9 AI writing prompts for marketers who hate generic copy

Generic AI copy rarely starts with a terrible sentence.

It starts with a weak brief.

“Write a LinkedIn post about customer retention” gives an AI almost nothing to work with. So it reaches for the safest material available: broad advice, recycled phrases and neat little conclusions that could belong to any company in the category.

The answer is not banning AI from your workflow.

It is giving it better raw material and a more demanding job.

A useful prompt should make the model work with a point of view, a real customer problem, a source of evidence or a constraint that prevents it from producing another “five ways to improve your strategy” article.

Below are nine prompts for marketers who want AI to help them think, structure, edit and stress-test ideas without flattening every piece into generic content. They also support more effective content creation by helping teams develop original, well-organized ideas instead of relying on repetitive AI output.

TL;DR

• AI produces generic copy when the input is generic.
• Give it raw material, a clear audience and a specific editorial job.
• Ask for a point of view, not only an output format.
• Use AI to surface tension, gaps, objections and examples before asking it to draft.
• Make it show its assumptions and flag claims that need proof.
• Treat the first draft as material to shape, not something to paste into a CMS.

Before you use any prompt

The best input is not a topic.

It is a small pile of evidence.

That might include a customer quote, sales call notes, support tickets, a product demo transcript, competitor positioning, research findings or your own rough point of view.

For example, instead of saying:

Write an article about CRM migration.

Give the model:

We sell CRM software to small service businesses. On sales calls, prospects often say they are staying in spreadsheets because they fear losing customer history during migration. They do not care about “digital transformation.” They care about duplicate contacts, missing notes and spending a weekend fixing bad imports. We want a practical article that helps them plan a safer move.

That is already halfway to a useful article.

1. The “find the actual angle” prompt

Use this when you have a broad topic but no clear reason for your audience to care.

I need to create content about [TOPIC] for [AUDIENCE].

 

Here is the context I have:

[PASTE CUSTOMER QUOTES, NOTES, SALES QUESTIONS, PRODUCT CONTEXT OR ROUGH THOUGHTS]

 

Do not draft the article yet.

 

First, identify:

1. The most specific problem hidden in this material
2. The assumption the audience may be getting wrong
3. Three possible editorial angles that do not sound like generic “best practices”
4. Which angle has the strongest commercial and audience relevance
5. What evidence, examples or internal expertise the finished piece would need

 

Avoid vague angles such as “how to improve,” “the future of” or “everything you need to know.”

 

Why it works

This prompt stops AI from rushing into writing.

It makes the model look for tension first. That is often where the useful content angle lives.

For example, a generic topic such as “customer onboarding” may become:

Why onboarding emails fail when the product team has not defined the first useful action.

That is more specific than “How to improve customer onboarding.”

2. The “turn a sales objection into content” prompt

Sales objections are some of the best content inputs because they reveal what stops people from moving.

Turn the following sales objection into a useful content idea.

 

Objection:

“[PASTE THE EXACT WORDING]”

 

Product:

[WHAT YOU SELL]

 

Audience:

[WHO SAYS THIS]

 

I do not want a defensive product page or a direct rebuttal.

 

Create:

– The underlying concern behind the objection

– The questions the buyer is trying to answer

– A content angle that helps before it sells

– A possible article title

– A suggested structure

– Two places where our product can appear naturally, without hijacking the piece

– A section called “What we should not claim” to prevent overpromising

 

Example

Objection:

We already use spreadsheets. Moving everything sounds like more work than it is worth.

This could become:

CRM migration from spreadsheets: what to clean up before you import anything

That article helps the buyer think through the problem. It also creates a natural route towards the product.

3. The “make it sound like a person who has seen the problem” prompt

Use this when a draft is technically fine but sounds as though it was written from a distance.

Rewrite this draft so it sounds like it was written by someone who has repeatedly seen this problem in real teams.

 

Draft:

[PASTE DRAFT]

 

Audience:

[AUDIENCE]

 

Use these real details:

[PASTE CUSTOMER LANGUAGE, SPECIFIC MOMENTS, COMMON MISTAKES, INTERNAL INSIGHT]

 

Requirements:

– Replace vague claims with observable situations

– Use one or two realistic examples

– Keep the tone direct and useful, not dramatic

– Remove filler such as “in today’s fast-paced world,” “unlock,” “transform” and “seamless”

– Do not invent statistics, customer stories or results

– Flag any sentence that needs evidence instead of making it sound more confident

 

What changes

Generic:

Poor onboarding can negatively affect customer retention.

More grounded:

Onboarding often breaks before users reach the first useful action. They create an account, click around for ten minutes, then leave because nobody showed them what “good” looks like in the product.

The second sentence has a scene inside it. That is what makes it feel more credible.

4. The “write from the friction moment” prompt

This is useful for social posts, email intros, landing pages, websites, and article openings.

Write five opening paragraphs about [TOPIC].

 

Start each one from a specific friction moment, not a broad industry statement.

 

Audience:

[AUDIENCE]

 

Context:

[WHAT THEY ARE TRYING TO DO]

 

Common moment where things go wrong:

[DESCRIBE THE MOMENT]

 

Avoid:

– Question hooks

– Statistics unless supplied below

– Dramatic claims

– “Most companies”

– Generic introductions about the market changing

 

Each opening should make the reader recognise a situation from their own work within the first two sentences.

 

Example input

Topic: Lead scoring
Friction moment: A sales rep opens the CRM, sees a list of “hot” leads and spends the morning chasing people who downloaded three ebooks but have no active project.

One possible opening:

The lead looked perfect in the CRM. High score, several email opens, two content downloads.

Sales called three times before finding out they were researching for a university project.

That is stronger than starting with “Lead scoring is essential for modern revenue teams.”

5. The “find what this content is avoiding” prompt

Use this before publishing a draft that feels too safe.

Act as a sharp editor reviewing this draft.

 

Draft:

[PASTE DRAFT]

 

Audience:

[AUDIENCE]

 

Identify:

– The important question the article avoids answering

– Where it gives advice that is too broad to act on

– Claims that sound confident but lack proof

– Sections that repeat the same idea

– The trade-offs it should acknowledge

– One stronger point of view the piece could take

 

Do not rewrite the full article.

 

Return an editorial memo with specific examples from the draft and suggested changes.

 

Why it works

AI is often better as a critic than a first-draft machine.

This prompt can expose the places where a piece says “build trust,” “use data” or “improve the experience” without explaining what someone should actually do on Monday morning.

6. The “write the useful version, not the perfect version” prompt

This works for practical guides that risk becoming too broad.

Create a practical guide for [AUDIENCE] who need to [JOB TO BE DONE].

 

The guide should help someone make progress in one working session.

 

Context:

[PRODUCT, SERVICE OR TOPIC]

 

Constraints:

– Assume they have limited time and limited specialist knowledge

– Focus on the first sensible actions, not every possible best practice

– Include examples of what good and weak execution look like

– Include a checklist they can use immediately

– Explain what they should ignore for now

– Do not use generic advice such as “optimise,” “leverage” or “create a strong strategy” without showing the action

– Do not turn the guide into a list of 20 disconnected tips

 

Example use case

Create a practical guide for small ecommerce teams who need to improve product-page trust before a seasonal campaign.

That can produce a guide focused on product images, delivery information, returns and reviews instead of a bloated overview of all ecommerce conversion tactics.

The same prompt works well for referral marketing content. A practical guide for ecommerce teams setting up their first ReferralCandy campaign should focus on reward structure, timing the ask after purchase and writing the sharing prompt, not a comprehensive overview of every word-of-mouth tactic ever documented.

7. The “make the product mention earn its place” prompt

A common AI failure is forcing the product into every section.

This prompt helps you decide where the product genuinely belongs.

I am writing educational content about [TOPIC].

 

Our product:

[PRODUCT DESCRIPTION]

 

Audience:

[AUDIENCE]

 

Article angle:

[ANGLE]

 

Suggest three natural places where the product can appear.

 

For each suggestion, explain:

– What the reader is trying to solve at that point

– Why mentioning the product would help rather than interrupt

– The exact type of product reference to use: example, workflow, soft CTA, feature explanation or case study

– What wording would feel too promotional

 

Do not suggest a product mention unless it genuinely helps the reader complete the task.

 

Example

For an article about cleaning an old email list before a product launch, an email verification tool belongs in the section about validating older addresses.

It does not need to appear in the introduction, every checklist item and the conclusion.

That distinction makes the content more trustworthy.

8. The “turn one expert idea into several formats” prompt

Use this when you have good long-form content but do not want a month of copied social posts.

Use the source material below to create six distinct social content angles.

 

Source material:

[PASTE ARTICLE, NOTES OR TRANSCRIPT]

 

Audience:

[AUDIENCE]

 

Create:

1. One sharp opinion post
2. One mini-scenario
3. One practical checklist
4. One “common mistake” post
5. One question that could start a useful discussion
6. One direct promotion post for the original asset

 

Rules:

– Each post must reveal a different idea from the source

– Do not reuse the same hook, conclusion or example

– Most posts should work without a link

– Do not use “here are X tips” unless the format genuinely needs it

– Keep the language natural and avoid motivational filler

 

Why it works

It makes the model extract different kinds of value: tension, process, proof and conversation.

That is how one article becomes a content month without feeling like twelve versions of the same caption.

9. The “anti-generic final edit” prompt

Use this at the end.

Edit this piece for specificity, credibility and natural rhythm.

 

Draft:

[PASTE DRAFT]

 

Do the following:

– Cut generic opening lines and filler

– Replace abstract claims with practical detail where possible

– Vary sentence length without becoming choppy

– Remove repeated ideas

– Replace vague headings with descriptive ones

– Flag unsupported claims, invented examples or statistics

– Keep useful nuance instead of making every point sound absolute

– Remove phrases that sound generated, such as “in the ever-evolving landscape,” “it is not just,” “unlock,” “seamlessly,” “game-changer” and “revolutionise”

– Do not add new facts

 

Return:

1. A clean edited version
2. A short list of the biggest changes
3. Any factual gaps that still need a human source

 

The prompt is not the magic part

A strong prompt can improve the output. It cannot create original thinking from nothing.

AI still needs something real to work with:

• A customer quote
• A product limitation
• A sales objection
• A specific workflow
• A point of view
• A result that can be verified
• A moment you have actually seen
• A trade-off your audience needs to understand

The more real material you add, the less the model has to fill the gaps with safe, familiar language.

That is the real anti-generic strategy.

A quick prompt checklist

Before asking AI to write, check whether your prompt includes:

Ingredient	Why it matters
Specific audience	Stops the output trying to speak to everyone
Real problem	Gives the piece an actual reason to exist
Source material	Reduces invented filler
Desired outcome	Clarifies what the reader should understand or do
Point of view	Prevents neutral, empty summaries
Constraints	Stops the model defaulting to familiar clichés
Proof requirements	Flags claims that need human validation
Format guidance	Helps the result fit the channel without becoming formulaic

FAQ

Why does AI writing sound generic?

AI writing sounds generic when the prompt gives it a broad topic but no real context, evidence or editorial angle. The model fills missing detail with language that is statistically familiar and safe. Better source material creates more specific output.

Should marketers use AI to write full articles?

They can, but it works best when AI supports a process that includes human research, judgement and editing. Use it to structure raw material, identify gaps, develop angles and improve clarity. Do not expect it to invent original expertise without input.

How do I stop AI from inventing facts?

Tell it not to add facts, statistics, customer examples or claims that you have not supplied. Ask it to flag statements that need evidence. Then check the final draft against your sources before publishing.

Can AI help with brand voice?

Yes, especially when you give it examples of approved writing, words to avoid, audience language and a clear point of view. It is usually better at following a defined voice than discovering one from a vague instruction such as “make it sound human.”

What is the best use of AI for marketers?

One of the best uses is helping marketers turn existing knowledge into usable formats. This can include sales call notes, customer questions, product documentation, research and rough expert thoughts. AI can speed up the shaping process, but the original insight still needs to come from people.

Conclusion

The fastest way to get generic copy from AI is to ask for generic copy.

Give it a broad topic, no evidence and a vague instruction to “make it engaging,” and it will produce something that sounds finished but says very little.

Give it a real problem, a clear audience, a point of view and constraints that force specificity, and it becomes more useful.

The prompt does not replace good marketing judgement.

It gives that judgement a better starting point.