Three pieces of content in your actual brand voice: a blog post, an email newsletter, and a social media caption series — all created with AI in under 20 minutes total.
The Brand Voice Problem
Run an AI-generated marketing article through any AI detector and it'll flag it. More importantly, your audience will feel it — the corporate stiffness, the lists for everything, the endless "In today's fast-paced world..." openers.
The solution isn't avoiding AI. It's training AI on your actual voice before you ask it to write anything.
Three things that make AI content sound like AI:
- Generic structures: Introduction → 3 bullet points → conclusion. Human writing meanders, backtracks, and makes unexpected turns.
- Hedged language: "It's important to note that..." "One might consider..." Real brand voices are direct.
- Enthusiasm inflation: "Revolutionary," "game-changing," "transformative." Words that mean nothing.
The fix: Give AI your actual writing as examples. Explicitly tell it your brand voice rules. Then edit the output as if you wrote it yourself — because you're responsible for it either way.
Brand Voice Training
Before asking AI to write anything for your brand, spend 5 minutes defining your voice. This becomes your "voice primer" that goes into every marketing prompt.
Brand: [your brand name]
Audience: [who you're writing for]
Tone: [3-5 adjectives: e.g., direct, warm, no-nonsense]
We sound like:
- [example of language you use]
- [another example]
We never:
- Use corporate jargon like "leverage synergies"
- Start sentences with "In today's..."
- Use exclamation points (except sparingly)
Sample of our actual writing:
[paste 100-200 words from your best content]
Match this voice exactly in everything you write for us.Copy this primer and paste it at the top of every marketing prompt. Over time, refine it as you notice what's still off-brand in AI outputs.
Build Three Content Pieces
With your voice primer ready, let's create three content pieces. Each uses the same base: your voice primer + specific content brief.
Blog Post. Prompt structure:
[paste your voice primer]
Write a blog post on:
Topic: [specific topic]
Angle: [what perspective or argument you're making]
Target reader: [specific person, not general audience]
Desired feeling after reading: [informed? motivated? relieved?]
Length: ~600 words
Don't include: [anything you want to avoid]Email Newsletter. Same primer, different brief: subject line options (5 choices), preview text, body (200 words), one clear CTA.
Social Caption Series. Ask for 7 captions on one topic — one for each day, varying format: question, list, statement, story, stat, tip, CTA. This gives you a week of content from one prompt.
Edit like you wrote it. Read the AI output aloud. Anything that sounds wrong — change it. This is still your content. AI got you 80% of the way there; your edit makes it 100%.
What You Learned Today
- What makes AI content sound like AI — and the three patterns to eliminate
- How to create a brand voice primer that trains AI to write in your voice
- The blog + email + social caption prompt structures for consistent output
- Why editing AI output is still essential — and what to look for
Go Further on Your Own
- Write a voice primer for your brand (or a brand you're working for). Share it with a colleague and ask: does this sound like us?
- Generate 7 social captions using the series prompt, then rate each 1-10 for how on-brand they feel. What patterns do you notice in the lower-rated ones?
- Take AI-generated content and run it through two edits: first for brand voice, then for factual accuracy. Track how much changes.
Nice work. Keep going.
Day 2 is ready when you are.
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