Stage30 Results

Every brand run through the Stage30 methodology . What we shipped, and what moved.
Trademark application · U.S. trademark serial 99719523, published for opposition
Cast Iron LA · J. Barbush & Luis Ramirez
Updated Jun 2026 · figures first-party
6
Brands run through Stage
663
Canon rules
485
Enforced by a test
Engine-wired
Single source of truth

Measured results

No Compromise GamingConversion proof
AI-search conversion engagement
1.9×AI-referred applied vs site rate
11.7% of AI-referred visitors applied vs 6.17% site-wide · 206 AI sessions · $0 paid AI spend
What we did: full Stage build: canon vocabulary, staged surfaces, schema/entity layer.
First-party: NCG Stage Intelligence Report (2025). Verified set; the earlier +112% / 5.9→12.5% figures are retired.
Milk SandwichAI-visibility proof
milksandwich.com · Shopify
~5×sessions, Feb to May
99, then 533, then 742 sessions · Google now resolves the brand into rich results, Product snippets and Merchant listings, surfacing it as the answer, not a blue link to rank.
What we did: Airtable vocabulary source-of-truth, S-T-A-G-E page copy, JSON-LD entity graph, intent-cluster blog.
We don’t optimize to rank. We build to resolve. Legacy search followed anyway (page 2 to page 1): optimize for Larry, Gary follows. AI discovery arrives as “Direct” , deep-page landings are the fingerprint.

Authority spine & live engagements

Cast Iron LASelf-demonstration
castiron.la
The methodology applied to itself. The Journal publishes AI-synthesis content live; parent-org node of the entity graph.
Role: proves Stage30 works on the firm that built it. Crawlable, structured, citable.
J. BarbushAuthority node
jbarbush.com
Founder entity surface , links the people behind every brand into one graph (founder → org → clients).
Role: low traffic, high structural value , makes the machine trust who’s behind the work.
HiltiEnterprise diagnostic
North America · doc-library scale
Stage30 diagnostic delivered (v2) , proof-of-pattern across a large technical document library.
Stage: diagnostic shipped; library-transformation path scoped.
CatalantPipeline · POV
three-tier engagement POV
Brand Entropy Audit → Resolution Build → Collapse Workshop. Positioning and pitch surface built.
Stage: active pursuit , POV delivered.
How to read this. Green = measured conversion lift (NCG). Blue = traffic / visibility evidence (Milk Sandwich). Orange/grey = structural or in-flight. We don’t optimize to rank , we build to resolve: structure a brand so the model surfaces it as the answer. We report from Search Console + first-party analytics, and we do not invent a “% from AI” number , AI discovery lands as “Direct,” an industry-wide attribution gap. What we can prove: the machine resolving brands into rich results, traffic lift, a live crawlable entity graph , and legacy ranking following as the side effect (optimize for Larry; Gary follows).
Conversion proof Visibility / traffic Authority spine Pipeline / enterprise