There is no evidence-based universal winner for these 15 marketing tasks: the official guidance from OpenAI, Anthropic, and Google offers prompt patterns and model-selection advice, not a head-to-head benchmark using the same prompts. The practical approach is to start with the task-specific prompts below, then compare the AI models you can access using the same brief and a clear scoring rubric.
Each prompt is an editable starting point, not a tested winner or a verbatim provider prompt. Replace the bracketed details with your own information before submitting it. Avoid entering confidential customer or company data unless your organization’s policies and the service’s terms allow it.
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How to choose an AI model for a marketing task
Choose by task fit, not by a permanent ranking. A model that follows a detailed creative brief well may not be the best choice for analyzing a spreadsheet, and a model’s available tools, settings, usage limits, and access can vary by product and version. OpenAI recommends experimenting with models and settings for a workflow; Google’s catalog distinguishes stable and preview models. Check the current product documentation before relying on a particular capability or version.
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For a meaningful comparison, give each model the same prompt and context. Score the results against criteria that matter to the job:
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- Task fit: Does the output solve the actual marketing problem?
- Instruction-following: Does it respect the audience, brand voice, channel, length, and other constraints?
- Accuracy and grounding: Are factual claims supported by the supplied information, and does the model flag missing data?
- Usefulness: How much editing is needed before a marketer can use the result?
- Format: Is the output in the requested structure and ready for review?
- Practical access: Does the product version available to you have the tools, input support, and usage limits the workflow requires?
Record the exact product and model version, date, prompt, input context, scoring criteria, and results if you plan to call one a winner. A single response is not a benchmark. Anthropic’s advice is broadly useful here: “Claude responds well to clear, explicit instructions.” That is prompting guidance, not evidence that one model outperforms another.
These prompts follow a common pattern: define the audience and business context, state the objective and channel, specify constraints, and request a useful output format. For complex jobs, break the work into smaller steps and refine the prompt based on the result rather than asking for an entire campaign in one vague instruction.
15 ready-to-adapt prompts for marketers
1. Draft a product launch email
Use this when you have a defined product, audience, and launch objective but need a first draft for human review.
Write a launch email for [product or feature]. The audience is [specific audience], and the main benefit is [benefit]. The email should encourage readers to [action]. Use our brand voice: [voice traits]. Include a subject line, preview text, a concise body, and one call to action. Keep it under [word count] words. Use only the facts below; do not invent features, results, prices, or deadlines. If essential information is missing, list questions before drafting. Facts: [approved product details].2. Generate and compare email subject lines
Separate the subject-line task from writing the email when you want to explore different angles without changing the message itself.
Write 10 subject lines for an email about [offer or announcement] to [audience]. The email’s goal is [goal], and the approved message is [brief summary]. Keep each subject line under [character limit] characters. Explore distinct approaches: benefit-led, curiosity, urgency only if the deadline below is real, and straightforward. Do not use misleading claims, fake personalization, or unsupported urgency. Return a table with the subject line, approach, and any claim that needs verification. Deadline, if applicable: [date or none].3. Create channel-specific ad variants
Ask for genuinely different hooks, not five near-identical rewrites. Confirm platform limits and advertising policies separately before publishing.
Create five ad-copy variants for [channel] promoting [product or campaign] to [audience]. The campaign theme is [theme], and the desired action is [action]. Give each version a different hook or tone: [list desired approaches]. Respect these limits: [character or word limits]. Use only these approved claims: [claims]. Label each variant by its hook, and flag any phrase that might require substantiation. Do not invent discounts, guarantees, or product capabilities.4. Plan a social content series
This prompt turns a campaign, event, or milestone into a set of coordinated posts while leaving room for platform-specific editing.
Plan a [number]-post social series for [event, product, or milestone]. The audience is [audience], the campaign goal is [goal], and the platforms are [platforms]. For each post, provide a suggested publishing sequence, caption, call to action, and visual description. Keep the brand voice [voice traits]. Avoid repeating the same message; give each post a distinct role in the series. Use only these approved facts: [facts]. Mark any date, statistic, or claim that needs confirmation.5. Turn a customer success story into a spotlight
Supply an approved story and ask the model to preserve its meaning rather than embellish it.
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1Repair Windows errors before they cause bigger problems2Scan for outdated or missing drivers - takes under a minute3Clear out junk files and repair common Windows errorsWrite a conversational customer spotlight post for [platform] using the approved story below. Audience: [audience]. Brand voice: [voice traits]. The post should highlight [specific lesson or outcome] and invite readers to [action]. Keep it to [length]. Do not add results, quotes, customer details, or causal claims that are not in the source. If a detail is ambiguous or a quote needs approval, flag it instead of presenting it as confirmed. Approved story: [story].6. Draft a short explainer-video script
A timed script is more useful when it includes both spoken copy and what viewers should see.
Write a 60-second explainer-video script about [product, service, or idea] for [audience]. The goal is to help viewers understand [main point] and then [action]. Return a timed sequence with narration, on-screen text, and suggested visuals for each segment. Use a [tone] tone and plain language. Use only these approved facts: [facts]. Do not promise outcomes or imply capabilities beyond those facts. Keep the narration short enough to speak naturally in 60 seconds.7. Outline a brand style guide
Use this to organize existing brand decisions, not to treat generated suggestions as approved policy.
Create an outline for a practical brand style guide for [organization or product]. The main audiences are [audiences], and the brand should feel [traits]. Include sections for voice, tone by situation, vocabulary, formatting, accessibility, examples of preferred and discouraged phrasing, and review ownership. Separate the information provided below from recommendations you are proposing. Do not invent existing brand rules. Current approved guidance: [materials or notes]. Mark gaps that require a decision from the brand team.8. Develop campaign storytelling concepts
Concept generation works best when the brief establishes the audience insight and the boundaries of acceptable claims.
Propose three distinct storytelling concepts for a campaign about [product, service, or initiative]. Audience: [audience]. Objective: [objective]. Audience need or insight: [supported insight]. Brand voice: [traits]. For each concept, provide a central idea, short rationale, sample headline, and one possible execution for [channel]. Use only approved product facts: [facts]. Do not use stereotypes, unsupported statistics, or claims that imply guaranteed results.9. Build a visual moodboard brief
This asks for direction a designer can assess; it is not a substitute for reviewing actual assets, rights, or accessibility.
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Provide definitions and comparable data before asking for a performance summary. A model can describe the supplied numbers, but the output still needs validation against the underlying analytics.
Analyze the campaign data below. First state the date range, metric definitions, and any missing or inconsistent fields you notice. Then identify which channels performed best against [business objective], compare them using [specified metrics], and explain limitations such as different spend, audience size, or attribution windows. Suggest one chart that would make the comparison clear, including its axes and units. Do not infer causation from correlation or fill in missing values. Data: [paste approved, appropriately aggregated data].11. Forecast lead volume from historical data
Forecasts are only as informative as their time periods, definitions, and assumptions. Ask the model to expose uncertainty rather than present a precise-looking number as fact.
Using the historical lead data below, prepare a [time horizon] forecast. Define what counts as a lead: [definition]. Identify the data range, trend, and any visible seasonality. State assumptions and data limitations, and give a reasonable range rather than unsupported precision. Explain the method in plain language and list additional information that could improve the forecast. Do not claim that patterns will continue automatically. Data: [dated lead counts and relevant context].12. Recommend a revised marketing budget allocation
Use a consistent period and include both spend and return definitions. Treat a recommendation as a scenario to review, not an automatic budget decision.
Review the historical channel spend and return data below for [period]. Define the return metric as [definition] and the objective as [objective]. Recommend a revised allocation across the listed channels in a table showing current spend, proposed spend, change, and rationale. Keep the total budget at [amount] and state any assumptions. Account for differences in attribution, conversion lag, and channel role where the data permits. Do not assume past performance guarantees future results; identify what should be tested before shifting the full budget. Data: [data].13. Turn an audience brief into a message map
A message map helps align a campaign before copy is written. It should distinguish verified product facts from audience hypotheses.
Create a message map for [product or campaign]. Audience: [specific segment]. Objective: [objective]. Include one core message, three supporting messages, evidence available for each, likely audience questions, and a suggested call to action. Use only the approved product information below as evidence. Label audience assumptions as hypotheses, not facts. Do not invent testimonials, research findings, or product outcomes. Approved information: [details].14. Create an SEO content brief
This prompt produces a planning document; verify search intent and factual details before assigning or publishing the work.
Prepare an SEO content brief for a page about [topic] for [audience]. The page’s purpose is [purpose], and the intended next step is [action]. Provide a working title, reader questions to answer, a logical outline, information the writer must verify, and internal subject-matter input needed. Use these supplied audience and business details: [details]. Do not invent search-volume figures, ranking claims, or keyword difficulty. Clearly distinguish supplied facts from suggestions.15. Turn campaign data into a measurement plan
Before reporting results, define how success will be measured and what data is needed to interpret it.
Draft a measurement plan for [campaign] with the objective of [objective]. Identify the primary outcome metric, supporting metrics, baseline, measurement period, data sources, and reporting cadence. Explain how to compare results across [channels or audiences] fairly, noting attribution and tracking limitations. Suggest a chart or table for reporting. Use these existing analytics definitions and constraints: [details]. Flag any missing definition or tracking requirement; do not invent targets or claim that a campaign caused an outcome without an appropriate basis.How to get better results from these prompts
Give the model the brief it needs
“Write a campaign” leaves too many decisions unstated. Include the audience, product context, channel, objective, relevant brand guidance, approved facts, constraints, and output format as appropriate. If a detail is unknown, say so instead of letting the model silently make one up.
Break complex work into stages
For a large task, separate research or data inspection, strategy, drafting, and revision. For example, ask for missing information and assumptions first, approve the message map next, then request channel copy. Google’s prompt-design guidance recommends experimentation and refinement; a staged workflow makes it easier to see which instruction needs adjustment.
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Review claims and sensitive inputs
AI-generated marketing copy is a draft. Verify factual claims, customer quotations, dates, prices, performance figures, and legal or policy-sensitive language against approved sources. Share only information that your organization permits you to use with the chosen service.
What the official guidance can—and cannot—tell you
OpenAI Academy’s marketing resource provides examples across launch emails, ad variants, social posts, customer spotlights, video scripts, campaign analysis, forecasting, and budget allocation. Anthropic’s prompting guide emphasizes clear, direct instructions. Google’s prompt-design strategies discuss refining prompts, while its model catalog lists model availability, including stable and preview entries. These are useful foundations for building workflows; they do not establish which model wins on a common set of 15 marketing prompts.
Model behavior and product access can change. OpenAI’s model-selection guidance notes that tools, reasoning settings, availability, and usage limits differ across products and versions. Check the current documentation for the product you use, and base any recommendation on a dated comparison of the exact versions and workflow—not on a broad claim that one assistant is best at marketing.
Quick Recap
Sources
- OpenAI Academy: ChatGPT for marketing (last updated August 27, 2026)
- Anthropic: Prompting best practices
- Google AI for Developers: Prompt design strategies
- OpenAI Developers: Model selection
- Google AI for Developers: Models
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