Best for
- Teams using AI to produce more content but worried about quality drift
- Marketing leads who review too many AI-generated drafts manually
- B2B companies with strict tone, compliance, or claim accuracy requirements
Create a repeatable review workflow that catches generic AI writing, off-brand claims, banned phrases, tone drift, and approval risks before content goes live.
Build a brand voice QA system with voice rules, banned phrase checks, review prompts, scoring, and an approval workflow for AI-generated GTM content.
Quick view
Check the audience, core tools, and access before you start the detailed steps.
Best for
Core tools
5 tools used across the workflow.
Access
Preview the open steps, then unlock the remaining implementation details and prompts.
Why this works
AI content quality usually fails in review, not generation. Without a clear QA layer, every reviewer fixes tone, structure, and claims differently, which creates inconsistency. This workflow turns brand voice into a practical checklist and scoring system so AI content can move faster without sounding generic or risky.
Expected results
Review consistency
Shared QA checklist
Reviewers use the same voice, claim, and approval rules instead of giving subjective feedback on every draft.
Time saved
3-5 hours per week
Reusable prompts and checklists reduce repeated manual edits across blog posts, emails, social posts, and landing pages.
Quality control
Fewer generic AI drafts
The workflow catches banned phrases, unsupported claims, and structural patterns before content reaches final review.
Reusable system
Monthly update cadence
The QA library improves over time as reviewers add new banned patterns and examples from real content.
Step-by-step workflow
The first 3 steps are open. Pro unlocks the remaining steps, copy-paste prompts, pro tips, tool-by-tool setup guidance, and implementation details.
45 min
45 min
Gather 8-12 examples of content that sounds right: website copy, founder posts, product launch emails, customer stories, sales decks, and high-performing LinkedIn posts. Put them in Google Docs with notes on why each example works. Also collect 5 examples that do not sound right so the QA system learns what to reject, not just what to imitate.
A source set of approved and rejected brand voice examples.
Bad examples are just as useful as good ones. They make the quality bar concrete instead of relying on vague feedback like 'make it less AI.'
30-45 min
30-45 min
Use Claude to analyze the examples and produce practical voice rules: sentence length, tone, vocabulary, structure, level of directness, proof requirements, and banned patterns. Convert the output into a simple one-page reviewer guide.
A one-page brand voice QA guide with positive rules and reject patterns.
Do not let the guide become philosophical. If a rule cannot help someone edit a sentence, it is too vague.
Analyze these brand voice examples and create a practical QA guide for AI-generated GTM content.
Approved examples:
{{approved_examples}}
Rejected examples:
{{rejected_examples}}
Brand context:
{{brand_context}}
Output:
1. Voice summary
2. What the brand should sound like
3. What the brand should never sound like
4. Sentence and structure rules
5. Words and phrases to prefer
6. Banned phrases and patterns
7. Claim/proof rules
8. 10-point QA checklist
Make this specific enough that a junior marketer can use it to review AI drafts.30 min
30 min
Build a list of phrases, structures, and claims you want to catch automatically. Include generic AI phrases, overused openings, unsupported superlatives, filler transitions, vague transformation claims, and words your brand would never use. Store the list in Notion or Google Docs so it can be updated every month.
A banned phrase and structural pattern library for content review.
Include structure-level patterns, not only words. Phrases like 'in today's fast-paced world' are obvious, but repeated three-part generic structures are often what make AI content feel fake.
Pro workflow preview
Previewing 3 of 7 steps
Get the remaining 4 steps, copy-paste prompts, pro tips, tool-by-tool setup guidance, and ongoing workflow and prompt releases.
$9/month
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