Patent Compliance Statement
RehabNews Africa is engineered for structural and semantic compliance with the foundational patents underlying Google's search ranking systems. This statement documents the specific implementation measures applied to each patent.
Architect: Anthony James Peacock (AJP-2024-ARCH-0001) | Last Updated: 10 March 2026
Patent Coverage Overview
| Patent Number | Title (Abbreviated) | Pillar | Compliance Status |
|---|---|---|---|
| US6285999B1 | Method for node ranking in a linked database | PageRank & Link Graph | ✅ Implemented |
| US7716216B1 | Ranking documents based on user behavior and feature data | Semantic Proximity & Entity Co-occurrence | ✅ Implemented |
| US9165040B1 | Ranking search results | E-E-A-T & Information Gain | ✅ Implemented |
Method for node ranking in a linked database
PageRank Algorithm — Hub-and-Spoke Link Architecture
Inventors
Lawrence Page
Filed
January 9, 1998
Granted
September 4, 2001
Assignee
Stanford University / Google LLC
Patent Summary & Relevance
This patent describes the PageRank algorithm, which ranks web pages based on the quantity and quality of inbound links. RehabNews Africa implements a deliberate hub-and-spoke internal linking architecture to comply with the structural requirements of this patent. Every page has a calculable 'Distance to Seed' from the homepage, and all content pages receive inbound links from at least one hub page to ensure link-graph integrity.
Implementation Measures on RehabNews Africa
Homepage (Seed Node) links to all 14 drug information pages, 3 location pages, and all major content hubs.
Every drug page links back to the Drug Information hub (/drug-information) and to 3–5 semantically related drug pages.
Author pages, About, and FAQ are linked from the Footer on every page, ensuring zero orphan pages.
Sitemap.xml provides a complete crawlable index of all pages with priority and change frequency metadata.
Ranking documents based on user behavior and/or feature data
Semantic Proximity & Entity Co-occurrence Scoring
Inventors
Krishna Bharat, Mehran Sahami
Filed
March 9, 2004
Granted
May 11, 2010
Assignee
Google LLC
Patent Summary & Relevance
This patent describes methods for ranking documents based on semantic proximity and the co-occurrence of related entities within the same content block. RehabNews Africa structures all drug information pages to place primary entities (drug name, chemical class, addiction type) and secondary modifiers (treatment options, withdrawal symptoms, South African statistics) within the same semantic containers — specifically within the same <section>, <article>, or <p> elements — to maximise semantic proximity scores.
Implementation Measures on RehabNews Africa
Each drug page contains a 'Semantic Cloud' of co-occurring entities: drug name, chemical class, street names, health effects, South African prevalence data, and treatment options.
Primary entities and secondary modifiers are placed within the same <div> and <p> containers throughout all 14 drug pages.
DrugSchema JSON-LD includes Wikidata entity IDs (sameAs) for every drug, tethering content to the global Knowledge Graph.
ArticleSchema includes mentions arrays linking to related entities, strengthening semantic proximity signals.
Author identity (Anthony James Peacock, AJP-2024-ARCH-0001) is consistently co-located with drug content via the AuthorCard component.
Ranking search results
E-E-A-T, Information Gain & Author Entity Verification
Inventors
Amit Singhal, Matt Cutts
Filed
October 7, 2009
Granted
October 20, 2015
Assignee
Google LLC
Patent Summary & Relevance
This patent describes ranking methods that incorporate author expertise, content freshness, and information gain signals. RehabNews Africa implements a verified Author Entity architecture to comply with the E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) requirements derived from this patent. The site's author, Anthony James Peacock, is identified with a unique identifier (AJP-2024-ARCH-0001), a Wikidata entity (Q138427536), and a verified personal domain (AnthonyJamesPeacock.com).
Implementation Measures on RehabNews Africa
PersonSchema JSON-LD on every page identifies Anthony James Peacock with @id, sameAs (Wikidata Q138427536, AnthonyJamesPeacock.com, LinkedIn, Florida Sunbiz), hasCredential, and knowsAbout arrays.
All drug pages include an AuthorCard component with verified credentials, 32-year recovery experience, and patent-compliance identifier AJP-2024-ARCH-0001.
ArticleSchema on all articles uses Person (not Organization) as the author entity, with @id linking to the PersonSchema.
All content pages include South African-specific statistics, original research citations, and unique datasets not available elsewhere — satisfying the 'Information Gain' requirement.
MedicalWebPageSchema on all drug and location pages includes medicalAudience, lastReviewed, and author attribution.
Compliance Architect
Name
Anthony James Peacock
Known to the community as Tony Peacock
Unique Identifier
AJP-2024-ARCH-0001
Wikidata Entity
Q138427536Official Site
AnthonyJamesPeacock.comOrganisation
LinkDaddy® LLC
509 N Prescott Avenue, Suite B, Clearwater, FL 33755
Systems Engineered For
Compliance with US Patents 7716216 and 6285999B1 — the structural and semantic foundations of modern search ranking systems.