Who
Built by Chudi Nnorukam as an operator-facing evidence layer for AI-answer visibility, recommendation quality, and citation proof.
citability.devFree auditAbout · founding rationale
citability.dev exists because AI answers changed the discovery surface faster than analytics changed with it.
Traditional SEO tools tell you where a blue link ranks. They do not tell you whether ChatGPT recommends you, whether Claude cites your docs, whether Perplexity links a competitor, or whether Gemini silently omits your brand.
What
A forensic telemetry platform centered on prompt-based audits, signed receipts, model-version pinning, competitor comparison, and AVR scoring.
Why
Because high-intent AI answers are now a distribution channel, and most teams still cannot inspect what those systems say about them.
Design principle: evidence over claims.
The product is intentionally not a bright growth dashboard. It is a trust surface. Metrics summarize risk. Receipts prove it. Every higher-level view must drill down to model output, extraction logic, and sourceable proof.
receipts firstversion pinningreplayable scorespublic verification
Thirdi / trust layer
The broader direction is to build machine-readable trust and attribution surfaces for the AI-visible web, with citability.dev acting as the measurable proof engine.
Open references
Methodology, proof model, and data-source policy are public. The machine-readable transparency schema lives at /.well-known/citability.json.