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Best prompts for LIM (Language-Image Models) — Content Creation

13 copy-ready, practical prompts optimized for multimodal (LIM) workflows: image editing, asset generation, localization, A/B testing, storyboarding, infographics, and alt-text/caption production. Each entry includes a concise title, a short explanation, a ready-to-send prompt, a realistic example, and recommended AIs.

Gemini 2.5 Pro
GPT-5
Claude Opus 4
Claude Sonnet 4
Gemini 2.5 Flash
You know that moment when you're staring at a blank AI chat box, trying to figure out how to get your language-image model to actually create what you need for work? You type something vague like "make this image better" and get back... well, not what you had in mind. We've all been there, wrestling with these powerful tools that seem to understand everything except what we're actually trying to accomplish.
This collection of 13 battle-tested prompts transforms your scattered AI experiments into a reliable content creation system. From turning product photos into Instagram carousels to generating A/B test variants and localizing images for international markets, each prompt comes with specific instructions, realistic examples, and recommended AI tools. Instead of spending hours crafting the perfect prompt through trial and error, you'll have ready-to-use templates that consistently deliver professional results for your marketing, design, and content needs.
1
Instagram product carousel from photos
You have 3 attached images: product_front.jpg, product_detail.jpg, product_packaging.jpg. Create a 5-slide Instagram carousel (1080x1080 each) ready to post. For each slide return: 1) final image file name (PNG), 2) short edit summary (what retouching / crop / background applied), 3) headline (<=45 characters), 4) body text (<=90 characters), 5) CTA text (<=3 words), 6) alt text (<=125 characters), and 7) color palette hexes used. Produce export settings (format, resolution) and one suggested posting caption (<=280 characters) that includes 2 hashtags. Also produce the edited images as base64-encoded PNGs or provide exact transform steps if you cannot encode.
Turn product photos into a 5-slide Instagram carousel with finished images, copy, and export specs.
2
YouTube thumbnail creative with variant options
Using the attached frame screenshot: video_frame.jpg, design a 1280x720 YouTube thumbnail that increases CTR. Deliver: 1) three variant thumbnails (describe each exact edit and composition), 2) primary overlay text (max 6 words) and secondary text (max 12 words), 3) suggested color outline for text (hex) and font pairing, 4) focal area crop coordinates, 5) accessibility alt text. Provide export settings (PNG) and one-line A/B test hypothesis for the three variants.
Produce a bold, clickable thumbnail with text and 3 quick variants for testing.
3
Convert sketch to vector poster
Attached file: sketch.png (hand-drawn poster layout). Convert this sketch into a scalable vector poster (A2 printable). Use a flat 2-color style, align elements exactly to the sketch's layout, and output an SVG and a 300 DPI PNG. Return: 1) final SVG filename, 2) few-line style guide (fonts, font sizes, spacing), 3) exact color hexes, 4) layer breakdown (background, illustrations, text), 5) export commands or base64-encoded SVG if available.
Transform a rough sketch into a clean, print-ready vector poster and provide fonts, colors, and SVG export details.
4
Generate 4 A/B image variants for ad testing
Input image: hero_product.jpg. Create 4 variants with only the described changes so they are comparable for A/B testing. For each variant, return: filename, variant description (exact edits), color treatment, text overlay (if any), recommended aspect ratio for each ad platform (FB feed 1:1, IG story 9:16, etc.), and a one-sentence hypothesis for CTR or conversion. Also include alt text and image compression settings for web.
Produce four distinct image variants for a paid ad campaign with explicit pixel-level edit instructions and expected hypothesis.
5
Extract structured content from a marketing screenshot
Attached: promo_screenshot.png. Extract and return: 1) all visible text in reading order, 2) title/subtitle/body separated, 3) detected fonts (closest matches), 4) exact hex color codes for backgrounds, accents, and body text, 5) layout bounding boxes as percentages (x,y,width,height) relative to image size for headline, image, CTA, and body, and 6) one-sentence recommendation for reproducible template dimensions and spacing.
Parse a marketing screenshot into structured text, color palette, and layout proportions for reuse in templates.
6
Batch generate SEO alt text, captions, and keywords
You will receive a list of image filenames and a short context line about the project. For each image return: 1) alt text (<=125 characters), 2) one-line SEO caption (<=150 characters), 3) 6 target keywords separated by commas, 4) recommended filename for SEO (kebab-case). Maintain brand tone: "friendly, professional". Output results as a JSON array.
Given a batch of images, produce concise alt text, SEO-friendly captions, and a set of 6 keywords per image.
7
Create on-brand product mockups from a single asset
Attached: product_photo.png. Brand guidelines: primary color #0A74FF, secondary #F5F7FA, font: Inter. Create 5 mockups: online store hero, Instagram post, email header, hero banner, and mobile app card. For each mockup provide: 1) composition description, 2) exact color overlays and hex usage, 3) text placements and sample copy, 4) export file name and format (SVG/PNG), and 5) scale/bleed instructions for print if applicable.
Produce multiple contextual mockups that follow provided brand guidelines using one product photo.
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