200 AI Prompts for Marketing: Ready-to-Use Templates for Every Channel

AI prompts for marketing are written instructions that tell a tool like ChatGPT, Claude or Gemini what marketing work to produce, such as ad copy, an email sequence or a campaign report. The best ones give the AI a role, a clear task, the context it needs about your audience, offer and proof, and the format you want back.

Below are 200 prompts for B2B and SaaS marketing, grouped into 12 jobs from positioning to reporting. Most say what to paste or attach, because the context you give is what separates usable output from generic text. Start with the worked example, then copy the prompts you need.

Key Takeaways

• 86.4% of marketing teams use AI in at least a few areas, according to HubSpot’s State of Marketing 2026 survey of over 1,500 marketers.
• Google’s prompt guide names four parts of a good prompt: persona, task, context and format. You don’t need all four every time.
• In the Content Marketing Institute’s survey of B2B marketers fielded in mid-2025, 58% of those using AI for content said quality improved, but only 39% said performance improved.
• Salesforce’s 10th State of Marketing report (4,450 marketers, late 2025) found 75% have adopted AI, yet 84% admit to running generic campaigns.
• Google’s Search Central guidance, updated October 2026, says to manually fact-check and review all AI-generated content before publishing.

How to Write an AI Prompt for Marketing

Google’s guide to writing effective prompts says “the four main areas to consider when writing an effective prompt are: Persona, Task, Context, Format”, and adds that you don’t need all four every time. Glean’s marketing prompt guide stretches the same idea to seven parts for marketing work, adding tone, constraints and a quality bar. In practice, a marketing prompt needs five things:

• A role. “You are a B2B SaaS copywriter” or “Act as our head of demand generation” sets the level and the vocabulary.
• One task. Ask for one piece of work at a time: a landing page hero, five subject lines, a content brief.
• Real context. Paste or attach the inputs a colleague would need: the audience and its pain, your offer, proof points you can back up, call notes or an analytics export. This is the part most prompts skip.
• Constraints. Channel limits (character counts, word counts), brand voice, words to avoid and claims the AI may not make.
• A format. Say what comes back: a table, three variants, a numbered outline, with the reasoning or without it.

Worked example: from one line to a usable prompt

Here is the same request written twice.

• One line: “Write a landing page for our product.” The AI has to guess the audience, the problem and the proof, so you get generic copy that could describe any company.
• Complete: “You are a conversion copywriter for B2B SaaS. Write the first screen of a landing page for [product], which helps [audience] [outcome]. Use the attached customer call notes for the pain in their words and only the proof points listed below. Give 3 versions, each with a headline under 10 words, a subheadline under 25 words and one call to action. Proof points: [list].”

The second prompt takes a minute longer to write and saves the rewrite. Once a prompt works, save it with its instructions and an example of good output, so you only add the new input next time. Founderpath’s CEO uses exactly that pattern for YouTube descriptions, with a saved project that holds the format, the labels and a good example:

This used to take me… three hours. I’d have to listen to the transcript, write it, bookmark it. Well, now I’ve just trained Claude. … Can you please use the transcript to create a YouTube description? Do it in this format. Do it with this labeling. Here’s a good example. And then I just rinse, wash, repeat over and over.

Nathan Latka, Founder and CEO, Founderpath. Watch at 23:48

Watch the full AI growth tactics webinar, with transcript.

What AI Does Well in Marketing, and Where It Needs You

Most marketing teams now use AI. HubSpot’s State of Marketing 2026 found 86.4% of marketing teams use it in at least a few areas, and 42.5% of marketers use it extensively for content creation. About one-third say it saves their team 10 to 14 hours a week and another third say over 15 hours, all self-reported.

Speed is not the same as results. In the Content Marketing Institute and MarketingProfs B2B survey, fielded from June to August 2025, 95% of B2B marketers said their organizations use AI-powered applications, and almost nine in 10 of those use AI for written content. Among marketers using AI for content, 87% said productivity improved and 58% said quality improved, but only 39% said content performance improved and 12% said quality got worse. Salesforce’s 10th State of Marketing report, from 4,450 marketers surveyed in late 2025, found 75% have adopted AI while 84% admit to running generic campaigns.

The pattern is consistent: AI is good at first drafts, variations, summaries and reformatting. It is weak at three things you have to supply:

• Facts. Google’s Search Central guidance explains that generative models “predict a likely sequence of words” rather than retrieve facts, so outputs can contain inaccuracies. Every number, customer name and product claim needs checking.
• Your voice and point of view. Without examples of your writing and your actual opinions, the output sounds like everyone else’s.
• Proof. AI can phrase a claim, but it can’t know whether you can back it up. Give it the approved proof points and tell it not to add others.

Jacob Bank, who runs marketing at Relay.app with AI agents, described the control he uses before anything goes live:

We have a human in the loop approval. I make sure to approve every single piece of content that my AI agents create before they get posted, just to make sure they’re both factually accurate and in my style, and then it gets posted.

Jacob Bank, founder of Relay.app, on Founderpath’s AI growth webinar. Watch at 1:02:43

The 10 Marketing Prompts to Start With

If you only try a few, start with these. Each covers a different part of the marketing job.

1. Positioning statement: “Draft three positioning statements for [product] aimed at [persona] at [industry] companies, each naming the target buyer, the problem, our category and the main alternative they would otherwise use. Add one line on which you would test first and why.”
2. Ideal customer profile: “Using the attached CSV of our best [number] customers by retention and expansion, build an ideal customer profile. Return a table with firmographics, trigger events, the pain that led to purchase, the buying process and signals that a lead is a poor fit.”
3. Content brief from search results: “Write a content brief for the keyword [keyword] using the pasted text of the top 5 ranking pages. Include the search intent, the one-sentence answer, required sections, questions to cover, gaps in current results and sources we must cite.”
4. Trial onboarding sequence: “Plan a 6-email sequence for new trial users of [product] over [14] days, built around the activation step [milestone]. For each email give the send day, the goal, the subject line and the main message, then say what triggers an early exit.”
5. Post idea bank: “Using the attached list of questions customers asked in the last quarter, propose 12 LinkedIn post ideas for [audience]. For each, give the angle, the hook line, the format (text, carousel, poll, image) and the real example from our work that it can use.”
6. Landing page first draft: “Draft a landing page for [product] targeted at [audience] searching for [need]. Provide the headline, subhead, a three-benefit section, a proof section that uses only the attached customer evidence, an FAQ and a primary call to action.”
7. Search ad copy: “Write responsive search ad assets for the keyword group ‘[keyword group]’: 15 headlines up to 30 characters and 4 descriptions up to 90 characters. Mix feature, benefit and brand lines, and keep every claim true to the attached landing page.”
8. Launch plan: “Build a launch plan for [feature or product] going live on [date] for [audience]. Return a table of workstreams (messaging, content, email, sales enablement, support, in-app), owner role, deadline relative to launch and the check that proves it is done.”
9. Monthly marketing report: “Using the attached exports for [month] from our ad platforms, email tool and analytics, write a one-page marketing report. Cover traffic, leads, cost per lead and conversion by channel, then give the three biggest changes versus last month and the actions to take.”
10. Quarterly marketing plan: “Build a one-quarter marketing plan for [company] with a goal of [goal], based on the attached last-quarter results and ICP. Return the priority channels, 5 key initiatives, owners, budget split, and the metrics that tell us it is working.”

200 AI Prompts for Marketing, by Job

Copy a prompt, replace the words in [square brackets] and attach the material it names. Each section is a different part of the marketing job. For finance, sales, product and support prompts, see our 400 AI prompts for business.

AI Prompts for Positioning and Messaging

Covers how you describe the product, who it is for and why a buyer should pick it. (18 prompts)

• Positioning statement: “Draft three positioning statements for [product] aimed at [persona] at [industry] companies, each naming the target buyer, the problem, our category and the main alternative they would otherwise use. Add one line on which you would test first and why.”
• Value proposition options: “Write 5 distinct value propositions for [product], each under 20 words and each leading with a different angle: time saved, risk reduced, revenue gained, cost avoided, effort removed. Use only claims listed in the attached proof points.”
• Homepage hero options: “Write 6 homepage hero options for [product] aimed at [audience], each with a headline under 12 words and a one-sentence subhead. Vary the style across plain statement, outcome, question and category claim, then recommend one.”
• Feature to benefit translation: “Below is a list of technical features for [product]. For each, give the plain-English benefit for [non-technical buyer role], the pain it removes, and a 10-word version for a web page. Return a three-column table.”
• Pain point hooks: “Write 8 opening lines that name the problem [pain point] in the words [audience] actually use. Base the wording on the attached customer call notes, and give each hook a different tone: blunt, empathetic, curious and data-led.”
• Problem-agitate-solve headlines: “Using the problem-agitate-solve structure, write 5 headline and opening-line pairs for [product] aimed at [audience] who struggle with [pain point]. Keep the agitation honest and specific, with no invented consequences or statistics.”
• Messaging framework: “Build a messaging framework for [product] with one core message, three supporting pillars, a proof point for each pillar and the audience it matters most to. Draw proof only from the attached customer evidence and flag any pillar that has none.”
• Elevator pitch ladder: “Write elevator pitches for [product] in three lengths: 10 seconds, 30 seconds and 2 minutes. Aim them at a [buyer role] who has never heard of us, and mark where each version asks a question so the listener can respond.”
• Competitive positioning map: “From the attached notes on [competitor set], propose where [product] can credibly stand apart. Return a table of the buying criteria that matter to [persona], how we compare on each, and an honest verdict. Flag any claim about a competitor that needs a public source.”
• Brand voice guide: “Create a one-page brand voice guide for [company] from the attached samples of our best copy. Include 4 voice traits with do and don’t examples, words we use and avoid, and how tone shifts between a product page, a support email and a social post.”
• Product and feature names: “Suggest 15 names for [new product or feature], which helps [audience] to [job to be done]. Mix descriptive, abstract and compound names, note any that might clash with well-known brands, and give a short reason for your top 3.”
• Benefits in ten words: “Explain the main benefit of [product] to [audience] in under 10 words, then give 10 variants that each emphasize a different outcome. Avoid jargon and superlatives, and mark the three that a skeptical buyer would find most believable.”
• Result-led headlines: “Write 6 headlines that state a concrete result and timeframe for [product], using only the figures in the attached verified customer results. If the data supports no figure, write a qualitative headline instead and tell me what evidence is missing.”
• Objection response bank: “List the 10 most common objections [persona] raises before buying [product], based on the attached call notes and lost-deal reasons. For each, write a two-sentence honest response for web copy and say which proof point backs it.”
• Persona messaging matrix: “Build a matrix of how our message for [product] changes across [3 personas], showing each persona’s top concern, the lead benefit, the proof they trust and the words to avoid. Present it as a table I can paste into a doc.”
• Messaging audit: “Review the pasted homepage, pricing page and sales deck copy for [product]. List where the message is inconsistent, vague or unsupported, quote the exact lines, and propose a cleaner rewrite for each. Rank issues by how likely a buyer is to notice.”
• Tagline shortlist: “Write 12 taglines for [brand] that fit our voice guide and the audience [audience]. Group them by style (literal, benefit-led, playful, bold), note any that read like a competitor’s line, and shortlist 3 with a reason each.”
• Message testing survey: “Design a short survey to test 4 candidate messages for [product] with [audience]. Include the questions, the answer scale, how to randomize order, how many responses we need to read a clear preference, and how to avoid leading wording.”

AI Prompts for Customer Research and Your ICP

Covers how to learn who your best customers are, what they say and why they buy or leave. (16 prompts)

• Ideal customer profile: “Using the attached CSV of our best [number] customers by retention and expansion, build an ideal customer profile. Return a table with firmographics, trigger events, the pain that led to purchase, the buying process and signals that a lead is a poor fit.”
• Personas from use cases: “Read the attached customer use cases and group them into 3 personas. For each, give a role, goals, frustrations, the job they hire [product] for, where they look for answers and one quote copied word for word from the notes.”
• Customer interview guide: “Write a 30-minute interview guide for talking with [customer type] about why they chose [product]. Include opening questions, a timeline walk-through from first problem to purchase, probing follow-ups and questions that avoid leading the answer.”
• Interview synthesis: “From the pasted transcripts of [number] customer interviews, extract recurring themes. Return a table of each theme, how many interviews raised it, two word-for-word supporting quotes and what it means for our messaging. Say where evidence is thin.”
• Review mining: “From the attached reviews of [product category] on review sites, list what buyers praise and complain about, the exact phrases they use and the feature gaps they mention. Group by theme and give counts, quoting reviews word for word.”
• Voice of customer phrasebank: “Pull a phrasebank from the attached support tickets, sales calls and survey answers: the words customers use to describe their problem, our product and the result. Keep phrases verbatim, tag each by source and group by topic.”
• Survey questionnaire: “Draft a customer research survey of at most 10 questions to learn how [segment] finds, evaluates and buys tools like [product]. Mix multiple choice and one open question, and explain what decision each question will inform.”
• Open-text survey coding: “Code the attached open-text survey answers into themes. Return a table with theme, definition, number of mentions, sentiment and one representative quote, then list answers that did not fit any theme so I can read them myself.”
• Jobs to be done map: “Using the attached interview notes, map the jobs [persona] hires [product] to do. For each job, describe the situation, the desired outcome, the current workaround and the obstacle that makes switching hard. Return as a table.”
• Buying committee map: “Map the typical buying committee for [product] at a [company size] company: roles, what each cares about, the content each needs to see and who tends to block. Base it on the attached closed-won deal notes and label anything you are assuming.”
• Customer journey map: “Create a journey map for [persona] from first noticing [problem] to renewal, using the attached customer notes. For each stage, show their question, the channel they use, the content that helps and where they drop off.”
• Win and loss analysis: “From the attached win and loss notes for the last [period], find the reasons we win and lose by segment. Return a ranked table of reasons, example quotes and three messaging or content changes the pattern suggests.”
• Segment prioritization: “Score the customer segments in the attached CSV on size, win rate, sales cycle, retention and expansion. Rank them as a table, explain the weighting you used, and recommend which one to focus marketing on for the next quarter.”
• Competitor customer sentiment: “From the attached public reviews of [competitor], summarize what their customers value and what frustrates them, with word-for-word quotes and source links. Do not state anything about the competitor that the reviews do not show.”
• Churn reason summary: “From the attached exit survey and cancellation notes, rank the reasons customers leave, split by plan and tenure. Include counts and quotes, and separate reasons marketing can influence, such as expectation setting, from product or price reasons.”
• Research data extraction: “I have attached a CSV export of customers with signup date, plan, source, industry and usage. Suggest 10 questions about our market that this data could answer, then answer the three most useful, and list the columns that look unreliable.”

AI Prompts for SEO and Blog Content

Covers keyword research, content planning, drafting and optimizing posts that earn organic traffic. (22 prompts)

One pattern worth borrowing comes from Shiyam Sunder, whose agency TripleDart works on SaaS SEO ($9.6M estimated revenue in September 2025, per GetLatka): ask the AI to expand one seed keyword separately for each audience you sell to, because a small business and an enterprise search for the same problem in different words.

We can ask ChatGPT to expand on the initial keywords by suggesting synonyms, related terms, and long-tail variations. We can specify different ICPs to get tailored keyword suggestions.

Shiyam Sunder, Co-founder and CEO, TripleDart, in his 2024 talk on AI and SEO. See slide 24

Google’s guidance on AI-generated content draws the line for SEO: using AI to “generate many pages without adding value for users may violate Google’s spam policy on scaled content abuse.” Use these prompts to plan and draft, then add what only you know.

• Keyword clusters: “Group the attached keyword export from [SEO tool] into topic clusters for [product category]. For each cluster, return the head term, search intent, a suggested page type, a priority score with your reasoning and any terms that belong to a different audience.”
• Blog topic ideas: “Suggest 20 blog topics for [audience] about [topic area], each with a working title, the search intent behind it and the funnel stage. Skip topics already covered in the attached list of our published posts.”
• Quarterly content calendar: “Build a 12-week content calendar for [blog] from the attached keyword priorities. Return a table with week, working title, primary keyword, content type, owner role and the product page it should link to, balanced across funnel stages.”
• Content brief from search results: “Write a content brief for the keyword [keyword] using the pasted text of the top 5 ranking pages. Include the search intent, the one-sentence answer, required sections, questions to cover, gaps in current results and sources we must cite.”
• Answer-first outline: “Outline a blog post for [keyword] that opens with a direct two-sentence answer, then key takeaways, then supporting sections. Mark where we can add our own data or customer examples, and list claims that will need a cited source.”
• Search intent check: “For each keyword in the attached list, classify the search intent (informational, comparison, transactional or navigational) from the pasted top results, say which page type should target it and flag keywords where our current page has the wrong format.”
• Competitor content gaps: “From the attached list of [competitor] blog URLs and traffic estimates from [SEO tool], find topics that draw them the most traffic that we do not cover. Return a table of topic, estimated traffic, our current coverage and a recommended angle.”
• Developer content strategy: “Create a content strategy for developers who search for [problem]. Cover the questions they ask, the formats they trust (docs, code samples, comparison posts), the channels where they look and how we avoid sounding like marketing.”
• Engineering story post: “Draft a technical blog post about how our team solved [engineering challenge], using the attached engineering notes. Structure it as context, constraints, options considered, what we chose and what we learned. Keep every number and detail exactly as in the notes.”
• Complex topic explainer: “Explain [technical concept] to [non-technical audience] in a 900-word article. Use one analogy, define each term once, and add a plain-language summary at the top. Flag any statement you are not fully sure about for a subject expert to check.”
• Title tag and meta description: “Write a title tag under 60 characters and 3 meta description options under 155 characters for the page whose text is pasted below. Include the primary keyword [keyword], promise only what the page delivers and avoid clickbait.”
• Landing page metadata: “For our [product] landing page aimed at [audience], write 5 title tag and meta description pairs that match the search intent behind [keyword] and differ in angle. Count characters for each and recommend the pair to test first.”
• Low click-through title tests: “The attached Search Console export lists pages with strong impressions and weak click-through. For the worst 10, propose a new title and description that fits the query, and note whether a ranking or a title problem is the more likely cause.”
• Internal linking plan: “From the attached sitemap and list of published posts, propose internal links for the new post on [topic]. Return a table with the source page, the anchor text, the target URL and why the link helps a reader, with at most 8 links.”
• Content refresh checklist: “Review the pasted blog post that has lost traffic. List outdated claims, missing sections compared with the pasted top results, weak headings and broken sources, then return a prioritized refresh plan with the edits worth making first.”
• Frequently asked questions: “Write 8 FAQs for a page about [topic], using the pasted People Also Ask questions and customer support questions. Answer each in two or three sentences, and flag any answer that needs a source or a legal check before publishing.”
• Original data post: “Plan a blog post built on the attached survey or product data about [topic]. Propose 5 findings worth publishing, the chart for each, how to describe the sample honestly, and the limits we must state. Do not infer beyond what the data shows.”
• Comparison page outline: “Outline an alternatives or comparison page for people searching [keyword]. Include the buyer criteria, a fair table of options, where we fit and where we do not, and a list of facts about other vendors that need two public sources before publishing.”
• Glossary entries: “Write glossary definitions for the terms in the attached list, each with a one-sentence definition, a two-sentence explanation, a worked example for a [industry] company and two related terms to link to. Keep a neutral, reference style.”
• Video description for search: “Write a video description for [topic of the video] with a first line that states the content in plain words, a chapter list from the pasted timestamps, 3 links to related pages and the keywords [keywords] used naturally.”
• Documentation structure: “Propose a documentation site structure for [product] aimed at [developer type]. Return the top-level sections, the first 15 pages to write, the quick-start path and which pages should also target search queries from the attached list.”
• Blog translation and localization: “Translate the pasted blog post into [language], keeping product names, code and technical terms in English. Adapt idioms and examples for readers in [country], and list sentences where a literal translation would read oddly so a native editor can review.”

AI Prompts for Email Marketing

Covers lifecycle, nurture and campaign emails, plus subject lines and segmentation. (22 prompts)

• Trial onboarding sequence: “Plan a 6-email sequence for new trial users of [product] over [14] days, built around the activation step [milestone]. For each email give the send day, the goal, the subject line and the main message, then say what triggers an early exit.”
• Freemium activation emails: “Write 4 emails to move new free users of [product] to their first successful outcome of [activation event]. Base each on a different obstacle from the attached drop-off notes, and include one plain-text version suited to a busy reader.”
• Welcome email: “Write a welcome email for people who just joined our [newsletter or product] and care about [topic]. Set expectations for frequency, give one useful link and ask a single question whose replies we can read and learn from. Keep it under 120 words.”
• Lead magnet nurture: “Write a 4-email nurture sequence for [job title] who downloaded [lead magnet]. Move from a useful recap to a related resource, a customer example from the attached case study and a soft invitation to [next step], each under 150 words.”
• Re-engagement email: “Draft a re-engagement email for subscribers who have not opened anything in [90 days], with a clear reason to stay, an easy way to change preferences and an honest sign-off if they leave. Add 5 subject lines under 45 characters.”
• Re-engagement subject lines: “Write 10 subject lines under 50 characters for an email to lapsed subscribers of [product]. Use a mix of direct, curious and personal styles, avoid false urgency and fake ‘Re:’ tricks, and flag any that might trigger spam filters.”
• Honest subject line options: “Give 12 subject lines and matching preview text for an email about [topic] to [audience]. Make each accurately reflect the email body, group them by approach, and recommend the two best to A/B test with a note on what each tests.”
• Case study announcement: “Write an email to prospects in [industry] sharing our case study with [customer], using only the results stated in the attached case study. Lead with the customer’s problem, quote them exactly as written, and end with a single link.”
• Blog teaser email: “Turn the pasted blog post into a short teaser email for [audience]: one sentence on the problem, three bullet takeaways taken from the post and one button label. Provide two subject lines and keep the body under 100 words.”
• Pricing change notice: “Write an email to existing customers about our pricing change taking effect on [date], using the attached plan details. Explain what changes, who is affected, what stays the same and how to reach us, in a calm and direct tone without spin.”
• Plan upgrade email: “Write an email to customers on [current plan] who are using [limit-related feature] heavily, suggesting [higher plan]. Reference the specific usage in the attached segment data, explain the real difference between plans and offer no pressure.”
• Time-limited offer email: “Write an email for our offer of [offer details] that really ends on [date and time zone]. State the deadline once, say who the offer suits and who it does not, and use one button. Do not add countdown pressure or invented scarcity.”
• Beta invitation email: “Write an email inviting selected customers to try [beta feature] early. Explain what it does, what we ask of them (time, feedback), what might be rough, and how to opt in. Give two subject lines and keep the tone collaborative.”
• Calculator promotion email: “Write an email to our opted-in list promoting our [ROI calculator]. Explain what inputs it needs, what the output means and its limits, with a note that results are estimates. Provide 3 subject lines and one button label.”
• Monthly product newsletter: “Turn the attached release notes into a monthly ‘what’s new’ newsletter for customers. Lead with the three updates that matter most to [persona], explain why each helps, link to docs, and keep the rest to a short list at the bottom.”
• Playbook download promotion: “Write the promotional email for our [guide or playbook] on [topic], aimed at [persona]. Describe who it helps, three things readers will be able to do after reading, and what we ask in return. Give 3 subject line options.”
• Community invitation email: “Write an email inviting customers to our [Slack or Discord] community. Say what members actually get, the rules of the space, who they will meet and how to join in two clicks. Add a short version for the in-app banner.”
• Stalled signup email: “Write an email for people who created an account for [product] but did not complete [setup step] within [2 days]. Name the likely obstacle from the attached drop-off notes, offer one help link and a way to reach a person.”
• Email segmentation plan: “Using the attached CRM fields, propose 8 email segments for [product] with the rule that defines each, the message each should get, how often to send and how to measure whether the segment is worth keeping. Return a table.”
• Spam and deliverability review: “Review the pasted email draft for deliverability and clarity. List words, formatting or link patterns that could trigger spam filters, check that the subject line matches the body, and return a cleaned version with a list of changes.”
• Warm intro email: “Write a short email to [prospect role] at [company] mentioning that [mutual connection] suggested we speak, where that person has agreed to be named. Offer one useful resource related to [problem] and one easy way to decline.”
• Follow-up after no reply: “Write a follow-up to my earlier email to [prospect role], sent 5 days ago and pasted below. Add one new useful piece of information instead of repeating the ask, keep it under 70 words and make it easy to say no.”

AI Prompts for Social Media and LinkedIn

Covers organic posts, founder-led content and social engagement for B2B audiences. (18 prompts)

• Post idea bank: “Using the attached list of questions customers asked in the last quarter, propose 12 LinkedIn post ideas for [audience]. For each, give the angle, the hook line, the format (text, carousel, poll, image) and the real example from our work that it can use.”
• Customer story carousel: “Turn the attached customer case study into an 8-slide LinkedIn carousel. For each slide give the heading, the on-slide text under 25 words and a visual suggestion. Use only the facts and numbers in the case study and credit the customer as agreed.”
• Growth milestone post: “Write a LinkedIn post in [founder name]’s voice about reaching [milestone]. Use only the facts in the pasted notes, tell the story of one decision and one mistake, avoid bragging, and end with a question for peers. Under 220 words.”
• Product-market fit reflection: “Write a reflective founder post on how we recognized product-market fit, built from the pasted notes and timeline. Make it specific about signals we saw and what we misread, keep the voice plain, and flag any claim the notes do not support.”
• Feature thread for X: “Write an X thread of 6 to 8 posts explaining [new feature] to [audience], starting with the problem, then how it works step by step, a result from a real customer if the notes include one and a link in the last post only.”
• Integration announcement post: “Write a LinkedIn post announcing our integration with [tool] for [shared audience]. Explain the workflow it enables, who benefits, how to turn it on, and tag the partner’s team as agreed. Keep it under 150 words with no hype words.”
• Industry poll: “Write a LinkedIn poll about [common challenge in industry] with a question under 140 characters, 4 balanced answer options and a follow-up comment that shares what we will do with the results. Add two ideas for follow-up posts.”
• Customer quote post: “Turn the attached customer quote into a LinkedIn post that gives the context behind it: who said it, what problem they had and what changed. Keep the quote word for word, get approval notes into a checklist and keep the post under 120 words.”
• Explain a hard concept: “Write 5 social posts that make [complex technical concept] clear to [audience]. Use a different device in each (analogy, example, myth versus fact, short checklist, diagram description) and avoid jargon unless defined in the same post.”
• Short video script: “Write a 30-second vertical video script for [platform] showing how [product] solves [one problem] for [audience]. Give the opening line, shot-by-shot visuals, on-screen text and spoken words in two columns, and a subtle call to action.”
• Usage chart post: “Draft a post for X about the trend in the attached usage data. Suggest the chart type and axis labels, write the text that explains what it shows honestly, mention the time period, and note any context that stops it from being misread.”
• Founder voice profile: “Analyze the attached 10 posts and emails written by [founder name] and describe their voice: sentence length, vocabulary, humor, structure and topics. Then write a style guide I can paste into future prompts so drafts sound like them.”
• Weekly social calendar: “Plan a four-week LinkedIn schedule for [company] with 3 posts a week, mixing customer stories, product education, team and opinion posts. Return a table with date, theme, format, hook and the asset we need to prepare in advance.”
• Thoughtful comment drafts: “I will paste posts from people in [ICP]. For each, draft two comments that add a useful point, a question or a relevant experience, without pitching. Keep each under 40 words and tell me if a post is not worth commenting on.”
• Employee advocacy kit: “Create a kit to help our team share [campaign or launch] on LinkedIn. Include three ready-to-edit post drafts in different voices, a short guide on personalizing them, what not to say, and a note that sharing is optional.”
• LinkedIn page refresh: “Review the pasted LinkedIn company page text and a founder’s profile. Suggest edits so they state who we help, what we do and the proof, in plain words. Return the rewritten headline, about section and featured links.”
• Post-engagement message: “Write a short LinkedIn message to someone in [ICP] who commented on our post about [topic]. Thank them for the comment, add one extra useful idea, and invite a reply with no meeting request. Keep it under 60 words.”
• Webinar thank-you message: “Write a LinkedIn message thanking a webinar attendee from [company type], referencing the question they asked: [question]. Offer the slide deck and one related resource, and keep it under 70 words and free of any sales ask.”

AI Prompts for Landing Pages and Website Copy

Covers headlines, page structure, proof, forms and calls to action across the website. (18 prompts)

The FTC’s rule on consumer reviews and testimonials, in force since October 21, 2024, bans writing or buying fake reviews and testimonials, and the FTC’s announcement names AI-generated fake reviews as a target. The testimonial prompts below only sort and format real reviews, word for word.

• Landing page first draft: “Draft a landing page for [product] targeted at [audience] searching for [need]. Provide the headline, subhead, a three-benefit section, a proof section that uses only the attached customer evidence, an FAQ and a primary call to action.”
• Feature headline options: “Write 12 headline options for the [feature] section on our landing page, mixing outcome, mechanism and question styles. Keep each under 10 words, avoid unproven superlatives, and mark the three that best match this audience’s pain: [pain point].”
• Enterprise buyer page: “Write landing page copy for [product] aimed at enterprise buyers in [industry]. Address security review, rollout effort and support, give a section for each of the three buying roles, and list the documents we can share on request.”
• Free trial page: “Write a landing page for our [14-day] free trial. State what is included, whether a card is needed, what happens at the end of the trial, three first-week milestones and a short FAQ. Use plain, honest terms only.”
• Benefit bullet points: “Write 6 benefit bullets of under 15 words each explaining how [product] helps [audience] with [problem]. Start each with a verb, match each to a feature in the attached list, and avoid claiming results we have not verified.”
• Fair comparison section: “Write a section comparing [product] with the approach of [alternative category or named vendor], using the attached feature table. State where we are stronger, equal or weaker, mark each claim with its source, and avoid criticizing the vendor.”
• Proof-led feature copy: “Draft page sections for each item in the attached feature list, opening every section with the customer evidence that supports it. Draw only on the supplied testimonials, metrics and approved logos, and write TODO wherever proof is missing instead of inventing it.”
• Testimonial block: “Format the attached customer quote as a landing page testimonial block with the quote verbatim, the speaker’s name, role and company, and a suggested one-line lead-in. Give 2 layout options and do not edit the wording of the quote.”
• Testimonial bank from reviews: “Sort the attached public reviews of [product] into a testimonial bank by theme. Copy each quote exactly, add the reviewer’s name, role and link to the source, and mark which ones we should ask permission for before reusing them on our site.”
• Comparison page FAQ: “Write an FAQ section of 6 questions for a page that compares [product] with [alternative]. Answer each directly, include one honest ‘when we are not the right fit’ answer and list which claims need a source before going live.”
• Honest CTA copy: “Write 12 button labels and one supporting line each for the signup form on [page]. Cover low-commitment options and clear-benefit options, say what happens after the click, and avoid false urgency or misleading labels.”
• Pricing page subheadlines: “Using the attached plan details, write a subheadline of under 14 words for each plan on our pricing page, describing who it suits and the main outcome. Add a line under the table for choosing between plans.”
• Feature and benefit blocks: “Turn the attached feature list into website blocks that pair each feature with the benefit to [persona]. Return a table with feature, benefit, a proof point from the notes and the page where the block should sit.”
• Downloadable toolkit page: “Write a landing page for our downloadable [toolkit name] aimed at [persona]. Describe what is inside, who it helps, a preview of two items, the form fields we need and what the reader will get by email afterward.”
• Developer docs home page: “Write the opening copy of the API documentation home page for [product]. Include a one-line description, a quick-start path of 3 steps, links to the main guides and a short list of what developers can build, all in plain language.”
• Homepage conversion audit: “Review the pasted homepage text from the viewpoint of [buyer role] who knows nothing about us. Say what is unclear within five seconds, which claims lack proof, where the call to action is weak and propose a rewritten first screen.”
• Lead form copy: “Review the pasted lead form and write new copy for it: heading, field labels, helper text, button and confirmation message. Suggest which fields to remove and explain what we need each remaining field for, in plain language.”
• About page: “Draft an About page for [company] using the pasted founding story, team facts and mission. Explain who we serve and why we exist in plain words, introduce the team accurately and avoid any claim we cannot back up.”

AI Prompts for Ad Copy and Paid Ads

Covers ad copy, targeting structure, creative testing and budget decisions on search and social platforms. (16 prompts)

Audiences notice. In a 2026 Harris Poll for the 4As and Infillion, an average of 73% of consumers across the countries surveyed said they were less likely to trust an ad they suspected was made by AI (Harris Poll deck). Write the brief yourself and use AI for variants and testing.

• Pain point ad variants: “Write 6 Meta ad variations for [product] aimed at [audience], each centered on one pain from this list: [pain points]. For each, give the primary text under 125 characters, headline under 40 and a suggested image idea.”
• Search ad copy: “Write responsive search ad assets for the keyword group ‘[keyword group]’: 15 headlines up to 30 characters and 4 descriptions up to 90 characters. Mix feature, benefit and brand lines, and keep every claim true to the attached landing page.”
• LinkedIn ad CTA test: “Write 3 LinkedIn sponsored post versions for [offer] aimed at [job titles]. Keep the copy the same and change only the call to action, and describe how to set up the test so the result is clear.”
• Retargeting ads by behavior: “Write retargeting ad copy for three visitor groups: viewed pricing, read a blog post and started but did not finish signup. Give each a headline and primary text that fits what they did, and avoid making them feel watched.”
• Technical audience ad: “Write Meta and LinkedIn ad copy for [product] aimed at startup CTOs and engineering leads. Keep it factual and low on hype, lead with the technical problem, mention only capabilities that exist today, and give 3 variants per platform.”
• Free trial social ad: “Write 4 Instagram or Meta ad concepts for [product]’s free trial. For each, give the visual idea, the on-image text under 8 words, the primary text and the exact trial terms, including whether a card is required.”
• Integration launch ad: “Write a 4-card carousel ad announcing our integration with [tool]. Give each card a headline and short line, show the before and after workflow in the order cards appear, and finish with a card for setup and the link.”
• Display ad for a feature: “Write 5 headline and subheadline pairs for display ads promoting [feature] to [audience]. Keep headlines under 6 words, subheads under 12, and describe the one visual each should use. Make sure every pair fits the banner sizes: [sizes].”
• Annual plan promotion: “Write ad and landing page copy for our annual plan discount valid until [real end date]. State the exact saving using the plan prices in the attached table, who it suits, how refunds work, and nothing that implies scarcity beyond the deadline.”
• Comparison guide ad: “Write 4 short ads promoting our buyer’s guide on choosing [product category] tools. Focus on the decision the guide helps with, what it covers and who wrote it, and give a headline and description for each.”
• Webinar ad set: “Write a LinkedIn ad set promoting our webinar ‘[title]’ to [job titles] at [company size] companies. Provide 3 intros, 3 headlines and the form pre-fill suggestions, and highlight the speaker, the date and one concrete thing attendees will learn.”
• Negative keywords: “Design the keyword structure for a new search campaign for [product]. Group the attached keyword list into tightly themed ad groups by intent, assign match types, propose a starting negative keyword list for job seekers, free tools and unrelated searches, and flag ambiguous terms.”
• Ad creative test plan: “Design a 4-week creative testing plan for [channel] with [monthly budget]. Define the variables to test one at a time, the success metric, the minimum spend per variant and when to stop or scale. Return a week-by-week table.”
• Message match review: “Compare the pasted ad copy with the landing page text it points to. List mismatches in promise, tone, offer and call to action, and rewrite either side so a visitor sees the same message from click to page.”
• Paid budget split: “Using the attached 6-month spend and pipeline data by channel, propose how to split next quarter’s [budget] across channels. Show your assumptions, the risk of each choice and the metric we should watch after 30 days to correct course.”
• Search term review: “Go through the attached search term report for [campaign]. Pick the 10 queries that bring qualified clicks and the 10 that waste spend, suggest which to add as exact match or as negatives, and say which new landing pages the good queries justify.”

AI Prompts for Product Marketing and Launches

Covers launch planning, announcements, enablement and product-led communication. (16 prompts)

• Launch plan: “Build a launch plan for [feature or product] going live on [date] for [audience]. Return a table of workstreams (messaging, content, email, sales enablement, support, in-app), owner role, deadline relative to launch and the check that proves it is done.”
• Launch press release: “Write a press release announcing [product or feature], using only the facts in the attached launch brief. Include a headline, a first paragraph with who, what, when and why, two quotes written for approval by named executives and a boilerplate.”
• Launch one-pager: “Create a one-page overview of [new product] for prospects and sales: the problem, what it does, who it is for, how it works in three steps, proof points from the attached notes and a call to action. Keep it under 250 words.”
• Launch deck outline: “Outline a 10-slide internal launch deck for [feature]: audience, positioning, key messages, channels, assets, timeline, risks and success metrics. For each slide, give the title and the points to cover based on the attached launch brief.”
• Release notes to announcement: “Turn the attached technical release notes for [feature] into a customer-facing announcement. Explain what is new, who it helps, how to try it and what to expect, in plain language. Add a version for the in-app banner under 30 words.”
• Beta program plan: “Plan a beta program for [feature]. Cover who to invite, how many, what we ask of them, how feedback is collected, the criteria for leaving beta and the testimonial or case study permission process, as a timeline with owners.”
• Launch teaser copy: “Write teaser copy for the upcoming launch of [feature], to run before release date [date] on our blog banner, email footer and social. State only what we can promise now, and give three versions of different lengths.”
• Product Hunt launch page: “Write a Product Hunt tagline under 60 characters, a description and a maker’s first comment for [product]. Tell the real story of why we built it, ask for honest feedback rather than votes and list questions we can answer in the thread.”
• Funding announcement: “Write a press release and a LinkedIn post announcing our round of [amount] led by [investor], using only the pasted facts and approved quotes. Explain what the funding is for in terms customers care about, with no growth claims beyond the notes.”
• Founder story pitch: “Write a pitch email to a journalist at [publication] about [founder name]’s story and what it says about [industry trend]. Include a clear angle, why it matters now, three facts they can check and what interview access we can offer.”
• In-app guidance copy: “Write tooltip and empty-state text for the first-time user flow of [product], using the attached screen list. For each step, give a title under 5 words, a message under 20 words and a clear action label. Keep a helpful, calm tone.”
• Pricing research plan: “Outline a pricing research plan for [product]: what we want to learn, three methods (such as customer interviews and a willingness-to-pay survey), the questions to ask and how to analyze the answers. Use the attached current plan data as the starting point.”
• Battlecard from public sources: “Build a battlecard on [competitor] from the attached public pages, reviews and press. Include their positioning, who they serve, strengths, limits, questions to ask prospects and our honest differences. Cite the source for every claim and flag any that rely on one source.”
• Sales enablement kit: “Create a sales enablement outline for the launch of [feature]: a one-paragraph pitch, three discovery questions, objection responses, a short demo flow and a list of assets sales can send. Base it on the attached messaging doc.”
• Co-marketing proposal: “Draft a co-marketing proposal for [partner company] that sells to [shared ICP]. Include the shared customer problem, a joint webinar and content plan, what each side provides, how leads are shared and how we measure success.”
• Launch retrospective: “Prepare a launch retrospective template and fill it with the attached results for [launch]: goals, what ran, what worked, what did not, lessons and follow-ups with owners. Separate facts from opinions and note where data is missing.”

AI Prompts for Webinars and Events

Covers planning, promoting and following up on webinars, roundtables, conferences and your own events. (12 prompts)

• Webinar topics and outline: “Suggest 5 webinar topics for [ICP] that match the questions in the attached sales and support notes. For the strongest, give a title, 3 learning outcomes, a 45-minute agenda with timings and the audience question we should ask at registration.”
• Webinar registration page: “Write registration page copy for our webinar on [topic] on [date]: headline, subhead, 5 bullets of what attendees will learn, speaker bios from the pasted details and a short FAQ covering recording access and time zones.”
• Webinar promotion emails: “Write a 4-email sequence promoting the webinar on [topic] to [persona]: announcement, reminder one week out, last-day reminder and day-of email. Give each a subject line and a clear reason to attend, with the real date and time in each.”
• Webinar social posts: “Write 5 LinkedIn posts to promote our webinar on [topic], each from a different angle: a question the speaker will answer, a speaker intro, an attendee takeaway, a myth to bust and a final reminder. Keep each under 100 words.”
• Webinar run of show: “Write a speaker script and run of show for a 40-minute webinar teaching [audience] how to [skill] with [product]. Include timed segments, a live demo plan, two audience interaction points and the questions to prepare for Q&A.”
• Webinar opening: “Write a 60-second opening for our webinar on [topic]. Welcome attendees, state the problem, explain what they will leave with and how to ask questions, and avoid any sales pitch. Give a version for the host and a version for the speaker.”
• Webinar follow-up email: “Write two follow-up emails for the webinar on [topic]: one for people who attended and one for registrants who did not. Include the replay link, three takeaways from the pasted transcript and a single next step suited to each group.”
• Customer roundtable invitation: “Write an invitation to our customer roundtable on [topic] in [city or online] on [date]. Explain the format, who will be there, what guests will gain and what we ask of them. Provide a LinkedIn post and a short email version.”
• Founder fireside promotion: “Write promotional copy for a fireside chat between [founder] and [guest] on [topic]. Provide 5 bullets about what the audience will hear, a speaker line for each person from the pasted bios and one short social post.”
• Conference booth pitch: “Prepare booth materials for [conference]: a 15-second spoken pitch, three qualifying questions for [ICP] visitors, a one-line sign for the booth and a follow-up email for badge scans. Base them on the attached messaging doc.”
• Event format ideas: “Suggest 5 event formats we could run for [ICP] in [location or online] with a budget up to [amount]. For each, give the format, the content, how many attendees we need to make it worthwhile and the main risk, as a table.”
• Event results review: “Review the attached data from [event]: registrations, attendance, engagement, leads and pipeline created. Return a summary of what worked, what did not, the cost per qualified lead using the supplied spend and a recommendation to repeat, change or stop.”

AI Prompts for Repurposing Content

Covers turning existing recordings, posts and customer material into new, accurate content for other channels. (14 prompts)

• Transcript takeaways: “From the pasted transcript of [recording], list the 7 most useful takeaways for [audience]. Give each a one-sentence summary and a word-for-word supporting quote with a timestamp, and flag passages that are unclear or might be misattributed.”
• Blog to email and post: “Convert the pasted blog post into a teaser email and a LinkedIn post. Keep the main insight and one data point exactly as written in the post, make each channel feel native, and give two hook options for the social post.”
• Demo to carousel: “Turn the attached demo walkthrough transcript into a 7-slide LinkedIn carousel that teaches one workflow. For each slide give a heading, the on-slide text and which screenshot to use, ending on a slide that says where to learn more.”
• Sales call to article: “Turn the pasted sales call transcript into an anonymized article about the problem the prospect described. Remove names and identifying details, keep the quotes only if the speaker has agreed, and end with a helpful next step instead of a pitch.”
• Case study roundup newsletter: “Summarize the attached 5 customer case studies into one newsletter issue on lessons for [audience]. Give a short takeaway for each, link to the full story, and use only results the case studies state, with the customer’s name as published.”
• Podcast to article: “Turn the pasted podcast transcript into a 1,000-word article with a clear headline and subheads. Pull 4 quotes word for word with speaker names, summarize the rest, and add a list of links and resources mentioned in the episode.”
• Quote graphics: “Choose 3 quotes from the pasted podcast transcript that stand on their own, keeping the wording exact. For each, suggest the graphic layout, the post text under 50 words and the speaker credit, and confirm none changes meaning when cut.”
• Product update thread: “Turn the attached product update into a thread of 5 posts for X. Each post covers one change and why it matters, in plain words, and the last post links to the full notes. Avoid hype and unannounced features.”
• Webinar replay nurture: “Use the pasted transcript of our past webinar to write a 3-email nurture sequence for registrants who did not attend. Each email teaches one idea from the session, includes a timestamp link and ends with a related resource.”
• Webinar recap newsletter blurb: “Write a ‘what you missed’ newsletter blurb of 90 words from the attached webinar summary, with the 3 main ideas, the speaker names and the replay link. Provide a shorter 40-word version for social.”
• Founder AMA to content: “Convert the pasted founder AMA into a blog post that groups questions by theme, plus 3 social posts. Keep the answers in the founder’s own words, trim filler only, and mark any statement that may be outdated.”
• Pillar content plan: “Take the attached long-form guide on [topic] and plan how to turn it into at least 10 smaller pieces across blog, email, social, video and sales use. Return a table with piece, channel, key point taken and the effort to produce.”
• Blog to short video script: “Convert the pasted blog post into a 60-second script for a short video. Open with the single most useful point, use plain words, indicate on-screen text and visuals, and keep every fact exactly as in the post.”
• Report to social snippets: “From the attached research report, draft 8 social snippets that each present one finding with its source, sample size and date. Do not round numbers beyond what the report does, and note findings that need context to avoid misleading readers.”

AI Prompts for Marketing Analytics and Reporting

Covers turning marketing data into clear analysis, charts and decisions. Attach the real export each time. (18 prompts)

• Monthly marketing report: “Using the attached exports for [month] from our ad platforms, email tool and analytics, write a one-page marketing report. Cover traffic, leads, cost per lead and conversion by channel, then give the three biggest changes versus last month and the actions to take.”
• Funnel drop-off analysis: “From the attached funnel data from visit to signup to paid, find the stage with the biggest drop and any segment where it is much worse. Return a funnel chart, a table of step conversion rates and three hypotheses to test.”
• Landing page comparison: “Rank every page in the attached analytics export by how well its visitors become signups, showing visits and signups beside each rate. Draw a bar chart, say which gaps are probably just noise given the volumes, and propose one test for each of the three weakest pages.”
• CAC by channel: “From the attached spend and new customer data by channel, calculate customer acquisition cost for each channel and month. Return a bar chart and a table, state how you handled missing or shared spend, and note which channels have too few customers to judge.”
• Trial-to-paid by channel: “Using the attached trial and conversion data, calculate trial-to-paid conversion by acquisition channel. Return a table with trials, paid accounts and rate, plus a chart, and warn where the cohort is too young to have fully converted.”
• Acquisition source mix: “From the attached monthly new-user data by source, chart the share of paid, organic, direct, referral and other over the past 12 months. Return a stacked area chart and a short note on shifts and what may explain them.”
• LTV by signup source: “Using the attached customer revenue and signup-source data, calculate lifetime value per source cohort. Return a bar chart and table, state the churn and margin assumptions, and flag sources with fewer than [30] customers.”
• CAC payback by cohort: “Using the attached cohort revenue and acquisition cost data, calculate the CAC payback period per monthly cohort. Return a line chart, say what gross margin you assumed and highlight cohorts that are improving or getting worse.”
• LTV to CAC trend: “Calculate the ratio of lifetime value to CAC by quarter from the attached data and plot it as a line chart. Explain the formula you used, the main driver of any change and which input is least reliable.”
• Email campaign comparison: “Compare the campaigns in the attached email export on open rate, click rate, unsubscribe rate and conversions. Return a table and chart, note that open rates may be inflated by privacy features, and describe what the top performers share.”
• Social performance by format: “From the attached social analytics export, compare engagement and click rate by post format and topic. Return a chart and a ranked table, normalize by impressions, and recommend what to post more and less of next month.”
• Newsletter growth analysis: “Chart newsletter subscriber growth from the attached export, split by source of signup, including unsubscribes. Return a line chart of net subscribers and a table of the best sources, and flag any spike that may be spam or a one-off event.”
• Retention by signup cohort: “Using the attached activity data, build a retention curve per monthly signup cohort. Return a line chart and table, say how you defined an active user and point out which cohorts changed after marketing or product changes.”
• Attribution model choice: “Using the attached touchpoint and conversion data for our [length] sales cycle, compare first-touch, last-touch and linear attribution by channel. Return a table of credit by channel, a chart and a recommendation with its limits.”
• A/B test readout: “Summarize the attached A/B test results into a one-page readout: hypothesis, variants, sample size, conversion by variant, statistical confidence, any segment effects and a decision. Say if the test ran too short to decide.”
• Search performance review: “From the attached Search Console export, find pages and queries that gained or lost the most clicks over the last 90 days. Return two tables, a trend chart and three actions, and note any change that may be seasonal.”
• Marketing dashboard spec: “Design a marketing dashboard for a [stage] SaaS team. List the 12 metrics to include, their exact definitions, the source of each, the chart type, the refresh rate and which ones are leading versus lagging indicators.”
• Review sentiment trend: “From the attached export of product reviews, classify each as positive, neutral or negative and tag the topic. Return a chart of sentiment by month and a table of top topics, with a few word-for-word quotes for each.”

AI Prompts for Marketing Planning and Strategy

Covers quarterly plans, goals, budgets and growth programs that guide the rest of the work. (10 prompts)

• Quarterly marketing plan: “Build a one-quarter marketing plan for [company] with a goal of [goal], based on the attached last-quarter results and ICP. Return the priority channels, 5 key initiatives, owners, budget split, and the metrics that tell us it is working.”
• Marketing OKRs: “Draft quarterly OKRs for the marketing team at [company], with 3 objectives and 3 key results each, linked to pipeline and revenue targets in the attached plan. Flag any key result that we cannot currently measure.”
• Budget allocation: “Propose how to allocate a [budget] marketing budget for [quarter] across content, paid, events, tools and people, based on the attached last-year spend and results. Show three scenarios (cautious, balanced, aggressive) and the assumptions of each.”
• Experiment backlog: “Build a growth experiment backlog from the attached funnel data and team ideas. Score each idea on impact, confidence and effort, return the top 10 as a table with hypothesis, metric and run time, and say which to run first.”
• Next 90 days levers: “Based on the attached funnel and channel data, identify the 5 most promising growth levers for the next 90 days. For each, explain the evidence, what we would do, the resources it needs and the risk, and rank them.”
• Referral program design: “Design a referral program for [product] using the attached customer data on who recommends us. Cover who to invite, the reward, the rules, how to track referrals, how to prevent abuse and what to measure before scaling.”
• Community plan: “Create a community plan for [product] users: purpose, platform, who we want in it, content and events, moderation rules, staffing and how we will measure value. Base it on the attached customer feedback and keep the first 90 days realistic.”
• Freemium conversion plan: “Using the attached usage data by plan, build a plan for moving free users to paid. Identify the behaviors that predict upgrades, the moments to message users, what to say and how to test it without hurting activation.”
• Agency creative brief: “Prepare a one-page brief to hand to [agency or freelancer] for the campaign [name]. Cover background, the single objective, the audience, one key message, mandatory elements, deliverables, budget range, timeline and the criteria we will use to judge the work.”
• Quarterly marketing review: “Prepare a quarterly review for the leadership team from the attached results: goals versus actuals, what worked, what did not, spend and return by channel, and decisions we need. Provide a slide-by-slide outline with the key message of each slide.”

How to Check AI Marketing Output Before You Publish

Run every draft through the same checks before it reaches a customer:

1. Facts and numbers. Check every statistic, price, date and customer name against its source. If you can’t find the source, delete the claim.
2. Quotes and reviews. Quotes stay word for word, with the speaker’s permission. Never let AI invent a testimonial.
3. Claims you can prove. “Fastest”, “best” and outcome percentages need evidence before they run in an ad or on a page.
4. Voice. Read it aloud. Cut the phrases nobody on your team would say.
5. Something only you could add. A customer story, your own data or a real opinion. This is what makes the page worth ranking and the email worth opening.

AI-assisted writing is now normal, so the edit is where you stand out. Ahrefs’ study of 900,000 new web pages from April 2025 classified 74.2% as containing AI-generated content, mostly mixed with human writing (71.7%), with 2.5% pure AI, using its own detector.

Turn Prompts Into a Marketing Workflow

Single prompts save minutes. Chained prompts save the week: the output of one becomes the input of the next. A typical content workflow runs research, brief, draft, fact-check, repurpose and report, with a person signing off before anything is published.

Keep your prompts where the team can find them. Ryan Staley, CEO of Whale Boss, told a 2024 Founderpath audience that most teams leave their best prompts buried in Slack, so a few individuals use them and about 90% of the team doesn’t; his fix is a centralized, shared prompt library (watch at 11:36). Save the prompts from this page that work for you, with an example of good output next to each.

Fund the Channels That Work

AI makes marketing cheaper to produce, but a channel that works still needs budget to scale: more ad spend, a content hire, an event. If your company has recurring revenue, you don’t have to sell equity to pay for it.

Founderpath provides non-dilutive capital for B2B SaaS companies with at least $10K MRR. There’s no equity, no warrants, no board seats and no personal guarantees. Connect your billing, banking and accounting data, and most founders see funds within 24-48 hours.

Check what you qualify for. It takes less than 5 minutes.

AI Prompts for Marketing FAQ

What are AI prompts for marketing?

AI prompts for marketing are written instructions that tell a tool like ChatGPT, Claude or Gemini what marketing work to produce, such as ad copy, an email sequence, a content brief or a campaign report. A good one names the role, the task, the context the AI needs (your audience, offer and proof) and the format you want back.

How do I write a good AI prompt for marketing?

Use Google’s four parts: a persona (who the AI should act as), the task, the context and the format. For marketing work the context is what matters most: paste or attach your customer notes, positioning, proof points and channel limits, then ask for several variants you can edit rather than one finished piece.

What are some effective AI prompts for product marketing?

Useful product marketing prompts turn release notes into a launch plan, write a positioning statement for one persona, draft a one-page sales sheet from approved proof points, and translate technical features into customer benefits. Give the AI the real release notes, customer quotes and competitor notes so it does not invent claims.

What are some AI prompts for advertising?

Ask for ad copy in the exact format of the platform: for example, search ad headlines under 30 characters built from your keyword list, LinkedIn ad variants for one role and pain point, or retargeting copy for visitors who viewed your pricing page. Tell the AI which claims it may use and ask it to flag anything it cannot support.

Is AI-generated marketing content bad for SEO?

Not by itself. Google’s guidance says generative AI can help create content, but warns that generating many pages without adding value may violate its scaled content abuse policy, and that you should manually fact-check and review AI-generated content before publishing.

Can I use AI to write customer reviews or testimonials?

No. The FTC rule on consumer reviews and testimonials, in force since October 21, 2024, bans writing or buying reviews and testimonials that misrepresent who the reviewer is or their experience, and the FTC says it covers AI-generated fake reviews. Use AI only to organize real reviews, word for word, with permission.

Which AI tool is best for marketing prompts?

The prompts in this guide work in ChatGPT, Claude and Gemini. The bigger difference is what the tool can read: choose one that can take your files or connect to the apps where your customer data, analytics and brand guidelines live, and save your best prompts in a shared library.

How much time does AI save marketing teams?

In HubSpot’s State of Marketing 2026, about one-third of marketers said AI saves their team 10 to 14 hours a week, another third said over 15 hours, and just under a third said one to nine hours. These are self-reported estimates from over 1,500 marketers.