🎬 Generate and auto-evaluate Facebook ad headlines using GPT-4o-mini
⚡ 536 views · 🎬 Content Creation & Video
Description
Generate and Auto-Evaluate Facebook Ad Headlines using GPT-4o-mini
Built with n8n + OpenAI
This workflow captures a product description, generates ad headlines, evaluates them with custom criteria, decides whether another draft is needed, and finally sends the best version via Gmail.
⚡ Section 1: Capture the Brief & Build the Prompt
- 📝 FormTrigger_CopywritingBrief → A simple form asks: “What is your product about?”
- ⚙️ Set_PromptForHeadline → Prepares the input by appending the instruction: “Write a Facebook ad headline for this product:”
Benefit: Ensures consistent, structured prompts so the AI receives clear context every time.
✍️ Section 2: Draft the Headline
- 💬 LLM_HeadlineWriterModel → GPT-4o-mini model provides the intelligence.
- ✍️ Agent_HeadlineWriter → Generates a first-pass Facebook ad headline.
Benefit: Produces creative copy instantly without waiting on a human writer.
📋 Section 3: Define Scoring Criteria
- 💬 LLM_EvalCriteriaModel → Calls GPT-4o-mini again.
- 📑 Agent_EvalCriteriaBuilder → Suggests 5 scoring parameters (scale 1-10). Example: Clarity, Relevance, Hook Strength, Brand Voice, Scroll-Stoppage.
Benefit: Builds an objective, repeatable evaluation rubric automatically.
🔍 Section 4: Evaluate the Headline
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💬 LLM_HeadlineEvaluatorModel → Supplies reasoning power.
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🔍 Agent_HeadlineEvaluator → Applies the 5 criteria to the generated headline and outputs:
- JSON with scores per parameter
- An average score
- A plain-language bottom-line
Benefit: Turns subjective copy quality into measurable numbers.
🔄 Section 5: Decide & Iterate (if needed)
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💬 LLM_BottomLineModel → Interprets the evaluation results.
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🤔 Agent_IterationDecision → Decides:
- Return NO → headline is acceptable.
- Return YES + feedback → headline should be rewritten.
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🔀 If_NeedMoreIterations → Branches:
- If NO → continue workflow.
- If YES → (loop wiring possible) headline can be regenerated with feedback.
Benefit: Keeps iterating until the AI headline meets your standards.
📩 Section 6: Deliver the Result
- 📧 Send a message (Gmail node) → Sends the accepted headline via email.
Benefit: Automates delivery of the polished, AI-approved headline to your inbox or team.
📊 Workflow Overview
| Section | Purpose | Key Nodes | Benefit |
|---|---|---|---|
| ⚡ Capture Brief | Collect product info & prep prompt | FormTrigger, Set | Structured AI input |
| ✍️ Draft Headline | Generate first headline | LLM_HeadlineWriterModel, Agent_HeadlineWriter | Instant creative draft |
| 📋 Define Criteria | Build scoring rubric | LLM_EvalCriteriaModel, Agent_EvalCriteriaBuilder | Objective evaluation |
| 🔍 Evaluate Headline | Score headline & summarize | LLM_HeadlineEvaluatorModel, Agent_HeadlineEvaluator | Transparent quality check |
| 🔄 Decide & Iterate | Accept or refine headline | LLM_BottomLineModel, Agent_IterationDecision, If | Only good results move forward |
| 📩 Deliver Result | Share the final copy | Gmail | Automates delivery |
✅ Final Benefits
- 🚀 One-click workflow: from product description to tested headline.
- 📊 Automatic rubric: objective scoring each time.
- 🔄 Self-improving: poor headlines can auto-iterate with feedback.
- 📧 Direct integration: approved headlines land in Gmail instantly.
- 🧩 Fully modular: easy to extend with Google Sheets, Slack, or CRM nodes.
🔗 Nodes Used
Gmail, AI Agent, OpenAI Chat Model, n8n Form Trigger
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File