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Signalised audits how ChatGPT, Claude, Gemini, Perplexity, and Grok represent your talent. The current focus is validated scans, provenance, authority resolution, and trustworthy dashboard intelligence before AI strategy recommendations are opened broadly.
Enter any talent's name. We simultaneously query ChatGPT, Claude, Gemini, Perplexity, and Grok — building a complete AI perception report with observed model behaviour and consensus analysis.
Every score and issue traces back to observable evidence. See exactly which sources AI models reference, where they disagree, and what factual drift exists between model outputs.
Promote only trusted scan outputs into the dashboard. Failed providers, quarantined scans, and unverified authority gaps are separated from confirmed evidence before any recommendation is shown.
The operating system for AI reputation management. Every feature supports the same workflow: understand what AI models believe, trace it to evidence, fix the gaps, and watch for changes.
Observed model behaviour
See exactly how ChatGPT, Claude, Gemini, Perplexity, and Grok represent this entity. Full output capture with consensus scoring and disagreement detection.
Source authority verification
Every insight traces back to observable evidence. Verify which sources AI models reference, check freshness, and confirm authority — no fabricated outputs.
Operational action system
Detected issues are paired with concrete, evidence-based fixes. Each recommendation includes implementation steps, difficulty rating, and expected impact — ready to execute.
AI model behaviour shifts as training data and knowledge graphs update. Signalised monitors these changes, alerting you to meaningful shifts in representation, consensus, and source authority — not noise.
AI Reputation & Discoverability for music, sports, film, and publishing — each with dedicated audit pipelines, canonical profile management, and vertical-specific authority sources.
Spotify, Apple, and YouTube have already embedded AI ranking systems into discovery. The talent who appear in AI recommendations aren't necessarily more skilled, they have cleaner canonical data and stronger source authority.
ChatGPT, Gemini, and Perplexity are now cited in press coverage, booking conversations, and research. If these models have wrong information about you, it costs you opportunities you'll never see.
The EU AI Act mandates transparency for training data, your public profile needs to be audit-ready. Talent who establish canonical identity now will own the narrative. Everyone else plays catch-up.