AI Trailers & Marketing

Here's the indie film math nobody warns you about: finishing the film is the halfway point. The second half is getting anyone to watch it, and that half has historically belonged to whoever could afford a trailer house, a key art designer, and a social team. This is the stage of the pipeline where AI changes the equation the most — because marketing is mostly volume work built on top of creative decisions, and volume work is exactly what these tools eat for breakfast.

Everything from the last chapter carries forward. The transcription you made for the edit, the cleanup passes, the graded master — that's now your marketing raw material. Let's turn one film into a campaign.

The AI film trailer workflow that actually works

An AI film trailer doesn't mean a machine cuts your trailer. It means the machine does the searching while you do the choosing. My workflow: first, run your transcription across the whole film and mine it — every sharp line, every gasp-worthy beat, every image that stops the scroll, tagged and timecoded in an afternoon instead of a week of rewatching. Tools like ChatGPT or Claude can chew through that transcript and surface candidate moments you'd forgotten you shot. Second, use cutdown assists in your editor — CapCut and Runway both do serviceable rough passes — to sketch trailer shapes fast. Third, generate your captions automatically, because most trailer views happen on mute and uncaptioned trailers die silently.

But here's the boundary, same as it was in the edit: trailer structure is still a human craft. A trailer is a three-act film in ninety seconds — the hook that earns attention, the escalation that builds want, and the button, that last beat that makes someone hit share. The machine can find your material. It cannot feel which moment is the hook. That's you.

Posters, key art, and the thirty-asset film

Key art is where generation gets seductive and where you need the Chapter 4 rules in your back pocket. Yes, Midjourney can produce a striking poster concept in minutes, and for exploration — trying twelve visual directions before lunch — it's genuinely brilliant. But two hard cautions. First, check your rights: purely AI-generated imagery sits in contested copyright territory, which means key art you can't protect and platforms may flag. Second, don't ship pure-AI key art without a human pass — real design work, your actual film's photography composited in, human typography and finishing. The generated image is a sketch; the poster is a product.

Then comes the multiplication. This is my full asset run for a short film release, and with AI assists it's a week of work instead of a quarter:

• The trailer — 60–90 seconds, human-structured, machine-assisted, captioned.
• A teaser — 15–30 seconds, one image, one feeling, one date.
• Key art and poster variants — AI-explored, human-finished, rights-checked.
• Social cutdowns — 10–15 vertical clips mined from the transcript: best lines, best faces, best beats.
• Captions and copy — synopses at three lengths, platform copy, subtitle files — drafted by AI, voiced by you.
• Stills package — graded frame-grabs, upscaled where needed, for press and platforms.

Count it up: one film becomes thirty-plus assets. Five years ago that list was a funded film's marketing deliverables. Today it's achievable by one filmmaker with a laptop and a disciplined week — which means the playing field between your no-budget short and a financed one has never been flatter at the marketing layer. The film still has to be good. But "nobody ever saw it" is no longer a valid excuse.

Next chapter, we put every piece of this course together — one micro-budget short walked end to end through the full AI-assisted workflow, from first breakdown to final cutdown.