Attractive Thumbnail Design Prompt

"Attractive Thumbnail Design Prompt" is a ready-made prompt from the Zayenha Prompt library in Marketing & Sales, written for gpt-5-5. It has a main prompt to copy into the model, built-in quality guards, and a verification prompt to run in a second window to review the answer. The full text needs the Pro plan; the description is open to all.

A meta-generator that turns your video title into a copy-paste thumbnail image prompt with high contrast, clear expression, and small-size-legible text, built to lift click-through rate on YouTube and Snap, for the Saudi market, without fabricating text, logos, or misleading claims.

Pro Model: gpt-5-5 2,955 previews 0 uses Knowledge: 2026-Q2
This prompt requires the pro plan

Your current plan: free

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Use case

Designing a thumbnail for a YouTube, Shorts, or Snap video to lift click-through rate; preparing 3 thumbnail treatments for CTR testing; making a title legible at small size.

#thumbnail#صورة مصغّرة#برومبت صورة#يوتيوب#تسويق

Built-in quality guards

Anti-hallucination

No fabricating misleading text, a claim, a logo, or a brand color not provided

Brand Safety

No misleading content, third-party logos, or elements violating Saudi taste or rights

Visual Coherence

Contrast, focal point, and text are coherent and legible at small size

Audience Fit

Mood, Arabic alignment, and ratio fit the Saudi audience and platform

Frequently asked questions

How do I use this prompt?

Copy the main prompt and paste it into gpt-5-5 or the model you use, replace what is in square brackets with your details, then run the verification prompt in a second window with the answer pasted in, and review it before relying on it.

Is this prompt free?

Its full text requires the Pro plan or higher. Free prompts you can copy at once without an account are on the ready-made Arabic prompts page.

Which model was this prompt written for?

It was written for gpt-5-5 and follows how that model works; you can run it on other models too, reviewing the result, since no single wording guarantees the best result on every model.

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