AI Marketing Prompt Library Starter Template
A structured template for building your team's first AI prompt library—organized by workflow, use case, and output quality standards. Use this to centralize proven prompts, reduce prompt engineering time, and ensure consistent AI outputs across your marketing team. Designed for CMOs and marketing leaders who want to move beyond one-off AI experiments into a scalable, documented system.
How to Use This Template
- 1.## Step 1: Audit Your Highest-Friction Workflows
- 2.**Start by identifying where time is leaking and revenue is at stake.** Review your team's calendar, time logs, and project backlogs over the past month. Look for workflows that consume 2+ hours per week, require multiple rounds of feedback, or block downstream processes (e.g., campaign launch delays, content bottlenecks). These are your leverage points. Avoid the trap of "everything looks like a good candidate"—focus on 2-3 workflows where AI can measurably reduce operational debt. Document the current process, the bottleneck, and the downstream impact. This becomes your business case for why this prompt library matters.
- 3.## Step 2: Design Your First 3-5 Prompts Around Those Workflows
- 4.**Don't build a library of 50 prompts. Start with 3-5 high-impact prompts that directly address your selected workflows.** For each workflow, write out the prompt in plain language—what input does the AI need, what output do you expect, and what constraints matter (brand voice, tone, data privacy). Test each prompt 2-3 times with real work examples. Document what works, what doesn't, and iterate. Use the "Prompt Templates" section of this template to structure each one with input variables, the full prompt text, expected output, and a quality checklist. This discipline prevents shadow AI and ensures consistency.
- 5.## Step 3: Establish Your Brand & Compliance Guardrails
- 6.**Before your team starts using these prompts at scale, lock down your governance rules.** Define your brand voice, tone constraints, data privacy rules, and fact-checking process. For example: "No customer names in prompts, all AI-generated copy must be reviewed by [TEAM] before publish, tone must be conversational but never superlative." This isn't bureaucracy—it's the difference between AI that compounds your brand and AI that creates risk. Add this to the "Governance & Quality Standards" section and share it with your team before rollout. Make it a one-pager so it's easy to reference.
- 7.## Step 4: Test Prompts with Your Team and Score Output Quality
- 8.**Run a 2-week pilot with 2-3 team members on your highest-priority workflow.** Have them use the prompts on real work, document the time saved, and rate output quality using the 1-5 rubric (5 = ready to publish, 1 = unusable). Collect feedback on what's working and what needs iteration. If a prompt consistently scores below 3, iterate or retire it. This step is critical—it moves you from "AI sounds cool" to "AI actually saves us time and maintains our standards." Document the results in the "Metrics & ROI Tracking" section so you have proof points for leadership.
- 9.## Step 5: Build Your Rollout Plan with Clear Adoption Milestones
- 10.**Create a phased rollout that starts small and scales based on results.** Phase 1 (Week 1-2): Finalize and test 3-5 core prompts with one team. Phase 2 (Week 3-4): Expand to a second team, measure time savings, iterate based on feedback. Phase 3 (Month 2): Scale to full team, integrate prompts into your workflow tools, establish a monthly review cycle. Assign an owner for each phase and set clear success metrics (adoption rate, time saved, quality scores). This prevents the "pilot that never scales" trap and shows leadership you're building a system, not a one-off experiment.
- 11.## Step 6: Document and Maintain Your Library as a Living System
- 12.**Treat your prompt library like a product, not a project.** Assign an owner (ideally someone on your team who loves AI and attention to detail), establish a monthly review cycle, and set clear update triggers (quality scores drop, team feedback, new workflows identified). Version your prompts (v1, v2, v3) so you can track what changed and why. Archive prompts that aren't working instead of letting them clutter the library. Share the library with your team in a centralized location (Google Doc, Notion, or your marketing platform) with clear instructions on how to use each prompt. This is how you move from operational debt to operational leverage.
Template
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Get the Full AI Marketing Learning Path
Courses, workshops, frameworks, daily intelligence, and 6 proprietary tools — built for marketing leaders adopting AI.
Trusted by 10,000+ Directors and CMOs.
