Promptmkr

Bad prompt examples and how to fix them

Seven of the most common bad AI prompts, why each one fails, and a refined version that actually works.

1. “Write me a landing page”

❌ Write me a landing page

Why it fails: No product, no audience, no offer, no proof, no constraint, no format. The model invents everything.

✅ Better prompt:

You are a senior conversion copywriter.
Product: {{product}} (one-sentence description)
Audience: {{audience}}
Main objection: {{main_objection}}
Promise: {{promise}}
Proof: {{proof}}
Task: Draft a landing page with hero, sub-hero, 3 benefit blocks, 1 objection-handling section, and a CTA.
Constraints: No buzzwords ("revolutionary", "unlock"). Max 50 words per block.
Decision rule: Pick the angle that most directly neutralizes the main objection.

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2. “Give me content ideas”

❌ Give me content ideas

Why it fails: No audience, no channel, no goal, no constraint. The result is a generic list anyone could write.

✅ Better prompt:

You are a content strategist.
Audience: {{audience}}
Channel: {{channel}} (e.g., LinkedIn, YouTube, newsletter)
Goal: {{goal}} (e.g., demand, education, retention)
Task: Give 10 content ideas that match the channel and goal.
Return: title, format, target keyword (if any), what the audience learns, why it converts.
Reject ideas that could appear on any brand's blog.

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3. “Make this sound better”

❌ Make this sound better

Why it fails: "Better" is undefined. The model will pick a generic "more polished" voice instead of solving a real problem.

✅ Better prompt:

Task: Rewrite the text below for {{audience}}.
Goal: {{goal}} (e.g., increase clarity, reduce word count by 30%, shift tone to confident-not-pushy).
Constraints: Keep all numbers. Keep all proper nouns. No clichés.
Return: 3 alternative versions plus a one-sentence explanation of the strategic choice behind each.

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4. “Write a cold email”

❌ Write a cold email

Why it fails: No sender, no recipient, no offer, no CTA, no proof. The result is a textbook template that gets ignored.

✅ Better prompt:

You are a B2B SDR.
Sender: {{sender_role}} at {{sender_company}} ({{sender_offer}})
Recipient: {{recipient_role}} at {{recipient_company}}
Trigger event: {{trigger}} (recent hire, funding, product launch, etc.)
Pain hypothesis: {{pain}}
Task: Draft a 70-word cold email.
Constraints: One pain sentence, one proof sentence, one CTA. No "I hope this finds you well".
Decision rule: Lead with the trigger event, not the offer.

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5. “Create a marketing plan”

❌ Create a marketing plan

Why it fails: No business model, no budget, no horizon, no channel constraint. The model returns a template instead of a plan.

✅ Better prompt:

You are a senior marketing director.
Business: {{business_model}} ({{stage}})
Audience: {{audience}}
Budget: {{budget}} / quarter
Horizon: 90 days
Constraint: Only channels we can staff today: {{available_channels}}
Task: Build a 90-day marketing plan.
Return: north-star metric, 3 bets, 1 hypothesis per bet, weekly milestones, kill criteria.
Reject any channel we can't staff in week 1.

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6. “Summarize this”

❌ Summarize this

Why it fails: No audience, no length, no purpose. The result is a generic paragraph instead of a useful brief.

✅ Better prompt:

Task: Summarize the text below for {{audience}}.
Goal: {{purpose}} (decide / share / forward / archive).
Length: {{length}} (e.g., 80 words, 3 bullets, one paragraph).
Structure: lead with the decision the reader needs to make, then 3 supporting points, then 1 risk.
Reject filler sentences and restatement.

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7. “Analyze my audience”

❌ Analyze my audience

Why it fails: No source material, no segmentation, no decision the analysis should support. The model invents a persona.

✅ Better prompt:

You are a customer-research analyst.
Audience: {{audience}}
Source: {{source_material}} (interviews, support tickets, sales notes — paste inline)
Goal: {{goal}} (e.g., identify the strongest objection, find the trigger event, choose a hero promise)
Return: recurring objection (verbatim, with frequency), trigger event, verbatim language, top 3 buying-process bottlenecks, and the single recommendation for the next campaign.

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