Prompt hub

8 AI prompts for marketers (copy-ready and tested)

Marketing teams are expected to produce ad copy, a market research brief, an email campaign and landing page text on tight timelines, often for several audiences and products at once. A language model is well suited to producing first-draft variations quickly, which frees up time for the strategic work — deciding what to test, reading the results and deciding what to say next.

This hub covers ad copy, social posts, a market research brief, an email campaign, landing page copy, a customer persona, a value proposition and a product launch plan, written for ChatGPT, Claude and Gemini. Fill in your product, audience and key benefit in the labelled fields and the prompt produces copy specific to your brief rather than a generic template you then have to rewrite from scratch.

Two pitfalls are worth flagging. Models will happily invent statistics, customer quotes or competitor claims that sound authoritative but are not real — never publish a number a model generated without checking it against an actual source. And output tends to drift towards the same handful of adjectives and structures regardless of brand, so treat the first draft as a starting point for your brand voice, not the finished copy. Running a prompt through the free optimiser first shows you where an instruction is ambiguous, which usually means tighter, more on-brief copy on the first try.

All 8 prompts

  • A prompt for a customer persona grounded in supplied research, not invented demographics or made-up quotes.

    Show prompt
    The prompt
    You are a market researcher building a customer persona for {{PRODUCT OR SERVICE}}.
    
    Objective: Build one persona representing {{SEGMENT — e.g. small business owners who've outgrown spreadsheets}}, based only on the research notes supplied below.
    
    Context: This persona will be used for {{USE CASE — e.g. briefing a copywriter on landing page tone}}. The research notes are:
    {{PASTE RESEARCH NOTES OR SURVEY FINDINGS HERE}}
    
    Constraints:
    - Base every trait, goal and frustration on something stated or clearly implied in the research notes — do not invent demographics, job titles or quotes not present in the notes
    - Exactly 4 sections: Snapshot, Goals, Frustrations, What would make them buy
    - Snapshot: one short paragraph, no more than 40 words
    - Goals and Frustrations: 3 bullets each, one sentence per bullet
    - Flag, in a final line, any commonly expected persona detail (age, income, job title) the notes don't actually support
    
    Output format: Return the 4 sections as Markdown headings with the content below each, followed by the flagged-gaps line.
    
    Before finishing, check every claim traces back to the research notes and that Goals and Frustrations each have exactly 3 bullets.
    
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  • A prompt for a promotional email that leads with a real benefit and a single clear call to action, not a wall of features.

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    The prompt
    You are an email marketer writing a promotional campaign for {{BRAND OR PRODUCT}}.
    
    Objective: Write one promotional email announcing {{OFFER OR ANNOUNCEMENT}} to subscribers.
    
    Context: The audience is {{AUDIENCE — e.g. existing customers who bought once, six months ago}}. The single most important benefit to lead with is {{KEY BENEFIT}}. The call to action is {{CALL TO ACTION — e.g. Shop the sale, Book a demo}}.
    
    Constraints:
    - Subject line: under 50 characters, no more than one exclamation mark
    - Body: 100–180 words, plain paragraphs, no more than 3 short paragraphs
    - Exactly one call-to-action, stated once in the body and once as a closing line
    - Do not claim a discount percentage, deadline or stock level unless it is given above
    
    Output format: Return "Subject:" on its own line, then a blank line, then the email body.
    
    Before finishing, check the body is within 100–180 words, contains exactly one call to action, and states no unsupplied numbers or deadlines.
    
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  • A prompt for landing page copy structured around one offer and one action, with proof points instead of vague claims.

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    The prompt
    You are a conversion copywriter writing landing page copy for {{PRODUCT OR SERVICE}}.
    
    Objective: Write the hero section and three supporting sections for a landing page whose single goal is {{PRIMARY GOAL — e.g. get a free trial signup}}.
    
    Context: The visitor arrives from {{TRAFFIC SOURCE — e.g. a paid search ad for "team scheduling software"}}, so they already know roughly what the product does. The strongest proof point available is {{PROOF POINT — e.g. used by 40 independent coffee shops}}.
    
    Constraints:
    - Headline: under 12 words, states the outcome, not the feature
    - Subheadline: under 25 words
    - Exactly 3 supporting sections, each with a heading under 8 words and 1–2 sentences of body copy
    - One call-to-action button label, repeated identically at the top and bottom
    - Do not state a customer count, rating or statistic other than the proof point supplied
    
    Output format: Return Markdown with a "# Headline", a subheadline line, the CTA button label on its own line, then three "##" supporting sections, then the CTA button label again on its own line.
    
    Before finishing, check there are exactly 3 supporting sections, the CTA label is identical in both places it appears, and no statistic beyond the supplied proof point is used.
    
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  • A prompt for a product launch plan with a realistic timeline and channel-specific actions, not a generic marketing checklist.

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    The prompt
    You are a product marketing manager building a launch plan for {{PRODUCT OR FEATURE}}.
    
    Objective: Build a launch plan covering the {{TIMEFRAME — e.g. 4 weeks before launch day to 2 weeks after}} around launch day, {{LAUNCH DATE}}.
    
    Context: The team available is {{TEAM — e.g. one marketer, one designer, part-time support from engineering}}. The primary channel for this launch is {{PRIMARY CHANNEL — e.g. email list of 12,000 subscribers}}.
    
    Constraints:
    - Exactly 3 phases: Pre-launch, Launch day, Post-launch
    - Each phase: 3–5 actions, each stated as a single task with a relative timing (e.g. "3 days before launch")
    - Every action must be realistic for the stated team size — do not assign more than 2 parallel workstreams to a one-person team
    - No action may fall after the end of the stated timeframe
    
    Output format: Return the 3 phases as Markdown headings, each with its actions as a bulleted list, timing stated at the start of each bullet.
    
    Before finishing, check each phase has 3–5 actions, no action falls outside the stated timeframe, and no phase overloads the team size given.
    
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  • A prompt for a value proposition statement built on a real differentiator, with three supporting proof points instead of vague claims.

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    The prompt
    You are a positioning strategist writing a value proposition for {{PRODUCT OR SERVICE}}.
    
    Objective: Write one value proposition statement plus supporting proof points aimed at {{TARGET CUSTOMER}}.
    
    Context: The main alternative customers currently use is {{ALTERNATIVE — e.g. doing it manually in spreadsheets, a competitor product}}. The real, defensible difference is {{DIFFERENTIATOR — e.g. it syncs automatically, no manual export needed}}.
    
    Constraints:
    - Value proposition statement: one sentence, under 30 words, names the customer and the outcome, not just the feature
    - Exactly 3 supporting proof points, each one sentence, each tied directly to the stated differentiator
    - Do not use the words "innovative", "revolutionary", "seamless" or "cutting-edge"
    - Do not claim a ranking, award or statistic that wasn't supplied
    
    Output format: Return the statement as a single bolded line, followed by the 3 proof points as a bulleted list.
    
    Before finishing, check the statement is one sentence under 30 words, there are exactly 3 proof points, and none of the banned words appear.
    
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  • A prompt for a research brief that separates what's actually known from what's assumed, instead of presenting both with equal confidence.

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    The prompt
    You are a market analyst who is careful to separate evidence from assumption.
    
    Objective: Write a research brief on {{MARKET OR QUESTION — e.g. demand for X among Y}}.
    
    Context: What's already known or supplied: {{EXISTING DATA OR CONTEXT}}. What you're trying to decide based on this: {{THE ACTUAL DECISION THIS INFORMS}}.
    
    Constraints:
    - Clearly mark any claim you're not certain about as an assumption, not a fact
    - Do not cite specific statistics unless they were supplied in the context — describe general patterns instead
    - Include at least one factor that could invalidate the brief's conclusion
    - Keep the brief to 400–600 words
    
    Output format: Return sections for Summary, What We Know, Assumptions, Risks to This Analysis, and Recommendation.
    
    Before finishing, check that every statistic mentioned was actually supplied in the context, and that assumptions are labelled as such, not stated as fact.
    
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  • A prompt for social posts that sound like a person and fit the platform, instead of generic corporate-voice filler.

    Show prompt
    The prompt
    You are writing as {{BRAND OR PERSON'S}} social media voice, not as a generic corporate account.
    
    Objective: Write a post for {{PLATFORM — e.g. LinkedIn, X, Instagram}} announcing or discussing {{TOPIC}}.
    
    Context: The audience follows this account for {{WHY THEY FOLLOW — e.g. practical advice, behind-the-scenes updates}}. The tone is usually {{TONE — e.g. direct and a little informal}}.
    
    Constraints:
    - Match {{PLATFORM}}'s typical length and formatting conventions
    - No more than one exclamation mark in the entire post
    - Do not use generic openers like "Exciting news!" or "We're thrilled to announce"
    - Include one specific, concrete detail rather than a vague claim
    
    Output format: Return the post text only, plus up to 3 relevant hashtags on a separate line if the platform commonly uses them.
    
    Before finishing, check the post against the constraints above, especially the banned generic openers.
    
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  • A prompt for ad copy built on a real offer and audience instead of generic enthusiasm that could describe any product.

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    The prompt
    You are a direct-response copywriter who is paid on results, not on how clever the copy sounds.
    
    Objective: Write {{NUMBER — e.g. 3}} ad variations for {{PRODUCT}} targeting {{AUDIENCE}} on {{PLATFORM — e.g. Google Search, Instagram, LinkedIn}}.
    
    Context: The core offer or benefit is {{THE SPECIFIC OFFER OR BENEFIT}}. The proof point (a number, result or guarantee) is {{PROOF POINT}}.
    
    Constraints:
    - Every variation must reference the specific proof point, not a generic claim
    - Avoid superlatives that aren't backed by the proof point ("best," "revolutionary")
    - Match {{PLATFORM}}'s typical character limits for headline and body
    - Include one clear call to action per variation
    
    Example proof point: "rated 4.8 out of 5 by over 2,000 customers" — specific enough to build a headline around.
    
    Output format: Return each variation numbered, with headline and body labelled separately.
    
    Before finishing, check that removing the product name from each variation would still make it obviously about this specific offer, not any competitor's.
    
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Frequently asked questions

Can I publish AI-generated ad copy directly?
Treat any draft as a starting point — check factual claims, comply with advertising standards in your market, and edit the copy to match your actual brand voice before it goes live.
Will these prompts write on-brand copy automatically?
Not automatically. Fill in your brand voice, audience and key benefit in the labelled fields, and expect to edit the tone afterwards — a model defaults to a generic marketing voice unless told otherwise.
Can I use the same prompt for multiple products?
Yes, the fill-in fields are designed to be reused across products or campaigns; just update the product, audience and benefit details each time.
Do the prompts include real market statistics?
No. Models can invent statistics that sound plausible, so any number used in a brief or persona should come from your own research, not from the model's output.