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RUNLOCALAI · v38
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  6. /Ch. 3
Content Creation with Local AI

03. Brand Voice Definition

Chapter 3 of 16 · 15 min
KEY INSIGHT

Brand voice documentation combining explicit guidelines with abundant examples enables AI to consistently reproduce organizational communication patterns.

Brand voice encompasses the consistent personality traits, linguistic choices, and communication patterns that distinguish an organization's content. Maintaining voice consistency becomes increasingly challenging as content volume grows. Local AI tools can learn and reproduce brand voice characteristics when provided with appropriate reference materials and explicit guidance. This chapter explores methods for capturing and encoding brand voice for consistent AI-assisted content production.

The first step involves compiling thorough voice documentation. This documentation should include examples of on-brand content at varying lengths, explanations of what makes these examples effective, explicit statements of voice attributes (professional, conversational, authoritative, friendly), and guidance on handling sensitive topics or difficult audiences. The more detailed this documentation, the better AI can align with brand expectations. Simple bullet-point lists of adjectives prove less useful than concrete examples with explanations of why each example reflects the brand.

Training an AI on brand voice requires providing extensive examples rather than rules alone. Current language models learn patterns from examples more effectively than from abstract instructions. A content manager might feed the AI twenty well-performing articles with notes explaining how each demonstrates brand voice characteristics. This example-based training approach produces more reliable voice consistency than rule-based instructions.

Voice guidelines should address common scenarios where voice decisions arise. Contracted versus expanded language choices, technical terminology preferences, humor usage and boundaries, handling controversial topics, and appropriate formality levels all require explicit guidance. AI models often default to generic professional voice unless given strong direction toward specific brand characteristics. Explicit examples for edge cases help prevent AI from drifting toward neutral or inappropriate tone.

# brand_voice_config.yaml
voice_attributes:
  tone: conversational_but_informed
  personality:
    - approachable
    - technically_credible
    - genuinely_helpful
  language_preferences:
    contraction_use: always
    sentence_length: varied (5-25 words)
    paragraph_length: 2-4 sentences
    jargon_level: minimal, defined when necessary
  boundaries:
    humor: light, situational, never_at_user_expense
    opinions: stated_as_such, evidence_provided
    corrections: gentle, factual, non_defensive
EXERCISE

Create brand voice documentation for your own content or organization, including at least five annotated examples with explanations of voice characteristics.

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Content Planning with AI
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Writing First Drafts