The Brand DNA record.

What Jinn actually knows about your brand.

Every AI tool claims it “learns your brand.” Jinn can show you exactly what it learned: 346 brand signals in six groups, every one a named entry you can open and read. This page is the breakdown — what each group holds, where Jinn reads it from, and what the machine sees when it works for you.

A Brand DNA record is built from what your brand has actually made — its site, its products, its published work. All of it is real. None of it is a prompt.

At a glance.

What it is

One structured record of your brand: 346 brand signals in six groups, extracted from what your brand has actually published. Not a vibe, not a mood board — named entries with recorded values.

Where it comes from

Jinn reads your site, your products, and your published work. Nothing is invented, and nothing depends on you filling out a questionnaire.

What it feeds

Every Jinn product reads this same record: written posts, on-brand ads, visibility audits, strategy with receipts. Fix a fact once and every product picks it up.

Six field groups.

What each group holds.

The counts below are the record’s own group sizes, and the named signals in each group are the ones we publish openly. Together, the six groups hold the 346 brand signals.

Identity42 signals

  • name
  • category
  • founding story
  • positioning

Identity signals hold what your brand is made of: its name, category, founding story, and positioning. Jinn reads your about page, your origin story, and how your brand introduces itself when nobody is watching. This group anchors every other one — a voice without an identity is a costume.

Palette28 signals

  • primary
  • secondary
  • accent
  • usage rules

Palette signals turn your visual identity into usable rules: primary, secondary, and accent colors, each with rules attached. Jinn reads your live site and published assets and stores colors as named slots — which is why generated work can hold an exact hex, not an approximate vibe.

Voice71 signals

  • cadence
  • convictions
  • banned words
  • register

Voice signals capture how your brand talks and how it refuses to talk: cadence, convictions, banned words, register. Jinn reads your published copy at every register — product pages, posts, packaging lines — and stores the patterns as enforceable rules. Your banned words get enforced downstream, not suggested.

Evidence96 signals

  • claims
  • sources
  • proof points
  • receipts

Evidence is the largest group on purpose: your claims, sources, and proof points. Jinn records what your brand asserts and what actually backs it, so anything generated later cites a recorded fact instead of inventing one. This group is why outputs carry receipts, and it’s one of the major ways in which Jinn operates differently.

Audience54 signals

  • who
  • jobs-to-be-done
  • objections

Audience signals hold who your brand is for: who they are, what they’re trying to get done, and what makes them hesitate. Jinn reads reviews, testimonials, and the language your real customers use — and stores buyers as named segments, not one imagined persona.

Competitors55 signals

  • set
  • gaps
  • differentiation lines

Competitor signals map the market your brand sits in: the set, the gaps, where you genuinely differ. Jinn reads the category around your brand — so when it makes a positioning claim for you, it stands on a recorded edge, not a hunch.

Group sizes are read from the record taxonomy itself, so the numbers on this page cannot drift from the product.

The raw slice.

What the machine sees.

A real extracted record with the hood open — the values exactly as the pipeline reads them. This is the worked example used across these pages, not a customer.

identity
ancestral whole-food protein · Explorer archetype
voice
direct · minimalist · all cow, no bull
voice.banned
"proprietary blend" · "guilt-free"
evidence
founder rebuilt his body with real food after a life-altering accident
audience
carnivore devotees · gut-conscious achievers · 18-65
competitors
mass-market whey benchmarks · organ capsule leaders
palette
#602F00 · #8a4a10 · #c98528 · #f2e6d6

EXAMPLE · PALEO PRO DNA · NOT A CUSTOMER

That is one worked example. Jinn builds the same record from your brand. See your own record

Signal to output.

Every output traces back to the Brand DNA.

When a Jinn product writes a line, picks a color, or refuses a word, you can ask why — and get a real answer. A banned word in your voice group blocked that phrase. A positioning signal in your identity group shaped that claim. A recorded proof point backed it.

That is the point of holding your brand as named signals instead of a prompt: it is inspectable in both directions. Open the record and see what Jinn learned; take a finished output and trace every line back to the signal that produced it.

The boundary.

What this page shows, and what it doesn’t.

The signal names on this page are the ones we publish; the full field list is the product itself.

What you see here is real and really named — what stays private is the rest of the list and the extraction know-how that fills it.

Where the record goes.

Keep exploring how Jinn works.

Now that you’ve seen the record, see what runs on it. Take the full tour, or go straight to models & routing, guardrails & spend, measurement discipline — or check the record’s trust machinery yourself.

  • The full tourThe mechanism end to end: how Jinn learns, wears, and works a brand.
  • Models & routingWhich model does which job, and why you never have to care.
  • Guardrails & spendThe fixed rules that guard your money and your name.
  • Measurement disciplineThe bar our own numbers must clear before we show them to you.
  • Check it yourselfWhat “verified” actually means here: human approvals, recorded history, and facts that age on purpose.
Questions

The record, answered.

How is a Brand DNA record built?
Jinn reads your strongest branded channel — your site, your products, your published work — and assembles 346 brand signals into six groups: Identity, Palette, Voice, Evidence, Audience, and Competitors. Every signal is a named entry with a recorded value.
Can I see my own brand’s record?
Yes. The free brand read takes your URL and shows you an instant read of what Jinn extracts, with the full report sent to your inbox. No credit card.
Is the record just a prompt?
No — and the difference matters to you. A prompt is instructions; the record is data about your brand. Because each signal is a named entry, you can trace any generated line back to the signal that produced it — try doing that with a prompt.
Why six groups?
Because a working model of your brand has to answer six kinds of question: who it is (Identity), how it looks (Palette), how it talks (Voice), what it can prove (Evidence), who it serves (Audience), and where it sits (Competitors). The groups exist so every product reads the same shape.

Read from the brand you have actually made.

Everything on this page came from reading a real brand. Run the free read and see what Jinn extracts from yours.