Scroll-Stopping Social Media Ad Images

Create high-converting ad images designed to capture attention in feeds.

Prompt · 3 variables

I plan to publish an ad image on {{media distribution channel}} promoting {{product or service to promote}}. The target audience is {{target audience persona}}. They scroll quickly through feeds and decide whether to stop within one second.

Please generate image generation prompts in English for this ad. Rather than translating literal descriptions, structure the prompt with concise English noun phrases separated by commas in this specific order: Subject → State and Action → Background → Composition & Camera Angle → Lighting → Art Style. Do not attempt to describe abstract benefits in words; instead, translate those benefits into a visible, concrete scene.

Provide 3 distinct creative concepts. For each option, write a single-line English image prompt, followed by a brief one-line explanation of the intended marketing context, and another line specifying where the negative space for text overlay is located.

Do not include instructions to render visible text or brand logos inside the generated image, as copy will be overlaid later in editing. Instead, compose the visual so one section of the frame consists of clean negative space. Avoid depicting real public figures, specific trademarked competitor designs, or unverified functional claims not specified above.

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Why it is written this way

Context
I plan to publish an ad image on {{media distribution channel}} promoting {{product or service to promote}}. The target audience is {{target audience persona}}. They scroll quickly through feeds and decide whether to stop within one second.
Task
Please generate image generation prompts in English for this ad. Rather than translating literal descriptions, structure the prompt with concise English noun phrases separated by commas in this specific order: Subject → State and Action → Background → Composition & Camera Angle → Lighting → Art Style. Do not attempt to describe abstract benefits in words; instead, translate those benefits into a visible, concrete scene.
Format
Provide 3 distinct creative concepts. For each option, write a single-line English image prompt, followed by a brief one-line explanation of the intended marketing context, and another line specifying where the negative space for text overlay is located.
Constraints
Do not include instructions to render visible text or brand logos inside the generated image, as copy will be overlaid later in editing. Instead, compose the visual so one section of the frame consists of clean negative space. Avoid depicting real public figures, specific trademarked competitor designs, or unverified functional claims not specified above.

The most frequent mistake when using AI for social ad visuals is asking the model to render typography directly onto the image. Image generation models treat letters as graphic shapes, resulting in illegible, mangled text. Since typography is best added in graphic design tools, the primary goal of the prompt is reserving clean negative space for that copy.

Specifying the channel and audience in the Context section ensures the scene fits consumption habits. A story format demands a tall vertical layout for fast swiping, whereas a blog banner is wide and viewed longer. Stating that viewers "decide whether to stop within one second" instructs the AI to favor clean, uncluttered visual hierarchy. Without this boundary, models tend to produce overly busy images where key elements get lost on mobile screens.

The Task section enforces a strict ordering rule. Placing the subject first, followed by lighting and stylistic cues, keeps the core product focal. Transforming benefits into visible scenes is essential: abstract phrases like "great cost performance" cannot be visualized, but "placed seamlessly on a compact studio kitchen counter" produces an instant visual anchor.

The Format section requests three distinct creative directions and explicitly maps out where negative space sits. Producing high-performing ad creatives requires comparing alternatives and iterating on specific descriptors. Having predefined copy placement coordinates speeds up the transition to graphic layout tools, ensuring seamless integration between AI imagery and typography.

Unfamiliar terms? See Aha AI: output-format, prompt

Compared with a bad example

Common bad example

Make an image prompt for an induction cooktop ad on Instagram with the text "Perfect 3-burner induction cooktop for small apartments" written on it.

Requesting text directly inside the image causes garbled, unusable lettering. Lacking composition and lighting parameters, the product often fills the entire canvas with zero negative space for copy overlays. Providing only a single concept leaves no basis for comparison or refinement.

Variations

When the Selected Concept Lacks Visual Impact

When the Selected Concept Lacks Visual Impact

I chose one of the concepts above, but I am concerned it will not stand out enough to {{target audience persona}} in their feed. Without rewriting the entire prompt from scratch, provide 3 modified variations adjusting only visual hook elements (such as color contrast, dramatic lighting, subject scale, or background simplicity). Below each option, add a one-line note explaining what changed and why.

Rewriting the entire prompt risks losing what worked in the original draft. Constraining the revision to four specific visual levers ensures controlled, methodical iteration.

Adapting One Concept Across Multiple Channels

Adapting One Concept Across Multiple Channels

I want to adapt the ad image for {{product or service to promote}} across multiple platforms beyond {{media distribution channel}}. Write separate English image prompts for the same visual concept tailored to vertical (9:16), square (1:1), and wide horizontal (16:9) aspect ratios. Adjust only the composition, subject framing, and negative space placement to fit each layout, keeping the core visual elements identical. Add a one-line note for each format indicating where to position the ad copy.

Generating entirely new prompts per channel fragments brand consistency. Modifying only framing and negative space maintains a cohesive cross-channel campaign look.

Model notes

Aspect ratio syntax varies across image generation tools. Some use inline command parameters (such as `--ar 1:1`), while others use interface presets. Adjust the layout references in the generated prompt according to your specific platform's formatting.

Related prompts

Last updated 2026-09-02 · Found a mistake? Let us know