How do you keep your brand voice when AI generates the content?
Give the model real examples of your posts rather than an abstract description of your tone. Add a list of banned phrases, and have every piece reviewed before publishing: human approval remains the safeguard.
Key takeaways
- Real examples calibrate a model better than a list of adjectives such as “warm” or “professional”.
- A list of banned phrases removes most of the generic vocabulary.
- No generated content should go out without a human review.
Why isn't describing your tone enough?
Asking for a “professional but approachable” tone leaves a huge margin for interpretation, and two people would already write two different texts from it. A model then produces an average: correct, but interchangeable with any competitor.
Five to ten real posts, chosen among those that sound most like you, convey more than a page of description: sentence length, punctuation, vocabulary, level of familiarity.
What is a list of banned phrases?
It is the inventory of the phrasings your brand never uses: empty superlatives, worn-out hooks, generic industry expressions. It is often more effective than a positive instruction, because a model can reliably exclude things.
Should you review every piece of generated content?
Yes. A piece of content can match your tone and still be wrong about a fact, a figure or a commercial promise. The review covers accuracy as much as style.
How do you measure consistency over time?
Review a monthly sample without looking at the source, and check that you can tell your content apart from a competitor's. If you cannot, the reference examples need to be refreshed.
How does Suzzly calibrate the tone?
Brand DNA analyses your reference posts, your brand book and your guidelines to calibrate every generation. Each piece of content gets an “on-brand” score before publishing, and nothing goes out without your approval.
Suzzly generates, schedules and publishes your social content from your brand's DNA.
Join the waitlist