234 ChatGPT prompts (and how to write your own)

The best ChatGPT prompts give you a starting point for almost any task. Fill in the brackets, run the prompt, adjust the output. For most everyday work, that’s enough.

What a library can’t give you is a way to build prompts from scratch when your task doesn’t match a template, or to strengthen one when the output isn’t quite right. 

Those decisions come down to what you include: relevant context, what the output should look like, and which of your materials the response should draw on.

Below, you’ll find a short set of versatile prompts to try first, a framework for writing your own, and the full library of 234 prompts organized by role, each ready to copy and adapt.

What are ChatGPT prompts?

A ChatGPT prompt is the input you give ChatGPT to communicate what you want it to do. It can include a question, instruction, or goal, along with text, files, images, data, source material, or examples of the result you want.

A prompt can be as simple as:

Summarize this client’s Q3 performance.

Or it can be more detailed:

Summarize this client’s Q3 performance for their executive team. Compare the results against these Q3 targets: [paste targets]. Use their organic traffic, lead volume, and conversion rate data: [paste data]. Match the structure and length of last quarter’s approved report: [paste example].

The second prompt supplies details specific to this task: the audience, performance targets, source data, and an approved reference format.

Think of ChatGPT as a new coworker who has broad, industry-level knowledge but lacks the context specific to your company. The context and materials you provide shape that knowledge into a response you can use.

The PROMPT framework below shows how to create your own prompts, which you can then adapt to fit your task requirements.

Further reading: What ChatGPT can do

Best ChatGPT prompts to try first

The prompts below cover common ways people use ChatGPT: summarizing information, organizing work, evaluating ideas, learning new topics, and communicating clearly.

Writing and communication

1. Extract the takeaway from a long document

Read the document below and extract its most important takeaway for [audience].

Keep the response under [word count] words and include:

• Bottom line: The main conclusion or implication in one sentence. State if the document reaches no clear conclusion.
• Key findings: The three to five points essential to understanding it.
• Implications: The decisions, risks, or opportunities the reader should consider.
• Essential evidence: Important numbers, examples, or supporting facts.
• Uncertainties: Assumptions, limitations, or unresolved questions.
• Next step: The clearest action, if supported by the document.

Prioritize implications over background. Preserve important names and numbers, use only the document, and label interpretations or inferences.

Document: [add document]

2. Turn a transcript or meeting notes into a scannable brief

Turn the transcript below into a concise brief for [audience], under [word count] words.

Use these sections:

• Bottom line: What the meeting established, decided, or advanced and why it matters.
• Decisions made: Confirmed decisions or changes in direction.
• Key discussion points: Only the reasoning needed to understand them.
• Open questions: Unresolved issues or dependencies.
• Next steps: Action, owner, and deadline where stated.
• Risks or blockers: Stated issues that could affect progress.

Prioritize outcomes over chronology. Preserve important names, dates, numbers, and commitments. Distinguish decisions from proposals and open discussion. Do not infer owners, deadlines, or conclusions; write ‘not specified’ where needed.

Transcript or notes: [paste transcript]

3. Rewrite for a specific audience

Rewrite the message below for [specific audience].

Audience context:

• Already knows: [relevant context]
• Cares most about: [priorities or questions]
• Needs to do: [decision, action, reply, or understanding]

Lead with what matters most, use the audience’s vocabulary and knowledge level, and make the takeaway or action clear. Preserve all facts, names, dates, numbers, commitments, qualifications, and meaning.

Use a [tone] tone, stay under [word count] words, and format it for [email / Slack / presentation / report].

Return only the rewritten message.

Original message: [paste message]

4. Draft a difficult email

Draft a [type of email] to [recipient and relationship].

Context: [what happened and what the recipient needs to know]

Desired outcome: [what they should understand, decide, or do]

Use a [tone] tone and stay under [word count]. Preserve the relationship while making the purpose and next step clear. Do not invent facts, promises, commitments, or concessions.

Return only a subject line and the email.

Productivity and planning

5. Break a big project into an actionable sequence

I need to [goal] by [deadline].

Starting point: [what is complete, available, or decided]
Constraints: [time, budget, team, tools, approvals, or other limits]
Success looks like: [specific outcome or deliverable]

Create a week-by-week plan working backward from the deadline. For each week, include the milestone, two or three priority actions, dependencies or approvals, and evidence of completion.

Sequence dependencies first, identify the critical path, flag deadline risks, and show where contingency time is most needed. State assumptions and flag if the deadline appears unrealistic.

End with the first three actions.

6. Prioritize a week’s worth of tasks

Prioritize the tasks below for this week.

Tasks: [paste tasks, deadlines, and time estimates]
Top priority: [priority]
Available time: [hours or working days, if known]

Weigh impact on the priority, urgency, dependencies, cost of delay, effort, and available time. Rank and label each task:

• Do first
• Schedule this week
• Delegate
• Defer

Give a one-sentence rationale for each. Then identify the first two tasks to start and the lowest-downside task to delegate or defer. State any assumptions or missing information that could change the ranking.

7. Prepare for a meeting you’re leading

I’m leading a [meeting type] with [attendees and roles] about [topic].

Length: [duration]
Required outcome: [decision, approval, plan, alignment, or next steps]
Context: [prior discussions, disagreements, knowledge, and constraints]

Create a timed agenda that fits the meeting length. Include:

• The meeting objective
• Agenda items in sequence, with time and intended outcome
• Decisions required
• Critical points of alignment, if applicable
• Three likely difficult questions based on the context
• Required pre-reading or preparation

Label assumptions where context is limited. End with a closing script that prompts me to recap the decisions made and confirm owners, deadlines, and next steps before the meeting ends. 

Business and strategy

8. Brainstorm ideas grounded in customer or performance data

Generate [number] [idea type] from the data below.

For each, include:

• The idea
• The specific data point or pattern it draws from
• The connection between the evidence and the idea
• Evidence level: directly supported or hypothesis
• The main assumption to validate

Rank the ideas by evidence strength. Base stated customer needs and trends on the supplied data, label inferences, and flag dataset limitations that could affect the recommendations.

Data: [insert data]

9. Pressure-test a strategy

Evaluate the plan below from the perspective of a [role], focusing on:

• [Criterion 1]
• [Criterion 2]
• [Criterion 3]

Identify the three highest-risk assumptions. Label each as explicit or inferred and explain:

• Why it is uncertain
• What must be true
• What evidence would confirm or refute it
• The consequence if it is wrong
• The fastest credible test

Rank by uncertainty and potential impact. Also identify one strong element to preserve.

Plan: [paste plan]

10. Compare business options against defined criteria

Compare [option A] and [option B] for [use case and outcome].

Criteria and weights:

• [Criterion 1]: [weight from 1, low importance, to 5, high importance]
• [Criterion 2]: [weight from 1, low importance, to 5, high importance]
• [Criterion 3]: [weight from 1, low importance, to 5, high importance]

Constraints and non-negotiables: [insert details]

Apply non-negotiables as pass/fail gates first. Then score each option from 1–5 for every criterion, where 1 = poor fit, 3 = adequate, and 5 = strong fit.

For each score, reference the supplied evidence and flag assumptions or unknowns. Do not score missing evidence as poor performance.

Return:

• A comparison table with scores, reasoning, and trade-offs
• A weighted score for each option: multiply each score by its criterion weight, add the results, and divide by the total of the weights. Show the calculation.
• A recommendation and its deciding criterion
• The condition under which the other option would be better

Recommend an option only when the evidence supports it; otherwise, state what information is needed.

Evidence and context: [add relevant materials]

Learning and research

11. Test your understanding using the Feynman technique

Review my explanation of [concept].

Organize your response into:

• Correct: What I understand accurately and why
• Needs correcting: Specific misunderstandings and their corrections
• Missing: Essential ideas or exceptions for my stated level
• Clearer explanation: A plain-language rewrite suited to my stated level, using one simple example or analogy 

Anchor feedback to a quoted sentence or passage. End with two short questions testing explanation and application.

My level or goal: [insert context]
My explanation: [add explanation]

12. Learn through Socratic questioning

Teach me [topic] through Socratic questioning.

Level: [beginner / intermediate / advanced]
Goal: [what I want to explain, solve, evaluate, or apply]

Ask one focused question at a time and wait for my response. Use my answer to choose the next question. Challenge misunderstandings with follow-up questions; when I am stuck, give a small hint. If two hints are insufficient, briefly explain the missing idea and continue.

Stop after [number] questions or once I demonstrate that I can explain the idea, connect it to relevant concepts, and apply it to a new example.

Then summarize what I learned and ask one transfer question.

Start with the first question.

13. Research a topic using cited sources

Use web search to write an overview of about 400 words on [topic], focused on [question or angle]. 

Prioritize sources appropriate to each claim, including primary or official sources, peer-reviewed research, reputable institutions, and well-sourced reporting. For time-sensitive claims, prefer sources from the last [timeframe] while retaining relevant foundational work.

Use linked inline citations for key factual claims. Include a source list with the organization, source title, and publication date. 

Distinguish evidence, interpretation, and uncertainty. Where credible sources disagree, summarize the main positions and supporting evidence.

Add an “Uncertainties and unverified claims” section when material points remain unresolved. If web search is unavailable, say so. Exclude unsupported claims from the overview.

Decision-making and reflection

14. Identify the assumptions and blind spots behind a decision

I’m considering [decision] because: [reasoning].

Identify the assumptions and omitted considerations my reasoning may overlook.

For each, explain:

• Why it matters
• Whether it is supported, inferred, or missing from my evidence
• The most practical way to test it
• How the decision changes if it is wrong

Then identify one plausible alternative course of action or interpretation I should consider.

Prioritize items with high uncertainty and potential impact. Do not invent context.

End with the three checks I should complete before deciding.

15. Surface the trade-offs in a decision you are leaning toward

I’m leaning toward [decision].

My reasons: [explain reasoning]

Identify:

• What I gain
• What I give up or make harder
• Temporary versus difficult-to-reverse consequences
• Risks I accept
• Important trade-offs or alternatives I may have overlooked

For each, label it as supported by my information, a reasonable interpretation of that information, or unresolved. Follow up with questions if you need clarity on any missing context.

End with the smallest practical step that would test the decision, reduce uncertainty, or preserve flexibility.

These prompts handle common tasks. Before exploring the full library, use the PROMPT framework to build and refine prompts of your own. Then browse the 234 prompts organized by role and use case.

How to write better ChatGPT prompts using the PROMPT framework

A ChatGPT prompt generator can produce a serviceable starting template, but it can’t supply your audience, data, or constraints. The PROMPT framework covers what generators leave out.

OpenAI’s prompt engineering guidance recommends the same fundamentals: describe the task clearly, provide the context ChatGPT needs, define the format, set the constraints, and refine the response as you go.

PROMPT is a six-part process for building stronger prompts and refining the response. Simple requests work with a few components, while more complex tasks may benefit from all six:

• Purpose (P): the result you want
• Relevant context (R): the background ChatGPT needs
• Output (O): the format the response should take
• Must-haves (M): the rules the response must follow
• Proof and examples (P): the source material to work from
• Tune (T): the follow-ups that refine the response

P: Purpose

Start by telling ChatGPT what to do and what you want it to produce.

Use a clear action verb, such as:

• Analyze
• Compare
• Draft
• Plan
• Recommend
• Summarize

Then name the intended result.

A prompt like “Help me onboard a new marketing manager” may draw a response of general advice or a follow-up question.

A clearer purpose is:

Draft a 30-60-90 day onboarding plan for a new marketing manager joining my team.

This defines both the action (draft) and the result (a 30-60-90 day onboarding plan).

For tasks involving a decision, include that outcome too:

Compare these three project management tools and recommend the best option for a five-person marketing team.

When the target is vague, ChatGPT has to infer the task, which makes the response generic or off-target.

R: Relevant context

Relevant context helps ChatGPT tailor its response to you and your situation.

Depending on the task, this may include:

• Who the response is for
• The company, industry, or market
• The problem you are trying to solve
• The intended use of the response
• The reader’s existing knowledge
• The stakes or circumstances surrounding the task

For the onboarding-plan example, you could add:

This is for a B2B SaaS company. The new hire will lead demand generation and manage two junior team members. Our current focus is expanding into mid-market segments.

The details that make a task specific come from you: your team structure, company priorities, and the problem you are solving. Once you provide those details, ChatGPT can shape the response around them.

Relevant context describes the situation ChatGPT is working in. Include details that materially affect the response. A longer backstory doesn’t automatically produce a better result. 

O: Output

Specify how you want ChatGPT to organize and present its answer.

This may include:

• Format, such as a table, checklist, email, or report
• Required sections or headings
• Number of options
• Length
• Level of detail

For example:

Structure the plan by phase: days 0–30, 31–60, and 61–90. For each phase, list learning goals, active projects, and success metrics. Keep the complete plan under 800 words.

Choose the format based on what your reader will do with the response. If they’ll skim it in a meeting, use a table. If they’ll copy it into an email, use prose. If they’ll present it to others, use a structured outline with headers.

M: Must-haves

Must-haves tell ChatGPT which standards, rules, and boundaries the response needs to follow. 

These may include:

• Points that must be covered
• Information that should be excluded
• Decision criteria
• Tone and style requirements
• Facts or assumptions that should be flagged
• Steps ChatGPT should complete before answering

For example:

Include a check-in with the hiring manager at the end of the first 30 days. Prioritize knowledge-building in phase one, contribution in phase two, and ownership in phase three. Cover only marketing-specific responsibilities; exclude general HR onboarding items.

You could also ask ChatGPT to handle missing information explicitly:

Base your response only on the materials provided. Flag any missing information that would change your recommendations.

Or ask it to clarify the task before beginning:

Before drafting the plan, ask me up to three questions about the role or company that will help you build the plan.

These requirements often come from internal knowledge ChatGPT does not have, such as team norms, brand rules, and past decisions.

Pair an exclusion with a positive instruction. “Focus on marketing-specific responsibilities; exclude general HR onboarding tasks” gives ChatGPT both a target and a boundary.

P: Proof and examples

Proof and examples ground the response in your actual information.

You can provide:

• Analytics and performance data
• Research or reports
• Job descriptions
• Customer interviews
• Meeting transcripts
• Product documentation
• Brand guidelines
• Previous approved work
• Examples of the style or structure you want

For the onboarding plan, you might add:

Base the role responsibilities on the job description below: [paste job description] Match the structure of our approved onboarding plan for a sales manager: [paste previous plan] 

Use only these materials as your source, and flag any role-specific information you need that these do not contain.

The job description supplies the factual basis for the role, while the previous plan models the expected structure and quality.

Supplying source material keeps the response grounded in facts you provide, so ChatGPT builds on your evidence instead of drawing on general assumptions. Review important claims, calculations, and recommendations before using them.

T: Tune the response

Tuning means refining ChatGPT’s first response with specific feedback about what to keep, change, add, or remove. This happens over a conversation, and is not necessarily a one-time command. 

Treat the first response as a draft. Review it for:

• Missing information
• Unsupported assumptions
• Generic recommendations
• The wrong level of detail
• Weak organization
• Wrong tone or format for the task

Then tell ChatGPT precisely what to keep and what to change.

For example:

Phase two feels too ambitious. Limit it to two active projects and allow more time for building relationships with the team. Keep the phase-one goals unchanged.

Other useful follow-ups, depending on what the first response needs:

Identify the weakest part of this response and explain how you would improve it.

Keep the recommendations, but make the reasoning more specific to a B2B SaaS company.

Cite the relevant source for each factual claim drawn from my materials. Flag claims where the supporting source is missing. 

Give me a second approach that uses a different underlying strategy.

Rewrite the response using this feedback: [add feedback]

Tuning builds on what the first response gets right. It lets you revise the weak parts without rebuilding the entire response.

PROMPT framework examples

Compare two B2B software tools

Purpose:

Compare [tool A] and [tool B] for [software category] and recommend the better option for [decision-maker roles] in [industry]. 

Relevant context:

The team wants to solve [specific problems] and will use the software for [primary use case]. Relevant requirements include [team size, budget, existing tools, security needs, integrations, or industry-specific constraints].

Output: 

Present the comparison in a table covering: 

• Must-have and nice-to-have features
• How well each tool addresses the stated pain points
• Technical requirements and integrations
• Implementation effort and time to value
• Pricing and total cost considerations
• Key limitations and trade-offs

Must-haves:

Follow the table with a recommendation of no more than 250 words. Base it on the needs of the target audience rather than the number of features each tool offers. Flag any missing information that could change the recommendation. 

Proof and examples:

Use the product documentation, pricing information, customer requirements, and other materials below as your sources: [attach or paste materials] 

Tune:

Give integration compatibility and implementation effort more weight than feature breadth. Update the comparison and explain whether that changes the recommendation.

Analyze D2C customer segments

Purpose:

Analyze the customer reviews, post-purchase survey responses, and return reasons below to identify the main customer segments represented in the data for [product].

Relevant context:

We are a D2C brand selling [product] through our ecommerce store. We want to improve our product-page messaging and paid social campaigns.

Output: 

Present the findings in a table with these columns: audience segment, primary goal, pain point, purchase trigger, objection, customer language, supporting evidence, and messaging implication.

Must-haves:

Create a segment only when multiple customer responses support it. Separate explicit customer statements from your interpretation, and flag any information needed to validate the findings.

Proof and examples:

Use these customer reviews, survey responses, and return reasons as your source material: [attach or paste materials]

Tune:

Segments two and four overlap. Combine them, retain the strongest supporting customer language, and make the messaging implications more specific to paid social ads.

Create a university lesson plan

Purpose:

Create a 90-minute lesson plan for teaching [topic] to [course and year level].

Relevant context:

The class has [number] students with [relevant prior knowledge]. By the end of the lesson, students should be able to [learning outcomes].

Output: 

Organize the plan into an opening activity, direct instruction, guided practice, independent practice, and assessment. Include the time required for each stage.

Must-haves:

Include one in-class check for understanding, and align the final assessment with the learning outcomes. Account for [accessibility needs, mixed ability levels, available resources, or other constraints].

Proof and examples:

Use the course syllabus, assigned reading, assessment rubric, and previous lesson notes below: [attach or paste materials]

Tune:

The direct-instruction section is too long. Reduce it by 10 minutes, add more time for guided practice, and include an alternative activity for students who finish early.

234 best ChatGPT prompts to inspire you

Here are 234 prompts covering nearly every industry. Use each as a template, then replace the bracketed details with context from your own task.

These work across current ChatGPT models. Adjust the wording to your version as needed.

18 ChatGPT prompts for email marketing

These email marketing prompts help you plan, write, test, and improve emails across the full lifecycle, from welcome sequences to post-purchase follow-ups, cold outreach, newsletters, and performance analysis.

1. Welcome email sequence: Create a [number]-email welcome sequence for new subscribers to [product/service], aimed at [target audience]. For each email, provide a subject line, body copy, and send timing. For the first email, specify the delay after subscription; for each subsequent email, specify the delay after the previous email. Use the following product and audience details: [insert details]
2. Lifecycle email audit: Audit the following lifecycle emails for missing coverage, duplication, and conflicting messaging: [insert each email’s name, trigger, timing, audience, purpose, and available performance data]. Recommend the three highest-impact revisions, ranked by their expected effect on [primary metric]. For each recommendation, identify the issue, propose a specific revision, and briefly explain the ranking. Base the ranking on the information provided, and clearly state any assumptions where performance evidence is unavailable.
3. Newsletter strategy: Recommend a newsletter structure and publishing cadence for [audience] based on these business goals and available content: [add details]. Specify the recurring sections for every issue and one distinctive anchor feature that reinforces the newsletter’s identity. Briefly explain why the recommended structure and cadence fit the stated goals and content capacity.
4. Email segmentation: Recommend [number] actionable, mutually distinct audience segments for a [campaign type] email campaign designed to support [campaign goal]. Use only the following attributes available in our email platform: [insert list of attributes]. For each segment, specify the selection logic, personalization approach, and a directional hypothesis for its effect on [primary metric], with a brief explanation. Do not invent numerical lift estimates without supporting performance data.
5. Cold email sequence: Draft a [number]-email cold outreach sequence to [target audience] promoting [offer]. Use the following information about the audience, sender, offer, proof points, and desired CTA: [insert details]. For each email, provide a subject line, body under [word count] words, CTA, and send timing. Label the first email Day 0; for each subsequent email, state the number of days after the previous email. Use only the claims and proof points provided.
6. Post-purchase email sequence: Craft a three-email post-purchase sequence for customers who just bought [product/service]. Confirm the purchase and set expectations in the first email, help the customer get value from the product in the second, and invite a review or referral in the third. For each email, provide a subject line, body copy, CTA, and send timing. Label the first email Day 0; for each subsequent email, state the number of days after the previous email. Use the product and brand information exactly as provided, and do not invent features, guarantees, or incentive terms. [insert product and brand information]
7. Sunset flow for unengaged subscribers: Draft a [number]-email sunset flow for email subscribers who have not opened or clicked an email in [time period]. Give subscribers a clear final chance to re-engage before removal, respect their attention (no false urgency or guilt), and state what will happen if they don’t respond. For each email, provide a subject line, body copy, CTA, and send timing. Label the first email Day 0; for each subsequent email, state the number of days after the previous email. Use only the brand voice and re-engagement offer information provided. Context: [insert brand voice and offer details]
8. Special offer email: Draft a re-engagement email for customers of [company] who have not purchased from us in [number of months]. Include a subject line, preview text, concise body copy, and one clear CTA. Present the following offer exactly as provided, without inventing urgency, eligibility requirements, deadlines, or restrictions: [insert offer details]. Use this additional information about the audience, product, and brand voice: [insert details]
9. Newsletter writing: Write this week’s newsletter for [target audience] about [content or theme], using the source material below. Include [number] headings and [number] paragraphs of two to three sentences each. Use a [tone] tone, prioritize [newsletter objective], and end with a CTA encouraging readers to [desired action]. Do not introduce facts or claims that are not supported by the supplied material. Source material: [insert content]
10. Subject line A/B test variations: Write [number] subject line variations for an A/B test on a [type of email, e.g., promotional, newsletter, re-engagement]. Each variation should test one specific hypothesis (e.g., question vs. statement, curiosity vs. clarity, personalization vs. generic). Label each variation with the hypothesis it tests. Keep all variations under [character limit], noting counts should be verified before sending. Use only the offer and product claims provided; do not invent statistics, urgency, or scarcity to create curiosity. Context: [insert email purpose, audience, and offer]
11. Event email sequence: Draft a [number]-email sequence promoting and following up on [webinar or event] for [target audience], covering invitation, reminder, day-of, and post-event follow-up with the replay or next step. For each email, provide a subject line, body copy, CTA, and send timing. Label the event date Day 0; for each other email, state the number of days before or after the event. Segment the follow-up so attendees and no-shows get relevant next steps based on their attendance. Use the event and brand information exactly as provided, and do not invent speakers, dates, or offers. Context: [insert event details, audience, and desired next step]
12. Product announcement email: Draft an announcement email introducing [new product, feature, or update] to [target audience]. Include a subject line, preview text, body copy that explains what’s new and why it matters to the reader, and a clear CTA. Base the announcement only on the product details provided. Do not invent features, availability dates, pricing, or customer benefits. Context: [insert product and audience information]
13. Email deliverability audit: Based on the email program data below (bounce rate, spam complaint rate, engagement rate by segment, and any recent changes to sending volume or content), identify the top three likely deliverability issues and what to investigate first for each, ranked by expected impact on inbox placement. If addressing an issue would require DNS-level authentication changes (SPF, DKIM, DMARC), sending infrastructure adjustments, or ESP configuration, flag it and recommend consulting the technical team or ESP documentation rather than prescribing the fix. Data: [insert email program data]
14. Email opening copy variations: Write [number] email opening variations for an email about [email purpose, e.g., promotion, announcement, newsletter issue]. Each variation should include a preheader line, an opening headline, and a supporting subheading. Match the [tone] tone. Keep the headline under [character limit], noting counts should be verified before sending. Use only the offer and product details provided; do not invent claims, urgency, or scarcity. Context: [insert email purpose, audience, and offer]
15. Email CTA button copy variations: Write [number] CTA button copy variations for an email about [email purpose]. Each button should be two to five words, action-oriented, and specific to what the reader gets on the other side of the click (not generic like “Click here”). Vary the emotional appeal across variations: urgency, curiosity, direct value, or social proof. Note which appeal each variation uses. When using urgency or social-proof appeals, base them only on real offer conditions or supplied proof points, not invented ones. Context: [insert offer and audience]
16. Lead magnet promo email: Draft an email promoting [lead magnet, e.g., ebook, checklist, template, report] to [audience segment, e.g., non-subscribers, blog readers, event attendees]. Include a subject line, preview text, body copy that names the specific outcome the reader gets from the lead magnet, and a CTA to download. Use only the lead magnet details provided and do not invent statistics, testimonials, or download counts. Context: [insert lead magnet details, audience, and delivery method]
17. Lead nurture email sequence: Draft a [number]-email lead nurture sequence for [audience segment, e.g., ebook downloaders, webinar registrants, free trial signups] moving them toward [conversion goal, e.g., sales conversation, product signup, purchase]. For each email, provide a subject line, body copy, CTA, and send timing. Label the first email Day 0; for each subsequent email, state the number of days after the previous email. Balance educational content with soft product mentions across the sequence, and vary the CTA type (learn more, book a call, start a trial) based on the reader’s likely readiness at each stage. Use only the audience insights, product information, and proof points provided; do not invent case studies, statistics, or customer outcomes. Context: [insert audience segment, product information, and proof points]
18. Email performance analysis: Analyze the email performance data below and identify what’s working, what’s underperforming, and what to test next. Focus on open rates, click-through rates, conversion rates, and unsubscribe rates by segment or campaign type. Recommend the top three tests to run, ranked by expected impact. Base recommendations on the data provided and clearly flag where performance evidence is limited. Data: [insert email performance metrics]

For prompts covering other marketing channels, see our guide to ChatGPT prompts for marketing.

18 ChatGPT prompts for content creation

These content creation prompts cover the writing workflow: planning, drafting long-form pieces, editing and rewriting, and adapting content for different platforms.

1. Introduction: Write a 100-word introduction for a blog post on [topic] for [audience]. Lead with the main takeaway, frame the reader’s problem and its stakes, and preview what the article will help them do. Use [keywords] naturally. Match the tone and structure of this example, not the wording: [Insert example]
2. Video outlining: Create an eight-to-10-minute YouTube tutorial outline on [topic] for [audience]. Include a hook, step-by-step sections with timestamps and visual cues, and a final CTA to [action]. Optimize the title and structure for [keywords or search intent]. Use: [Insert additional information]. Style reference: [Insert example]
3. Content calendar: Create a three-month content calendar with [number] blog ideas for [audience], using [keywords] to support [goal]. Mix formats where they fit the search intent and avoid overlapping topics. For each entry, include: [insert the fields you want, e.g., working title, target keyword, format, funnel stage]
4. Email newsletters: Write five approximately 300-word newsletter emails for [audience] on [topic]. Give each a distinct angle, subject line, practical takeaway, and CTA to [action]. Base every claim on the source material provided: [Insert information]
5. Discussion questions: Generate [number] open-ended discussion questions about [topic] that encourage readers to share experiences and opinions. Present them as a numbered list. Style example: [Insert example]
6. Podcast script: Write a [duration]-minute podcast script on [topic] for [audience]. Include an opening hook, structured segments, transitions, and a closing CTA. Base all claims on the source material provided: [insert source material or context] 
7. Whitepaper: Write a whitepaper on [topic] for [audience], under [number of words]. Cover [required sections or questions] using only this information: [Insert additional information]. Flag claims that need verification.
8. Interview summary: Summarize this interview in [number] words or fewer. Capture the main insights, distinctive viewpoints, and actionable takeaways. Preserve speaker attribution and add nothing beyond the transcript: [Paste interview]
9. Article summaries for social sharing: Summarize the three most important takeaways from this blog post as concise, LinkedIn-ready bullets. Base them only on the article: [Insert blog post copy]
10. Editing for flow and concision: Edit this text for flow and concision while preserving its meaning, voice, and factual claims: [Paste text]
11. Revision for brand voice: Rewrite this excerpt in our [describe brand voice] voice while preserving its meaning and factual claims: [Insert excerpt]
12. Subtopic ideation: Suggest three to five non-overlapping subtopics for a content hub on [main topic] for [audience]. For each, state the specific question or need it addresses.
13. Blog-to-video ideation: Review the blog post below and suggest [number] video concepts based on it for [brand or channel] targeting [audience]. For each concept, identify the section or idea from the post it draws on, the format (tutorial, explainer, demo, talking-head), and the specific hook. Draw each concept from a different section of the post: [paste blog post]
14. Video script: Write a [duration] video script on [topic] for [platform] and [audience]. Include an immediate hook, section-by-section narration with visual cues, and a final CTA to [action]. Use: [Insert source material or context]
15. Content brief for a writer: Create a content brief for a [format] on [topic] for [audience], targeting [primary keyword or search intent]. Include the angle, recommended structure, key points, and word count.
16. Case study interview questions: Write [number] customer case study interview questions about [product or use case]. Cover the prior problem, decision, implementation, measurable outcomes, and lessons. Phrase the questions to elicit specific, quotable answers.
17. Content repurposing plan: Create a plan to repurpose this [pillar asset] into [number] distinct pieces for [channels]. For each, specify the angle, format, and publishing channel. [Paste asset]
18. Ebook outline: Create an ebook outline on [topic] for [audience]. Include the chapter structure, the specific point each chapter makes, and the takeaway for the reader.

If you’re working with a small team (or need to scale content without sacrificing quality), Semrush’s Content Toolkit makes it easy. 

It combines competitor data with generative AI to help you find high-potential topic ideas, build SEO briefs, generate complete SEO-friendly drafts, and refine, optimize, and publish your content, all from one place.

18 ChatGPT prompts for SEO

These SEO prompts cover keyword research, on-page optimization, technical SEO, and enhanced search visibility including AI Overviews and E-E-A-T signals.

1. Meta description: Write a meta description of no more than 135 characters for this article. Include naturally, summarize the page accurately, and give readers a clear reason to click. Return the description and character count. Article or outline: [Insert content]. Style examples: [Insert examples]
2. FAQs: Create five non-overlapping FAQs for [topic] based on [audience questions or search data]. Use [keywords] only where natural. Answer each in 150 words or fewer using the content below, without repetition or unsupported claims. [Insert article and sources]
3. Subheadings: Write 10 concise H2s for 234 ChatGPT prompts (and how to write your own) using this outline. Organize the article logically, match search intent, and use [keywords] only where relevant. Avoid overlap and clickbait. Outline: [Insert outline]. Style examples: [Insert examples]
4. Schema: Create valid JSON-LD [schema type] markup for [page]. Follow current Schema.org and Google Search requirements. Use only visible, supplied facts; do not invent values. Flag missing required fields. Details: [Insert page details]. Example: [Insert example]
5. Article improvements: Compare my article with the three competitor articles below for in [market]. Identify prioritized gaps in coverage, readability, structure, and usefulness, with specific revisions. Do not copy competitor wording. My article: [Insert text]. Competitors: [Insert article text]
6. Blog post title ideas: Suggest [number] accurate, compelling blog titles for [audience] targeting and [search intent]. Keep them distinct and use the keyword naturally. Context: [Insert topic or angle]. Style example: [Insert example].
7. Internal linking: Using the page and sitemap below, suggest three to five relevant internal links. For each, give the source section, target URL, and natural anchor text of no more than [number] words. Page: [Insert page]. Sitemap: [Insert sitemap]
8. Robots.txt: Draft a robots.txt for [domain] using User-agent: *. Disallow only these crawl paths: [insert list]. Include Sitemap: [absolute URL]. Do not include noindex or any other unsupported directives. Flag rules that may block important pages or resources, and note that robots.txt controls crawling, not indexing.
9. Content gaps: Using my sitemap and [keyword, Search Console, or competitor data], identify non-overlapping content gaps. For each, give the topic, intent, target keyword, evidence, and priority. Label unvalidated assumptions. Sitemap: [Insert sitemap].
10. Hreflang: Generate reciprocal HTML hreflang tags for these fully qualified page variants: [insert each URL and language-region code]. Include self-references, and an x-default entry if provided: [x-default URL, optional]. Flag any invalid language or region codes, then return the HTML, noting that the identical tag set must appear on every listed variant.
11. XML sitemap creation: Create a valid XML sitemap for these fully qualified, canonical, indexable URLs: [insert URLs]. Use the standard sitemap namespace and add <lastmod> only where dates are supplied. Return XML only.
12. Canonical audit: Using the crawl export below (URL, HTTP status, final URL, declared canonical), report whether each URL’s canonical is self-referencing, and flag missing or multiple canonicals, cross-domain targets, redirect chains, 4xx/5xx responses, and canonicals pointing to non-200 URLs. Summarize the issues by priority. Website: [website]. Crawl data: [paste crawl export from Semrush’s Site Audit]
13. RegEx: Write an RE2 regex for Google Search Console that

    

    Copy-ready 234 ChatGPT prompts for marketing, SEO, sales, and 10+ use cases, plus the PROMPT framework for writing your own.

    . It should match [examples] and exclude [examples]. Return the regex, a brief explanation, and test cases.

14. Jumplinks: Create a jump-link list and matching <h2 id=””> tags for these headings: [insert headings]. Use unique, lowercase, hyphenated IDs containing only letters, numbers, and hyphens. Return HTML only.
15. AI Overview optimization: Review this article for [query]. Identify three sections where an answer-first rewrite would improve clarity and completeness, then rewrite them without removing necessary context or adding unsupported claims. Do not claim this guarantees AI Overview inclusion. Article: [Paste article]
16. E-E-A-T audit: Audit this article and its supporting page signals using E-E-A-T as a self-assessment framework, prioritizing trust. Identify evidence, gaps, and specific fixes; do not assign a ranking score. Include the article, author bio, sources, and site context: [insert details]
17. Content refresh: Audit this article for a refresh. Mark what to keep, update, remove, and add. Verify time-sensitive claims, statistics, links, and tools against current authoritative sources and cite them. If you cannot verify a claim, flag it for manual checking rather than confirming it. Article and publication date: [insert details]
18. Keyword list and clustering: Using [seed terms or keyword data], generate [number] candidate keywords for [topic], [audience], and [market]. Include head and long-tail terms, cluster them by [search intent or funnel stage], and flag volume and difficulty for tool validation.

ChatGPT can generate keywords, but validate them before deciding what to target. Enter the list in Semrush’s Keyword Overview tool’s Bulk Analysis report to compare search volume, intent, difficulty, CPC, and trends.

Here’s how to do this:

First, prompt ChatGPT to generate a list of keywords.

Next, input the list into the Keyword Overview tool and click “Search.”

Semrush will give you information like keyword search volume, search intent, and keyword difficulty.

Now, choose the best keywords based on intent, volume, and difficulty.

You can also click on any keyword for a more complete analysis, including keyword variations, related questions, and more.

18 ChatGPT prompts for social media marketing

These social media prompts cover platform-specific posts, content ideation, and campaign planning across X, LinkedIn, Instagram, TikTok, Facebook, and Pinterest.

1. X thread: Write a five-to-seven-post X thread on [topic] for [audience] using the information below. Keep each post under 280 characters, open with a strong hook, make each post add a distinct point, and end with a CTA to [action]. Use hashtags or emojis only if they fit the brand voice. Information: [Insert information]. Style reference: [Insert example]
2. X post: Using this blog post https://www.semrush.com/blog/chatgpt-prompts/, write one X post of no more than 280 characters for [audience]. Lead with the strongest supported insight and end with a reason to read. Preserve statistics exactly. Avoid hashtags and @mentions. If you cannot access the link, say so rather than summarizing from general knowledge. Style examples: [insert examples]
3. Engagement on Facebook: Write a two-to-three-sentence Facebook post inviting [audience] to share [type of response or media] about [topic]. Use an upbeat tone consistent with [brand voice] and include one clear question. Suggest a hashtag only if useful. Style reference: [insert example]
4. LinkedIn post: Write a 100–150-word LinkedIn post on [topic/keyword] for [audience] using the information below. Lead with a clear insight, preserve any statistic exactly, use short paragraphs, and end with a relevant discussion question. Information: [Insert paragraph]. Style reference: [Insert example]
5. Instagram post ideation: Suggest [number] Instagram post ideas for [company event] targeting [target audience]. Vary the formats, including images, videos, carousels, and interactive posts. For each, give the concept, format, and hook.
6. Instagram Story ideas: Suggest [number] Instagram Story ideas for [company name] about [topic or campaign], targeting [target audience]. For each, include the frame sequence and an interactive element. Use this brand voice: [brand voice].
7. Pin description: Write a Pinterest description for [topic and features], aimed at [audience] and linking to [destination]. Include these keywords naturally and end with a clear CTA: [Insert keywords]
8. Topical social posts: Suggest [number] social post ideas for a [company industry] company about [company-related topics], targeting [audience] on [social media platforms]. For each, include the platform, angle, format, and hook.
9. Pinterest board ideas: Suggest [number] Pinterest board ideas for this [company type] company and [target audience]. For each, provide a board name, theme, and three example Pin topics. Company and audience context: [Include supplemental information]
10. Customer success story post: Write a [social media channel] post for [audience] based on this customer story. Highlight the problem, solution, and verified outcome, then end with a CTA to [action]. Use only the details and outcomes in the story provided. Story: [customer story]
11. TikTok bio: Write three TikTok bio options under 80 characters for [company] and [target audience]. Communicate the main value proposition in a [brand voice] tone and include [CTA, if needed]. Company information: [insert company information]
12. Video hook ideas: Write [number] TikTok hooks for videos about [topic], aimed at [audience]. Make each hook distinct and consistent with [brand voice]. Match the style of these examples, but not the wording: [insert examples]
13. Ebook promotion: Write a LinkedIn post of [word count] words or fewer promoting our ebook on [topic] to [audience]. Highlight its main value, use only the supplied details, and include this URL [website URL]. Ebook details: [Insert information]
14. Blog-to-Instagram post conversion: Rewrite this blog section as an Instagram caption of no more than [length] characters for [audience]. Preserve its meaning and factual claims, use a conversational tone, and end with a CTA. Provide [number] relevant hashtags separately. Content: [Insert content]
15. Raising awareness: Suggest [number] social media challenge ideas for [platform] supporting [name of cause]. Align them with our brand’s approved role, encourage [donating, volunteering, or another approved action], and make participation accessible and respectful. Do not invent partnerships or impact claims. Context: [insert details]
16. Location-based event promotion: Create a [chosen format] social promotion plan for our pop-up at [location] on [date], targeting [local audience] on [platform]. Include pre-event, event-day, and follow-up content, using feasible location features, partnerships, and interactive elements. Context and budget: [insert details]
17. Multi-part social post series: Outline a story-driven [number]-part series for [social media platform] showing how our [product function] tool helps [audience] achieve [goal]. For each part, include the narrative point, format, supporting evidence, and CTA. Use only these materials: [Insert relevant materials]
18. TikTok trend adaptation: Assess whether [current TikTok trend, sound, or format] is suitable for [brand] in [market]. Explain the fit, note any brand or usage risks, and provide three concept variations. If you cannot verify the trend’s current status, say so and assess fit based on this description: [describe the trend]. Brand voice and product context: [insert details]

Semrush’s Social Toolkit offers an extensive set of tools designed to streamline and automate your social media marketing efforts, from generating content ideas and writing posts with AI to tracking performance and monitoring competitors.

18 ChatGPT prompts for advertising 

These advertising prompts cover paid campaign strategy, Google and Meta ad copy, creative development for video and display, and audience research to inform targeting.

1. Ad campaign strategy: Develop a launch campaign for [product] in [market], targeting [audience] with a [budget] budget. Recommend only justified channels and include messaging, allocation, timeline, tactics, objectives, and KPIs. State assumptions and cite current market trends; if you cannot verify current trends, say so and base recommendations on the supplied context. Context: [insert supplemental information]. Structure reference: [insert example]
2. Slogan idea: Write [number] slogan options of no more than [word count] words for this [industry] brand. Match its audience, positioning, and voice, and add a one-sentence rationale for each. Do not claim originality or trademark availability. Brand context: [insert brand guidelines]. Style reference: [insert example] 
3. Viral marketing ideas: Using current [platform] trends in [market], suggest [number] shareable campaign ideas for [brand]. For each, include the concept, participation mechanic, format, hashtag, and why audiences may share it. Include [number] UGC ideas and cite trend sources; if you cannot verify current trends, say so and base ideas on the supplied context. Do not predict virality. Context: [insert information]
4. Radio script: Write a 30-second radio script for [product/service/brand] targeting [audience]. Include the verified promotion, primary benefit, brand name, and CTA. Use offer terms exactly and include any required disclaimer. Information: [Paste product and promotion details]
5. Ad campaign assets: Create [number] campaign message angles and slogan options for [product/service] targeting [audience]. Recommend the best channels based on [objective], budget, audience, and offering, with a brief rationale. Context: [Insert supplemental information]
6. Storyboarding: Create a [duration]-second TV commercial storyboard for [product/service] targeting [audience]. For each scene, include timing, visuals, dialogue or audio, on-screen text, and CTA. Use only these verified benefits: [Insert information]
7. Banner ad ideation: Develop [number] banner-ad concepts for an ecommerce seasonal sale targeting [audience] across [placements or sizes]. For each, provide the headline, CTA, visual direction, and adaptations by size. Use the sale terms exactly. Context: [Insert information]
8. Targeted ad strategy: Develop an advertising strategy for [product/service] targeting [audience] in [market], given [budget and objective]. Recommend channels, messaging, targeting criteria, and KPIs. Use evidence rather than stereotypes and flag prohibited or sensitive targeting risks. Audience details: [insert details]
9. YouTube ad script ideas: Suggest [number] [ad format and duration] YouTube ad concepts for [product] targeting [audience]. For each, include a hook for the opening [number] seconds, the message angle, visual approach, and CTA. Context: [insert information] 
10. YouTube script: Write a 60-second [YouTube ad format] script for [product/service] targeting [audience]. Include timestamps, narration, visual cues, verified benefits, and a final CTA. Information: [Insert company and product details]
11. Ad headline variations: Write three [channel] ad headlines under [character limit] characters for [offering]. Target a different supplied pain point in each and connect it to a verified benefit. Context: [Insert product, audience, and pain-point information]
12. Lead generation ideas: Recommend [number] lead-generation strategies for [industry and market], targeting [ideal customer] with [budget or resources]. For each, explain the fit, funnel stage, implementation, and [number] metrics. Include offline tactics only where justified.
13. Google Ads sitelinks and callouts: Write [number] sitelinks (25 characters or fewer, each with two 35-character description lines), [number] callouts of 25 characters or fewer, and [number] structured snippet values of 25 characters or fewer under a header from Google’s predefined list (such as Services, Types, or Brands), for [product/service], targeting the search intent behind [keyword group]. Make each asset distinct and useful on its own. Use only the product claims provided, and do not invent features, pricing, or offers. Product context: [product information]
14. Meta ad copy: Write [number] Meta ad variations for [placement and objective], targeting [audience]. Keep primary text within 125 characters and headlines within 40; add a concise description where supported. Include character counts, noting they should be verified before publishing, and use only verified claims. Context: [insert product and audience details]
15. Target audience research: Using [customer research, survey data, or cited sources], identify [number] recurring challenges faced by [buyer persona] related to [product area]. Explain why each matters and cite the supporting evidence. Label unsupported ideas as hypotheses. Style reference: [Insert example]
16. YouTube in-stream ad script: Write a 15-second YouTube in-stream ad script for [product/service] targeting [audience]. Include timestamps, the verified USP, visual cues, and a clear CTA. Information: [Insert product and USP details]
17. Multi-channel advertising plan: Create a budgeted launch media plan for [product/service], targeting [audience] with [amount]. Recommend only channels that fit the objective. Include allocation, each channel’s role, flighting, KPIs, and assumptions. Context: [insert details]
18. Billboard ad ideas: Suggest [number] billboard concepts for [offering] targeting [audience] in [location and viewing context]. For each, provide a short headline, dominant visual, brand cue, and optional CTA. Communicate this message: [message]. Context: [Insert brand information]

18 ChatGPT prompts for user experience (UX)

These UX prompts cover user research and personas, interface and interaction design, information architecture and user flows, and accessibility work.

1. User research methods: Recommend [number] research methods for a [platform] redesign based on [research questions, users, stage, and constraints]. For each, state its purpose, procedure, evidence produced, and design decisions it can inform. Include qualitative and quantitative methods where useful; treat journey mapping as synthesis. Context: [insert details].
2. Typography style guide: Outline a typography guide for a [web application] design system. Cover font roles and fallbacks, type scale, weights, line height, spacing, responsive usage, UI elements, accessibility, and [specific considerations]. Structure example: [insert example]
3. Responsive design help: Explain responsive design best practices for a [website], covering fluid layouts, responsive images, media or container queries, accessibility, performance, and cross-device testing. Separate layout guidance from performance recommendations.
4. Gamification strategy: Recommend [number] gamification strategies for a [platform] and [audience] to support [goal]. For each, explain the user need, mechanic, implementation, success metric, and risks. Use rewards, progress, or challenges only where justified.
5. Ethical design audit: Review the engagement mechanics of our [app type] app for dark patterns and manipulative design, including forced urgency, confirmshaming (guilt-based opt-out wording), obstructed cancellation, and attention-exploiting loops. For each issue found, identify where it appears, explain the risk to users and to long-term trust, and propose a respectful alternative that still supports [business goal]. Base the audit only on the flows and features described: [insert app flows and features]
6. User feedback ideas: Recommend methods for collecting and analyzing feedback on a new [feature] in a [platform]. For each, state what it measures, how to run it, how to analyze the findings, and its limitations. Context: [users, research goal, stage, and constraints].
7. Micro-interactions: Suggest [number] micro-interactions for a [app type] app. For each, state the purpose, trigger, feedback, and accessibility requirements. Avoid decorative interactions that interrupt the core task. 
8. Interactive wireframe guidance: Give a step-by-step guide to create and test an interactive wireframe for a [industry] platform in [design tool and version]. Cover the key flow, screens, components, interactions, error states, and sharing.
9. User persona: Create a research-based persona for a [app type] app using the evidence below. Include relevant behaviors, contexts, goals, pain points, accessibility needs, feature needs, and a usage scenario. Exclude unsupported demographics and label assumptions. If evidence is insufficient, call it a proto-persona. Research: [Insert findings].
10. Form best practices: Explain WCAG 2.2-aligned form design practices for web applications. Cover labels, instructions, input purpose, errors, validation, keyboard and focus behavior, and assistive-technology testing. Include concise examples.
11. Information architecture evaluation: Create an evaluation checklist for the information architecture of [website or application]. Cover user goals, navigation, labels, hierarchy, findability, content grouping, and key flows. Include suitable evaluation methods and fixes for common issues.
12. Onboarding optimization: Recommend testable ways to improve onboarding for a [app type] app targeting [audience] and reduce drop-off at [stage]. For each, identify the friction, proposed change, metric, and experiment. Context and funnel data: [insert information]
13. App user flows: Create user flows for a [app type] app covering [scenarios]. Include entry points, happy paths, decisions, error and recovery paths, and end states. Present them as [format] and state any assumptions.
14. Survey questions: Write [number] survey questions for [respondents] to inform [decision] about a new [product type] for [audience]. Mix closed and open questions, avoid leading or double-barreled wording, and state the purpose of each question.
15. Accessibility improvement: Recommend [number] WCAG 2.2-aligned improvements for a [type] website used by people with visual impairments. Cover semantic structure, screen readers, contrast, text resizing and reflow, keyboard focus, images, and forms. For each, include the rationale and test method.
16. User journey map: Explain how to create a research-based journey map for [software or solution] and [user task]. Include scope, stages, touchpoints, goals, actions, pain points, evidence, and opportunities. Separate findings from assumptions.
17. Brand identity web implementation: Explain how to translate [brand] into an accessible, responsive website system. Cover visual tokens, typography, imagery, content voice, components, interactions, and consistency rules. Brand guidelines: [insert details].
18. Usability testing plan: Design a usability test for [product or feature] to evaluate [design decision]. Include the method, participant criteria, tasks, success measures, post-task questions, and analysis plan. Context and research goal: [insert details].

18 ChatGPT prompts for ecommerce

These ecommerce prompts cover product listings and descriptions, customer acquisition and retention, promotional campaigns, and the tracking and analytics that support decisions.

1. Complementary product recommendations: Recommend [number] products from this list that complement [item]. Rank them by verified compatibility and use case, and briefly explain each match. Do not assume features or customer behavior not provided. Product list: [Insert product list]. Style example: [Insert example]
2. Product descriptions: Write a 50-word description for [product] aimed at [audience]. Highlight verified features, benefits, and differentiators in a [tone] voice. Use these keywords only where natural: [Insert keywords]. Product details: [Insert information]. Style example: [Insert example]
3. Chatbot messaging: Write a friendly chatbot message of about 50 words explaining [company]’s return policy. Include the exact return window, conditions, refund method, and next step without omitting important restrictions. Policy: [Insert return policy]. Brand voice: [Insert information]. Style example: [Insert example]
4. Ecommerce tracking setup: Using current Meta documentation, explain how to track [event] on [ecommerce platform] with Meta Pixel and Conversions API. Cover browser and server setup, parameters, consent, event deduplication, testing, and troubleshooting. If you cannot verify current documentation, say so and note which steps may have changed. Context: [insert technical details]
5. Product comparison chart: Create a neutral comparison of [product] and [competitors] covering price, features, limitations, and representative customer feedback, using the product and competitor information provided. Apply the same criteria to each, and where information is missing, mark it as unknown rather than estimating. If you have browsing access, you may supplement with cited, dated sources. Product and competitor information: [insert details]
6. Product listing optimization: Rewrite these product titles using [keywords] naturally while preserving product accuracy and brand voice. Keep each under 60 characters as an editorial limit and provide the character count, noting it should be verified before publishing. Product list: [paste list]. Brand context: [insert information]. Style example: [insert example]
7. Newsletter signup emails: Suggest [number] email concepts encouraging eligible customers to subscribe for [newsletter benefits]. For each, include the angle, subject line, value proposition, and CTA. Context: [insert information]
8. Retargeting ad copy: Write [number] ad variations for [abandoned-cart or product-view] audiences. Highlight verified benefits and use urgency only when supported by a real deadline or availability constraint. Include primary text, headline, and CTA. Context: [Insert audience, product, and offer details]
9. CTA generation: Write [number] two-to-four-word CTA buttons for [page or action], aimed at [audience]. Vary the intent and tone; use urgency only where genuine. Style example: [Insert example]
10. Loyalty program ideas: Suggest [number] loyalty-program concepts for [business and audience]. For each, include earning and redemption rules, customer value, business cost, success metrics, and fraud or compliance risks. Flag rewards involving reviews or social endorsements.
11. Product collection descriptions: Write [number] [word-count]-word collection descriptions for [brand and collections], targeting [audience]. Explain what the collection includes and its main value, using [keywords] naturally. Brand and product information: [Paste details]
12. SMS campaign: Write a [number]-message SMS campaign for consenting customers in [market], promoting [product]. Include timing, sender identification, CTA, and required opt-out wording. Keep offer terms accurate and use emojis only if they fit the brand. Product details: [Paste information]
13. Back-in-stock emails: Draft a [number]-email back-in-stock sequence for customers who requested alerts for [product]. Cover the restock announcement and a follow-up for those who haven’t purchased, and note limited availability only if the supplied inventory information supports it. For each email, include the subject, body, CTA, and send timing from the restock date. Use only verified product and inventory details: [insert product and inventory details]
14. Cart abandonment sequence: Write a [number]-email cart-abandonment sequence for [product category]. Include the subject, body, CTA, and delay from abandonment. Use only the supplied offer terms and avoid false urgency or availability claims. Context: [insert details]
15. Social media contest ideas: Suggest [number] contest concepts for [platform, audience, and market]. For each, include the entry mechanic, prize, content format, participation CTA, and measurement goal. Flag platform-rule, legal, disclosure, and content-rights considerations. Brand context: [Paste information]
16. Product demo video script: Write a [duration] product-demo script for [platform] showing how [product] helps [audience] with [use case]. Include timestamps, narration, demonstrations, visual cues, and a CTA. Use only verified functionality. Product information: [Paste details]
17. Comparison blog post: Write an evidence-based comparison of [product] and [competitor] for [audience]. Compare the same criteria, including features, price, limitations, and representative reviews. Cite and date all external information, distinguish facts from judgments, and avoid unsupported superiority claims. Context: [Paste information]
18. Ecommerce product quiz: Using current documentation for [ecommerce platform/CMS], provide a beginner-friendly guide to build a product recommendation quiz for [collection]. Cover questions, recommendation logic, implementation, testing, analytics, accessibility, data handling, tools, costs, and assumptions. If you cannot verify current documentation, say so and note which steps may have changed.

For marketplace keyword research, Ecommerce Keyword Analytics shows search, click, order, and conversion data across supported online retailers. It requires a separate App Center subscription. 

18 ChatGPT prompts for sales

These sales prompts cover prospecting and outreach, sales conversations, deal advancement, sales enablement, and the strategic work of positioning and retention.

1. Referral program: Design a referral program for [company and audience] within [budget or unit-economics constraints]. Include eligibility, qualifying actions, rewards, referral flow, attribution, promotion, KPIs, and fraud, privacy, tax, or disclosure risks. Context: [Insert customer information]
2. Telemarketing script: Write a [word-count]-word live-call script for [audience] in [market], aiming to secure [next step]. Include an introduction, discovery questions, verified value proposition, [number] likely objections, and a respectful close. Account for applicable consent, Do Not Call, disclosure, and recording rules. Structure reference: [Insert example].
3. Sales training: Create [number] techniques for responding to objections about price, need, competition, and timing. For each, include the principle, a short example, and when to clarify, provide evidence, or acknowledge poor fit. Avoid pressure or emotional manipulation. Context: [Insert product and audience information].
4. Sales pitch help: Suggest [number] sales-pitch angles for [product/service] targeting [customer and sales stage]. For each, include the problem, verified benefit, supporting proof, and CTA. Product information: [Insert information].
5. Follow-up email to warm prospect: Write a follow-up email to a prospect interested in [product/service]. Address only the concerns supported below, provide relevant information, and end with a clear next step. Include a subject line: [Insert concerns and prior interaction].
6. Proposal generation: Draft a proposal for [client] showing how [product/service] addresses the supplied needs. Include objectives, proposed solution, scope, deliverables, timeline, proof, assumptions, and next steps. Do not invent pricing, results, or client details: [Insert pain points and solution information]
7. Cold email sequence: Write a [number]-email partnership outreach sequence for [job title] in [industry and market]. For each email, include the subject, body under [word count], CTA, and delay. Use only supplied personalization and proof, and account for applicable commercial-email requirements: [Insert partnership benefits, social proof, and CTA]
8. Sales deck outline: Outline a [number]-minute sales deck for [company and decision-makers] about [product/service]. Follow this structure: [insert structure]. For each slide, give the purpose, brief content, and one visual or verified data point. Use supplied ROI evidence only; label assumptions. Context: [insert information]
9. LinkedIn prospect messaging: Write a concise LinkedIn outreach message to [role] in [industry] aiming for [next step]. Personalize it only with the supplied information, state the relevant value clearly, and avoid false familiarity. Prospect and product context: [Insert information]
10. Competitive analysis: Compare [product/service] with [competitors] using consistent criteria such as audience, features, pricing, strengths, and limitations. Use the information below as the primary source; where competitor information is missing, mark it as unknown rather than estimating. If you have browsing access, you may supplement with cited, dated sources. Distinguish facts from judgments and identify defensible differentiators rather than assumed advantages. Context: [insert competitor information]
11. Lead qualification: Create a [number]-question lead-qualification questionnaire for [company and product]. Cover fit, need, timing, budget, authority, and implementation readiness. Include scoring guidance and clear qualification or disqualification criteria. ICP: [Insert information]
12. Sales roleplay: Roleplay a realistic [customer type] considering [solution] and concerned about [concern]. Stay in character, ask one question at a time, and challenge unsupported claims. When I say “end roleplay,” evaluate my discovery, responses, and close.
13. Lead nurture strategy: Create a follow-up plan for [lead segment] interested in [product/service] but not yet ready to buy. Include triggers, channels, cadence, content by stage, CTAs, exit criteria, and KPIs. Context: [Insert lead behavior and constraints]
14. Discovery call prep: Prepare me for a discovery call with [job title] at [company type]. Provide five fit questions, three tactful budget and authority questions, and two likely objections with responses. Base them on the supplied context and label assumptions. Context: [Insert prospect information and call goal]
15. Sales playbook: Write a [number]-word playbook for selling [product/service] to [ICP]. Cover sales stages, qualification, discovery, messaging, proof, objections, next steps, handoffs, and success measures. Use only this information: [Insert context]
16. Pricing strategy ideas: Recommend [number] pricing options for [product/service] and [audience] using the supplied costs, margins, value research, and competitor pricing. For each, include the model, rationale, assumptions, risks, and validation test. Context: [insert details] 
17. Value prop refinement: Refine the value proposition for [product/service] and [audience]. State the specific problem, differentiated benefit, and supporting reason to believe in one concise statement. Use only verified information. Context: [Insert product, audience, and current value proposition]
18. Sales enablement content brief: Create a brief for a [one-pager, deck slide, or battle card] supporting [sales moment]. Include the user, sales objective, problem addressed, key messages, required evidence, objections covered, CTA, and success measure. Product context: [Insert information]

18 ChatGPT prompts for customer service

These customer service prompts cover direct responses to inquiries and complaints, scripts and process design, personalization and retention, and the analysis that turns service interactions into improvements.

1. Handling angry customers: Create a step-by-step guide for handling upset customers by phone, chat, and in person. Include [number] de-escalation techniques, sample dialogue, resolution options, boundaries, and escalation or safety criteria. Base it on these policies: [Insert policies]. Style example: [Insert example]
2. Customer inquiry response: Write a friendly email of no more than 200 words responding to this product-availability inquiry. Use only the supplied stock information, suggest relevant available alternatives, and provide a clear next step. Include a subject line. Inquiry and product details: [Insert information]. Style example: [Insert example]
3. Customer service script: Create a billing-support script for [industry]. Include identity verification, diagnostic questions, common explanations, policy-based resolution steps, refund eligibility, and escalation criteria. Do not promise adjustments or refunds outside the supplied policy. Context: [Insert billing and refund policies]. Structure example: [Insert example]
4. Customer experience personalization guidelines: Create [number] guidelines for personalizing customer interactions across [channels]. Cover active listening, empathy, permitted customer data, accessibility, consistency, and privacy boundaries. Context: [Insert audience, channels, and policies]
5. Live chat response: Write a live-chat response helping [customer name] troubleshoot [problem]. Use only the verified steps below, present them clearly, and include what to do if they fail. Do not request sensitive information in chat. Product and troubleshooting details: [Insert information]
6. Customer feedback response template: Create adaptable templates for positive feedback, constructive criticism, and complaints on [channel]. Thank the customer, acknowledge specific feedback, explain the next step without overpromising, and move account-specific issues to private support. Context: [Insert policies]
7. Product/service FAQs: Write [number] concise FAQs for [audience] about [product/service]. Use only the supplied information, prioritize common customer questions, and avoid unsupported claims. Product information: [insert details]
8. Social media complaint response: Write a [length] social response to the complaint below in a [tone] tone. Acknowledge the issue, avoid requesting personal information publicly, and direct the customer to [support channel] when account details are needed. Do not admit fault or promise an outcome without evidence. Complaint and policy: [Insert information]
9. Cross-selling and upselling guidance: Create a guide for recommending relevant upgrades or complementary products during customer-service interactions. Include need-identification questions, suitability checks, example language, disclosure requirements, and when not to sell. Product context: [Insert information]
10. Service phone call script: Write a [length] phone-support script helping a customer use [system or product]. Include verification, diagnostic questions, step-by-step guidance, confirmation, and escalation. Platform details: [insert information]
11. Shipping delay explanation: Write a [number]-word template for shipping-delay and tracking inquiries. Show empathy, state only verified information, explain available next steps, and avoid guaranteeing a delivery date. Order and policy details: [Insert information]. Style example: [Insert example]
12. Refund request response: Write a response to a customer requesting a refund outside our policy. Acknowledge the request, explain the relevant rule clearly, offer only these approved alternatives, and provide an escalation path if applicable: [Insert policy and alternatives]
13. Service incident notification: Write a [channel] notification informing affected customers about [service issue or outage]. State what happened and the impact in plain language, what customers should do now if anything, and when to expect the next update. Use only the verified incident details, avoid speculating about causes, and do not commit to a resolution time unless supplied. Incident details and policy: [insert incident information]
14. Customer satisfaction data analysis: Analyze the survey data below and identify supported service strengths, recurring issues, segment differences, and prioritized actions. Distinguish findings from hypotheses and note sample or data limitations. Survey questions, responses, sample size, and scores: [Insert data]
15. Customer message response: Reply to the message below in a [tone] tone. Acknowledge the concern, explain the verified policy or next step, and give a timeframe only if supplied. Do not guarantee an outcome. Message and policy: [insert details].
16. Sentiment analysis: Classify the feedback below as positive, negative, mixed, or unclear. Identify recurring themes, cite representative excerpts, quantify categories where possible, and distinguish observed language from inferred intent. Note data limitations. Feedback: [Insert data]
17. Service-recovery win-back: Write a [channel] win-back message for consenting customers who lapsed after [service issue or complaint]. Acknowledge the prior experience without over-apologizing, state what has changed or been fixed, include the exact supplied offer or update if any, and end with one low-friction CTA. Avoid false urgency. Context: [insert customer history and offer details]
18. Ticket triage guidelines: Create ticket-triage guidelines for [product and team]. Define urgent, high, medium, and low priority using impact, severity, affected users, workarounds, and safety or compliance risk. Include targets based on the supplied capacity and SLAs, plus escalation examples. Context: [insert details]

18 ChatGPT prompts for software development

These software development prompts cover code writing and review, system design and architecture, testing and debugging, and the documentation and process work that supports shipping.

1. Development course modules: Create [number] sequenced modules for a beginner course on [specialty] for [audience]. For each, include the learning outcome, key skills, prerequisites, and brief rationale. Course length and constraints: [insert details]. Structure example: [Insert example]
2. Animation ideas: Suggest [number] purposeful animations for this web application. For each, include the use case, effect, recommended technology, performance cost, fallback, and reduced-motion behavior. Range from simple CSS to justified JavaScript effects. Context: [Insert product and stack details]
3. Software testing flow: Create a Mermaid flowchart for testing a [system type]. Cover planning, automated and manual tests, integration, security, performance, release gates, defect handling, and production monitoring. Include roles, entry and exit criteria, and assumptions. Context: [Insert architecture and release process]
4. Development roadmap guide: Explain how to create a development roadmap for a new web application. Cover requirements, dependencies, milestones, deliverables, risks, owners, release criteria, and feedback loops. Context: [Insert scope, team, timeline, and constraints]
5. Ideas for incorporating SOLID principles: Suggest [number] practical SOLID improvements for this [language and application type] codebase. For each, show a short before-and-after structure and explain the trade-off. Do not add abstractions without a clear benefit. Context: [Insert architecture or code]. Example: [Insert example]
6. User authentication solutions: Recommend an authentication architecture for [application, users, and risk level]. Compare suitable options and cover account creation, MFA, sessions, recovery, authorization, threats, and implementation trade-offs. Prefer established identity providers and maintained libraries over custom implementations. Stack and constraints: [insert details]
7. Code analysis: Explain this [language and version] code, section by section. Identify confirmed bugs, security risks, maintainability issues, and improvements, with line references. Preserve intended behavior and state assumptions. Code and context: [Insert code]
8. Agile workshop ideas: Suggest [number] workshop topics on agile development for [audience]. For each, include the learning objective, activity, duration, and expected takeaway. Context: [Insert team challenges]
9. Coding challenge: Suggest [number] coding challenges for [experience level] [language or role] developers. For each, include the skill tested, difficulty, requirements, constraints, and evaluation criteria. 
10. Code improvement: Review this JavaScript code for performance. Use the supplied runtime, workload, and profiling data to identify likely bottlenecks, then recommend measurable changes that preserve behavior. Distinguish performance fixes from style improvements. [insert code and context] 
11. RESTful API development: Build a [stack, e.g., Node.js and Express] API for [domain] using [versions]. Include the supplied data model, routes, persistence, validation, authentication and authorization, errors, tests, and API documentation. State setup steps and assumptions. Requirements: [insert details]
12. Software documentation guidelines: Create guidelines and examples for documenting a REST API for [audience]. Cover overview, authentication, endpoints, parameters, schemas, errors, examples, versioning, and changelogs using [documentation format]
13. Refactoring code snippet: Refactor this [language] code for readability and maintainability while preserving behavior. Explain each material change and avoid unnecessary abstractions. Constraints and tests: [Insert context and code]
14. Architectural patterns and tech guidance: Recommend an architecture for [system] based on its scale, workloads, team, reliability needs, data, and deployment constraints. Compare a modular monolith and microservices before recommending patterns and technologies. State trade-offs and assumptions.
15. Code best practices: Explain clean and maintainable coding practices for [language, application type, and team]. Prioritize the [number] practices with the greatest practical impact and include concise examples.
16. Debug assistance: Diagnose the issue below. Rank likely causes by confidence, explain the evidence, and give a specific fix and verification step for each. Expected behavior: [details]. Actual behavior: [details]. Errors, environment, reproduction steps, and code: [insert details]
17. Unit test generation: Write [framework and version] unit tests for this code, covering documented behavior, edge cases, and error handling. Do not invent requirements; flag unclear behavior before encoding it in a test. Code and specifications: [insert details]
18. Code review: Review this [language and version] code. Report confirmed and potential issues by severity across correctness, security, performance, and maintainability. Include line references, reasoning, recommended fixes, and confidence. Context and code: [insert details]

18 ChatGPT prompts for data science

These data science prompts cover exploratory analysis and visualization, model building and evaluation, feature engineering, and applied work like data cleaning and synthetic data generation.

1. Model training: Write Python code to train and tune a [model] for predicting [target]. Use [libraries and versions], prevent data leakage, and evaluate it with [metric] on an untouched test set. Include preprocessing, cross-validation, reproducibility, and concise comments. Data schema and constraints: [insert details]
2. Data visualization: Write Python code to explore this [subject] dataset using appropriate univariate, bivariate, and correlation visualizations. Handle missing values and outliers transparently rather than altering them automatically. Comment on each plot’s purpose, not its conclusions. Data schema: [insert details]
3. Synthetic data: Generate a reproducible CSV with [rows] rows and this schema: [Insert columns, types, ranges, distributions, and relationships]. Use no real personal data, label the dataset synthetic, validate the constraints, and provide the Python generation code.
4. Customer churn prediction: Build a churn model from the supplied dataset and churn definition. Prevent temporal leakage, compare suitable models, evaluate class-sensitive metrics and thresholds, and explain model associations without presenting them as causal drivers. Include reproducible Python code. Context: [insert details]
5. AutoML for fraud detection: Using [AutoML library, e.g., FLAML or TPOT], write Python code to select a fraud-classification pipeline through training-set cross-validation. Keep the test set untouched until final evaluation and report ROC AUC, PR AUC, precision, recall, confusion matrix, and threshold trade-offs. If you are unsure of the library’s current API, say so and provide the pipeline structure with placeholders rather than guessing method names. Data schema and costs: [insert details]
6. Python regex: Write a practical Python regex for email addresses under these assumptions: [allowed formats]. Include accepted and rejected test cases, explain its limitations, and recommend parser or verification-based validation where appropriate.
7. Predictive model: Build a model to predict [target] from time-ordered historical data. Train on earlier observations and evaluate with rolling validation ending in the most recent month. Prevent future-data leakage and report [metrics]. Data and business context: [insert details]
8. NLP model: Write Python code for binary sentiment classification of these customer reviews using [libraries]. Include data splitting, preprocessing appropriate to the model, a baseline, training, class-aware evaluation, and error analysis. Data schema: [insert details]
9. Dataset generation: Generate a synthetic sentiment-analysis CSV with [number] rows and two columns, text and label. Use this domain, label definition, class balance, and language style: [insert details]. Avoid duplicates, keep examples unambiguous unless the label definition includes a mixed or neutral class, validate the output, and label it synthetic.
10. Data scraper: Write a Python scraper for [URL] that extracts [fields] into [CSV/JSON]. Respect permitted access and robots.txt, use rate limiting, and handle pagination, errors, retries, and missing fields. Use the site structure and constraints below: [insert details]
11. Recommendation system: Write Python code for a [recommendation objective] ecommerce recommender using browsing and purchase data. Include preprocessing, a baseline, train–validation splitting, cold-start handling, offline metrics, and recommendation examples. Data schema and constraints: [insert details]
12. Dimensionality reduction: Write scikit-learn code to apply PCA to this numeric dataset. Handle missing data, scale features where appropriate, report explained variance, and plot the first two or three components with matplotlib. State whether PCA is suitable. Data schema: [insert details]
13. Metric calculations: Write code to calculate these CLV metrics: [metrics]. Define each formula and use the supplied revenue, margin, time horizon, churn, and discount-rate assumptions. Return customer-level results and summary checks. Data schema: [insert details]
14. Analysis code cleanup: Restructure this exploratory analysis script or notebook into clear, reproducible code while preserving its outputs. Separate data loading, transformation, and analysis steps, remove dead code and duplicated logic, and explain material changes. Do not claim performance gains without evidence. Code and context: [insert details]
15. Dashboard creation guidance: Explain how to build a Plotly Dash dashboard for [users] to monitor [KPIs] from this sales dataset. Cover data preparation, layout, filters, charts, refresh behavior, validation, accessibility, and deployment. Data schema and library versions: [insert details]
16. Help cleaning raw data: Create a cleaning plan for this customer-feedback dataset. Profile missing values, duplicates, formats, and text quality; recommend justified treatments; preserve the raw data; and record every transformation. Schema and intended analysis: [insert details]
17. Anomaly detection: Write Python code to flag anomaly candidates in this dataset using Isolation Forest. Explain preprocessing and contamination assumptions, return scores and flags, visualize the results where feasible, and describe how to validate them with domain evidence. Data schema: [insert details]
18. A/B test analysis: Analyze this A/B test using the appropriate method for [metric]. Check sample sizes, allocation, assumptions, and data quality; report effect size, p-value, confidence interval, and practical significance; and give a recommendation with limitations. Test data and design: [insert details]

Further reading: How to Use Data Science to Improve SEO

18 ChatGPT prompts for learning and development

These L&D prompts cover course and program design, learner engagement and interactive activities, assessments, and the strategic planning that connects learning to business outcomes.

1. Course ideation: Suggest [number] leadership course topics for [audience] in [industry], based on these capability gaps and business goals: [insert context]. For each, include its relevance and [number] measurable learning objectives. Include one current industry challenge drawn from the supplied context. Structure example: [insert example] 
2. Interactive activity ideas: Suggest [number] online activities for a digital-marketing course for [audience]. For each, include the learning objective, activity, implementation, practice or feedback method, and accessibility considerations. Use varied modalities where appropriate. Style example: [insert example]
3. Mind map outline: Create a mind-map outline for training [team] in [skill]. Include skill areas, subskills, key concepts, practice activities, and workplace applications. Add a branch on relevant emerging developments. Context: [insert details]. Structure example: [insert example]
4. Broad course ideas: Propose [number] entrepreneurship course concepts for learners aged [age range] interested in [niche]. For each, include the outcomes, core topics, practical project, and feasible interactive elements. Target skills: [skills]
5. Social learning integration: Suggest [number] ways to apply social learning in [course context]. For each, include the learning objective, peer interaction, facilitation method, and evidence of learning.
6. Video tutorial presentation: Suggest [number] ways to explain [complex topic] in a beginner video tutorial for [job title]. For each, include the presentation approach, visual treatment, example, and accessibility considerations.
7. Diversity and inclusion training: Design a [duration] inclusion-training session on [focus area] for [audience]. Include objectives, evidence-based activities, facilitation guidance, psychological-safety measures, and evaluation. Treat any implicit-bias test as optional, private, and non-diagnostic. Context: [insert business goals]
8. Brainstorming: Suggest [number] creativity-workshop activities for [job title]. For each, include the objective, instructions, duration, materials, and debrief question. Context: [insert participant needs]
9. Group discussion ideas: Suggest [number] group-discussion activities that support this problem-solving objective: [objective]. For each, include the prompt, group format, duration, facilitator guidance, and debrief. Learner context: [insert details]
10. Training program outline: Create a training outline on handling difficult customers in [industry] for [audience]. Include learning objectives, modules, practice activities, policy and safety boundaries, assessment, and duration. Context: [insert policies and challenges]
11. Assessment creation: Design an assessment aligned with [standard or competency framework] and these learning outcomes: [insert outcomes]. Include an assessment blueprint, suitable question types, scoring guidance, answer key or rubric, and a brief rationale for each component. 
12. Scenario examples: Create [number] conflict-resolution scenarios for [audience and setting]. For each, include the conflict, roles, relevant constraints, decision points, and debrief questions.
13. Interactive training session: Design a [duration] onboarding program for new [role] hires. Include a week-by-week structure covering role skills, tools, processes, and team integration, plus milestones, manager and buddy responsibilities, and a check at [interval] to assess readiness. Base the program on the supplied role expectations and resources: [insert role and company context]
14. Role-playing exercise: Create a conflict-resolution role-play for [audience and setting]. Include the scenario, roles, objectives, instructions, observer checklist, facilitation guidance, and debrief questions.
15. Learning objectives: Write measurable learning objectives for a course on [topic] for [audience]. Use appropriate Bloom’s taxonomy verbs and specify the observable behavior, conditions, and success criteria.
16. Learner feedback survey: Design a survey for participants completing [training]. Measure reactions, perceived learning, applicability, and intended or self-reported application. Include rating and open-ended questions and distinguish perceptions from verified behavior change. Context and survey timing: [insert details]
17. Microlearning module: Design a [duration] microlearning module on [topic] for [audience]. Include one learning objective, core content, one practice activity, and a knowledge check. Focus on one skill or concept.
18. Learning strategy for a business outcome: Design a learning strategy supporting [business outcome]. Identify audience capabilities, performance gaps, suitable interventions, workplace supports, and measures of learning, application, and business contribution. Flag non-training barriers. Context: [insert business information]

Keep in mind that while ChatGPT can provide suggestions for diversity and inclusion initiatives, it’s not a substitute for professional expertise. Always consult with a qualified expert to ensure your initiatives are culturally competent and impactful.

18 ChatGPT prompts for teaching

These teaching prompts cover lesson planning, student engagement and active learning, assessments and rubrics, and the classroom management and communication that support learning.

1. Activity development: Design a [length] project-based unit for a [grade] [subject] class addressing [issue]. Integrate [second subject], [skill], and [component], culminating in [final product]. Include objectives, daily plans, resources, assessment rubric, and accessible differentiation. Context: [insert standards and constraints]. Example: [insert example] 
2. Study guide: Create a [length] study guide for a [subject] exam using the syllabus and materials below. Include concise explanations, key terms, worked examples, useful memory aids, and common misconceptions. Flag topics not supported by the source material. Context: [Insert exam scope and sources]. Structure example: [Insert example].
3. Science experiment: Design a 45-minute experiment demonstrating [concept] for [level]. Include objectives, setup and cleanup time, materials, instructions, discussion questions, reflection, accessibility options, and extensions. Add a hazard analysis, precautions, supervision, disposal guidance, and a safer alternative where needed. Context: [Insert school rules and resources].
4. Active learning strategies: Suggest [number] scalable active-learning strategies for a [number]-student undergraduate class on [subject]. For each, include the learning objective, procedure, time, technology or materials, accessibility, and evidence of understanding. Context: [Insert room and teaching constraints].
5. Tech integration: Recommend technology-supported activities for a [level] [topic] curriculum. For each, identify the learning objective, tool, learner task, accessibility and privacy considerations, cost, and a non-digital alternative.
6. Targeted tutorial: Explain how to solve [equation] using [formula or method]. Verify that the method applies, show each step, explain the reasoning, check the answer, and note common errors.
7. Rubric development: Create an analytic rubric for [assignment] in a [grade] [subject] class. Align criteria with these learning outcomes: [Insert outcomes]. Include observable descriptors, [number] performance levels, and weights totaling 100%. Example criterion: [Insert example].
8. Mind map: Create a text-based mind map connecting key events during [period]. Show chronology and label each relationship as cause, consequence, influence, response, or parallel development. Use these events and sources: [Insert information].
9. Family engagement plan: Design a plan to strengthen family engagement in a [level] school. Include accessible two-way communication, home-based participation, flexible collaboration options, family input, and measures of participation. Address language, technology, time, and accessibility barriers. Context: [Insert school information].
10. Flashcards: Create [number] flashcards for a [level] [language] class. Include the word, its [language] translation, part of speech, level-appropriate sentence, and an optional verified mnemonic or cultural note. Use [dialect or region], and flag any translations you are not confident in for verification with a native speaker or dictionary. Format example: [insert example]
11. Motivation techniques: Recommend strategies to support engagement and persistence among [level] students experiencing [challenge]. Cover relevance, choice, belonging, achievable challenge, feedback, and appropriate incentives. For each, include the use case, implementation, and potential risk. Context: [Insert learner needs].
12. Online course module: Design a [duration] online module on [topic] for [audience] in [platform]. Include objectives, concise content, appropriate multimedia, practice, accessible navigation, and immediate feedback. Use multimedia only where it supports the learning goal.
13. Professional development plan: Create a professional-development plan for teachers integrating technology into [context]. Include baseline needs, measurable goals, training, practice, coaching, resources, timeline, accessibility, and evaluation. Constraints: [Insert tools, budget, and policies].
14. Lesson planning: Create a [duration] lesson on [topic] for [level]. Align it with [standards or outcomes] and include prior knowledge, materials, instruction, guided and independent practice, accessibility supports, assessment, and extension. Context: [Insert class needs].
15. Collaborative learning activities: Suggest [number] collaborative activities for a [level] [topic] class. For each, include the objective, group structure, roles, individual accountability, instructions, assessment, accessibility, and debrief.
16. Classroom management plan: Create a classroom-management plan for a [level] setting. Include proactive routines, relationship building, explicit expectations, reinforcement, responses to disruption, de-escalation, documentation, and safety escalation. Align recommendations with school policies and supplied individual support plans. Context: [insert details].
17. Formative assessment ideas: Suggest [number] brief formative assessments for a [level] [subject] lesson on [topic]. For each, explain what it reveals, how to run it, how to interpret responses, and how instruction should change based on the result.
18. Differentiated instruction plan: Design a differentiated [level] [subject] lesson on [topic]. Provide flexible options based on readiness, prior knowledge, language proficiency, accessibility, and learner strengths. Include supports and extensions, plus the supplied IEP accommodations without inventing new ones. Context: [Insert learner data and plans]

Speed up your workflow with ChatGPT prompts

ChatGPT prompts get treated as templates, but they’re really briefs. The prompts in this article give you the structure of a strong brief. The PROMPT framework helps you add the details only you can supply.

But a brief only earns its keep once you’ve tested and refined it. Add the relevant source material, run the prompt, and review the response.

Does it contain unsupported claims, miss important context, or focus on the wrong priorities? Refine the weakest part.

Once the prompt works, save it with the inputs it needs and the checks someone should complete before using the output. That turns a one-off ChatGPT conversation into a repeatable workflow your team can reuse and improve.

If that workflow lives inside your content operation, Semrush’s Content Toolkit runs it end to end: build a brief backed by Semrush data, generate or optimize the draft for Google and AI search, and publish through connected channels without leaving the workspace.

This post was updated in 2026. Excerpts from the original article by Christine Skopec may remain.