S01
Scan
Search the talent profile, confirm the match, and run a verified AI discovery audit against public sources.
SpotifyWikipediaOfficial sources
Signalised AI analyticsfor talent.
Signalised measures how talent appears in its current approved AI discovery benchmark, then compares each observed result with real, named peers.
Verified benchmark queriesReal peer rankingsDated audit history
How it Works
From unranked to discoverable.In four steps.
S02
Benchmark
See how talent ranks against real, named peers in Signalised's current approved benchmark.
AI PresencePeer ranking
S03
Prioritise
Every gap becomes a ranked opportunity: which discovery cluster to win next, and why it matters.
OpportunitiesEvidence-backed
S04
Monitor
Compare AI Presence and rank across clearly dated audits. Refresh profile evidence when the underlying public sources need updating.
Dated historyEvidence refreshes
Start auditing
Observed in Signalised's current approved benchmark
Directional and repeatable within the stated benchmark version.
Core Capabilities
Visibility. Ranking. Evidence.
The AI discovery analytics platform for talent. Each feature supports the same workflow: measure how AI discovers talent, benchmark it against real peers, and trace every number back to a verified source.
AI Presence
Measured78%
Discovery analytics
AI Presence
A single score for how often, and how highly, talent surfaces across the approved benchmark queries measured for that audit.
Mention rate vs. peers
Benchmarked62%
Peer-verified
Benchmark Ranking
Every result is ranked against real, named peers pulled from the same benchmark run, never a synthetic estimate.
Evidence Trust
Measured92%
Source-backed
Evidence Quality
Every score traces back to verified sources, Spotify, Wikipedia, Wikidata and official channels, so nothing is a black box.
Audit history
Track How AI DiscoveryChanges Over Time.
Each audit records its measurement date. Compare AI Presence and rank across compatible audits, and refresh profile evidence only when its public sources need updating.
AI Presence HistoryRank HistoryEvidence RefreshesCluster Coverage
AI Presence History
DatedToday72% +4
2 weeks ago68% +2
1 month ago63% +5
Platform Coverage
Music first. Carefully expanding.
AI discovery analytics for music today, with film & TV and publishing in early access and further talent verticals planned.
SProduction beta
Music
Artists & bands
SEarly access
Film & TV
Actors & talent
Request accessSEarly access
Authors
Literary talent
Request accessSLimited access
Creators
Influencers & creators
SLimited access
Athletes
Sports & public figures
FAQ
Frequently asked questions.
What does Signalised actually measure?+
How often, and how highly, a talent profile appears in Signalised's current approved discovery benchmark, compared with real, named peers on the same queries.
How should I interpret the benchmark?+
Results are directional and repeatable within the stated benchmark version. They are not a measure of every AI model or every possible prompt.
Where does the evidence come from?+
Every score traces back to verified public sources, Spotify, Wikipedia, Wikidata and official channels, so every number is explainable rather than a black-box estimate.
Which talent verticals are supported?+
Music is available as a production beta. Film & TV and publishing are in early access, while creators, athletes and public figures remain limited to eligible users.
How current is the data?+
Every result shows its audit date. AI Presence and rank reflect the benchmark evidence measured for that audit; profile evidence can be refreshed when its public sources need updating.
Can I try it before committing?+
Yes, run a free AI discovery audit on any talent profile to see your current visibility, ranking and evidence quality before choosing a plan.
The Window is Closing
AI is deciding whogets discovered.
Discovery systems increasingly shape which talent is surfaced. Signalised provides a controlled benchmark so teams can see the evidence instead of relying on assumptions.
Each observed result is compared with real peers in the same benchmark version, showing where AI discovery stands and what to improve next.