 38.2
  • Indexed (stored) view (on Google?, last crawl, chosen vs. declared canonical) — 27.5
  • Indexed pages as a KPI; index bloat caveat (more is not better) — 29.1
  • Indexing — 1.4
  • Influence without authority (SEO recommends, others implement) — 33.6
  • Information gain — 13.2, 13.6
  • Information gain (in product copy) — 31.2
  • Information gain as click-worthiness (past the summarizable fact) — 36.3
  • Informational / buying-guide queries (content beats catalog) — 31.7
  • Informational intent — 3.1, 3.6
  • Inherited links baselined (Ch 22) and flagged (Ch 6), decided here — Strategy File
  • Inherited spammy links (flagged, disavow deferred to Ch 26) — Strategy File
  • INP (Interaction to Next Paint) — 16.3
  • Insufficient field data (low-traffic pages) — 16.5, Strategy File
  • Integration page — 32.4
  • Intent beats keywords — 3.2
  • Intent mismatch (the #1 overlooked reason pages don't rank) — 3.4
  • Intent shifts over time — 3.7
  • Intent spectrum / buyer's journey — 3.1
  • Intent → content-type table — 3.6
  • Intent → format table — 10.1
  • Intent-to-type table — 8.4
  • Interactive content — 10.5
  • Interflora (2013 paid links) — 22.6
  • Internal link — 15.4, 15.5
  • Internal linking (as cluster wiring) — 8.1, 8.7
  • Internal links (discovery + authority flow) — 40.4
  • Internal links point to new URLs directly (not via redirects) — 21.4
  • Internal search result pages (keep out of the index) — 31.6
  • Internal site search (as demand data) — 31.6
  • Internal-linking plan — 40.4
  • International SEO (definition, two axes: language vs. country) — 20.1
  • International Targeting report retirement (2022) — 20.5, 20.6
  • Interstitial (intrusive) — 17.4
  • Inverse document frequency — 4.4
  • Invisible-to-pack payoff, framed as earned and probabilistic (no guarantee) — Strategy File
  • IPTC photo metadata — 11.7
  • Isolating organic traffic (Organic Search channel) — 28.2

J

  • J-curve / valley of doubt — 39.4
  • JavaScript / meta-refresh redirects (avoid; use server 301) — 21.4
  • JavaScript SEO (the discipline) — 19.1, 19.7
  • JavaScript, and rendering risk — 1.3
  • JavaScript-injected reviews widget (the exception) — 19.Strategy File
  • JavaScript-injected title/canonical/noindex — 19.6
  • JCPenney (2011 link scheme) — 22.6
  • Journalist-request platforms — 23.4
  • JSON-LD (recommended syntax; where it lives) — 18.2

K

  • Keep decision — 12.3
  • Keep/update/merge/delete inventory — 38.3
  • Keyword (definition) — 7.1
  • Keyword and content plan (assembled) — 40.3
  • Keyword cannibalization — 12.5
  • Keyword cannibalization (intro) — 7.6
  • Keyword cannibalization (introduced) — 8.2
  • Keyword density (myth) — 2.4, 9.6
  • Keyword density (myth, semantic reason) — 4.6
  • Keyword difficulty (metric, caveats) — 7.4
  • Keyword gap (site-level) — 30.4
  • Keyword gap analysis (intro) — 7.3
  • Keyword ideas / expansion sources — 7.1
  • Keyword mapping — 7.6
  • Keyword metrics (overview) — 7.4
  • Keyword stuffing (alt text) — 11.2
  • Keyword stuffing (spam signal) — 9.6
  • Keyword vs. intent as optimization target — 3.2
  • Keyword vs. query — 7.1
  • Keyword-gap / content-gap tools — 8.3
  • Keywords in URLs (ranking weight) — 15.2
  • Knowledge Graph — 4.2
  • Knowledge panel — 4.2, 4.7
  • KPI (definition; the "would it change a decision?" test) — 29.1, 29.2
  • KPIs vs. vanity metrics — 40.7

L

  • Landing-page performance for organic — 28.3
  • Language mismatch (tagged vs. actual) — 20.5
  • Language targeting vs. country targeting — 20.1, 20.6
  • Language/region code format (ISO 639-1 + ISO 3166-1) — 20.3, 20.5
  • lastmod / changefreq / priority — 14.2
  • Launch timing (low-traffic, not Friday, not peak season, not during a core update) — 21.5
  • Layout shift causes (unsized images, ads, injected content, fonts) — 16.4
  • Lazy loading — 11.3
  • Lazy loading (native loading="lazy") vs. interaction-gated content — 19.6
  • Lazy-loading the hero image (mistake) — 16.2
  • LCP (Largest Contentful Paint) — 16.2
  • LCP breakdown (TTFB, load delay, load time, render delay) — 16.2
  • Leading vs. lagging indicators — 29.1, 29.6, 40.7, 40.8
  • Leading vs. lagging indicators / patience expectation — 32.7
  • Learning in public — 37.3, 37.6
  • Legitimate programmatic examples (real-estate, travel, reviews, finance sites) — 33.1
  • Length as a symptom of comprehensiveness — 9.5
  • Length normalization — 4.4
  • Licensable badge / image licensing — 11.7
  • Lighthouse (mobile check) — 17.4
  • Lighthouse / the 0-to-100 lab score — 16.5
  • Link attributes (rel) — 22.4
  • Link audit (definition; when to do one; when NOT to) — 26.2
  • Link buying (JCPenney, Interflora) — 24.6
  • Link distance vs. URL path depth — 15.1
  • Link earning vs. link building — 23.1
  • Link equity — 15.4, 15.5
  • Link equity (internal, see Ch 15) — 22.5
  • Link equity through redirects (protect backlinked pages) — 21.3
  • Link exchanges — 24.6
  • Link fingerprint (earned vs. manufactured pattern) — 23.1
  • Link graph — 22.5
  • Link manipulation fingerprints — 22.6
  • Link opportunity evaluation (relevance, authority, traffic, editorial standards) — 24.1
  • Link relevance — 24.1
  • Link removal outreach (grim, slow; pay-to-remove extortion; disavow instead) — 26.5
  • Link scheme / link-spam policy — 22.6
  • Link schemes (Google spam policies) — 24.6
  • Link spam arms race — 22.2
  • Link spam policies (buying/selling, exchanges, PBNs, automated, anchor stuffing) — 26.1
  • Link spikes / site-wide footer links / paid networks (audit tells) — 26.2
  • Link value factors (table) — 22.3
  • Link value: authority — 22.3
  • Link value: placement — 22.3
  • Link value: relevance — 22.3
  • Link velocity — 23.6
  • Link-opportunity scorecard — 24.1
  • Link-profile baseline (audit) — 38.4
  • Link-spam detection (Penguin, SpamBrain, manual actions) — 24.6
  • Linkable asset — 23.2
  • Linkable asset (the metro cost report) — 40.6
  • Linkable asset (tools) — 10.5
  • Linking out / "link leakage" myth — 22.5
  • Links as votes (citation analysis) — 22.1
  • Links in JavaScript (non-anchor "links") — 19.6
  • Links report (external/internal; a sampled floor, not a full profile) — 27.6
  • LLM citation — 36.4
  • Local + mobile ("near me" intent) — 17.6
  • local business that touches YMYL (safety content) — 35.7, Strategy File
  • Local keyword research per market — 20.4
  • Local landing page (definition) — 25.5
  • Local link building (relevance beats "authority") — 25.6
  • Local link sources (chamber, sponsorships, suppliers, local press) — 25.6
  • Local links doubling as citations (pointer to Ch 25) — 24.5
  • Local links: chambers of commerce — 24.5
  • Local links: sponsorships — 24.5
  • Local links: suppliers / manufacturers / distributors — 24.5
  • Local pack / map pack / 3-pack (definition, anatomy) — 25.1
  • Local pack on mobile (fold dominance) — 17.6
  • Local pack vs. localized organic — 40.5
  • Local SEO (definition; ranks businesses, not just pages) — 25.1
  • Local-SEO playbook (five locations) — 40.5
  • LocalBusiness and specific subtypes (HVACBusiness, Plumber, Electrician) — 18.4
  • Localization vs. translation — 20.4
  • Localized organic vs. the local pack (two contests) — 25.1, 25.5
  • Location as the dominant local ranking signal — 30.1
  • Location page at scale — 33.3
  • Location/category pages are not cannibalization (distinct intent) — 12.5
  • Log-file analysis — 33.4
  • Log-file analysis (forward ref) — 14.6
  • Long-cycle attribution problem — 32.5
  • Long-tail keywords — 7.5
  • Long-tail vs. generic head term — 31.7
  • Lookback window; conversion paths report (Advertising section) — 28.6
  • Looker Studio (free dashboard builder) — 29.3
  • Low CTR at page-two position = a ranking problem, not a listing problem — 27.3
  • Low-volume / high-value B2B keywords — 32.1, 32.2, 32.7

M

  • Machine translation (raw, unreviewed) — 20.4
  • Machine vision (Google) / OCR — 11.1, 11.6
  • Machine-learned ranking — 2.5
  • Main thread / JavaScript blocking — 16.3
  • Making the pitch (owner / CFO / board) — 39.7
  • Managing expectations (long-game conversation) — 37.7
  • Managing expectations / the long-game conversation — 29.6
  • Manual action (definition; a human reviewer; a notice) — 26.4
  • Manual action rarer than algorithmic demotion — 26.4
  • Manual Actions / Security Issues report ("No issues detected"; the alarm check) — 27.6
  • Manual Actions report (the one penalty signal) — 38.4
  • Manual Actions report in Search Console (the ten-second check) — 26.4
  • Manual-action types (unnatural links to/from, thin content, pure spam, UGC spam, cloaking, hidden text, hacked, spammy structured data, site reputation abuse) — 26.4
  • Manufacturer boilerplate / duplicate product copy — 31.2, 31.4
  • Marking paid/sponsored guest links (nofollow/sponsored) — 24.2
  • Mass email, why it fails — 23.5
  • Matching content to intent (format, depth, angle) — 3.6
  • Matt Cutts, "decay and fall of guest blogging" (2014) — 24.2
  • max-image-preview:large / large images for Discover — 34.2
  • Meaning vs. display (job one vs. job two) — 18.1, 18.4
  • Medic as quality bar catching up (the durable lesson) — 35.2
  • Merchandising (and internal-link authority flow) — 31.6
  • Merge / consolidation decision — 12.3, 12.5
  • Meta description — 9.2
  • Meta description not a ranking factor — 9.2
  • Meta keywords tag (debunked) — 2.4
  • Meta keywords tag (ignored) — 9.2
  • Meta robots tag — 14.4
  • Meta-frameworks: Next.js / Nuxt / Gatsby — 19.4
  • Method invisible to Google, value everything — 33.1, 33.6
  • Micro-intent (one query, many needs) — 3.5
  • Microdata and RDFa (older syntaxes) — 18.2
  • Migration as a "burst of change" (why volatility is expected) — 21.1, 21.7
  • Migration monitoring (what to watch, where, cadence) — 21.6
  • Milestone (leading indicator) — 40.7
  • Minimum viable cluster — 8.5
  • Missing return tag — 20.5
  • Mobile configurations (responsive / dynamic serving / separate URLs) — 17.2
  • Mobile speed (harder networks, weaker CPUs) — 17.5
  • Mobile UX — 17.4
  • Mobile-first indexing — 17.1
  • Mobile-first indexing (as a ranking signal) — 2.2
  • Modern SERP anatomy with AI Overview on top — 36.1
  • MQL / SQL and the lead journey — 32.5, 32.7
  • Multi-location SEO (one real profile per real location) — 25.7
  • Multi-touch attribution — 32.5
  • Multilingual single-country case (language on one domain) — 20.1, Strategy File
  • Multisearch / Circle to Search — 11.6
  • MUM — 2.5
  • Myth: a perfect 100 score ranks you #1 — 16.7
  • Myth: Google uses GA4 data (bounce/engagement) as a ranking signal — 28.1, 28.4

N

  • Named updates field guide — 6.2
  • NAP consistency (consistency over volume) — 25.4
  • NAP consistency (site ↔ GBP) — 17.6
  • Natural language / NLP, BERT (writing for meaning) — 9.6
  • NavBoost / DOJ antitrust testimony — 2.3
  • Navigation (main / breadcrumb / footer) — 15.3
  • Navigational intent — 3.1, 3.6
  • Near-miss queries (impressions, low CTR) — 8.3
  • Necessary but not sufficient (limits of intent) — 3.6
  • Needs Met rating — 5.1
  • Negative SEO (definition; the link version mostly a myth) — 26.7
  • Never guarantee rankings — 37.7
  • Never promise a ranking; report trajectory — 29.6, Strategy File
  • Never promising a ranking — 40.8
  • Never touch spam policies for a client — 37.7
  • News sitemap — 34.1
  • NewsArticle schema — 34.4
  • Newsjacking — 23.3
  • Niching / specialization — 37.3
  • No fake locations; the service-area business (SAB) setting — 25.7
  • no medical/financial/legal advice (modeled restraint) — 35.6
  • No PII in GA4 (policy prohibition; use the CRM) — 28.5
  • No-regret move — 2.3
  • nofollow (page-level meta) — 14.4
  • nofollow / sponsored / ugc on press links — 23.3
  • nofollow as hint (2020) — 22.4
  • nofollow attribute — 22.4
  • noindex — 14.4, 14.7
  • noindex (accidental) — 1.4
  • noindex in robots.txt (the myth) — 14.1, 14.4
  • noindex vs. robots.txt (ordering / interference) — 31.3
  • Non-branded traffic as the real growth signal — 29.1
  • Non-Google crawlers (Bing, social scrapers, AI/LLM) and JavaScript — 19.2, 19.7
  • Non-native English writers flagged as AI — 13.3
  • Normal dip vs. emergency (the judgment table) — 21.7
  • Not-indexed statuses (noindex, robots.txt, 404, canonical) — deferred to Ch 14 — 27.4
  • Numbers as approximation: trust trend/magnitude, distrust false precision — 28.7

O

  • Off-page / authority audit — 38.4
  • off-site reputation — 5.4
  • Offline conversion import (leads → revenue) — 28.5
  • On-page audit — 38.3
  • On-page rewrite of the #11 page (title, meta, H-structure) — Strategy File
  • On-page template (intent-matched title, answer-early) — 40.4
  • One index (vs. "separate mobile index" myth) — 17.1
  • One page, many URLs — 14.3
  • One primary intent per page — 8.2, 8.4
  • One want, one page — 7.6
  • One-H1 guidance (honest nuance) — 9.3
  • OpenAI classifier shutdown (low accuracy) — 13.3
  • Opportunity = value × winnability — 7.7
  • Opportunity cost — 39.7
  • Organic conversion (definition; the hinge metric) — 29.1, 29.5
  • Organic segment in the Explore section (reusable filter) — 28.2
  • Organic sessions as a KPI; branded vs. non-branded split — 29.1
  • Organic value chain (traffic × conversion × value) — 39.1
  • Organic vs. paid results — 1.6
  • Organic-attributed vs. organic-caused (attribution honesty) — 29.5
  • Organization schema — 18.4
  • Organizational transparency (masthead, corrections policy) — 34.4
  • organizational-level E-E-A-T — 35.4
  • Original research / data as a link magnet — 23.2
  • Original research as link magnet — 32.6
  • Orphan page — 1.2, 15.7
  • Orphan pages from non-anchor links — 19.6
  • Orphan pages in inventory (crawls miss them) — 21.2
  • Out-of-stock handling (temporary) — 31.5
  • Outbound-link division (C(T_i)) — 22.1, 22.5
  • Outreach — 23.5
  • Over-optimization risk — 24.7
  • Owned audience / newsletters — 34.7
  • Owners (Marisa, Tony, Ray Delgado) — 40.7, 40.8

P

  • Page Experience update (2021) — 6.2
  • Page Experience update (AMP incentive removed) — 17.7
  • Page Experience update (as ranking signal) — 16.1, 16.7
  • Page indexing report — 14.7
  • Page indexing report (Indexed vs. Not indexed and why) — 27.4
  • Page Quality rating and scale (Lowest–Highest) — 5.1, 5.5
  • Page speed, business case for (users first) — 16.1
  • Page type vs. search intent (matching page type to intent) — 31.1, 31.7
  • PageRank — 22.1, 22.2
  • PageRank (internal flow; see Ch 22) — 15.4
  • PageRank formula (display) — 22.1
  • PageRank sculpting (dead tactic) — 22.4
  • PageRank sculpting with nofollow (myth) — 15.6
  • Pages / Countries / Devices / Search Appearance dimensions — 27.2
  • PageSpeed Insights — 16.5, 16.6
  • Paid audit as entry product — 37.3
  • Panda (2011) — 6.2
  • Parameter URL — 31.3
  • Parity checklist (content, schema, images, links, metadata, hreflang) — 17.3
  • Partial rendering / render failure — 19.1
  • Paywall structured data (isAccessibleForFree) — 34.5
  • Paywalls — 34.5
  • Penguin (2012) — 6.2
  • Penguin as an early algorithmic link demotion (pre-2016) — 26.6
  • Penguin update (link spam) — 22.2
  • People Also Ask (as structure and opportunity) — 10.4
  • People Also Ask (PAA) — 7.2
  • People-first vs. search-first content — 6.4
  • Performance report (the four metrics + four dimensions) — 27.2
  • Performance-based pricing (and its risk) — 37.2
  • Personalization — 30.1
  • Personalization and relevance in outreach — 23.5
  • Personalization of results — 1.5
  • Phone-number-in-quotes citation audit — 25.4
  • Pillar page — 8.1
  • Pillar-and-cluster (architecture of; see Ch 8) — 15.6
  • Pillar-and-cluster for a niche (recap of Ch 8) — 32.3
  • Pillar-and-cluster model — 8.1
  • Pipeline (discover, crawl, render, index, rank, serve) — 1.1, 1.7
  • Pipeline as diagnostic framework — 1.7, Strategy File
  • Pipeline vs. traffic (measuring B2B SEO) — 32.7
  • Plumbing hub — 15.6, Strategy File
  • Portfolio — 37.6
  • Position zero — 10.3
  • Post-deletion cleanup (internal links, sitemap, redirect record) — 12.7
  • Post-migration analytics + rank tracking — 21.6
  • Pre-deletion checklist (backlinks, traffic/conversions, redirect target) — 12.7
  • Pre-migration crawl (Screaming Frog) — 21.2
  • Prerendering — 19.3
  • Primary and secondary categories (highest-impact field) — 25.2
  • Principles over tactics (why the book ages well) — 36.7
  • Prioritization — 7.7
  • Prioritization by impact × reach — 33.6
  • Prioritization matrix (impact × effort) — 38.6
  • Priority rankings (a small tracked set; leading indicator) — 29.1
  • Priority terms (what to track) — 30.2
  • Privacy and the limits of measurement — 28.7
  • Privacy/consent limits on attribution — 32.5
  • Privacy/consent undercount of measured conversions — 29.3
  • Privacy: GSC is aggregate/anonymized vs. user-level analytics (GDPR/CCPA) — 27.6
  • Private blog networks (PBNs) — 24.6
  • Product / Review schema (e-commerce application) — 31.2
  • Product images and visual search — 11.6
  • Product page (product detail page / PDP) — 31.2
  • Product schema / Offer / AggregateRating — 18.3
  • Product-led content / product-led growth (PLG) — 32.4
  • Profile suspension (the local "manual action") — 25.2, 25.7
  • Programmatic SEO (template + data = pages at scale) — 33.1
  • Progressive enhancement — 19.7
  • Project management — 37.4
  • Project pricing — 37.2, 37.3
  • Prominence (definition; reviews, links, directories, organic standing) — 25.1, 25.3, 25.6
  • Promoting a high-demand facet to a subcategory — 31.3
  • Property types (domain vs. URL-prefix; what each covers) — 27.1
  • Proprietary vantage point (finding your data) — 23.2
  • Proximity (definition; the factor you can't optimize) — 25.1, 25.7
  • Pruning raises traffic (mechanism: site-wide quality, concentration, cannibalization) — 12.3
  • Publisher / media SEO (overview) — 34.1
  • Publisher Center (presentation, not gatekeeping) — 34.1
  • Publishing cadence — 8.5, 8.6
  • purchase event with value/items (e-commerce) — 28.5

Q

  • Quality over quantity — 8.6
  • quality raters (raters vs. the algorithm) — 5.1
  • Query deserves freshness (QDF) — 34.1
  • Query expansion / synonymy — 4.6
  • Query exposure by intent (informational vs transactional/local) — 36.3
  • Query report / Queries tab (Google's own record of search terms) — 27.2
  • Query vs. intent — 3.1
  • Query-dependent signal — 2.1, 2.3
  • Questions to ask your developer — 19.4
  • Quick wins / major projects / fill-ins / thankless tasks — 38.6
  • Qwoted / Featured / SourceBottle / ProfNet / #JournoRequest — 23.4

R

  • Rank as a means, not an end (vanity risk) — 30.2
  • Rank tracker (controlled, single vantage point) — 30.2
  • Rank tracking (practice/definition) — 30.1, 30.2
  • RankBrain — 2.5
  • RankBrain (2015) — 6.2
  • Ranking (overview) — 1.5
  • Ranking and traffic decoupling (the anchor payoff) — 36.2
  • Ranking drop vs. click drop (SERP erosion) — 12.1
  • Ranking factor (myth of the count) — 2.1
  • Ranking factor vs. visibility prerequisite — 17.1
  • Ranking signal — 2.1
  • Ranking system — 2.1
  • Rankings computed at query time (no stored leaderboard) — 30.1
  • Raw impressions in isolation as vanity — 29.2
  • Re-reading the SERP (cadence) — 3.7
  • Read-the-SERP method (six fields) — 10.2
  • Readability / Flesch score (not a ranking factor) — 9.7
  • Reading a correlation study (checklist) — 2.7
  • Reading format off the SERP — 10.2
  • Reading intent off SERP features (snippet, carousel, local pack, PAA) — 3.3
  • Reading landing pages as a portfolio (discovery vs. money pages) — 28.3
  • Reading the data: the interpretation table (pattern → meaning → move) — 27.3
  • Real demand as a precondition for a page — 33.1, 33.3, 33.5
  • Real negative SEO: scraping, hacking, fake reviews, tool abuse — 26.7
  • Reasonable surfer (patent) — 22.2, 22.3
  • Reasoning under uncertainty (robustness, not paralysis) — 36.6
  • Reconsideration does nothing for an algorithmic demotion — 26.5, 26.6
  • Reconsideration request (definition; only for manual actions) — 26.5
  • Recovery timelines (a range and a shape, not a promise) — 21.7
  • Redesign migration (same URLs) — 21.1, Strategy File
  • Redirect chain (and the one-hop fix) — 21.4
  • Redirect loop — 21.4
  • Redirect map (the governing rule; closest equivalent) — 21.3
  • Redirect to a relevant target, not the homepage — 12.7
  • Redirect to the homepage = soft 404 (the myth) — 21.3
  • Redirects and cleanup after deletion — 12.7
  • Redirects live at the instant of launch (the myth of "add them later") — 21.5
  • Referring domain — 22.3
  • Referring domains (recap, from Ch 22) — 30.5
  • Referring domains over time — 23.6
  • reframing to first-hand experience (not advice) — 35.6
  • Relationship links / local partnerships — 24.5
  • Relevance — 2.2
  • Relevance / quality / usability (the three questions) — 1.5
  • Remediation roadmap — 38.7
  • Removing a page from the index (the correct method) — 14.4
  • Render queue / rendering delay — 19.1
  • Render-blocking resources — 16.6
  • Rendered HTML as ground truth (the Ch 19 payoff; Ctrl+F for content) — 27.5
  • Rendering — 1.3
  • Rendering (as a pipeline stage, revisited) — 19.1
  • Rendering mode vs. framework choice — 19.4
  • Rendering-approach trade-off table — 19.3
  • Rent vs. own framing — 39.3, 39.4
  • Rented land vs. owned channels — 36.5
  • Reporting cadence (weekly/monthly/quarterly/annual; audience × altitude) — 29.4
  • Reporting honestly / including what didn't work — 29.7
  • reputation research (independent sources) — 5.1, 5.4, 35.4
  • Reputation, compounding — 37.6
  • Request Indexing (queues a crawl; quota; not ranking, not on-demand indexing) — 27.5
  • Resource-page link building — 24.3
  • Responsive design — 17.2
  • Responsive images (srcset/sizes) — 11.3
  • Retainer — 37.2
  • Retired Mobile-Friendly Test / Mobile Usability report — 17.4
  • Retrieval / retrieval-augmented generation — 36.1, 36.4
  • Retroactive detection of link spam — 22.6
  • Return-tag rule (reciprocity) — 20.3, 20.5
  • Reverse causation — 2.7
  • Review gating, incentivized reviews, fake reviews (prohibited) — 25.3
  • Review signals (count, score, velocity, recency, text, photos, responses) — 25.3
  • Review snippet; self-serving reviews rule (2019) — 18.3
  • reviews and reputation — 5.4
  • Reviews as a moat AI can't copy — 36.5
  • Reviews as content — 31.2
  • Reviews as ranking input, conversion lever, and trust signal — 25.3
  • Rewriting existing URLs (cost) — 15.2, 15.7
  • Rich result (definition; formerly rich snippet) — 18.1, 18.3
  • Rich results and click-through rate (CTR) — 18.3, 18.7
  • Rich Results Test — 18.6
  • Rising average position = the work is working (the long game) — 27.3
  • Rivertown 12-month business case & budget — 39.7 (Strategy File)
  • Rivertown blog audit (48 → ~29 posts) — 12.8 (Strategy File)
  • Rivertown blog borrows publisher/Discover thinking (Strategy File) — 34 Strategy File
  • Rivertown commercial HVAC line (B2B lens, Strategy File) — Strategy File
  • Rivertown core queries classified by intent — 3.Strategy File
  • Rivertown CWV measurement + prioritized fix list — Strategy File
  • Rivertown designed architecture (home → service → service×city) — Strategy File
  • Rivertown disavow-or-ignore decision (ignore; four reasons; revisit triggers) — Strategy File
  • Rivertown E-E-A-T pass (has-it vs. shows-it) — Strategy File
  • Rivertown engagement, scoping and pricing — Strategy File
  • Rivertown full audit + prioritized punch list — Strategy File
  • Rivertown future-proofing / diversification plan — Strategy File
  • Rivertown GA4 conversion setup (Figure 28.2) — Strategy File
  • Rivertown light e-commerce (parts/filters) — Strategy File
  • Rivertown link-profile baseline — Strategy File
  • Rivertown metro cost report (linkable asset) — Strategy File
  • Rivertown mobile audit (parity, tap targets, click-to-call) — Strategy File
  • Rivertown one-page monthly report template (Figure 29.3) — Strategy File
  • Rivertown proposed-fixes evidence sort — Strategy File
  • Rivertown responsible AI-assisted workflow — Strategy File
  • Rivertown schema plan (LocalBusiness + Service + FAQ) — Strategy File
  • Rivertown service×city page system (~75 pages) — Strategy File
  • Rivertown starter keyword list, scored by opportunity — 7.Strategy File
  • Rivertown theme migration checklist (same-domain redesign) — Strategy File
  • Rivertown top-ten query format plan — 10.Strategy File
  • Rivertown topical territory (heating/cooling/plumbing/electrical) — Strategy File
  • Rivertown update-exposure check — 6.Strategy File
  • Rivertown white-hat link plan (four pillars) — 24.📈
  • Rivertown YMYL-touch content policy — Strategy File
  • Rivertown's real competitors + content/link gap list — 30.Strategy File
  • Rivertown: first month read (branded traffic; 185k non-branded impressions) — Strategy File
  • Rivertown: indexing findings resurfaced from Ch 14 (accidental noindex; index bloat ~1,400 vs ~120; five near-duplicate location pages) — Strategy File
  • Rivertown: international does not apply; the Spanish /es/ exception — Strategy File
  • Rivertown: stand up GSC (domain property, DNS, sitemap, add user) — Strategy File
  • Robots Exclusion Protocol / RFC 9309 — 14.1
  • robots.txt — 14.1, 14.6
  • robots.txt backfire (Indexed, though blocked) — 14.1, 14.7
  • Rollback doubles the damage (panic vs. patience) — 21.7
  • Rough traffic estimate (volume × click share) — 7.4
  • Routine tweaks vs. core vs. system vs. new-capability updates — 6.1

S

  • Same date, same format = predictability = trust — 29.4
  • Same-language regional search-term differences (sneakers/trainers) — 20.4
  • Same-language regional variants (the real case) — 20.7
  • sameAs — 4.7
  • sameAs and entity consolidation (ties to Ch 4) — 18.4
  • Scaled content abuse (spam policy) — 33.2, 33.5
  • Scaled content abuse (spam policy, March 2024) — 13.1, 13.4
  • Scaling internal linking (double hub-and-spoke) — 33.7
  • Scaling templates safely (sample-test, stage, monitor by pattern) — 33.7
  • Scannability / formatting (F-pattern, lists, tables, bold) — 9.7
  • Scheduling updates vs. new content — 8.5
  • Schema Markup Validator (validator.schema.org) — 18.6
  • Schema vs. the local pack (Google Business Profile drives it) — 18.4
  • Schema.org (vocabulary) — 18.2
  • Scope of work (in/out of scope) — 37.7
  • Screaming Frog / crawler tool — 30.7
  • Search Console average position (what it is / isn't) — 30.2
  • Search Console Core Web Vitals report — 16.5
  • Search Console country-target setting (removed) — 20.6
  • Search Console Crawl stats (free proxy for logs) — 33.4
  • Search Console during a migration (Pages report, 404 spikes, URL Inspection) — 21.6
  • Search Console Enhancements reports — 18.6, 18.7
  • Search Console Internal Links report — 15.5
  • Search Console Links report — 22.7, Strategy File
  • Search engine, purpose of — 1.1
  • Search intent (definition) — 3.1
  • Search operators for link prospecting — 24.3
  • Search Quality Rater Guidelines — 5.1
  • Search Quality Rater Guidelines (Know/Do/Website/Visit-in-person) — 3.1
  • Search volume (metric, accuracy) — 7.4
  • Search volume vs. value (intent) — 39.2
  • Seasonal products / stable year-round URLs — 31.5
  • Seasonality and market maturity — 3.7
  • Seasonality vs. decay (year-over-year comparison) — 12.1
  • Secondary dimensions (device, new vs. returning, channel) — 28.3
  • Seed keyword — 7.1
  • Seeds-to-list expansion — 7.1
  • Segmenting rank tracking by city and device — 30.2
  • Self-referencing canonical — 14.3
  • Self-referential hreflang tag — 20.3, 20.5
  • Self-reported attribution ("how did you hear about us?") — 32.5
  • Semantic search — 4.1, 4.6
  • SEO as a career / profession — 37.1
  • SEO as a skill for another job (dev, writer, founder) — 37.1
  • SEO audit, definition of — 38.1
  • SEO budgeting (line items) — 39.5
  • SEO certification — 37.5
  • SEO community — 37.6
  • SEO competitor vs. business competitor — 30.3
  • SEO costs of client-side rendering — 19.2
  • SEO dashboard (definition; GSC + GA4 in one screen) — 29.3
  • SEO ROI identity — 39.1
  • SEO strategy document (assembling) — 40.1, 40.8
  • SEO vs. paid search — 39.3
  • SEO, definition of — 1.7
  • Separate mobile URLs (m-dot) — 17.2
  • Sequencing by cluster (build pillar first) — 8.5
  • SERP analysis (reading the SERP) — 3.3
  • SERP anatomy — 1.6
  • SERP as answer key — 10.2, 10.6
  • SERP erosion (same position, fewer clicks) — 12.1
  • SERP feature — 10.2
  • SERP features (snippet, PAA, local pack, AI Overview) — 1.6
  • SERP features reshape a rank's value — 30.1
  • SERP volatility — 30.1, 30.2
  • SERP volatility trackers — 6.1, 6.5
  • Server speed raises the crawl ceiling — 33.5
  • Server-side rendering (SSR) — 19.3
  • Server/IP location (no longer a geo signal) — 20.6
  • Service schema (meaning-only; no rich result) — 18.4
  • Service × city as long-tail — 7.5
  • Service×city / location-page matrix — 33.3
  • Service×city page system (Rule 0) — 40.5
  • Session source / medium (google/organic, bing/organic) — 28.2
  • SGE (Search Generative Experience) — 36.1
  • Share of voice (definition; aggregate/relative view of priority rankings) — 29.1
  • Share of voice (recap, from Ch 29) — 30.2
  • Shared service layer vs. unique local layer — 33.3
  • signals that demonstrate E-E-A-T — 5.4
  • Silent link punishment largely a ghost today — 26.6
  • Silo (physical / virtual) — 15.6
  • Single-page application (SPA) — 19.2
  • Site architecture — 15.1, 15.2, 15.3, 15.4, 15.5, 15.6, 15.7
  • Site migration (definition, why it's the riskiest SEO operation) — 21.1
  • Site-level quality assessment — 34.3, 34.7
  • Site-wide quality signal (Panda / Helpful Content) — 12.3
  • Site-wide vs. partial manual actions — 26.4
  • site: phrase search test — 19.Strategy File, 19.5
  • Sitemap index file — 14.2
  • Sitemap limits (50,000 URLs / 50MB) — 14.2
  • Sitemaps report (submit XML sitemap; aids discovery) — 27.6
  • Skills beyond SEO — 37.4
  • Snippet generation by Google — 9.2
  • Soft 404 — 14.5
  • Soft 404 (irrelevant redirect) — 12.7
  • Soft 404 (mass irrelevant redirects) — 31.5
  • source citations (vs. local-SEO citation) — 35.3, 35.5
  • source hierarchy for YMYL — 35.5
  • Spam updates — 6.2
  • SpamBrain — 6.2
  • SpamBrain / real-time Penguin devaluing vs. penalizing links — 26.1, 26.6
  • Spammy structured markup (manual action) — 18.7
  • Speed and conversions / bounce (evidence) — 16.1
  • Speed and expertise (winning a journalist query) — 23.4
  • Split SERP as a signal — 3.3, 3.5
  • Splitting vs. consolidating intents across pages — 3.5
  • sponsored attribute — 22.4
  • Staging noindex shipping to production (the catastrophe; Ch 1 callback) — 21.5, Strategy File
  • Staging site (definition) — 21.5
  • Stakeholder map (engineering, product, content, design, legal, execs) — 33.6
  • Static site generation (SSG) — 19.3
  • Strategic internal linking — 15.5
  • Strategy document, eight components — 40.1
  • Strategy File: Rivertown furnace pillar-cluster — 8.Strategy File
  • Striking-distance keywords — 7.2
  • Striking-distance pages (positions 5–20) — 12.4
  • Striking-distance traffic math (position × CTR × volume) — 12.4
  • Strings vs. things — 4.1
  • Structured data (entity-linking role) — 4.3, 4.7
  • Structured data is not a ranking factor — 18.7
  • Structured data, definition and two jobs — 18.1
  • Structured-data guidelines (visible, true, representative) — 18.7
  • Subdirectory / subfolder (international) — 20.2, Strategy File
  • Subdirectory-vs-subdomain debate (evidence) — 20.2
  • Subdomain (international) — 20.2
  • Subject-matter expert (SME) review — 8.7
  • Subtopic research from PAA — 10.4
  • Summit Gear Co. (constructed e-commerce anchor, introduced) — 31.1, Strategy File
  • Surrounding text / caption (image context) — 11.1
  • Syndicated copy noindex — 34.6
  • System of systems / emergent behavior — 2.5

T

  • Tag manager injection and the rendering caveat (ties to Ch 19) — 18.5
  • Tap target — 17.4
  • Technical audit — 38.2
  • Technical fluency (enough to brief a dev) — 37.4
  • Technical-audit punch list — 40.2
  • Template leverage and risk (site-wide change) — 33.6, 33.7
  • Template page — 33.1, 33.7
  • Term-frequency saturation — 4.4
  • Test Live URL / live test (indexability now; rendered HTML; screenshot) — 27.5
  • Testing what Google sees — 19.5
  • TF-IDF — 4.4
  • TF-IDF / BM25 (repetition dampening) — 9.6
  • TF-IDF optimization tools (myth) — 4.4
  • The "apple problem" (ambiguous queries) — 3.2
  • the "E-E-A-T score" myth — 5.6
  • The "funnel of loss" (blockers, declined consent, unfired tags, cross-device, thresholding) — 28.7
  • the "Medic" update (2018) reference — 5.1, 5.3
  • The "what decision would this number change?" test — 29.2
  • The "which is it?" decision tree (Manual Actions report → timing → algorithmic/technical) — 26.6
  • The #11 page (external-authority angle) — 22.5, Overview, Strategy File
  • The 500-post blog (content-audit anchor) — 8.6
  • The AI answer "eats the traffic worth the least" — 36.3
  • The AI Overview that took 30% of the clicks (anchor, home) — 36.2
  • The Amazon paradox — 31.7
  • The business-case narrative (traffic → leads → revenue) — 29.5
  • The citation ecosystem (Google, Apple, Bing, Yelp, Facebook, BBB, industry) — 25.4
  • The content loop (measure → decide → schedule) — 8.7
  • The decision to execute — 40.8
  • the ethics: do not fake authority — 35.6
  • The five KPIs that matter (the table) — 29.1
  • The five-location local-SEO playbook (GBP×5, NAP cleanup, review engine) — Strategy File
  • The five-year uncertainty (open questions) — 36.6
  • The four audit axes (traffic × rankings × conversions × quality) — 12.2
  • The four decisions (keep / update / merge / delete) — 12.3
  • The free keyword toolkit — 7.2
  • The GSC (pre-click) vs. GA4 (post-click) division of labor — 28.2, Conclusion
  • the harm-based YMYL test ("if wrong, who gets hurt?") — 35.1
  • The honest weight of CWV (tiebreaker, not trump card) — 16.7
  • The limits of link earning (slow, uncertain, unglamorous) — 23.7
  • The mad-libs / spun-text anti-pattern — 33.2, 33.3
  • the Medic Update (2018) — 35.2
  • The metrics pyramid (noise → KPIs → the owner's number) — 29.1
  • The newsjacking window (timing) — 23.3
  • The normal migration curve (dip → wobble → recovery) — 21.7
  • The one legitimate proactive disavow use (a genuine targeted campaign) — 26.7
  • The one-line weekly log (trends are invisible without a record) — 27.7
  • The opportunity matrix (2×2 quadrants) — 7.7
  • The page stuck at #11 — content gap itemized — 30.4
  • The page stuck at #11 (audit finds it) — 38.3, Strategy File
  • The page stuck at #11 (intent read) — 3.4
  • The page stuck at #11 (internal-links fix) — 15.5
  • The page stuck at #11 (resolved) — 40.4
  • The paid keyword toolkit (Ahrefs/Semrush/Moz) — 7.3
  • The provenance question ("did we build this?") — 26.2
  • The quality bar (four honest questions) — 33.2
  • The recovery loop (remove → disavow the rest → document → file → wait) — 26.5
  • The review engine (asking, timing, frictionless links, responding) — 25.3, Strategy File
  • the safety bright line (inform and route, never DIY danger) — 35.7, Strategy File
  • The same-SERP test — 7.6
  • The search demand curve (head/body/tail) — 7.5
  • The SEO curve and the valley of disappointment — 29.6
  • The SERP is the answer key — 3.3
  • The simplest safe path (content in HTML before JS) — 19.7
  • The six recurring themes (named) — 40.8
  • The thin-page trap / near-duplicate city pages — 25.5
  • the three grounds against faking (fragile / deceptive / harmful) — 35.6
  • the trust bar and stakes — 5.3
  • the two-level trust stack — 35.4
  • The value chain funnel (sessions → engaged → leads → jobs → revenue) — 29.5
  • The weekly monitoring ritual (yours; not a report) — 29.4
  • The weekly review ritual (alarms → trends → opportunity → log) — 27.7
  • the YMYL go/no-go decision — 35.6
  • Thin content — 31.4
  • Third-party authority metrics (not Google) — 22.7
  • Third-party backlink tools / Domain Authority as estimates (not Google) — 26.2
  • Third-party Domain Authority / Domain Rating — not a Google signal — 29.2
  • Third-party review platforms owning queries (G2, Capterra, TrustRadius) — 32.2
  • Thought leadership (real vs. fake) — 32.6
  • Three competitor sets: rivals / aggregators / publishers — 30.3
  • Three questions for any SEO claim — 2.6
  • Three-click rule (myth) — 15.1
  • Threshold vs. maximum (diminishing returns) — 16.7
  • Thumbnail — 11.4, 11.5
  • Time horizon / 12-month commitment — 39.7
  • Title length / truncation (pixels vs. characters) — 9.1
  • Title link (SERP headline) — 9.1
  • Title rewriting by Google (2021) — 9.1
  • Title tag — 9.1, 9.7
  • Title tag vs. H1 (distinction) — 9.3
  • ToFu / MoFu / BoFu (top/middle/bottom of funnel) — 32.1
  • Tool numbers are estimates that disagree — 30.6, 30.7
  • Toolbar PageRank retired (2016) — 22.2
  • Tools and calculators as format — 10.5
  • Top Stories carousel — 34.1
  • Top Stories carousel (AMP requirement removed) — 17.7
  • Topic cluster — 8.1
  • Topical authority — 4.5
  • Topical authority "score" myth / evidence tiers — 32.3
  • Topical authority (applied) — 8.1
  • Topical authority (introduced, home Ch 4) — 2.3
  • Topical authority (recap of Ch 4; B2B niche scale) — 32.3
  • Topical authority vs. Domain Authority — 4.5
  • Total keyword count ("we rank for 10,000 keywords") as vanity — 29.2
  • Toxic link (definition; a vendor term, not a Google signal) — 26.1
  • Toxic links / disavow decision (audit) — 38.4
  • Toxic-link monitoring/removal as a myth — 26.1
  • Toxicity score as a vendor heuristic (false positives) — 26.2
  • Traffic acquisition vs. User acquisition (session- vs. user-scoped) — 28.2, 28.6
  • Traffic diversification (as risk mitigation) — 39.6
  • Traffic diversification (mindset) — 6.7
  • Traffic diversification (rented vs. owned) — 23.7
  • Traffic diversification as migration insurance — 21.7
  • Traffic diversification, defined — 36.5
  • Traffic forecasting (position → CTR → visits) — 39.2
  • Traffic-source fragility (publishers) — 34.7
  • Traffic-to-pipeline value chain — 32.7
  • Transactional intent — 3.1, 3.6
  • transparency and editorial standards — 35.3, 35.5
  • Treadmill vs. asset (compounding authority) — 23.1
  • Trend / seasonality / Google Trends — 7.4
  • Trends over time vs. daily obsession — 30.2
  • Triage (most dangerous first) — 40.2
  • Triage by danger, not by count — 14.7
  • Triage by danger, not by count (the small excluded page beats the big pile) — 27.4
  • Trust at the center of the diagram — 5.5
  • Trustworthiness (the center) — 5.2, 5.5
  • TTFB (Time To First Byte) — 16.2, 16.6
  • Twelve-month roadmap (four phases) — 40.7
  • Two-gate model (format vs. authority) — 10.7
  • Two-wave index — 19.1
  • Two-wave indexing — 1.3
  • Types of migration (the five, by risk) — 21.1

U

  • UA → GA4 metric translation (bounce, time on page, goals) — 28.4
  • UGC attribute — 22.4
  • Universal Analytics sunset (data stopped July 1, 2023) — 28.1
  • Unlinked brand mentions (reclamation) — 24.4
  • Unnatural anchor-text distribution (exact-match commercial tell) — 26.2
  • Unnatural links (Google's actual term) — 26.1
  • Update decision — 12.3, 12.4
  • Update families (quality/spam/understanding/experience/answers) — 6.2
  • Update recovery (improve + wait for reassessment) — 6.6
  • Update resilience — 6.7
  • URL Inspection tool — 14.7
  • URL Inspection Tool (definition; one URL; two views) — 27.5
  • URL Inspection Tool / rendered HTML — 19.5
  • URL inventory (building it; sources) — 21.2
  • URL structure — 15.2
  • URL structures for international sites (comparison) — 20.2
  • URL-prefix property (HTML file/tag, Analytics, Tag Manager verification) — 27.1
  • User-declared vs. Google-selected canonical — 14.3, 14.7
  • Users and permissions (Full/Restricted; never share your password) — 27.1, 27.6

V

  • Value (volume weighted by intent/commercial worth) — 7.7
  • Value per conversion — 39.1
  • Value-based pricing — 37.2
  • Vanity metric (definition; the three) — 29.2
  • Vanity metric vs. pipeline metric (B2B, recap of Ch 29) — 32.7
  • Vanity metrics (total backlinks, third-party DA/DR) — 23.6
  • Variant consolidation (color/size on one canonical URL) — 31.4
  • Verification (proving ownership; ongoing; not a ranking signal) — 27.1
  • Verifying Googlebot (reverse/forward DNS) — 33.4
  • Video hosting (self-host vs YouTube embed) — 11.4, 11.5
  • Video indexing requirements — 11.4
  • Video key moments (Clip / SeekToAction) — 11.4
  • Video SEO — 11.4
  • Video sitemap — 11.7
  • VideoObject (schema) — 11.4
  • View Page Source vs. the Elements panel — 19.5
  • Viewport (meta tag) — 17.4
  • Visual search — 11.6
  • Vocabulary floor — 9.6
  • Volatility (ranking) — 6.1
  • Volume buckets / ranges (Keyword Planner) — 7.2, 7.4
  • Volume-is-not-authority (AI-spun content risk) — 32.3

W

  • Watch time / audience retention — 11.5
  • Web Rendering Service (WRS) — 19.1, 19.6
  • Web Stories — 34.4
  • Weekly (not daily) cadence; signal vs. noise — 27.7
  • WellPath (YMYL publisher example) — 5.7, 35.3
  • What a genuine location page contains — 25.5
  • What AI does badly (experience, originality, accuracy, currency) — 13.2
  • What AI does well (drafts, structure, summarize, translate, ideate) — 13.2
  • What GSC cannot tell you (post-click behavior; other engines) — 27.7, Conclusion
  • What paid tools buy (scale, competitor data, gap, tracking) — 7.3
  • What paid tools buy (speed & scale, not truth/rankings/judgment) — 30.6
  • What supports being cited (rank, structure, authority, information gain, schema) — 36.4
  • When NOT to use disavow (core update; tool-flagged "toxic"; routine hygiene) — 26.3
  • When to use disavow (manual action; self-built links you can't remove) — 26.3
  • Who actually needs crawl-budget optimization (honest scoping) — 33.5
  • Why a single "rank" doesn't exist — 30.1
  • Why Google updates — 6.1
  • Why GSC clicks and GA4 organic sessions never match — 29.3
  • Why last-click undervalues SEO (early-touch problem) — 28.6
  • Why the tail wins (intent, competition, compounding) — 7.5
  • why the trust bar rises with the stakes — 35.1
  • Wikidata / Wikipedia (as corroboration sources) — 4.2, 4.7
  • Winnability (judged by reading the SERP) — 7.7
  • Word count (not a ranking factor) — 2.4
  • Word-count myth ("1,890 words") — 9.5
  • WordPress sitemaps (wp-sitemap.xml, plugins) — 14.2
  • Writing and editing — 37.4

X

  • x-default — 20.3
  • X-Robots-Tag — 14.4
  • XML sitemap — 14.2
  • XML sitemap (as discovery) — 1.2

Y

  • YMYL (Your Money or Your Life) — 5.3, 35.1, 35.2, 35.7
  • YMYL and AI content (do not fake authority) — 13.7
  • YMYL categories (health/safety, financial, society, other) — 35.1
  • YMYL is not a penalty or separate algorithm (myth) — 35.1
  • YMYL spectrum / gray zone — 5.3, 35.1
  • YMYL-adjacent local businesses — 5.7, 35.7
  • you cannot buy E-E-A-T — 5.6
  • YouTube as a search engine — 11.5
  • YouTube SEO — 11.5
  • YouTube title / description / chapters — 11.5

Z

  • Zero-click / snippet trade-off — 10.3
  • Zero-click figures / refusing fake precision — 36.2
  • Zero-click search, defined — 36.2