- #602F00
- #8a4a10
- #c98528
- #f2e6d6
Example record · not a customer
How it works
You explain your brand once. After that, everything Jinn makes already knows it — no re-briefing, no drift.
Whatever you ask Jinn to make — a post, an ad, a strategy — it starts from the same working model of your brand, built from what your brand has actually published. No brief, no deck upload, no training period. This page shows you how, live.
01 Jinn learns your brand.
You never have to explain your brand to Jinn. It reads your site, your products, and what you've published, and assembles 346 brand signals into one working record. Unlike every other AI tool, you can open that record and read exactly what it learned.
Click into identity, palette, and voice to see the signals. Every signal is a real, named thing Jinn extracted — none of it is a prompt. Have brand guidelines Jinn should know about? You can edit your Brand DNA during onboarding, right after signing up.
Example record · not a customer
The schema underneath.
What Jinn goes looking for when it reads a brand: six field groups, 346 brand signals, every one a named field.
Identity42
Palette28
Voice71
Evidence96
Audience54
Competitors55
What the machine sees.
A raw slice of the record above — the field values Jinn extracted, as the pipeline reads them.
EXAMPLE · PALEO PRO DNA · NOT A CUSTOMER
“”
“”
02 It adopts
This is the moment most tools fake and Jinn can show. The same brief, run twice: the generic run is what any AI writes by default — competent, forgettable, could be anyone. The branded run was written from the record Jinn captured above, and the orb re-authors it in front of you.
Why the branded run sounds like the brand.
Nothing here is a style filter painted over a generic draft. Every line in the branded run traces back to a named signal in the record — five real traces, signal to effect.
EXAMPLE · PALEO PRO DNA · NOT A CUSTOMER
03 It works
Learning a brand is only worth something if the work shows it. This is a real Ghost draft composing in the voice the record defines — your cadence kept, your convictions in, your banned words enforced, not politely suggested.
“”
Never saysproprietary blendguilt-free
The pipeline behind the draft.
Nothing here is a filter on top of a generic draft. The record runs end to end.
01 record
Your record rides in: 346 brand signals assembled into the prompt.
02 compose
The draft is written against your cadence, your convictions, and your banned list.
03 checks
Every post passes voice checks before it gets published.
04 publish
End to end, across all four platforms.
Analytics is X-only today.
And Ghost is just one reader. The same record feeds every product: written posts, on-brand ads, visibility audits, strategy with receipts.
Models & infrastructure.
New AI models ship every few weeks, and you shouldn't have to care. Every job in the suite is automatically routed to the class of model it needs, and that routing is kept current as vendors ship new families — you never compare, configure, or fall behind. Jinn handles it for you.
The routing table.
Expensive models only where the work genuinely needs one, fast models where volume matters — so your plan buys results, not waste. Overrides are allowed, but every one is logged with a reason.
When a vendor ships a better model, the upgrade is one entry in one table — the whole suite moves at once. You wake up to better output without touching a setting.
One gateway, every call.
Every AI call in the suite passes through a single gateway. That one door is what makes every call accountable — here's what it does for you:
Go deeper.
Everything above has receipts. Five deep dives, each with its own page — every claim on this page traces back to one of them.
Why this matters now.
The old growth game was ranking on a page of blue links. The new one is being the answer an AI engine gives when a buyer asks. That traffic is still a sliver — around 1% of site visits today — but industry analyses find it converts about 4.4x harder than an organic search click, up to 23x for B2B software, and roughly 92% of it comes from ChatGPT alone. The brand the engines describe correctly wins the answer. Everything above is how Jinn earns that for your brand.
Third-party industry figures, not Jinn measurements. Volume, conversion, and share estimates from independent 2025-2026 analyses (Lantern, Pixis, Search Engine Land), compiled in our channel-evidence research. Directional, and every number carries the range shown.
Every Jinn product starts from your Brand DNA: your voice, visuals, products, and customers, extracted from your actual brand. Jinn learns once. Then it applies those learnings everywhere.