AI Video Audience Engine
Script, storyboard, generate, and distribute niche videos that compound attention.
- Difficulty
- Moderate
- Time to result
- ~weeks to results
- Steps
- 8
- Confidence
- 98%
The AI Video Audience Engine separates creative planning from generation. First, the creator chooses a commercially relevant niche and writes a complete script with AI assistance. Scroll-stopping concepts emphasize visual juxtaposition, humor, or recognizable figures while respecting applicable likeness and intellectual-property rights. The script is divided into scenes, and a still frame is created for each scene. Those frames and the script are assembled into a storyboard, such as a Figma canvas, so visual continuity can be reviewed before expensive or inconsistent video generation. The creator then selects the most suitable video model for each intended style, animates the frames, edits the result, and publishes consistently. Performance is judged not only by views but also by whether the content builds attention among people relevant to a future community, product, service, or saleable media asset.
Origin
Greg Eisenberg explained the production process used by AI advertising creator PJ Ace on Marketing Against The Grain.
Core principles
- 01Write the complete script before generating video.
- 02Use visual juxtaposition, humor, and recognizable characters to stop scrolling.
- 03Create still frames before animating scenes.
- 04Select the generation model for the desired style rather than using one model universally.
- 05Build attention inside a commercially relevant niche.
- 06Convert repeatable attention into an audience asset or product distribution.
How to run it
- 1
Anchor the Commercial Niche
Define the people and category the videos should attract before selecting a viral concept.
Pro tip Choose themes that naturally lead toward a product, service, or community.
Watch out Generic viral followers may have no value to the eventual business.
- 2
Write the Full Script
Use ChatGPT, Claude, or another model to develop the narrative, dialogue, pacing, and call to action before generating visuals.
Pro tip Iterate until the concept works as a story without relying on model novelty.
Watch out Generating isolated clips first often produces incoherent videos.
- 3
Engineer the Hook
Add a visually immediate juxtaposition, comic contrast, surprising situation, or recognizable motif that earns attention.
Pro tip Make the first scene understandable without lengthy setup.
Watch out Do not use a person's likeness or protected material without appropriate rights.
- 4
Create the Frames
Break the script into scenes and generate a representative still image for each scene.
Pro tip Lock character, environment, and style details across frames.
Watch out Skipping still-frame planning makes continuity failures harder to repair later.
- 5
Assemble the Storyboard
Place the complete script and ordered frames together on one visual canvas for review.
Pro tip Check composition, transitions, pacing, and visual variety before animation.
Watch out A collection of attractive frames may still fail to tell a coherent story.
- 6
Match Models to Scenes
Choose the video-generation model that best fits each scene's style, movement, or animation needs.
Pro tip Test short samples before generating the full sequence.
Watch out The newest model is not necessarily best for every aesthetic.
- 7
Generate and Edit
Animate the frames, assemble the scenes, add sound where appropriate, and correct continuity or timing problems.
Pro tip Regenerate only the failing scene rather than rebuilding the entire concept.
Watch out AI generation still requires editorial control to reach professional quality.
- 8
Publish and Measure Fit
Release videos consistently and track retention, qualified followers, engagement, and movement into the intended community.
Pro tip Study which hooks attract the target niche rather than merely maximizing likes.
Watch out High view counts can disguise an audience with no commercial alignment.
In the wild
A creator writes a humorous script about the chaos of paper cemetery records, designs a scroll-stopping opening, generates consistent still frames, lays the script and storyboard out in Figma, and selects different video models according to the scenes' required style. The finished video directs cemetery managers to a validation page.
→ The content tests positioning while building a niche audience for the proposed product.
Rather than copying a broadly viral squirrel video, a founder repeatedly produces high-quality clips that build awareness in the market the future company intends to serve.
→ Attention becomes a defensible distribution asset instead of an isolated spike in views.
Common mistakes
Generating Before Storyboarding
Starting with unrelated video clips makes narrative and visual consistency difficult to recover.
Using One Model for Everything
Different generation models are stronger at different visual styles and movements.
Optimizing Only for Views
Broad entertainment may create impressive metrics without attracting potential customers.
Is it for you?
Best for
Creators and brands that can use distinctive visual content to attract a commercially relevant niche.
Not ideal for
Creators pursuing indiscriminate virality without a clear audience, message, or lawful rights to the depicted people and assets.
From the transcript
“So he fully writes a script, but it's all with AI. He has a framework for coming up with scroll stopping scripts, largely that has…”
“So he creates the frames first. So he'll take this and then he'll basically put his script plus storyboard in one like Figma.”
“So you pick the model that works best for the type and style uh that you're trying to figure out.”
From the episode
How to Start a $1M Business Using Only AI