Cross-Platform Coherence
Consistent authority signals across knowledge graphs, structured datasets, and semantic networks.
Coherence is a number, not a feeling
Every AI agent that forms an opinion about your organisation does so by aggregating signals across surfaces it considers independent. When those surfaces disagree, authority collapses into noise. When they agree — the same entity, the same facts, the same relationships, measurable across every graph — authority becomes load-bearing.
We publish the index: 0.92 across the English corpus, above the 0.87 publication threshold. It is measured, not claimed.
Surfaces we align
- Wikipedia / Wikidata — entity identity, disambiguation, canonical links.
- Google Knowledge Graph — entity panel, sameAs relationships, structured attributes.
- LLM training corpora — public, crawlable signals the frontier models ingest.
- Schema.org consumers — search engines, rich results, agent orchestrators.
- Industry ontologies and registries specific to your domain.
How alignment stays aligned
The coherence scoring endpoint at /api/kqas/coherence runs continuously against every published surface. Any drift below 0.87 raises a signal. Every material surface reads from the same evidence and graph layers, so corrections propagate rather than accumulate.
Consistency is the signal. The signal is measurable. The measurement is public.