Using Your Brand Intelligence with AI
Exactly what Brand Brain, Brand Identity, Voice & Tone, and Audience data gets assembled and handed to AI — and why a stronger setup produces better output.
Exactly what's included
- Brand Brain — niche, positioning statement, key differentiator, brand promise, personality traits, creator strengths, audience pain points, opportunities, and risks.
- Brand Identity — manifesto, visual style, and imagery style.
- Voice & Tone — tone, writing style, personality, approved and forbidden lexicon, communication principles, and your rigor setting.
- Audience — your primary persona's name, description, problems, needs, goals, motivations, and content preferences.
- Content pillars — each one's name, share, and description.
- Recent content — your last several content items, with status, platform, and retention score where available.
- Connected platforms — which are connected and when each last synced.
- Real performance — your last 30 days of results, overall and broken out per platform, when that data exists.
This is a direct account of what the code assembles — not every field is guaranteed to be present for every account. Whatever you haven't filled in is simply left out of the context rather than replaced with a placeholder.
Why a stronger setup produces better output
An AI generation is only as specific as what it's grounded in. An account with no Brand Brain gets ideas and drafts with nothing to anchor them; a filled-in niche, positioning, and pillars give every generation a real point of view. The same applies field by field — audience pain points sharpen what problems content addresses, and personality traits and Voice & Tone dials shape how everything sounds.
How Voice & Tone specifically affects output
Your tone dials, writing style, and personality are included verbatim in every generation's instructions, your approved lexicon is called out for reinforcement, and your forbidden lexicon is called out for removal — confirmed directly in the rewrite tool, which explicitly rewrites out anything on that list.
How Audience specifically affects output
Your primary persona's problems, needs, goals, and motivations are what Content Ideas is instructed to address when generating a batch — each idea is asked to map to a real content pillar and a real audience problem, not a generic one.
Where AI features differ from each other
The context is shared, but the instructions layered on top of it differ by feature: Content Studio's tools are told to produce concrete drafting material (hooks, titles, rewrites); the AI Brand Strategist is told the opposite — to stay strategic and avoid producing publishable copy unless explicitly asked. Same brand intelligence, different jobs.