Topical Authority Architecture: Topic Mapping, Pillar-Cluster Engineering, and the Site-Level Signals That Make Google Rank You

Topical Authority Architecture. A practitioner reference for SEO leads, content strategists, and site owners who publish regularly but cannot break through on competitive terms because their coverage is fragmented and shallow. The book treats topical authority as a site-level property, not a page-level one, and documents the architecture that converts individual page quality into site-level topic ownership. What the book covers: Site-wide authority as the real mechanism. The patents that frame the problem (Microsoft US20210004416A1 with its T(s,t)2 topic purity formula, Google US8458196B1 author authority, Google US8407231B2 link-based criteria), the 2024 Content Warehouse leak fields (siteFocusScore, siteRadius, site2vec, NavBoost), Topic-Sensitive PageRank (Haveliwala 2002, IEEE 2003), and Google's May 2023 confirmation of topic authority as a ranking input for news. Mapping the topic boundary. Operator methodology for discovering the semantic boundary of a topic before publishing: link-graph as primary signal vs URL hierarchy as secondary, Wikipedia table-of-contents as subtopic taxonomy, entity co-occurrence, BERT/MUM/RankBrain semantic understanding, site-vector outlier detection. Pillar-cluster engineering at scale. Cluster sizing (15-30 articles for competitive terms), concentrated vs diffuse publishing (Graphite 2023 study on 332 URLs across 12 domains), cannibalization rules at planning stage, site diversity ceiling (~2 SERP slots per domain), subdirectory vs subdomain. Hub pages and internal link topology. Anchor text as relevance signal (US8407231B2 tracks anchor changes as freshness and focus indicators), click depth as crawl risk, NavBoost 13-month rolling click window, internal links as entity-relationship signals. E-E-A-T as operational engineering. Per-author authority signatures (US8458196B1), credential-topic match, author schema mechanics (separate author objects, author.url, sameAs to ORCID/LinkedIn/Wikidata, knowsAbout), JSON-LD adoption (Web Almanac 2024, ~41%), the leaked contentEffort and OriginalContentScore fields. Freshness as a patent system. Query-deserves-freshness (Singhal NYT 2007), the formula S' = S * Q^D from US8832088B1 with the reverse sigmoid age curve (+5 to -5, steep drop at one month), update frequency and amount from US8549014B2 (boilerplate excluded), link-based freshness from US8407231B2, sitemap lastmod policy. The velocity decision. Publish-new vs update-existing vs consolidate decision framework, applied weekly. Triggers per option drawn from the Search Engine Land 2024 cluster-page consolidation rules and the acceleration pattern from US8549014B2. Multi-domain topical footprint. Working around Google's site diversity ceiling by extending presence into Reddit (Google-Reddit content agreement), Zenodo, Internet Archive, Google Play Books, SSRN, ResearchGate, Academia.edu, SlideShare, Scribd, Medium, Substack. The mechanism (co-citation, co-occurrence, site2vec entity-topic reinforcement) is distinct from link building. Structure: 9 chapters plus introduction, conclusion, and an audit and implementation walkthrough that runs across 6 phases with tools per step and 'what good looks like' benchmarks. Bibliography of 43 entries spanning Google Search Central documentation, Google patents, Microsoft patents, academic papers (Haveliwala 2002 IEEE 2003, Neurocomputing 2025), industry studies (Graphite 2023, Ahrefs, Semrush, Backlinko, iPullRank, Search Engine Land), and documented reporting on the 2024 Google Content Warehouse leak. Length: Approximately 21,000 words, 103 pages A5. Voice is practitioner reference, direct, anti-motivational, satire calibrated to 4 out of 10. Written from the perspective of an operator who runs four sites across three industries (industrial pumps, engineering services, leather craft and publishing) and has worked the topical authority playbook on each of them with different audience profiles, content depths, and technical constraints. Series context: Book 03 of the Advanced SEO tier in a 37-book SEO reference library. Cross-references throughout to peer books in the series: Content SEO (basic topic clusters and content pruning), Entity SEO (Knowledge Graph and structured data), AI & Generative Search SEO (AI search architecture), Off-Page SEO (link building tactics), Analytics, and others. The redundancy rule across the series is enforced: each topic has one owner book, and other books cross-reference rather than re-explain. Access status: File access is restricted because the commercial edition is being prepared for distribution through Google Play Books and other storefronts. Researchers, librarians, and academic readers may request access for non-commercial research purposes through the Zenodo Request Access mechanism. Requests are typically answered within seven working days. Metadata, abstract, and bibliography remain fully open. Author identity: Wikidata Q138856145, ORCID 0009-0006-0425-4923, Web hibranwar.com.