AI doesn't rank your brand. It resolves it. Or doesn't. Find out if you're being chosen and what's stopping the model.
No email. No credit card. No sales call. Just a look at how AI search sees you.
This report is built on Stage30™, a resolution methodology developed by John Otto Barbush and Luis Emilio Ramirez at Cast Iron LA (USPTO Application #4592722, patent pending). It comes from three decades of creative leadership across web, social, and brand architecture for clients including Honda, Hilti, and Discovery Channel.
AI doesn't rank. It resolves. Traditional tools measure visibility, whether your brand shows up. Stage30 measures resolution, whether the model selects your brand as the answer.
Your brand is scored across the three Stage30 pillars: Authorship (verifiable named authors linked to permanent identifiers), Entity (schema precision that makes you one resolvable entity in the knowledge graph), and Code Refinement (machine-readable structure that drops the model's inference cost to near zero). The three pillars create the Resolution outcome.
The AI Observation Log runs your brand's questions live against ChatGPT, Perplexity, and Gemini, so the report shows what the models actually return, not what we guess they would.
Reading your brand signals...
This takes about 30-45 seconds.
Specific facts about you that AI can't find on the open web. It leaves them out or fills the gap with a guess. Green means the fact is present where AI looks; orange means it's missing.
Your brand's questions asked live to ChatGPT, Perplexity, and Gemini. "Live" means we queried the model just now; "Predicted" means we're showing the expected answer.
The three things AI reads to decide who you are. Authorship: does it know who's behind the brand? Entity: can it tie you to one consistent identity, not confuse you with others? Code Refinement: is your site's structured data clean enough for machines to read you right?
Places where AI can see a signal about you but can't act on it. It spots the question and can't pick the answer. Each one is a point where a competitor gets chosen instead.
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AI doesn't rank. It resolves.
This report shows you what's stopping the model.
Want to see how you resolve against a competitor? Ask for a side-by-side.