See where your AI Readiness ranks against your peer cohort
A single readiness score is useful; a relative one is sharper. LyraMind benchmarks a name's AI Readiness against its peers, with the cohort drawn from the knowledge graph and every peer score read from the ledger of reports already run.
The problem
Knowing your filing scores a 62 on AI Readiness raises the immediate question: compared to what? If your peers all clear 78, that gap is the story. Without a cohort view, a readiness score floats in isolation and you cannot tell whether your disclosure reads clearly relative to the names you are compared against.
How LyraMind does it
Call benchmark with a symbol. LyraMind pulls the peer cohort from the Financial Knowledge Graph (peers, plus names sharing an ETF or sector) and reads each peer's latest AI Readiness from the Trust Ledger of reports already run. It returns your score against the cohort average, your rank and percentile, the most clearly explained name in the cohort, and the most misunderstood.
What you get
A relative readiness readout: your score versus the cohort average with the signed gap, your rank of N and percentile, and the clearest and most-confusing peers named. It compares machine-legibility scores of public disclosures, not securities, and it is not advice or a prediction.
- Call benchmark with a ticker
- Cohort drawn from the knowledge graph (peers, ETF, sector)
- Peer scores read from the ledger of readiness reports already run
- Your score vs cohort average, with the signed gap
- Rank, percentile, clearest and most-misunderstood peers
- Pair with history for the same name's readiness trend
Questions
What if my peers have no readiness scores yet?
The benchmark says so honestly and returns available: false, pointing you to run AI Readiness reports across the cohort first. The benchmark is a read over scores that already exist.
Where does the peer cohort come from?
The Financial Knowledge Graph: seeded peers plus names that share an ETF or sector. In the demo this is a curated seed; live sources merge over it when configured.
Is this ranking securities?
No. It compares machine-legibility scores of public disclosures across a cohort, not the securities themselves. It is not advice or a prediction.