Anyone can generate content. Only yours can sound like you.
Named author personas with real bios, photos, and expertise — each with a private writing-voice brief the AI follows on every draft. Extracted from your existing content or a LinkedIn profile, so it sounds like your people from day one.
A writing bench
Generic AI voice is the first thing readers notice. Authors give your content named, credible people — and the voice system makes sure every draft actually sounds like them.
- Personas, not just bylines — Each author has a name, photo, public bio, and area of expertise. Readers see a credible person behind the piece — not a faceless "Team" byline.
- A private voice brief per author — Behind every byline sits an editor-only writing-voice document the AI follows: style, subjects, depth, constraints. Readers see the prose — never the brief.
- Voice extracted, not invented — Connect a LinkedIn profile and the bio and writing voice are drafted from the real person. Your brand voice is analyzed from your existing content during onboarding. Existing briefs are never overwritten.
- Brand voice stays the floor — Site-wide voice guidelines, writing habits, and terminology still apply to every draft. Author voice layers the person on top of the brand — it never replaces it.
- In character on every channel — Pick an author on an article, a newsletter, or a social post — the same voice brief steers all of them, so a byline reads consistently everywhere it appears.
- Holds up on autopilot — When automation drafts without a named author, the platform prefers authors that have a writing voice — so even hands-off content sounds like someone, not something.
What it looks at
- Public bio — Third-person bio, photo, and social links shown on your site under every byline.
- Writing voice — Editor-only brief the AI drafts from: expertise, subjects, style, formats, depth, never-list.
- Brand voice — Site-wide voice guidelines and writing habits that every author builds on — set once in Settings.
- Podcast voice — Optionally give an author a spoken narrator voice for audio episodes — separate from the writing voice.
How it works
- Create your authors — Generate a full AI persona — name, photo, bio, expertise — or add a real person. Connecting LinkedIn drafts their bio and writing voice for you.
- Define each voice — Every author gets a writing-voice brief: expertise, subjects, style, preferred formats, technical depth, and a never-list. Draft it with AI or paste your own.
- Write as them — Pick the author on any article, newsletter, or social post. The AI loads their voice on top of your brand voice — and stays in character.
Included in every plan.
Authors and per-author writing voice are part of the brand voice system — every workspace gets them, on every content surface.
Give your content a voice worth recognizing.
Create your first author, define their voice once, and every draft after that sounds like your brand — not like an AI.
Frequently asked questions
How is this different from putting "write in a friendly tone" in a prompt?
A prompt line covers one generation in one tool, and it describes a mood, not a person. An author voice is a structured, persistent brief — expertise, subjects, style, formats, technical depth, and explicit constraints — stored with the author and loaded automatically by every generation path: articles, newsletters, and social. It layers on top of your brand voice rather than replacing it, so the person and the brand both survive every draft.
How much work is setup?
Minutes per author. Generate a complete AI persona in one step, or add a real person — connecting their LinkedIn drafts the bio and the writing voice automatically when those fields are empty. You review, adjust, and save. From then on, choosing that author on any piece of content applies their voice with no extra steps.
Can the AI drift from the voice, or invent things about our people?
The writing-voice brief is loaded into every generation as the instruction set for that byline, including a never-list of things the author would not say. It is also editor-controlled: LinkedIn import never overwrites a brief you have written, and bios are kept credible by design — no invented professional credentials. If a voice needs tightening, you edit the brief once and every future draft follows it.
Why does this matter commercially, not just stylistically?
Trust. Readers discount content that sounds machine-written and anonymous, and named expertise is what separates a publication from a content feed. Authors give every piece a consistent, credible person — which is also what lets you scale output without your library collapsing into one interchangeable voice.
We are a small team — do we really need multiple authors?
Even one well-defined author beats a generic byline, and most brands start there: one real founder or expert with a strong voice brief. As you grow, add AI personas for distinct beats — a technical explainer, an industry commentator — each with their own expertise and style, all still bounded by your brand voice. Rotating voices keeps a growing library from sounding like one person wrote everything in one afternoon.