Marketing is mostly writing, analysis, and coordination, and AI is good at first drafts of all three: twenty subject lines in the time it takes you to write one, a call transcript turned into positioning language, an explanation of why last month's paid social did not convert. It knows nothing about your customer, brand, or numbers until you hand them over.
The marketers getting real value treat AI as a junior teammate with a great vocabulary and no memory of the company. They feed it the brand guide, three winning emails, and the actual brief, then edit hard. The ones getting burned paste a one-line request, ship the output, and wonder why every email sounds like every other email in the inbox.
Quick wins this week
- Paste your brand voice guide and three top-performing emails into a chat assistant, then ask for ten subject-line variants for your next send. A/B test two.
- Upload last quarter's campaign export and ask which three campaigns over- or under-performed on cost per lead, and what they had in common.
- Paste twenty recent reviews or support tickets and ask for the exact phrases customers use to describe the problem you solve. Put those words in your next headline.
- Give the AI your product one-pager and ask for a landing page written for a skeptical buyer who was burned by a competitor. Keep the objections it surfaces.
What AI can do for marketers, task by task
Campaign copy and variants
Give the AI the brief, audience, offer, channel, and two examples of copy that performed. Ask for five variants with different angles (fear of missing out, social proof, plain utility) rather than five rewrites of one idea. Check every claim against what the product actually does and cut any statistic the AI invented; it will invent them.
Personas from real customer data
Paste interview notes, reviews, survey open-ends, or sales call summaries and ask the AI to cluster them into segments, name recurring pain points, and quote the exact language customers use. Treat the output as a summary of your data, not as market research. A persona built without your data is fiction with a name attached.
SEO briefs and content outlines
Ask a search-connected assistant for a brief on a target keyword: search intent, questions to answer, subheadings, internal links, and what the top-ranking pages miss. Then read the actual top results yourself; the whole brief hinges on intent, and the AI's guess is sometimes wrong.
Paid ad variants at scale
Generate headline and description sets for Google, Meta, and LinkedIn within each platform's character limits, tagged by angle, so you test hypotheses instead of random variations. Before uploading, check every line against platform ad policies and your approved claims; ads are where an unsupported 'fastest' or 'best' gets you in trouble.
Reporting and performance narratives
Export campaign data as a CSV, upload it, and ask for the three biggest month-over-month changes, likely causes, and the two questions a CMO would ask, then a five-bullet executive summary. Recompute any figure that goes into a deck; AI math errors are common and invisible in prose.
Email and lifecycle sequences
Describe the trigger, goal, audience stage, and number of touches, then ask for the full sequence with send timing and a one-line purpose per email, including your physical mailing address and an unsubscribe link in every footer. Check that each email honors your list's consent basis and that the AI has not invented a discount you do not offer.
Prompts for marketers
Replace the bracketed placeholders, paste into any chat assistant, and iterate on the result.
Subject lines that match your voice
You are a senior email marketer for [COMPANY], which sells [PRODUCT] to [AUDIENCE]. Our voice is [THREE ADJECTIVES]. Three subject lines that performed well for us: [PASTE THREE WINNING SUBJECT LINES] Write 10 subject lines for an email about [OFFER OR TOPIC]. Rules: under 45 characters, no exclamation points, no clickbait, no claims we cannot prove. Group them by angle (curiosity, benefit, social proof, urgency) and give each a preview-text line. If you need details about the offer, ask me before drafting.
Tip: Swap in your real winners every quarter; the model calibrates to whatever you show it.
Persona from raw customer language
Act as a market researcher. Below are [NUMBER] survey responses and support tickets from [COMPANY]'s customers. Cluster them into 3 to 5 segments by the job the customer is trying to get done. For each: a working name, the core problem in the customer's own words (quote directly), the trigger that made them look for a solution, what they tried before, and what would make them switch. Then list the five phrases that appear most often. Add nothing that is not supported by the text; if a segment is thin, say so. [PASTE CUSTOMER RESPONSES]
Tip: Paste raw text, not your summary of it, or you will get your own assumptions back.
Landing page from a skeptical buyer's view
You are a conversion copywriter. Write a landing page for [PRODUCT] aimed at [AUDIENCE]. First list the five objections a skeptical buyer who already tried [COMPETITOR OR CATEGORY] would have, then write the page so each section answers one. Structure: headline under 12 words, subhead, three benefit blocks with a concrete example each, a proof section with a placeholder for real testimonials (invent none), a five-question FAQ, and one call to action: [CTA]. Voice: [VOICE NOTES]. Use only these product facts: [PASTE FACTS].
Tip: The objections list is often the most useful part; hand it to sales.
Monthly performance narrative
You are a marketing analyst. Below is campaign performance data for [MONTH] and the prior month, with columns [LIST COLUMNS]. 1) Identify the three largest month-over-month changes and show the math. 2) Give the most likely cause of each, labeled as a hypothesis. 3) Write a five-bullet summary for a CMO in plain language. 4) List two questions you would need answered to be confident. Do not round until the final summary. [PASTE DATA]
Tip: Ask for the math so you can spot-check two numbers before anything goes in a deck.
Compliant nurture sequence
You are a lifecycle marketer who knows CAN-SPAM. Write a [NUMBER]-email sequence for [AUDIENCE] who [TRIGGER, E.G. DOWNLOADED OUR PRICING GUIDE]. Goal: [GOAL]. Constraints: each email under 150 words, one call to action, subject lines that honestly match the body, a placeholder for our physical mailing address and an unsubscribe link in every footer, and no offers beyond these: [APPROVED OFFERS]. Give send timing and a one-line purpose per email. Voice: [VOICE NOTES]. Ask clarifying questions first if anything is unclear.
Tip: Run the final sequence past whoever owns your email platform's compliance settings before scheduling.
Want a prompt for something else? Use the Prompt Builder or browse brainstorming and strategy prompts, career and job search prompts, data and spreadsheets prompts, marketing and content prompts, presentations and reports prompts, research and learning prompts.
Skills to build
Briefing AI like a creative director
Why: The copy you get tracks the brief you give. Vague briefs produce the generic copy everyone complains about.
How: Build a reusable brief template: audience, offer, channel, voice, must-include facts, banned claims, two examples. Save it as a Claude Project or custom GPT so every session starts loaded.
Grounding output in your own data
Why: Personas, messaging, and reports are only as good as the inputs; AI fills gaps with plausible fiction.
How: Keep a folder of clean source material: interview notes, reviews, win/loss summaries, performance exports. Upload it to NotebookLM or a Project and ask questions only it can answer.
Checking AI's math
Why: AI summarizes a campaign export in seconds and miscounts a column just as fast. You need enough numeracy to catch it.
How: For a month, recompute two figures from every AI-generated summary. Date filtering and averages of averages are the usual culprits.
Claims discipline
Why: Generated copy drifts toward superlatives and invented numbers, and the FTC expects advertising claims to be substantiated.
How: Keep a one-page approved-claims list with evidence for each. Paste it into every copy prompt and end each session with 'list every claim in this draft and its source'.
Lightweight automation
Why: Most marketing busywork is moving text between tools, and automation platforms now let you put an AI step in the middle.
How: Build one Zap or Make scenario: new form submission, AI lead summary, post to Slack. Expand once it runs cleanly for two weeks.
Tools worth knowing
ChatGPT
The general-purpose AI assistant most of your coworkers already use.
Claude
A careful writing and analysis assistant that shines on long documents.
Jasper
A marketing content platform built around brand voice, campaigns, and team workflows.
Perplexity
An answer engine that cites its sources, built for research rather than chat.
Canva
Design for non-designers, with Magic Studio AI for text, images, video, and resizing.
Julius AI
Chat with your spreadsheets and data files and get charts, stats, and answers back
Cautions for marketers
Commercial email needs truthful headers and subject lines, your physical postal address, and an opt-out you honor within 10 business days. Marketing texts and calls to mobile numbers generally require prior express written consent under the TCPA, and the FCC ruled in 2024 that AI-generated voices count as artificial voices under that law. AI makes generating a thousand messages easy; it does nothing to make sending them legal. Keep consent records and involve counsel before any automated calling or texting.
The FTC's rule on consumer reviews and testimonials, in effect since late 2024, bans fake reviews, including AI-generated ones, and testimonials from people who never used the product. Never ship 'sample testimonials' and never let placeholder quotes reach a live page. Real quotes, with permission, only.
Left alone, every assistant regresses to the same smooth, adjective-heavy register, and ten campaigns later your brand sounds like everyone's. Feed real examples every time, keep a list of words your brand never uses, and read every piece aloud before it ships.
Customer lists, emails, and behavioral data are personal information under state privacy laws such as the CCPA. Never paste confidential data into a consumer AI tool unless your organization has approved it: use a business plan with model training off, strip identifiers first, and follow your AI policy.
AI will produce a confident statistic, a made-up analyst quote, or a feature you do not have. Every number, name, and product claim in generated copy gets checked against a source before publication.
Your 30-day plan
- Week 1: Write your brand brief (voice, audience, approved claims, banned words, three sample pieces), save it as a Project or custom GPT, and use it on one recurring writing task every day. Track time saved and the edits you keep making.
- Week 2: Produce your first AI-assisted monthly report from last quarter's export. Recompute two numbers by hand.
- Week 2: Run 50 pieces of real customer language through the persona prompt and update the personas that were guesses.
- Week 3: Build one automation (form submission to AI lead summary to Slack) and audit your email and texting programs against CAN-SPAM and TCPA basics, then confirm with counsel.
- Week 4: Run a documented A/B test of AI-generated variants against your control. Share results and prompts with the team, including what you had to fix.
Frequently asked questions
Will AI replace marketers?
Does Google penalize AI-generated content?
Which AI tool is best for marketers?
Can I use AI to write testimonials or case studies?
Terms used on this page
Related roles
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- AI for Small Business OwnersAI answers the one-star review calmly, drafts the month of posts, turns your voice memo into an SOP, and preps the questions for your CPA. You still make the calls, sign the checks, and own what goes out under your name.