Consensus patterns
Consensus patterns are recurring formulations AI systems repeat when describing a market, standard or supplier.
Definition
Consensus patterns are formulations that AI systems repeat when answering similar questions about a technical market.
What it reveals
A consensus pattern does not always indicate business truth. It indicates what the documentation corpus makes probable: cited standard, required evidence, associated supplier, retained risk.
Use in the audit
Beyond Mentions extracts these patterns to understand whether the market raises the standard or normalizes a requirement level that is too low.
What to retain before using it.
What does a consensus pattern measure?
It measures recurring AI formulations that can become implicit criteria for the buyer.
Is it proof of technical truth?
No. It is evidence of documentation probability: what AI is likely to repeat.
Why extract it?
Because these patterns reveal which standards, risks and evidence requirements already structure market perception.