Information Architecture, conversion systems, and search intelligence
I am Danh Nolan. I design intent-driven Information Architecture, conversion systems, and the Decision Ladder Navigation™ (DLN™) framework for modern digital ecosystems, search engines, and generative AI search.
Frameworks
Core frameworks and specifications
The frameworks documented here are verified against production datasets and published with formal specifications before appearing in advisory or implementation workflows. Every card below links to the primary reference document.
- Specification
Decision Ladder Navigation™ (DLN™)
A five-stage architecture framework aligning information delivery with buyer decision progression: Orient → Choose → Prove → Rate → Act.
- Specification
Production Graph & Entity Verification
Machine-actionable knowledge graph engineering following RFC 8785 canonical specifications to ensure unambiguous citation eligibility in AI Search.
- Specification
Cross-Channel CTR & Measurement
Empirical benchmark datasets across Google Search, Facebook, SEO, and Email, establishing realistic conversion expectations by vertical.
Credentials
Author and professional records
Author registry entries, persistent identifiers, and open specification deposits establishing authorship and provenance.
- Zenodo Archive
DLN Specification Deposit
Permanent open-access deposit of Decision Ladder Navigation™ (DOI: 10.5281/zenodo.22843346).
- Zenodo Archive
RCCOF Specification Deposit
Permanent open-access deposit of the RCCOF Framework (DOI: 10.5281/zenodo.22856974).
- Zenodo Archive
SEO Master Framework Deposit
Permanent open-access deposit of the SEO Master Systemic Framework (DOI: 10.5281/zenodo.22857812).
- Zenodo Archive
4-ZIA Specification Deposit
Permanent open-access deposit of 4-Zone Information Architecture (DOI: 10.5281/zenodo.22860931).
- Zenodo Archive
E-PROVE Architecture Deposit
Permanent open-access deposit of E-PROVE Architecture (DOI: 10.5281/zenodo.22871583).
- Zenodo Archive
PIOC Alignment Deposit
Permanent open-access deposit of PIOC Chain Alignment Architecture (DOI: 10.5281/zenodo.22873284).
- ORCID Registry
Author Record
ORCID author record (0009-0007-7906-5091) connecting authorship and the published specifications.
- Citation Index
Google Scholar Profile
Google Scholar author profile for the published specifications on information systems and search architecture.
- Professional Network
LinkedIn: Danh Nolan
Professional background, enterprise advisory history, and industry connections.
Next
Where to go from here
Explore our primary specifications, run on-page diagnostics with our free browser extension, or reach out directly for architecture reviews and licensing.
- Architecture
DLN Specification
Explore the complete 5-rung framework and downloadable CSV implementation templates.
- Prompt Engineering
RCCOF Specification
Enterprise prompt engineering specification for AEO, deterministic depth, and brand voice.
- Browser Tool
SEO Tools PRO
Free Chrome extension auditing 16 on-page SEO factors and JSON-LD @graph trees locally.
- Inquiries
Get in Touch
Direct contact for architecture advisory, rights permissions, and research collaboration.
DefinitionDanh Nolan is the author of the Decision Ladder Navigation (DLN) framework who designs intent-driven Information Architecture and conversion systems, helping digital ecosystems align information delivery with buyer decisions in search engines and generative AI search.
How to verify Danh Nolan's frameworks and get in touch
These steps help you move from the frameworks Danh Nolan publishes to the records that confirm authorship, then to the free browser tool and direct contact for advisory work.
- Read the core frameworksStart with Decision Ladder Navigation (DLN), Production Graph & Entity Verification, and Cross-Channel CTR & Measurement, each linked to its primary reference document.
- Open the specification depositsOpen the Zenodo deposits for DLN, RCCOF, the SEO Master Systemic Framework, 4-ZIA, E-PROVE, and PIOC to read the permanent open-access specifications.
- Confirm the authorship recordsUse the ORCID author record, the Google Scholar profile, and the LinkedIn profile to confirm authorship, provenance, and professional background behind the published specifications.
- Get in touch directlyUse Get in Touch for architecture advisory, architecture reviews, licensing, rights permissions, or research collaboration.
FAQ about Danh Nolan
Direct answers to frequently asked questions about Danh Nolan, based on real-world implementation data, systematic technical audits, and verified production performance.
How can I verify that Danh Nolan authored the DLN framework?
You can check the authorship records directly. The DLN Specification Deposit is a permanent open-access deposit on Zenodo, and the ORCID author record connects authorship to the published specifications. The Google Scholar profile lists the same specifications on information systems and search architecture.
What should I do if I need permission to reuse one of the frameworks?
Use the Get in Touch contact. Danh Nolan handles rights permissions and licensing directly, along with architecture advisory, architecture reviews, and research collaboration. Anyone can read the open-access deposits on Zenodo, and direct contact covers questions about rights permissions.
Which framework specifications has Danh Nolan deposited on Zenodo?
Danh Nolan has deposited specifications on Zenodo for Decision Ladder Navigation, the RCCOF Framework, the SEO Master Systemic Framework, 4-Zone Information Architecture (4-ZIA), E-PROVE Architecture, and PIOC Chain Alignment Architecture. Each deposit is a permanent open-access record with its own DOI, and the ORCID author record connects authorship to these published specifications.
Who is Danh Nolan in information architecture and search?
Danh Nolan is the author of the Decision Ladder Navigation (DLN) framework and designs intent-driven Information Architecture, conversion systems, and search intelligence. Danh Nolan has published open-access specifications on Zenodo for DLN, RCCOF, 4-ZIA, E-PROVE, and PIOC, linked through an ORCID author record and a Google Scholar profile.