Prompt Workshop
Why it is written this way
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The product I am selling is {{target product item}}. I want to create a {{video length}} promotional video for this product. The target audience consists of people scrolling quickly through their social media feeds with sound off. The single most essential message this video must convey is: "{{points to emphasize}}".
Please follow a structured process rather than jumping straight to visual ideas: ① Define the core message for each shot first — divide them into Hook (to stop scrolling), Current Pain Point, Solution Moment (the product solving the pain point), Key Benefit, and Call to Action. ② Allocate specific seconds to each message. ③ Only then translate what should be shown on screen into detailed English visual prompts.
Present the final output as a table with the following columns: "Timestamp (Seconds) · Message Delivered · Visual Description (English Prompt) · On-Screen Text Overlay". Keep the on-screen text under 5 words per shot so the message is crystal clear even on mute. Below the table, summarize in a single sentence what this video communicates overall.
Do not invent any features, specs, or metrics that I haven't provided. Mark any unknown values as [To Be Confirmed]. Do not use superlatives such as "the best", "#1", or "only", and do not make comparisons with competitor brands. Avoid absolute claims regarding effects or performance. Do not include real celebrities' faces or third-party logos in the visual setup.
- Material What the AI needs to know ×1
- Work What to do, and how ×1
- Output What comes back, in what shape ×2
When you just give a product name to an AI for video generation, it spits out generic pretty shots: a sunlit kitchen, a slow-rotating product, and a smiling person. But after watching, viewers still don't know why they should buy it. Visuals are merely the vessel carrying the message; if you pick the vessel first, you end up with nothing inside.
Read the full explanation · 3 paragraphs
This is why the context explicitly specifies "viewers scrolling through feeds with sound turned off." Defining the viewing environment changes everything. Mentioning "muted sound" forces effective on-screen text copy, and "fast scrolling" demands a hook within the first 3 seconds. Without this constraint, you get slow-paced, traditional TV-commercial style pacing.
Structuring the workflow to define the message before assigning the visual is the core framework of this prompt. Asking for everything at once causes the AI to prioritize flashy visual descriptions while the message gets lost. That inverted sequence is the most common pitfall in AI-assisted video ad planning.
The tabular format places message, visual prompt, and copy side by side for each cut, making any gaps instantly visible. If a message cell is weak, that cut should be removed. The constraint rules proactively block risky advertising claims. AI tends to fabricate plausible-sounding specs, and unfounded superlatives or efficacy claims can lead to regulatory and compliance issues.
Unfamiliar terms? See Aha AI: output-format, context-window
Compared with a bad example
I want to make a 20-second promo video for a mini rice cooker, please give me a scene breakdown.
A vague request like this results in a generic list of scenes: "Warm morning sunlight, steaming rice cooker, smiling single professional." Because there is no defined message per cut, changing the order makes no difference, and the on-screen text becomes empty clichés like "Transform your morning." Vital buying triggers like cooking time or compact capacity are completely left out.
Variations
When Editing with Existing Stock Footage
When working with existing assets, you need an asset checklist and editing directions rather than text-to-video generation prompts.
Show prompt
I want to create a promotional video for {{target product item}} using existing photos and short b-roll clips without new filming. Structure the cuts to deliver "{{points to emphasize}}" within {{video length}}. Describe what kind of existing footage is needed for each cut, and clearly flag any cut that requires additional shooting. Write shooting and editing directions instead of AI generation prompts.
Creating Multiple Variations for Different Audiences
When the target audience shifts, the exact same feature must be framed differently. Generating common elements together streamlines batch shooting and editing.
Show prompt
I want to create three different versions of a promo video for {{target product item}} by tailoring them to distinct target audiences. The core focus remains identical: "{{points to emphasize}}". However, the target viewers are: 1) College students living on their own, 2) Busy young professionals, and 3) Adult children buying it as a gift for their parents. Provide a storyboard table for each version, and summarize below the tables what elements remain consistent and what changes across the three.
Model notes
Most AI video generation tools struggle to render crisp in-video text accurately. Do not include on-screen text overlays inside the visual English prompts; instead, add them as text layers during post-editing. Since text-to-video tools usually generate short clips, it is safer to generate each shot separately based on the table's cut breakdown and stitch them together.
Last updated 2026-09-02 · Found a mistake? Let us know