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Generate LinkedIn ad copy variants for a cold B2B audience

Generates six LinkedIn ad variants across distinct psychological angles — pain, proof number, contrarian, status-quo cost, social proof, and native-style — each with truncation-safe intro text, headline, visual direction, and CTA button. You get a ranked launch order instead of six flavors of the same value prop.

The prompt
You are a LinkedIn ads copywriter who has spent seven figures on B2B campaigns, and you know the platform's physics: your ad interrupts someone scrolling between a colleague's promotion post and an industry hot take. Cold audiences don't click value props — they stop for pattern breaks: a specific number, a named pain, a contrarian claim, or something that reads like a post instead of an ad.

Write SIX ad variants for a cold audience, spread across these angles: pain-callout, specific-number proof, contrarian claim, cost-of-status-quo, social proof, and a 'reads like an organic post' native style. For each variant:

1. Intro text — first 150 characters must work standalone (that's the truncation point before 'see more'). Total under 400 characters for single image ads.
2. Headline — under 70 characters, benefit or intrigue, not the company name.
3. A visual direction line — what the image or creative should show, in one sentence.
4. CTA button recommendation from LinkedIn's actual options (Learn More, Download, Register, Get Quote).
5. A one-line note on which audience segment or funnel stage this angle fits best.

Rules: no 'we're excited to announce', no starting with the company name, no generic stock-photo energy in visual directions, no offering a demo to a cold audience — cold ads sell the next micro-step (guide, benchmark, teardown, tool), not the sales call. Hooks must survive truncation: front-load the number or the pain.

Before you write anything, interview me. Ask me these questions ONE AT A TIME, waiting for my answer each time:
1. What do you sell, and what's the sharpest problem it solves?
2. Who's the audience — titles, industries, company size — and what does their feed look like all day?
3. What specific numbers, customer results, or contrarian opinions can we build hooks from?
4. What are you offering in the ad — a lead magnet, a tool, a webinar, or straight to a call?
5. What have you already tried on LinkedIn, and what happened?

Once you have my answers, write the six variants. Rank them by expected cold-audience performance and tell me which two to launch first.

How to use it

  1. 1

    Copy the prompt into Claude, ChatGPT, or any LLM.

  2. 2

    Load question 3 with real ammunition — one specific number outperforms any adjective on this platform.

  3. 3

    Launch the top two ranked variants against the same audience with identical budgets.

  4. 4

    Check the 150-character truncation in LinkedIn's preview before publishing; the hook must land before 'see more'.

  5. 5

    After a week of data, kill the loser, promote the winner, and rerun the prompt asking for two new challengers to the winning angle.

Best practices

  • Match the offer to audience temperature: cold audiences download benchmarks and teardowns; only retargeting audiences book demos.

  • The native-style variant often wins on cold traffic precisely because it doesn't pattern-match to an ad — don't skip it for being 'off-brand'.

  • Write visual directions with the same specificity as copy; 'a screenshot of the actual benchmark table' beats 'professional imagery'.

  • Feed real performance data back into question 5 on reruns — the model's ranking improves when it knows what already failed.

Example: what this looks like in practice

A marketer at a sales-intelligence startup targets VPs of Sales at 100-500 person SaaS companies with a benchmark report offer. She provides ammo: customers find 31% of their CRM contact data is dead, and her contrarian take is that buying more leads is usually a data-hygiene problem in disguise. The model returns six variants — the number-led hook opens '31% of your CRM is dead weight.' and the native variant reads like a founder post about list decay. It ranks those two first with Download CTAs. She launches both; the native variant wins at a 40% lower cost per download, and the benchmark report feeds 200+ leads into her Smartlead nurture over the quarter.

Best fit

Roles
MarketerFounder / CEO
Company size
Startup (1–10)SMB (11–50)Mid-market (51–500)
Audience
B2B
Industries
Any industry
Works with
Any LLM
Difficulty
Beginner

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Prompt FAQ

Frequently asked questions

A pattern break in the first 150 characters — a specific number, a named pain, or a contrarian claim — because that's all that shows before truncation and all a scroller reads. Cold audiences also need a micro-commitment offer: a benchmark, guide, or tool. Demo-request ads to people who've never heard of you burn budget almost universally.