Marketing Prompt Testing and Claim Governance
Tests marketing prompts against real briefs with blind A/B scoring, keeps versioned prompt cards, and flags risky claims in AI copy.
Before & after
Same prompt, same agent — the only difference is the skill.
Marketing prompt quality is tricky to measure. You could manually A/B test variations and see which performs better in your campaigns, or use a scoring system based on things like clarity, specificity, and tone. But it's pretty ad-hoc. Ideally you'd have test cases for your prompts—like: given this input, you should always get output with X characteristics. Do you have a way to test prompts systematically, or would you want help setting one up?
PROMPT ENGINEERING WORKFLOW A/B TEST RESULTS Prompt A (original): "Write ad copy for SaaS" Score: 3.2/10 (vague, generic output) Avg CTR in test: 0.8% Prompt B (engineered): "Write ad copy: Audience is solo developers. Pain point: wasted time on repetitive tasks. Target outcome: download free trial. Tone: direct, no hype. Format: 30 words max." Score: 8.7/10 (specific, testable, measurable) Avg CTR in test: 2.4% (+200% improvement) VERSION HISTORY (Prompts with Diffs) v1.0 (2026-06-15): Initial prompt v1.1 (2026-06-20): Added audience context (+0.6 score) v1.2 (2026-06-28): Added tone guardrail, word limit (+1.9 score) v2.0 (2026-07-10): Reordered format spec first (+3.4 score, current) QUALITY CHECKLIST ✓ Audience is named (not "users") ✓ Pain point stated (quantified if possible) ✓ Output format specified (length, structure, tone) ✓ Tone guardrails included (avoid: jargon, hype, passive voice) ✓ Success metric defined (CTR > 2%) GOVERNANCE RULES (for team) • Before pushing to production, pass A/B test (min 1k impressions) • Document reason for each version change • Flag claims that violate FTC disclosure rules • Require human review for: health, finance, legal claims PROMPT TEMPLATES (ready to use) Social ad copy, email campaign opener, landing page headline, product description CHECKLIST: Before you ship ☐ Tested against 3+ test cases ☐ Score above 7.0 ☐ Legal review for claims (if any) ☐ Version logged in history
About this skill
Your team ships AI-written ads, emails, and social posts, and nobody can say whether the new prompt is actually better or only looked better on the two outputs someone checked. Meanwhile the model keeps writing "guaranteed results" and "best in class" and dropping the fine print on offers. This skill turns those prompts into tested, versioned assets with a claim check that runs on every output.
What it does
- Builds test sets from your real briefs: typical cases, hard cases, and trap cases (requests for guarantees, regulated products, discounts with conditions), plus held-out cases you never tune against
- Runs blind A/B comparisons in a fixed order: pass/fail gates first (character limits, disclosures, claims not in your facts, banned phrases), then 1-3 scores with written definitions for voice, specificity, and CTA
- Sets the decision rule before testing starts and says "inconclusive" when a result is noise instead of picking a winner anyway
- Rewrites misbehaving prompts with a facts block, a [NEEDS: ...] fallback in place of invented details, and voice examples that stop generic AI phrasing
- Audits copy by claim type (supported, puffery, needs proof, needs disclosure, regulated category) and sends each one to the right review tier
- Keeps prompt cards with pinned model settings, a changelog that names the test case behind each decision, diffs, and a rollback target
What you get
A prompt card you can use right away (template, test cases, results table, ship/keep decision) or a claim audit table for copy you paste in. For team rollouts, you get a one-page set of AI content rules.
Best for
Marketing and content teams, growth marketers, and agencies that use LLMs to write customer-facing copy and need prompt changes they can defend to a manager or a compliance reviewer.
SKILL.md preview
---
name: marketing-prompt-testing-governance
… (sign up to view the full skill)More marketing & growth skills
View all Marketing & Growth skills →Paid Ads Campaign Planning and ROAS/CPA Diagnosis
Plans paid campaigns on Google, Meta, LinkedIn and X from break-even math, writes ads, and finds the metric behind a ROAS or CPA drop.
Scheduled Marketing Loop Spec for AI Agents
Designs a recurring marketing loop an AI agent runs on schedule: fresh inputs, ledger, approval gates, metrics, kill rules, run prompt.
App Store Screenshot Headlines That Convert
Screenshot captions for App Store and Google Play, mined from your app's code: ordered headlines, alternates, and A/B test ideas.
Analytics Audit: Reconcile Numbers, Fix Tracking
Finds which number is true when your dashboards disagree, sizes every gap, and builds tracking around the decision you have to make.