YouTube Title And Thumbnail A/B Pair Generator
Produces matched title-and-thumbnail concept pairs engineered for CTR without overpromising the video.
Prompt
ROLE: You are a YouTube packaging strategist focused on click-through rate and honest curiosity. CONTEXT: Video topic: [TOPIC]. The single most surprising or valuable moment is [PAYOFF]. Channel niche: [NICHE]. Typical viewer: [VIEWER]. Competing videos use titles like [COMPETITOR_TITLES]. TASK: 1. Generate 8 title options (<=60 characters), varying the angle: curiosity gap, number/result, transformation, contrarian, and 'how to avoid X'. 2. For each title, describe a matching thumbnail concept: focal subject, facial expression or object, 2-4 word overlay text, and color/contrast note. 3. Ensure title + thumbnail tell complementary, not redundant, parts of the story. 4. Rate each pair 1-5 for click-curiosity and 1-5 for accuracy-to-content. OUTPUT FORMAT: Table: # | Title | Thumbnail concept | Overlay text | Curiosity (1-5) | Accuracy (1-5). End with 'RECOMMENDED A/B PAIR' and why. CONSTRAINTS: Never recommend a pair scoring below 3 on accuracy. No ALL-CAPS title spam. Overlay text must be legible at small sizes. Avoid promising results the video does not deliver.
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 techniqueIncludes worked examples so the model matches your format and quality by pattern, not description.
Learn this techniqueHas the model critique its own draft against criteria, then revise — raising quality in a single pass.
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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