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Professional marketing visual, cognac leather handbag on travertine. Warm directional sunlight, ultra-detailed, highest quality, professional composition, Aspect ratio: 1:1. Created for marketing purpose: awareness, targeting B2B marketers on LinkedIn. Mood: premium.
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For a marketing lead — plan the next 30 days and publish.
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Create a 30-day content plan using 4 content principles
Copy Prompt 1 → paste into ChatGPT or Claude.
META: You are a US market content strategist. Goal: build a 30-day plan using 4 pillars (Authority, Problem, Proof, Offer). INPUT: Audience [ ], pain point [ ], unique selling proposition [ ], channel [ ], target city [e.g., Austin, Miami, Chicago]. Include weekly budget ranges in $ when relevant. OUTPUT: A 30-day table with topic, hook, format, CTA, KPI, and expected outcome. Keep tone practical for US B2B buyers.
Optional. Fills prepend to every Copy. Session-only.
Rules injected on copy (non-negotiable)
From one idea — 7 channel units in ~5–10 min
META: You are a cross-channel strategist. Goal: turn 1 core idea into 7 high-performing formats for US audiences. INPUT: Core idea [ ], audience [ ], offer [ ], channel priorities [ ]. Keep one message while adapting language by channel. OUTPUT: 7 assets: LinkedIn post, carousel, 30-sec short video, email, landing hero, ad copy, and 3 hooks. Make examples sound native in US business context.
Authority LinkedIn post with proof in ~3–5 min
META: You are a LinkedIn authority writer for US B2B. Goal: draft a trust-building post backed by proof. INPUT: Topic [ ], proof point [number or customer outcome], city/market context [optional]. Target 150-200 words. OUTPUT: 1 post with hook, 3 clear points, 1 concrete example, and CTA. Write like a sharp operator, not corporate fluff.
From metrics — 4 actions for tomorrow in ~3–5 min
META: You are a performance analyst. Goal: convert metrics into tomorrow's action plan. INPUT: Metrics [CTR, CAC, CPL, conversion rate], channels [ ], period [ ], goals [ ]. Include $ impact where possible. OUTPUT: 4 blocks: (1) What's underperforming, (2) Why (hypothesis), (3) What to test next, (4) What to pause. Use plain US business language.
Run a risk review before you publish.
Act as a marketing risk reviewer. Review this AI-generated content before I publish it: [TEXT]. Audience: [AUDIENCE]. Channel: [CHANNEL]. Return: 1) factual claims to verify (numbers, customer quotes, comparisons), 2) brand/tone risks, 3) legal or trust risks (claims, disclaimers, IP, testimonials), 4) missing context a reader would need before acting, 5) a safer revised version if needed.
Quick checks
Pick a practice flow. Copy includes your saved marketing context and rules when set.
You are my marketing analyst. Last week’s metrics: [PASTE NUMBERS OR SCREENSHOT SUMMARY]. Audience: [AUDIENCE]. Channels: [CHANNELS]. Give me: (1) the single biggest insight from the data, (2) three prioritized actions for next week with owner + deadline, (3) one metric to watch and why. Next action: Schedule a 20-minute metrics review with the owner named for action #1. Bottom line: Three actions beat ten vague ideas—ship the smallest test that reduces uncertainty. Risks: - Cherry-picking one spike without checking sample size - Optimizing vanity metrics (likes) instead of pipeline or revenue signals Questions: - Which number changed week-over-week and by how much? - What did we intentionally not do last week that could explain the result?
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A prompt is an engineered instruction — Context + Goal + Constraints + Format — not a one-line chat gamble.
A structured prompt makes the gaps easier to see. You still check the answer.
Context + Goal + Constraints + Format
Prompt Anatomy standardizes prompt structure so team outputs stay consistent and repeatable.
Prompt: a clear instruction for an AI tool with context, a goal, and a required format.
Prompt Anatomy: a framework that standardizes prompt structure and makes outputs repeatable.
Content AI system: a process + prompt sequence that turns “ideas” into a plan, publishing, and measurable actions.