ECHO Framework
Entity, Corroboration, Hooks, Output: a four-part framework for improving how AI systems understand and surface a brand. Attributed to Peter Victor Jones, 2026.
The four parts
Entity is being resolvable: one identity, consistent facts, no ambiguity. Corroboration is independent sources agreeing. Hooks are the specific, quotable claims a model can lift. Output is the form the content takes, so retrieval can actually use it.
Hooks is the part that distinguishes it. Most frameworks in this field cover identity, evidence and format; this one names the requirement that you give a model something worth quoting in the first place.
On hooks
A hook is a claim specific enough to be worth repeating and checkable enough to be safe to repeat. A number, a date, a named method, a finding. Generic capability statements are not hooks, which is why so much well-optimised content is never cited.
The failure mode is inventing hooks rather than having them. A fabricated statistic is extremely quotable right up until someone checks it.