Most brand voice docs are platitude collections nobody references. A useful voice doc has 3-4 anchor adjectives, axes (formal ↔ casual, expert ↔ approachable), and worked examples for the same sentence in voice and not-in-voice.
Who this is for
Founders codifying voice, marketing leads handing off to contractors, content teams onboarding writers, devrel leads aligning tutorials.
When not to use these prompts
Don’t use these for trademark / legal style guides. Don’t use them when leadership won’t commit — voice docs need a champion.
Prompt anatomy / structure formula
Every voice prompt should carry six elements:
- Audience: one specific reader.
- Goal: one outcome — read / click / agree / share.
- Voice: 2-3 anchor adjectives, optional sample line.
- Constraints: word count, banned phrases, must-include facts.
- Format: paragraph, bulleted, headed, table.
- Examples: 1-2 tone samples — best lever for matching voice.
Best for
- Initial voice extraction from existing copy
- Anchor-adjective lists
- Worked-example library
- Do / Don’t lists
- Voice audit on shipped content
12 copy-ready prompt templates
1. Voice extraction from samples
Read these 5 samples of our best-performing content: {samples}. Extract: (1) 3-4 anchor adjectives (one positive, one constraint, one differentiator), (2) sentence-length pattern, (3) word patterns we lean on, (4) words we never use. Output as a draft voice doc.Variables to swap: samples
2. Tone axes
Define 4 tone axes for `{brand}`: (a) formal ↔ casual, (b) expert ↔ approachable, (c) serious ↔ playful, (d) bold ↔ measured. Place a dot on each axis with one-sentence rationale. Pin extremes that are OFF-LIMITS (e.g., never sloppy, never preachy).Variables to swap: brand
3. Anchor adjective triangulation
I think our voice is `{adj1}`, `{adj2}`, `{adj3}`. Stress-test: (1) Name a brand for each adjective — does it match the company we want to be? (2) Replace one adjective with a sharper synonym if vague. (3) Add a fourth that constrains (e.g., "never glib").Variables to swap: adj1, adj2, adj3
4. Worked-example library
For each anchor adjective, produce 3 example pairs: same meaning, version A is in-voice, version B is not. Annotate why A is in-voice. Use real product examples, not "lorem".5. Do / Don’t list
Write 8 do / 8 don't items for our voice. Each ≤ 12 words. Don'ts must be specific (not "don't be unclear" — instead "don't hedge with maybe / probably"). Pair each do with an example.6. Persona-specific voice
Define how voice shifts for: (a) marketing copy, (b) docs, (c) error messages, (d) support replies, (e) social posts. Anchor adjectives stay; tone axes can shift. Map each context to a dot on the axis.7. Voice audit on shipped content
Audit these pieces against our voice doc: {pieces}. For each: (a) in-voice score 1-5, (b) one line saying what's off, (c) one suggested rewrite. Skip pieces already at 5.Variables to swap: pieces
8. Voice doc one-pager
Compress our voice doc to a 1-page reference card: 3 adjectives, 4 axes (with dot positions), 5 do, 5 don't, 2 worked examples. Goal: a freelancer can match voice on first try.9. Translating voice across languages
Our brand voice in English is `{voiceSummary}`. Define how it should adapt in `{secondLang}`: which adjectives translate directly, which need a different anchor (e.g., "playful" in English ≠ "playful" in business Japanese), which forbidden words.Variables to swap: voiceSummary, secondLang
10. Voice for crisis / serious comms
Define voice variants for: (1) routine, (2) celebration / launch, (3) apology, (4) outage / serious. Each: tone axis position + 2 sample phrases. Apology voice must drop the "playful" anchor if any.11. Voice training prompt for AI tools
Turn our voice doc into a system prompt I can paste into Claude / ChatGPT / Cursor so AI output matches voice. ≤ 400 words. Include: anchor adjectives, axes, 3 worked examples, banned phrases.12. Voice drift detector
Read these 10 recent pieces. Detect drift: (1) Pieces straying off-axis, (2) Author writing in their personal voice vs brand voice, (3) Newer pieces using banned words. Output a drift report + 1 fix per piece.Common mistakes
- Vague audience — “anyone who…” — output reads generic.
- No tone anchor — every variant comes back same flavour.
- No constraints — word count, banned phrases, length cap.
- Skipping examples — examples are the strongest signal for voice.
- Trusting first draft — AI lands on the safe middle.
- Overusing AI clichés (“In today’s fast-paced…”, “Unlock the power of…”).
- No edit pass on facts — output sometimes confidently wrong.
How to push results further
- Always supply 1-2 tone examples; “be friendly” alone is noise.
- Constrain ruthlessly — word count, banned phrases, must-include facts.
- Read aloud before publishing — if you stumble, rewrite.
- Cut adverbs and adjectives that don’t carry weight.
- AI for first 2 drafts, human edit for the third — and the third is what ships.
- Anchor in a real person from your customer list.
- Test the headline by reading it without the body — does the message survive?
Practical depth notes
Use these prompts as starting points, not final answers. For Brand Voice Definition Prompts for a Usable Voice Doc, the useful extra work is to replace every generic placeholder with a real constraint: audience, channel, length, brand voice, examples to imitate, and examples to avoid. Run at least two versions with different constraints, then compare the outputs side by side instead of accepting the first polished response.
A good result should pass three checks: it is specific enough that another person could reuse it, it avoids vague praise or filler, and it gives you an editable artifact rather than a broad suggestion. If the output feels generic, add one concrete reference, one forbidden pattern, and one measurable success criterion before rerunning the prompt. One final check: compare the finished result against the original goal in a single sentence. If that sentence is hard to write, the output is probably polished but unfocused. Tighten the goal, remove decorative language, and rerun only the weak section instead of regenerating the entire piece.
FAQ
- How long should the voice doc be?: 1-3 pages. Beyond, it becomes a museum.
- Should voice differ per channel?: Axis position can shift; anchor adjectives stay constant.
- How do I get the team to actually use it?: Voice doc + worked examples + one weekly audit shared in the team channel.
- Can AI maintain voice?: With a paste-ready system prompt (template 11), yes for first drafts.
- How do I know my voice is working?: Outsiders can read three pieces and tell they’re from the same company.
- When to refresh?: Yearly, or when audience / market shifts significantly.
Related
- Brand story prompts
- Tone rewrite prompts
- Homepage copy prompts
- Article rewrite prompts
- How to Write a Brand Tone Guide With AI (1-Page Template)
- Writing & Copywriting Prompts hub
Tags: #Prompt #Writing #Brand voice