AI Prompts for Runway Prompts for Product Videos

Brief my product video: [PRODUCT, PRICE POINT, AUDIENCE, WHERE IT SELLS]. Define: the one feeling the video must create ([DESIRE TYPE: PREMIUM CRAVING / PRACTICAL CONFIDENCE / NOVELTY EXCITEMENT]), the 3 things the viewer must see clearly (materials, scale, key feature), the buying objection the video should silently answer, and the format: hero film, feature loop, or listing video, with target length for [PLACEMENT].

Here are my product assets: [DESCRIBE PHOTOS: ANGLES, BACKGROUNDS, QUALITY]. Build the Runway shot list: which photos become image-to-video shots (and the motion each gets), the gaps needing text-to-video generation (lifestyle context, environment shots), and the shot order for a [LENGTH] video: establish, detail, context, close. Flag any photo too weak to animate and what to reshoot.

My product’s appeal is physical: [MATERIALS: LEATHER, GLASS, METAL, FABRIC, WOOD]. Plan the shots that sell materiality on screen: the light behavior that reveals each material (specular glint on glass, soft sheen on leather), the camera moves that show texture (slow macro drift), and the Runway prompt language for each material shot. Touch is the sense ecommerce cannot offer; light and motion have to substitute.

My product’s key feature is: [FEATURE AND HOW IT WORKS]. Design how to show it in AI video honestly: the visual sequence that communicates the feature without faking a demo (before-state, transformation or reveal, after-state), what Runway can render credibly versus what needs real footage or animation, and the disclaimer line if any generated shot could be read as a literal demo.

Spec my ecommerce listing video for [PLATFORM: AMAZON / SHOPIFY / ETSY]: platform video requirements and lengths, the first-frame rule (the product, clearly, immediately), the shot sequence that answers the top listing questions ([PASTE COMMON CUSTOMER QUESTIONS]), no-audio comprehension, and the compliance items: no claims the listing text does not make, no misleading renders of scale or color.

Write the Runway image-to-video prompts for my product shots: [LIST PHOTOS AND THE FEELING EACH SHOULD HAVE]. For each: the camera motion (slow push-in for desire, orbit for dimension, drift for calm), what must stay perfectly stable (the product itself, logos, labels), atmosphere additions (dust motes in light, soft shadows shifting), and the restraint rule: motion serves the product, never competes with it.

Generate lifestyle environments for my product: [PRODUCT] belongs in [CONTEXTS: MORNING KITCHEN, STUDIO DESK, EVENING LIVING ROOM]. Write text-to-video prompts for each environment as empty stages (consistent light direction and palette with my product shots: [DESCRIBE]), planned so the product shot cuts believably into the sequence. List the continuity details that make the cut invisible: light temperature, shadow direction, lens feel.

Build my product accuracy QA for every generated shot: color fidelity against the real product ([EXACT COLORS]), proportion and scale distortion check, logo and label integrity (AI warps text; plan crops or post-fixes), material behavior realism, and count of anything countable (buttons, ports, stitching). One inaccurate shot in a product video is a returns problem, not just an aesthetic one.

Buyers misjudge my product’s size: [PRODUCT AND DIMENSIONS]. Design the scale shots: the reference objects that read instantly on camera ([CONTEXT OBJECTS]), the environments that frame true size, and the Runway prompts (image-to-video from my photos with scale context, or generated scenes matched to my product’s real proportions). Wrong size expectations drive returns; these shots are insurance.

Every product film needs one shot that could be the ad by itself. My product: [DESCRIBE]. Design 3 hero shot concepts: the drama mechanism for each (light reveal, slow rotation from shadow, environmental moment), the Runway prompt with full cinematic language, and the evaluation bar: would this stop a scroll at thumbnail size? Generate all 3, keep the winner.

Edit plan for my listing video: [LIST FINAL SHOTS]. Sequence for conversion: product clear in frame one, the desire shot by second [N], feature and detail in the middle, context for scale, end on the product with breathing room for the CTA overlay. Pace: [PLATFORM] norms. Give me the cut timings and the one shot to cut entirely if the video runs long: every second must earn its place.

My product video will loop on [PLACEMENT: LISTING PAGE / FEED]. Engineer the loop: the shot order where last frame flows into first, motion continuity across the loop point, and whether a seamless loop (same shot start and end) beats a hard restart for my content. Specify the Runway generation or edit adjustments to make the loop invisible.

Plan the overlays for my product video: [KEY MESSAGES, PRICE / OFFER, CTA]. Rules: the product is the star, text supports (small, clean, out of the product’s way), one message per moment, price appears [STRATEGY: EARLY FOR VALUE POSITIONING / AFTER DESIRE BUILDS FOR PREMIUM], and platform safe zones for [PLACEMENTS]. Output the overlay script with timing and position per card.

Sound design for my product video: [PRODUCT, MOOD]. Choose: music character that matches the price point (premium wants restraint), the product sound moments worth adding in post (the click, the pour, the fabric move) even though the video is generated, and the mute-first rule: full comprehension with sound off, reward with sound on. Give me the audio brief.

From my master product video, plan the variant cuts: lengths ([15S / 30S / 6S]) per placement, the square and vertical reframes and which shots survive each crop, a feature-focused cut for retargeting audiences who already saw the hero video, and the seasonal overlay swap for [UPCOMING MOMENT]. Output the cut matrix: name, length, ratio, placement, difference.

I have [NUMBER] products needing video. Build the production system: the template shot sequence every product follows (adapted from my winner), the per-product asset checklist (photos needed, angles, quality bar), the prompt templates with product-variable slots, batch generation workflow, and the realistic throughput: products per week at [HOURS AVAILABLE]. Prioritize by [CRITERIA: BESTSELLERS / MARGIN / NEW LAUNCHES].

My product videos must look like one brand across [NUMBER] products. Lock the system: the shared style block for all prompts (light, palette, environment family, motion personality), the edit template (pacing, overlay style, music family), and the drift check: every [N] videos, line up thumbnails side by side and verify they read as siblings. Document as the one-page video style guide.

New products launch every [FREQUENCY]. Design the launch video pipeline: the pre-launch asset requirements I give the product team (photo specs for image-to-video), the standard launch video package (hero film, listing video, 2 social cuts), the production timeline backwards from launch date, and the day-one publishing checklist per channel.

Review my product video performance: [PASTE DATA: LISTING CONVERSION BEFORE AND AFTER VIDEO, AD METRICS PER PRODUCT VIDEO]. Identify: which video styles correlate with conversion lift, products where video underperforms (and the likely shot-level reason), and the refresh queue: which videos to regenerate with the winning style first. Output the refresh priority list with the specific change per video.

Run my quarterly product video audit: coverage (products with video versus without, ranked by traffic), accuracy (any product changes that made videos stale: packaging, colors, versions), performance ([DATA]), and production economics (cost per video versus [ALTERNATIVE: PRODUCT VIDEOGRAPHER RATES]). Output: the quarter’s priorities in order, with the first three actions specific.