The fastest way to get better outputs from AI isn’t a new model—it’s better chatgpt prompts for marketing. Most marketing teams fail with ChatGPT because they ask vague questions (“write a landing page”) and then blame the tool when the copy sounds generic. This playbook is a set of prompts and a workflow you can actually use for strategy, positioning, content, and iteration.
1) The Prompt Framework: Brief, Constraints, and Feedback Loops
A useful marketing prompt has three ingredients:
- Context: audience, product, channel, goal, and current messaging.
- Constraints: tone, length, reading level, compliance rules, differentiators.
- Iteration plan: ask for multiple variants + a critique + a next step.
If you only do one thing: stop asking for “the best” copy. Ask for options + reasoning.
Template you can reuse (swap the brackets):
- Role: “You are a performance copywriter specializing in [industry].”
- Inputs: audience, offer, proof, objections, tone.
- Output format: “Return 5 options in a table; include hook, body, CTA; include a one-line rationale per option.”
- Guardrails: “Avoid these claims… Do not mention competitors… Use US English… 8th-grade readability.”
This structure is also what tools like jasper and writesonic are packaging behind the scenes. You can get surprisingly close with raw ChatGPT if your prompt is disciplined.
2) Prompts for Positioning and Messaging (Before You Write)
Most “AI marketing” advice jumps straight to content. Positioning is where you win.
Use these prompts when you’re unsure what to say, not just how to say it.
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One-sentence positioning
- “Given this product description and audience, propose 3 positioning statements. Include target user, problem, promise, and differentiation. Then critique each for vagueness and suggest improvements.”
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Objection mining
- “List the top 10 objections a skeptical buyer would have about this offer. For each objection, propose a rebuttal angle and a proof asset that would reduce risk.”
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Message hierarchy
- “Create a message hierarchy for a landing page: H1, subhead, 3 benefit bullets, 3 proof points, 2 risk reducers, CTA. Make the hierarchy consistent and non-redundant.”
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Competitive contrast without naming names
- “Generate 5 differentiation angles against common alternatives in this category without mentioning any competitor names. Prioritize angles that can be proven.”
Opinionated take: if you can’t give the model real proof (numbers, customer quotes, screenshots, case studies), it will fill the gap with marketing-sounding vapor. That’s on the prompt.
3) Prompts for Campaign Assets (Email, Ads, Landing Pages)
Once messaging is solid, generate assets by channel. The trick is to force specificity and avoid “AI voice.”
A) Paid social ads
- “Write 10 ad variations for [platform]. Each must use a different hook type (contrarian, curiosity, proof, pain-point, how-to). Keep primary text under [X] characters. Include 3 CTA options.”
B) Email sequences
- “Draft a 5-email onboarding sequence for [persona]. For each email include: subject line (5 options), preview text, body (150–250 words), and a single CTA. Make emails 1–2 educational, 3 proof-heavy, 4 objection handling, 5 urgency.”
C) Landing page (conversion-first)
- “Create a landing page draft with: H1, subhead, benefit bullets, ‘how it works’, FAQs, and a risk reducer. Then provide a critique as a CRO specialist: identify 5 weak points and rewrite the most important section.”
If your team uses a shared knowledge base, paste your product facts, pricing rules, and brand voice into notion_ai (or any doc system) and reuse that as a “source of truth.” Your prompts get better when your inputs stop changing every time.
4) One Actionable Prompt Pack (Copy-Paste) + Example Output Format
Here’s a single prompt you can paste into ChatGPT and reuse across campaigns. It forces options, explains tradeoffs, and bakes in revision.
You are a senior growth marketer and conversion copywriter.
Product: [what it is]
Audience: [who it’s for]
Core pain: [pain]
Promise: [desired outcome]
Proof: [stats, testimonials, case study notes]
Constraints:
- Tone: [direct, playful, premium, etc.]
- Reading level: 8th grade
- Avoid: [banned words/claims]
- Must include: [keywords or CTAs]
Task:
1) Generate 5 distinct angles for a campaign.
2) For each angle, produce:
- Hook (1 line)
- Primary copy (max 60 words)
- CTA (3 options)
- Rationale (1 line)
3) Critique the weakest 2 angles and improve them.
4) Ask me 5 clarifying questions that would materially improve conversion.
Return everything in a markdown table.
Why this works: it prevents the model from locking into the first idea and gives you a built-in quality pass. The final questions are the real gold—they reveal what you forgot to specify.
For cleanup and consistency, I still run the final draft through grammarly (especially if multiple teammates touch the copy). Not because ChatGPT can’t write, but because “almost correct” is expensive in production.
5) Workflow Tips (Soft Tool Mentions, No Hype)
A realistic workflow looks like this:
- Strategy prompts to lock positioning and objections.
- Asset prompts to generate variants by channel.
- Human editing to remove fluff and add proof.
- QA pass for grammar, compliance, and brand voice.
If you want more structure than raw ChatGPT, tools like jasper and writesonic can speed up templated outputs for common asset types. And if your team lives in docs, notion_ai is a convenient place to store your “promptable” brand voice and product facts. Keep it simple: pick one system, standardize your prompt pack, and measure results with A/B tests instead of opinions.
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