The SEO / AIO 26-Discipline Library — 178 volumes on 8 shelves, release 2026.09.12-g40. Twenty-six specialist disciplines operating as one accountable system, with the evidence rules that make a pass mean something. Every volume is a book on these shelves. Pull one.
SEO / AIOLibrary
- 91 current — Current, source-linked operating design or researched guidance.
- 41 researched — Researched design, reviewed 2026-09-12: a library view or proposed design with its sources stated; not a deployed system, a live audit or a provider requirement.
- 9 reference — Reference document; its scope and limits are stated inside it.
- 2 baseline — Baseline material retained as a record; not fully fact-checked. Current guidance takes precedence.
- 35 workbench — Public workbench — a brief or draft; not approved as published fact until reviewed with evidence.
How the 26 disciplines work as one accountable system: routing, handoffs, acceptance, integration, decision ownership.
- 01Instructions for AI-assisted use of this library
- 02Change log
- 03Operating model — separate expertise, one accountable system
- 04Master routing protocol — choose the right specialist before acting
- 05Handoff contracts — preserve evidence across specialties
- 06Acceptance and independence — what a pass actually means
- 07Build public expertise from the internal discipline library
- 08Integrate the discipline library into an actual AI coding project
- 09Decision ownership and conflicting-repair matrix
- 10Full-audit coverage without launching 26 uncontrolled agents
- 11The 26-discipline operating library
- 12SEO / AIO Library — 26-Discipline Edition
- 1326-discipline validation — actual local results
- 1426-Discipline Expansion — Research and Delivery Report
- 15Discipline gap map
- 16Discipline expansion — primary-source register
- 17Discipline-library integration snippet
- 18Discipline templates
- 19Discipline utilities — executable scope and limitations
The 26 specialist charters — accountable responsibility, activation, diagnostic sequence, evidence, acceptance, failure modes.
- R01Site Reliability Engineer
- R02Network/DNS Engineer
- R03Backend Web Engineer
- R04Frontend Web Engineer
- R05Browser Compatibility Engineer
- R06Web Performance Engineer
- R07Accessibility Specialist
- R08Technical SEO Engineer
- R09Information Architect
- R10Search Relevance/IR Engineer
- R11Structured Data/Knowledge Graph Engineer
- R12AEO/AIO/GEO Engineer
- R13Content Strategist/SEO Editor
- R14Fact-Checker/Claims Auditor
- R15Conversion-Rate Optimization Specialist
- R16Analytics/Measurement Engineer
- R17Email Deliverability Engineer
- R18Local SEO/GBP Specialist
- R19Digital PR/Authority Specialist
- R20Application Security/Privacy Engineer
- R21QA/SDET Engineer
- R22Adversarial/Red-Team Reviewer
- R23Product Marketing/Market Researcher
- R24Solutions Architect/Integrator
- R25Release/Change Manager
- R26Independent Acceptance Engineer
End-to-end procedures that cross several charters, with the evidence each step must leave behind.
- 01Bubbles: outside-in availability and public reachability
- 02Contact form to actual mailbox: an end-to-end evidence chain
- 03From public delivery to useful answers and observed AI citations
- 04Browser and accessibility regressions across a complete task
- 05Improve measured performance without damaging the website
- 06Turn verified work into a public expertise asset
- 07Coordinate hostname, URL and content migrations
- 08Preflight, controlled release and fresh acceptance
- 09Cross-discipline playbooks
Researched guidance and preserved baseline material; each document states its own review status.
- 01Agent access, MCP and security boundaries
- 02AI answer observation and controlled evaluation
- 03AI referrals, analytics channels and qualified outcomes
- 04AI citation engineering — controllable inputs and observable outcomes
- 05Google AI Overviews and AI Mode — eligibility, controls and measurement
- 06Bing AI Performance and citation-share interpretation
- 07Client scope, tier applicability and acceptance
- 08Commerce data consistency across page, feed and structured data
- 09Content delivery first — without false crawler absolutes
- 10Crawl payload budgets and content delivery
- 11Crawler identity, logs and safe edge access
- 12Engine-specific discovery, training and user-access controls
- 13Evidence governance and claim authorization
- 14Faceted navigation and crawl-space control
- 15Field performance and interaction acceptance
- 16GA4 implementation — current AI channels, scopes and outcome quality
- 17Google generative AI performance: current reporting contract
- 18Search Console analysis — current reports and defensible diagnostics
- 19Titles, descriptions and preview copy without false limits
- 20Location-page evidence and genuine local utility
- 21SEO library — canonical master index
- 22Migration contract, checkpoints and rollback
- 23Next.js metadata, streaming and rendering validation
- 24Next.js SEO implementation — versioned route contracts
- 25Preferred Sources and publisher relationship design
- 26Regional Search eligibility and policy differences
- 27Research maintenance and documentation drift control
- 28Structured-data lifecycle and feature eligibility
- 29Schema types in 2026 — semantic validity versus search features
- 30ChatGPT Search — publisher access and measured referrals
- 31SEO release contracts and reproducible acceptance tests
- 32Social and video platform properties in Search Console
- 33First-party facts, provenance and reusable evidence
- 34Search spam policy — scoped interpretation and operational controls
- 35URL lifecycle, canonical decisions and safe retirement
- 36SEO build reference: intake to production evidence
- 37Universal Search Delivery Framework — not a ranking formula
- 38Executed validation — 2026.09.09
- 39SEO library audit and research update
- 40Coverage matrix — every unique original
- 41Findings and dispositions
- 42Remaining review queue and explicit limits
- 43Primary-source register
- 44Tier applicability and deliverable map
- 45Schema examples — fictional, not deployable as supplied
- 46Implementation templates
- 47Offline tools and test scope
Forty selected graph types, representations and practical views over one source-linked data model — a researched expansion (2026-09-12) with its source register; designs, not deployed systems.
- 01Graph systems — research and implementation expansion
- G01Personal identity and profile graph
- G02Organization, business, and brand graph
- G03Cross-domain operating and ownership graph
- G04Entity resolution and reconciliation graph
- G05Local business, place, and service-area graph
- G06Product, offer, merchant, and inventory graph
- G07Authorship and editorial contribution graph
- G08Topic, ontology, and taxonomy graph
- G09Document, passage, and entity graph
- G10Claim, evidence, and provenance graph
- G11E-E-A-T evidence graph
- G12Reputation, review, and corroboration graph
- G13Internal link and navigation graph
- G14External web-link graph
- G15Citation, co-citation, and bibliographic-coupling graph
- G16Canonical and duplicate-document graph
- G17Redirect and migration graph
- G18Hreflang and locale-alternative graph
- G19Crawl, rendering, and resource-dependency graph
- G20Structured-data consistency graph
- G21Query, intent, and page-relevance graph
- G22SERP observation and competitor-overlap graph
- G23Question, task, and query-fan-out map
- G24Entity-mention and co-occurrence graph
- G25AI answer, grounding, and citation graph
- G26Search-to-lead and customer-journey graph
- G27GraphRAG and owned-corpus retrieval graph
- G28Embedding-similarity and nearest-neighbor graph
- G29Temporal, version, and supersession graph
- G30Contradiction, uncertainty, and dispute graph
- G31Source-dependency and change-impact graph
- G32Instruction, capability, and workflow dependency graph
- G33Requirement, test, evidence, and acceptance graph
- G34Permissions, consent, and disclosure graph
- G35Multimedia, transcript, and rights graph
- G36Open Graph social-preview metadata
- G37Social, professional, and interaction graphs
- G38Scholarly and research graph
- G39Event, venue, organizer, and time graph
- G40Learning prerequisite and curriculum graph
- 42Primary source register (S01–S49)
- 43Synthetic public JSON-LD example and claim record template — not production
Public-content briefs for each discipline — a reader question, a distinct contribution, and the proof required before publishing.
- 01R01 public-content brief — Why can a website be running on the server but unavailable to customers?
- 02R02 public-content brief — Why does my website work through Tailscale but not on the public internet?
- 03R03 public-content brief — What does a contact form success message actually prove?
- 04R04 public-content brief — How do you build a website that remains usable when JavaScript fails?
- 05R05 public-content brief — Is a Playwright WebKit test the same as testing Safari on an iPhone?
- 06R06 public-content brief — Why does a good Lighthouse score not prove that real visitors have a fast website?
- 07R07 public-content brief — What must an accessibility audit test beyond an automated score?
- 08R08 public-content brief — How do you distinguish a crawlability problem from an indexing or relevance problem?
- 09R09 public-content brief — How do you organize a service website without creating duplicate or orphan pages?
- 10R10 public-content brief — What makes a page relevant to a customer question rather than merely keyword-rich?
- 11R11 public-content brief — How do you connect an author, business and technical article without inventing authority?
- 12R12 public-content brief — How can a business measure AI search visibility without confusing crawler visits with customers?
- 13R13 public-content brief — How do you turn technical troubleshooting into useful evidence-led content?
- 14R14 public-content brief — What evidence should support a website performance or marketing claim?
- 15R15 public-content brief — How do you improve a service inquiry path without mistaking clicks for leads?
- 16R16 public-content brief — How do you reconcile search visibility, AI referrals and qualified website inquiries?
- 17R17 public-content brief — How do you prove that a website inquiry reached your mailbox?
- 18R18 public-content brief — How do you improve local visibility without inventing locations or duplicating city pages?
- 19R19 public-content brief — What makes a backlink or publication mention meaningful evidence of expertise?
- 20R20 public-content brief — How do you harden a business website without breaking its forms or tracking?
- 21R21 public-content brief — What should a website regression suite prove before deployment?
- 22R22 public-content brief — How does an adversarial website review challenge a clean audit report?
- 23R23 public-content brief — How do you choose technical website topics that attract the right service inquiries?
- 24R24 public-content brief — Who resolves conflicting fixes when SEO, performance and security disagree?
- 25R25 public-content brief — What should a website release plan include beyond clicking deploy?
- 26R26 public-content brief — What makes website acceptance testing genuinely independent?
Six drafts from the public workbench. Not approved as published fact until reviewed with evidence.
How verified work becomes a public expertise asset.
Release 2026.09.12-g40. 178 volumes.
The 26-discipline library (2026.09.09-d26) with the Graph Systems expansion of 2026-09-12 on its own shelf. Nothing in these documents has been edited for this room; cross-references between volumes open the volume, references to the library’s offline templates and tools are shown as plain text.