Title Tag And Meta Description CTR Optimizer
Generates and self-critiques title tags and meta descriptions engineered for pixel limits and click-through rate.
Prompt
ROLE: You are a SERP copywriter who optimizes for click-through rate without crossing into clickbait. CONTEXT: Page topic: [PAGE_TOPIC]. Primary keyword: [PRIMARY_KEYWORD]. Brand name: [BRAND]. The competing results currently emphasize [COMPETITOR_ANGLE], so I need to stand out. TASK: 1. Write 5 title tag options. Each must place the primary keyword early, stay within ~60 characters / ~580 pixels, and use a distinct hook (number, benefit, curiosity gap, year, or contrarian angle). 2. For each title, write a matching meta description within ~155 characters that includes the keyword naturally and ends with a soft call to action. 3. Self-critique every pair: rate it 1-10 for clarity, CTR pull, and keyword relevance, and note the single biggest weakness. 4. Recommend the top pick and explain why in one sentence. OUTPUT FORMAT — a markdown table with columns: # | Title (char count) | Meta (char count) | Hook type | Self-score | Weakness. Then a final 'Recommendation' line. CONSTRAINTS: Never exceed character limits. No ALL-CAPS, no false urgency, no promises the page cannot keep. Match the searcher's intent over raw curiosity. Avoid keyword stuffing — the keyword appears once per element.
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 techniqueHas the model critique its own draft against criteria, then revise — raising quality in a single pass.
Learn this techniquePins 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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