citability.dev · EntityMap

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.

A platform that measures whether AI can find, recommend, and cite you, centered on prompt-based audits, signed receipts, model-version pinning, competitor comparison, and AVR scoring.

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.

citability.dev runs the AI Visibility Readiness Framework on your domain. The Framework (acronym AVR) measures three components, Visibility, Recommendability, and Citability (VRC), and rolls them into a single AVR Score (0-100). Every score drills down to the raw model run, version, prompt, extracted citations, classification logic, and hash.

AI Visibility Readiness Framework · public trust surface. Every AVR Score must be reconstructable from receipts.

Free Scan ($0): Where do you stand right now? 18 infrastructure and content checks plus a live citation check across ChatGPT, Claude, Perplexity, and Gemini, in about 60 seconds. No card and no call. Deliverable: an AI Visibility Score with the failing signals named.

AI Visibility Monitoring ($49/month, or $490/year): A scan is one moment in time. Monitoring checks the site every day and re-runs up to ten of your buyer questions every month, so a drop in citations reaches you before it costs a deal. Deliverable: daily llms.txt, robots.txt, schema, sitemap, and canonical checks plus a monthly citation delta across four engines. Cancel anytime.

Citation Gap Diagnostic ($1,500 for a founder or small business, $3,500 for a team or agency, one-time): Does AI name you or your competitor? Your real buyer questions run live across the engines, with the word-for-word answers attached so every number can be checked. Deliverable: a gap score (cited in N of 8 questions), the competitors named in your place, 5-7 prioritized fixes written for a web team, and a 30-minute call to walk through it.

AI engines weight cited sources by entity recognizability. If your Person, Organization, or Product is not in Wikidata, has no Wikipedia mention, and lacks consistent author bios across LinkedIn / GitHub / Crunchbase / your domain, the engine treats your URL as a low-trust citation candidate. Even with perfect on-page structure, low entity authority caps your citation rate at the visibility floor.

Your visibility score is healthy (40%+) but your citation rate is under 15%.

Built by Chudi Nnorukam as an operator-facing evidence layer for AI-answer visibility, recommendation quality, and citation proof.

citability.dev exposes WebMCP agent tools (run_citability_scan, request_audit, get_audit_result, list_audit_tiers) at /.well-known/webmcp and /api/webmcp so AI agents can call the audit, not only read about it.