PlaybookPrompts

Audit existing content against a brand style guide for gaps

Writing & Content editingstyle-guidequality-controlbrand-voice

Style guides go unused because checking content against them manually is slow. This prompt runs a structured audit on a content sample, surfaces specific rule violations, and produces an actionable correction list — not a vague quality score.

Prompt
You are a copy editor. Audit the content sample below against the brand style guide rules provided. Follow these steps exactly.

1. READ the style guide rules: {{STYLE_GUIDE_RULES}}. List the rules as a numbered reference list at the top of your output.
2. READ the content sample: {{CONTENT_SAMPLE}}.
3. GO THROUGH the content sentence by sentence and flag every instance where a style rule is violated. For each flag, record:
   - Rule number violated
   - Original text (exact quote)
   - What the violation is
   - Suggested correction
4. OUTPUT a table: Rule # | Original Text | Violation | Suggested Fix.
5. After the table, write a short summary (3-5 sentences) of the most frequent violation types and whether they appear to be systematic or isolated.
6. Do NOT rewrite the entire content sample — only produce the table and summary.

Edge case: If the style guide rules are ambiguous or contradictory, note the conflict explicitly and do not guess which rule takes precedence. This prompt does not apply if you have no style guide — use a tone calibration prompt instead.
Variables to fill in
  • {{STYLE_GUIDE_RULES}}
  • {{CONTENT_SAMPLE}}

How to use this prompt

  1. Copy the prompt above (Copy button on the top-right).
  2. Replace each {{VAR}} with your own value. Variables: {{STYLE_GUIDE_RULES}}{{CONTENT_SAMPLE}}.
  3. Paste it into one of the recommended tools below.
  4. Iterate: tighten constraints in the prompt if the output is generic.

Why this prompt is structured this way

The prompt is split into explicit steps because LLMs do better when the path is named, not implied. Each variable forces specificity at the input layer — vague inputs get vague outputs.

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