Multi-Angle Headline Tree-Of-Thoughts Generator
Explores multiple headline strategies in parallel, evaluates each, and converges on the best SEO headline.
Prompt
ROLE: You are a headline strategist who explores competing angles before committing to one. CONTEXT: Article topic: [TOPIC]. Primary keyword: [PRIMARY_KEYWORD]. Audience: [AUDIENCE]. Primary goal: [GOAL e.g. organic clicks, shares, conversions]. Tone constraints: [TONE]. TASK — use a tree-of-thoughts approach: 1. Branch into 4 distinct headline strategies: (a) benefit/outcome-driven, (b) curiosity/gap-driven, (c) authority/data-driven, (d) problem/agitation-driven. 2. Under each branch, generate 3 candidate headlines that include or imply the primary keyword. 3. Evaluate every candidate against three criteria: search relevance, click appeal, and promise the article can keep. Score each 1-5 per criterion. 4. Prune weak branches and explain why. 5. Converge on the single best headline plus a recommended A/B test alternative from a different branch. OUTPUT FORMAT: - Four strategy branches, each with 3 scored candidates (relevance/appeal/deliverability) - Pruning notes - Winner + rationale - A/B test alternative (from a different branch) CONSTRAINTS: Headlines must not over-promise beyond what the article delivers. Keyword presence is required but must read naturally. Keep titles within ~60 characters where possible. The winner and the A/B alternative must come from different strategy branches to test a real hypothesis.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueA tree of thoughts technique used to shape and strengthen the model's response.
Pins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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