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5 prompts · Faceless YouTube video

AI prompts for faceless YouTube videos

You want a full faceless video — script, narration direction, and visuals — without appearing on camera or writing from a blank page.

Faceless channels live or die on the script, because there is no personality on screen to carry a weak one. These prompts force the model to write for the ear instead of the page, to build a visual plan alongside the words, and to keep the retention curve flat through the middle third where faceless videos usually lose people.

Narrated listicle and explainer channelsStock-footage and b-roll driven documentariesCreators batching a week of uploads in one sitting

The prompts

1. Full faceless video script

Claude, ChatGPT, or Gemini — then paste into Fliki or Pictory

The main long-form script, written to be read aloud

Write a [LENGTH]-minute faceless YouTube script about [TOPIC] for an audience of [AUDIENCE].

Rules:
- Open with a 12-second hook that states the payoff, not the topic.
- Write for the ear: short sentences, no subclauses, no words a narrator would stumble on.
- Every 45 seconds, add an open loop that is paid off later in the script.
- Never say "in this video" or "let's dive in".
- Mark each paragraph with a [VISUAL: ...] note describing the b-roll or graphic that should be on screen.
- End with one specific next-step CTA, not "like and subscribe".

In practice: Write a 9-minute faceless YouTube script about how shipping containers broke the global economy for an audience of casual business-history viewers.

2. Retention pass on an existing script

Claude or ChatGPT

Fixing the middle third where faceless videos drop off

Here is a faceless YouTube script: [PASTE SCRIPT]

Act as a retention editor. Find the three weakest 30-second stretches — the places a viewer would swipe away. For each one, tell me exactly why it sags (no new information, no tension, repeated point, or a visual that cannot be shown), then rewrite that stretch. Do not rewrite the rest. Keep the total runtime within 10% of the original.

In practice: Paste a finished 8-minute draft and ask for the three sag points before you ever record narration.

3. Visual shot list from a finished script

Claude or ChatGPT

Turning words into a b-roll plan you can actually source

Take this script and produce a shot list as a table: timestamp, line of narration, visual description, and source type (stock clip, AI-generated clip, screen recording, motion graphic, or still image with a slow push-in).

Constraints:
- No shot may be longer than 6 seconds.
- Prefer specific, searchable stock terms over abstract ones — "container ship at night, aerial" not "global trade".
- Flag any line that has no filmable visual so I can rewrite it.

Script: [PASTE SCRIPT]

In practice: Run this before you buy a single stock clip — it usually kills 20% of the shots as unsourceable.

4. Narration direction for a TTS voice

Any LLM, then ElevenLabs or Murf

Making a synthetic voice sound like a documentary narrator

Rewrite this script for text-to-speech narration by [VOICE STYLE — e.g. calm male documentary narrator].

- Break long sentences at natural breath points.
- Insert ellipses or line breaks where the voice should pause for emphasis.
- Spell out numbers, acronyms, and any word the engine will mispronounce, phonetically in brackets.
- Mark 5-8 words for emphasis with **bold**.
- Do not change the meaning or add new claims.

Script: [PASTE SCRIPT]

In practice: The phonetic-spelling rule alone removes most re-render cycles in ElevenLabs and Murf.

5. Title and thumbnail concepts

Claude or ChatGPT, then Midjourney or Leonardo AI for the image

Packaging the video so the script actually gets watched

Based on this script, give me 10 YouTube titles and 5 thumbnail concepts.

Titles: under 60 characters, no clickbait the script does not deliver, and at least three that lead with a number or a surprising specific.
Thumbnails: describe the single focal image, the 2-4 words of overlay text, and the emotional read. No faces — this is a faceless channel, so the image must carry the tension alone.

Script: [PASTE SCRIPT]

In practice: Ask for the thumbnail concepts before you finalise the title — the strongest pair usually emerges from the image.

Variables to fill in

  • [TOPIC] — be specific: "why airlines overbook" beats "airlines"
  • [AUDIENCE] — who is watching and what they already know
  • [LENGTH] — drives pacing more than any other variable
  • [VOICE STYLE] — the narrator you are simulating

What actually improves output

  • Generate the hook separately from the body. A model asked for both at once almost always writes a generic hook.
  • Give the model one of your own transcripts as a style reference before asking for a new script — it copies rhythm better than it follows adjectives.
  • Ask for the shot list before the narration render. Rewriting an unfilmable line is cheap; re-rendering audio is not.

Mistakes that ruin the result

  • Asking for a '10-minute script' and accepting 900 words — spoken pace is roughly 150 words per minute, so that is six minutes of content stretched thin.
  • Letting the model invent statistics. Ask it to mark every factual claim with [VERIFY] and check them before publishing.
  • Writing visuals you cannot source. Abstract concepts have no stock footage.

Tools that finish the job

Where these prompts go next

A prompt produces the script, the shot list or the markup. These are the tools that turn that output into a finished video.

Fliki

Turn scripts into voiceover videos with stock media.

Starts at $28/mo

View tool profile →

Pictory

Script-to-video editing with AI visuals and captions.

Starts at $23/mo

View tool profile →

ElevenLabs

AI voice generation with realistic delivery.

Starts at $5/mo

View tool profile →

Submagic

Auto-captions with stylized text and emojis.

Starts at $20/mo

View tool profile →

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