Brand DNA is a working record of a brand that an AI system can read and act on: named signals extracted from what the brand has actually made, not a prompt describing the vibe.
Why it matters
AI output sounds generic because most systems start from nothing. They get a URL and a sentence of instruction, and they fill every gap with the average of everyone.
A record changes that. When brand truth lives in named signals, on-brand stops being an opinion and becomes something a system can check and enforce.
That is the difference between a style filter and a source of truth. A filter adjusts the surface after the work is done. A record grounds the work before it starts.
How Jinn treats it
Jinn treats a brand as a record, not a vibe. It reads what the brand has actually made and structures the signal into 346 brand signals across six groups: identity, palette, voice, evidence, audience, and competitors. Every signal is named and inspectable.
Every Jinn product reads that same record instead of guessing, so outputs trace back to the signals they were built from. Claims carry their provenance, and when the record cannot back a statement, the honest move is to say so rather than improvise.
The record schema is public: How it works renders it, group by group. See it
Related terms
Vocabulary is the map. The record is the territory.
Every definition in this dictionary leans on one thing: a brand modeled as a working record. See how Jinn builds one.