You might be seeing
- Content that sounds generic, or like it was written by five different people
- AI-generated drafts that need heavy rewriting
- A founder voice that doesn't scale beyond the founder
- Sales emails, website and social that feel like different companies
What's usually happening
Voice lives in a few people's instincts and never gets written down in a usable way. AI tools then default to bland "marketing speak," because nobody has taught them who you are.
How we do it
- Audit your existing content, plus the voices of competitors and customers
- Define voice attributes as "this, not that" spectrums
- Set tone by channel and context (website, sales, social, support, crisis)
- Build a vocabulary of words you use, words you avoid, and how you name product terms
- Package it as an AI-ready voice prompt for Claude, ChatGPT and Copilot
What you get
- Voice principles & spectrums
- Tone matrix by channel
- Vocabulary & style rules
- Before/after rewrites of 5 key assets
- AI system prompt & custom GPT/Claude project setup
- 1-hour team training
Timeline
2 weeks (one-time) · ongoing content QA (retainer)
Success looks like
Anyone on the team, or any AI tool, can produce a first draft that sounds like you, with 80% less rewriting.
Ways to engage
One-time project
Voice guidelines + AI prompt pack
Monthly retainer
Monthly content reviews and voice QA
Annual contract
Voice governance across all channels and new hires
Key takeaways
- Brand voice is the consistent personality in how you write and speak across every channel.
- Guidelines should be usable: "this, not that" spectrums, tone by channel and vocabulary rules.
- Packaging the voice as an AI system prompt cuts rewriting of AI drafts dramatically.
Pairs well with
Frequently asked questions
What is a brand voice?
How do you make AI write in your brand voice?
Is this only for marketing?
Do you set up our AI tools?
Can we keep the founder's voice?
Written by Manika Gupta · Last updated 2026-10-13