The Stage30™ Methodology Reference
Stage30™ is the resolution methodology for AI search. The theory in brief, and the corpus the score is read against. A measurement, not an opinion.
The Theory, in Brief
An AI search system does not rank. It resolves. It retrieves a small set of candidate sources for a question, then composes one answer by eliminating the candidates it cannot trust. A brand is selected when its signal holds together across the page, across the wider web, and across the structure a model parses before it reads a word of prose.
Stage30 scores that on three pillars. The detailed criteria are proprietary. The frame is public.
| Pillar | Is | Governed by |
|---|---|---|
| Authorship | The writing. A citable position in a verifiable human voice. | Stage for Writing™ |
| Entity | The graph. One resolvable entity across every surface a model reads. | Stage for Surfaces™ |
| Code Refinement | The structure. Markup and schema that lower a model's inference cost. | Stage for Developers + HTML™ |
The three pillars roll into one Resolution Score from 0 to 100, banded from Terminal at the top to Entropic at the bottom. The number answers one question: why is a model not resolving to this brand? Terms are defined in the Lexicon; the argument is in the methodology.
The Source Corpus
The methodology is written down. It is versioned, cross-referenced, and tested on real brands before it is published. This is the record of what the score is read against.
| Document | Function | Extent |
|---|---|---|
| Stage30™ Methodology, Complete IP | The full specification. USPTO Application 4592722. | 108 pp |
| The Stage30™ Canon | The living master reference, with relational-identity and outbound addenda. | v21–v24 |
| Stage30™ Complete Architecture | The end-to-end system, on-page through off-page. | 13 pp |
| Document | Governs | Extent |
|---|---|---|
| Stage for Writing™ (v1.1a) | Authorship. | 47 pp |
| Stage for Surfaces™ | Entity. The entity network and cross-surface audit. | Entity Network |
| Stage for HTML™ | Code Refinement. The page-level structural reference. | 44 pp |
| Stage for Developers™ | Code Refinement. Schema, JSON-LD, entity chains. | 21 pp |
| Stage30™ HTML Blueprint | Code Refinement. The condensed production blueprint. | 12 pp |
| Document | Function | Extent |
|---|---|---|
| Search Graph Optimization | The on-page and off-page node model. | System |
| Stage30™ Entity RunBook | The procedure for building the entity graph. | 7 pp |
| Glossary + The Lexicon | The canonical vocabulary, defined once. | Reference |
| Brand Entropy Audit + Collapse Reference | The diagnostic instruments and failure taxonomy. | Diagnostic |
| Generation Prompt + google_ai_guide_vs_stage30 | The controlled application system, benchmarked against Google's AI guidance. | Tooling |
The method is built and measured on live client sites before it is published. It is currently in additional testing across other brands.
| Site | Record | Status |
|---|---|---|
| nocompromisegaming.com | Proof of concept. Documented +34% lift in AI conversion from a single page. | Implemented |
| milksandwich.com | Reference implementation. | Implemented |
| Additional brands | Diagnosis and staged rebuild. | In testing |
> More than 240 pages of formal specification across the core references.
> Plus the living Canon and the diagnostic instruments.
> Plus live client implementations, with additional testing in progress.
The corpus is proprietary and maintained internally. Excerpts are shared under engagement.
Attribution and External Sources
The methodology is original IP developed by John Barbush and Cast Iron LA. The market data the model is calibrated against is third-party and cited directly.
| Source | Finding used |
|---|---|
| GetPassionFruit / The Digital Bloom (2025) | Position 1 organic citation probability in AI Overviews is approximately 33%. |
| Ahrefs (Mar 2026) | Across 863,000 keywords and 4M+ AI citations, over 62% of AI citations come from outside the top 10. |
| Industry CTR analysis (2025–2026) | Organic CTR drops 58 to 61% when AI Overviews appear. Cited pages see 35%+ CTR lift. |
| Google Search data (Q1 2026) | Approximately 48% of queries now trigger an AI Overview. |