Prompt Details
Model
Chat - (gpt-5.5)
Token size
732
Example input
[GOAL]: Generate high-converting sales page copy
[MODEL]: ChatGPT (GPT-4o)
[USER]: Solopreneurs and course creators
[OUTPUT]: Long-form structured text
[LEVEL]: Intermediate
Example output
1. THE ENGINEERED PROMPT:
Act as a $1M+ direct-response copywriter who has written sales pages for the top 100 online course launches. You combine Eugene Schwartz-style market awareness with modern conversion psychology.
CONTEXT:
The user is launching a digital product/course. They need a sales page that converts cold-to-warm traffic into buyers within 90 seconds of landing on the page.
TASK:
Write a complete, high-conversion sales page following the proven "Problem β Agitate β Solution β Stack" structure.
INPUT VARIABLES:
- [PRODUCT_NAME]: name of the offer
- [PRICE]: the offer price
- [TARGET_AUDIENCE]: specific buyer profile (be detailed)
- [PROBLEM]: the #1 painful problem this solves
- [TRANSFORMATION]: the desired outcome
PROCESS:
1. Open with a pattern-interrupt headline (curiosity + specificity)
2. Lead with the buyer's exact pain in their own language
3. Agitate the cost of inaction (financial, emotional, time-based)
4. Bridge to the new opportunity (what's possible)
5. Introduce the product as the obvious solution
6. Stack value (modules, bonuses, total perceived value)
7. Reverse risk (guarantee, social proof)
8. Drive urgency (genuine scarcity or deadline)
9. Close with a clear CTA repeated 3 times throughout
OUTPUT FORMAT:
- HEADLINE (60 chars max)
- SUB-HEADLINE (1 sentence promise)
- OPENING HOOK (3-5 sentences)
- PROBLEM SECTION (200-300 words)
- AGITATION (2-3 paragraphs of specific cost)
- BRIDGE (transition to solution)
- PRODUCT REVEAL (with value stack)
- BONUS STACK (3-5 bonuses listed)
- GUARANTEE (specific, bold)
- 3 CTAs (top, middle, bottom of page)
- FAQ (5 buyer-objection questions answered)
QUALITY CONSTRAINTS:
- No hype words (revolutionary, game-changing, secret)
- Specific numbers > vague claims (write "$847" not "thousands")
- 8th-grade reading level
- Include 3 sensory details to make scenarios visceral
- Self-check: would a skeptical buyer click "Buy" after reading?
Begin.
2. VARIABLE MAP:
[PRODUCT_NAME]: The exact name of the offer (e.g., "The Cold Email Mastery Bootcamp")
Why it matters: Specificity in name = specificity in positioning
[PRICE]: The offer price ($47, $197, $997, etc.)
Why it matters: Price determines what objections need to be addressed
[TARGET_AUDIENCE]: Detailed buyer profile, not just demographic
Example: "B2B SaaS founders making $20-100k/year who can't break $200k"
Why it matters: Vague audience = vague copy = low conversion
[PROBLEM]: The #1 most painful problem this solves
Example: "They send 100 cold emails and get 2 replies"
Why it matters: Sales pages convert when they name the EXACT problem
[TRANSFORMATION]: The desired outcome in concrete terms
Example: "Get 30%+ reply rates on cold emails within 30 days"
Why it matters: Specific transformation = believable promise
3. FEW-SHOT EXAMPLES:
Example A: Input β "Cold email course, $497, B2B sales reps, low reply rates, 30% reply rate"
Output strength: Sales page leads with "You sent 100 emails this week. 3 people replied. Two said no."
Example B: Input β "Sourdough course, $97, beginner home bakers, fear of failure, perfect loaf in 30 days"
Output strength: Sales page leads with sensory detail (smell, crust crackling) instead of features
The prompt produces consistent quality across vastly different niches because it focuses on the BUYER PSYCHOLOGY structure, not the product specifics.
4. SELF-TEST VALIDATION:
Quality criteria for the generated sales page:
β
Pass: Headline includes specific number or curiosity hook (under 60 chars)
β
Pass: Problem section uses buyer's own language (not marketer language)
β
Pass: Agitation section quantifies cost in money/time/relationships
β
Pass: Value stack adds up to 5x+ the asking price
β
Pass: Guarantee removes risk in one specific sentence
Common failure modes prevented:
β Sales page sounds like a brochure β prevented by buyer-language requirement
β Vague claims ("life-changing") β prevented by specificity constraint
β Weak CTA ("learn more") β prevented by CTA repetition + benefit-driven language
5. OPTIMIZATION VARIANTS:
LIGHTER VERSION (for ChatGPT 3.5 or shorter pages):
Cut: Bonus Stack, FAQ section
Keep: Headline, Problem/Agitate/Solution, Single CTA
Use case: Landing pages for low-ticket offers ($7-$47)
HEAVIER VERSION (for GPT-4 or Claude Opus):
Add: Story-based opening, Customer avatar deep dive, A/B test headline variants (5 options)
Use case: High-ticket sales pages ($497+)
Model-specific tweaks:
- Claude: Wrap output in <sales_page> XML tags for cleaner parsing
- ChatGPT: Use markdown headers for structure
- Gemini: Add explicit "respond in section order" instruction
6. DEPLOYMENT NOTES:
Recommended temperature: 0.7 (balance creativity + consistency)
Token estimate: ~3,500 tokens per full output
Edge cases to watch:
- Wellness/health offers: AI may add unnecessary disclaimers (add "no medical disclaimers" to constraint)
- Adult/risquΓ© products: May refuse - need workaround for legitimate use cases
When NOT to use this prompt:
- For email subject lines (use a dedicated email prompt)
- For technical products requiring deep specs (this is sales-focused)
7. BONUS: REVERSE-ENGINEERED EXAMPLES:
Alternative Structure A: "Story-Lead Sales Page"
Opens with personal narrative β problem reveal β solution = Best for personal brands
Alternative Structure B: "Comparison Sales Page"
"Old way vs New way" structure β Best for product launches against established competitors
Alternative Structure C: "FAQ-Driven Sales Page"
Entire page structured as objection-handling β Best for skeptical, sophisticated buyers
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