SEO & Content Optimization5.0 · 0 ratings

Title Tag And Meta Description CTR Optimizer

Generates and self-critiques title tags and meta descriptions engineered for pixel limits and click-through rate.

Role-BasedSelf-CritiqueStructured-Output

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. 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. 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. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Self-Critique

Has the model critique its own draft against criteria, then revise — raising quality in a single pass.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Recommended models

claudegpt-4ogemini

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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