ChatGPT Prompts for Video Marketing
Thirty structured prompts to plan video strategy, write scripts for YouTube, shorts, ads and explainers, craft scroll-stopping hooks, optimize titles and descriptions for search, build storyboards, and repurpose every video into a month of content.
In short: This page contains 30 copy-paste ready prompts, organized into 6 categories with a description and pro tip for each. The first 5 prompts are free instantly, no signup needed. Drafted with AI writing assistance and checked against our editorial policy.
Video Strategy
5 promptsVideo Content Pillar Plan
1/30✨ What it does
ChatGPT proposes 4-6 content pillars for [BRAND] that map [PRODUCT] videos for [TARGET_AUDIENCE] to the buyer journey and a measurable goal on [PLATFORM(S)]. You pick the pillars you will actually publish against, then brief the next ideas to those stages.
<context> I run video marketing for [BRAND], a [INDUSTRY] company selling [PRODUCT] to [TARGET_AUDIENCE]. Our goals this quarter are [GOALS, e.g. awareness, demo signups]. We currently publish on [PLATFORM(S)]. </context> <task> 1. Propose 4-6 content pillars that map to the buyer journey (awareness, consideration, decision, retention). 2. For each pillar, define the audience intent, the emotional angle, and 3 example video concepts with working titles. 3. Recommend a format (long-form, short, ad, explainer) and primary platform for each concept. 4. Map each pillar to a specific business goal and the metric that proves it worked. 5. Output as a table: Pillar | Intent | Concept | Format | Platform | Goal | KPI. </task>
Pro tip: Paste your last 10 video titles into ChatGPT first and ask it to reverse-engineer which pillars you already cover before suggesting new ones.
90-Day Video Calendar
2/30✨ What it does
ChatGPT builds a 12-week video calendar for [BRAND] that fits [N] videos per week with a team of [TEAM_SIZE], balances [PILLARS], and plans around [LAUNCHES/EVENTS/SEASONAL]. You lock the weeks you can actually shoot, then batch the series on that calendar.
<context> Brand: [BRAND]. We can produce [N] videos per week with a team of [TEAM_SIZE]. Our pillars are [PILLARS]. Key dates this quarter: [LAUNCHES/EVENTS/SEASONAL]. </context> <task> 1. Build a 12-week publishing calendar balancing pillars so no single theme dominates. 2. For each slot specify: working title, format, platform, hook angle, and CTA. 3. Cluster related videos into mini-series or sequels to drive binge-watching. 4. Align high-effort flagship videos with launch/event dates and fill gaps with low-effort repurposed clips. 5. Flag which videos can be batch-filmed in one session to save production time. </task>
Pro tip: Ask ChatGPT to mark each row as High / Medium / Low production effort so you can protect filming days for the heavy ones.
Audience & Platform Fit Audit
3/30✨ What it does
ChatGPT scores whether [TARGET_AUDIENCE] actually watches on [PLATFORM] for [BRAND], using [METRICS or "starting fresh"], and ranks where extra effort is worth it. You choose the platforms to double down on, then stop spending time on the rest.
<context> Brand: [BRAND]. Target audience: [TARGET_AUDIENCE]. We are deciding whether to invest more in [PLATFORM]. Current performance: [METRICS or "starting fresh"]. </context> <task> 1. Profile where [TARGET_AUDIENCE] actually watches video and in what mindset on each platform. 2. Assess fit between our [PRODUCT] and [PLATFORM]: format norms, watch behavior, discovery mechanics. 3. Recommend the top 2 platforms to prioritize and 1 to deprioritize, with reasoning. 4. For each recommended platform, define the ideal video length, posting cadence, and success metric. 5. List 3 risks of over-investing in the wrong platform. </task>
Pro tip: Give ChatGPT a one-line description of your funniest competitor and ask which platform they dominate and why: it sharpens the fit analysis.
Video Series Concept Builder
4/30✨ What it does
ChatGPT writes three bingeable series concepts about [TOPIC] for [TARGET_AUDIENCE] on [PLATFORM], each with a name, premise, and repeatable episode template, plus a recommended winner. You pick the series [BRAND] can sustain, then film the first episode from that template.
<context> Brand: [BRAND]. We want a recurring video series about [TOPIC] for [TARGET_AUDIENCE] on [PLATFORM]. </context> <task> 1. Generate 3 distinct series concepts, each with a memorable name, premise, and format. 2. For each, define the repeatable episode structure (cold open, segment beats, recurring CTA). 3. Outline the first 6 episodes with titles and one-line angles. 4. Explain why each concept would keep viewers subscribing and returning. 5. Recommend the one concept with the best effort-to-retention ratio and justify it. </task>
Pro tip: Ask ChatGPT to write the series name in 5 styles (literal, playful, intriguing, numbered, contrarian) so you can A/B test the framing.
Competitor Video Gap Analysis
5/30✨ What it does
ChatGPT maps video gaps [COMPETITOR_1], [COMPETITOR_2], and [COMPETITOR_3] leave open for [BRAND] in [INDUSTRY], ranked for [TARGET_AUDIENCE]. You choose the highest-opportunity gap, then put that [TOPIC] on the next calendar.
<context> Brand: [BRAND] in [INDUSTRY]. Main video competitors: [COMPETITOR_1], [COMPETITOR_2], [COMPETITOR_3]. Our audience: [TARGET_AUDIENCE]. </context> <task> 1. Infer each competitor's likely video strategy from their formats, topics, and cadence. 2. Identify 5 content gaps: topics or angles on [TOPIC] that they under-serve. 3. For each gap, propose a video concept that we could own and a reason we are credible. 4. Highlight any format (e.g. shorts, explainers) where we could differentiate. 5. Rank the 5 gaps by opportunity size vs. production difficulty. </task>
Pro tip: Feed ChatGPT a list of competitor video titles you copied from their channel: it spots repetition and gaps far better with real data than from memory.
Scriptwriting
5 promptsLong-Form YouTube Script
6/30✨ What it does
ChatGPT writes a full [LENGTH] minute script on [TOPIC] for [TARGET_AUDIENCE], with a 0-15 second hook, segments, B-roll cues, and a close aimed at [GOAL/CTA]. You edit the lines to sound like [BRAND], then shoot from that script.
<context> Brand: [BRAND]. Video topic: [TOPIC]. Target length: [LENGTH] minutes. Audience: [TARGET_AUDIENCE]. Desired outcome: [GOAL/CTA]. </context> <task> 1. Write a full script with a 0-15 second hook, a promise of payoff, and a reason to stay. 2. Structure the body into 3-5 clearly labeled segments with smooth transitions. 3. Add [B-ROLL] and [ON-SCREEN TEXT] cues in brackets where they reinforce a point. 4. Insert one mid-roll re-hook to retain viewers past the halfway drop-off. 5. End with a specific CTA tied to [GOAL] and a teaser to the next video. 6. Write conversational, spoken-word language: short sentences, no jargon. </task>
Pro tip: After the draft, tell ChatGPT to read it back at 150 words per minute and confirm the total runtime matches your target length.
Short / Reel / TikTok Script
7/30✨ What it does
ChatGPT writes a [SECONDS] second vertical script on [TOPIC] for [PLATFORM], with a 0-2 second hook, one idea, beat timing, and captions for [TARGET_AUDIENCE]. You trim anything that is not the payoff, then film it for [BRAND].
<context> Brand: [BRAND]. Platform: [PLATFORM]. Topic: [TOPIC]. Max length: [SECONDS] seconds. Audience: [TARGET_AUDIENCE]. </context> <task> 1. Open with a 0-2 second pattern-interrupt hook that creates an open loop. 2. Deliver one single idea: cut everything that is not the payoff. 3. Write the script as voiceover lines with matching on-screen captions for each beat. 4. Pace beats every 2-3 seconds; mark where the visual changes. 5. End with a loop-back line or a fast CTA that fits the platform's norms. 6. Keep total spoken words under [SECONDS x 2.5]. </task>
Pro tip: Ask ChatGPT for 3 alternate first lines only: the hook is 90% of short-form performance and the rest can stay fixed.
Video Ad Script (Direct Response)
8/30✨ What it does
ChatGPT writes two direct-response ad scripts for [PRODUCT] on [PLATFORM], one emotional and one logical, that hook [PAIN_POINT] and land [OFFER] for [TARGET_AUDIENCE]. You pick the version that fits [BRAND], then cut the [SECONDS]s ad from it.
<context> Brand: [BRAND]. Product: [PRODUCT]. Platform: [PLATFORM]. Ad length: [SECONDS]s. Audience: [TARGET_AUDIENCE]. Primary pain: [PAIN_POINT]. Offer: [OFFER]. </context> <task> 1. Open with a problem-aware hook calling out [PAIN_POINT] in the first 3 seconds. 2. Agitate the cost of the problem, then introduce [PRODUCT] as the mechanism. 3. Show one concrete proof point (result, demo, or social proof). 4. State the [OFFER] and a single, urgent CTA. 5. Write 2 variations: one emotional, one logical. 6. Add [VISUAL] direction for each line and keep claims defensible. </task>
Pro tip: Have ChatGPT label each line with the persuasion principle it uses (urgency, proof, loss aversion) so you can check the ad is not leaning on just one.
Explainer / How-It-Works Script
9/30✨ What it does
ChatGPT writes an explainer script for [PRODUCT/FEATURE] that names the problem [PRODUCT] solves, uses an analogy, and walks [TARGET_AUDIENCE] through three steps so they drop [MISCONCEPTION]. You record it at [LENGTH] for [BRAND], then check the walkthrough on a real viewer.
<context> Brand: [BRAND]. We need an explainer for [PRODUCT/FEATURE]. Audience: [TARGET_AUDIENCE], who currently believe [MISCONCEPTION]. Length: [LENGTH]. </context> <task> 1. Start by naming the problem [PRODUCT] solves in plain language, no brand-speak. 2. Use a simple analogy or metaphor to make the core concept click. 3. Walk through how it works in 3 numbered steps a beginner can follow. 4. Address the [MISCONCEPTION] head-on with a clear correction. 5. Close with the single before/after transformation and a soft CTA. 6. Mark where a screen-recording or animation should appear. </task>
Pro tip: Ask ChatGPT to explain the product as if to a smart 12-year-old first: then build the real script from that simplified version.
Talking-Head VSL Outline
10/30✨ What it does
ChatGPT outlines a talking-head video sales letter for [PRODUCT] aimed at [TARGET_AUDIENCE], with timestamps, an origin story, objection handling, and ready-to-read hook and CTA lines for [GOAL]. You mark the [LENGTH] you can hold, then read those lines on camera for [BRAND].
<context> Brand: [BRAND]. This is a talking-head video sales letter for [PRODUCT] aimed at [TARGET_AUDIENCE]. Goal: [GOAL]. Target length: [LENGTH]. </context> <task> 1. Open with a bold claim or callout that earns the next 30 seconds. 2. Establish credibility and the stakes of not solving [PAIN_POINT]. 3. Tell a short origin or discovery story that frames [PRODUCT]. 4. Present the offer with stacked value, then handle the top 3 objections. 5. Build to a clear, repeated CTA with a reason to act now. 6. Output as a beat-by-beat outline with suggested timestamps and teleprompter-ready lines for the hook and CTA. </task>
Pro tip: Ask ChatGPT to write only the hook and CTA word-for-word and leave the middle as bullets: talking-head middles sound more natural improvised from beats.
Hooks & Retention
5 prompts10 Hook Variations
11/30✨ What it does
ChatGPT writes 10 opening hooks under 12 words for a [TOPIC] video on [PLATFORM], covering different hook types, and picks the three that best promise [PAYOFF] to [TARGET_AUDIENCE]. You test those three on [BRAND] videos, then keep the one that holds.
<context> Brand: [BRAND]. Video topic: [TOPIC]. Platform: [PLATFORM]. Audience: [TARGET_AUDIENCE]. The payoff of the video is: [PAYOFF]. </context> <task> 1. Write 10 distinct opening hooks for the first 3 seconds, each under 12 words. 2. Cover varied hook types: question, bold claim, contrarian, curiosity gap, stat, callout, before/after, mistake, story open, demonstration. 3. Label each with its type and the emotion it triggers. 4. Ensure each hook honestly previews [PAYOFF] (no clickbait that the video cannot deliver). 5. Recommend the 3 strongest for [PLATFORM] and explain why. </task>
Pro tip: After picking a hook, ask ChatGPT to write the matching first on-screen caption: the spoken hook and the text hook should reinforce, not repeat, each other.
Retention Curve Repair
12/30✨ What it does
ChatGPT audits the [LENGTH] script on [TOPIC] that you put in [PASTE SCRIPT], names the three likely drop-off points, and inserts a specific fix for each. You apply those fixes for [TARGET_AUDIENCE], then reshoot the weak beats for [BRAND].
<context> Brand: [BRAND]. Here is the script (or beat list) for a [LENGTH] video on [TOPIC]: [PASTE SCRIPT]. Audience: [TARGET_AUDIENCE]. </context> <task> 1. Predict the 3 most likely drop-off points in this script and why viewers leave there. 2. For each, suggest a specific fix: a re-hook, open loop, pattern interrupt, or pace change. 3. Identify any slow intro or throat-clearing that should be cut entirely. 4. Recommend where to add an open loop early that only resolves near the end. 5. Return an edited beat list with the retention fixes inserted and labeled. </task>
Pro tip: If you have real YouTube retention-graph data, describe the dips by timestamp: ChatGPT will map fixes to the exact moments instead of guessing.
Open Loops & Curiosity Gaps
13/30✨ What it does
ChatGPT plants three open loops in the first 30 seconds of a [TOPIC] video covering [POINT_1], [POINT_2], and [POINT_3], and marks where each pays off for [TARGET_AUDIENCE]. You drop those loops into the [BRAND] script, then check each payoff still lands.
<context> Brand: [BRAND]. Video topic: [TOPIC]. Key points covered: [POINT_1], [POINT_2], [POINT_3]. Audience: [TARGET_AUDIENCE]. </context> <task> 1. Write 3 open loops that can be planted in the first 30 seconds and paid off later. 2. For each loop, specify where it opens and where it resolves in the video. 3. Suggest transitional lines that tease the next segment without spoiling it. 4. Ensure loops feel rewarding, not manipulative, when they resolve. 5. Output as: Loop | Open line | Payoff line | Placement. </task>
Pro tip: Ask ChatGPT to make at least one loop a "mistake I made": admitting an error early is one of the most reliable curiosity hooks.
Thumbnail-Hook Alignment
14/30✨ What it does
ChatGPT proposes three title, thumbnail, and opening-hook combos for [TITLE] on [TOPIC] so the click promise on [PLATFORM] matches the payoff for [TARGET_AUDIENCE]. You pick one combo for [BRAND], then design the thumbnail to match that hook.
<context> Brand: [BRAND]. Video topic: [TOPIC]. Platform: [PLATFORM]. Working title: [TITLE]. Audience: [TARGET_AUDIENCE]. </context> <task> 1. Propose 3 thumbnail concepts (subject, expression, text overlay, color contrast) that create curiosity. 2. For each thumbnail, write the spoken hook that pays off the promise it makes. 3. Ensure the title, thumbnail, and hook tell one coherent story with no bait-and-switch. 4. Suggest 3 short thumbnail text overlays under 4 words each. 5. Recommend the strongest title + thumbnail + hook combo and explain the click logic. </task>
Pro tip: Describe your thumbnail in words and ask ChatGPT if a viewer can guess the video in 2 seconds: if not, the concept is too clever.
Pattern Interrupt Library
15/30✨ What it does
ChatGPT lists 10 pattern interrupts suited to [FORMAT] for a [TOPIC] video, matched to what [TARGET_AUDIENCE] will notice without a huge edit. You choose the ones [BRAND] can actually cut, then drop them at the dull spots.
<context> Brand: [BRAND]. Format: [FORMAT, e.g. talking head, screen share]. Topic: [TOPIC]. Audience: [TARGET_AUDIENCE]. </context> <task> 1. List 10 pattern interrupts suited to our [FORMAT] (cuts, zooms, b-roll, sound effects, props, location changes, text pops). 2. For each, explain the moment it works best and the retention problem it solves. 3. Recommend an interrupt cadence (how many seconds between changes) for [PLATFORM]. 4. Flag which interrupts are cheap to execute with a small team. 5. Output as: Interrupt | Best moment | Effort | Why it works. </task>
Pro tip: Save this output once and reuse it across videos: ask ChatGPT to format it as a checklist you can paste into your editing brief.
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Titles, Descriptions & SEO
5 prompts15 Clickable Title Variations
16/30✨ What it does
ChatGPT writes 15 titles under 60 characters for a [TOPIC] video on [PLATFORM] that include [KEYWORD] naturally, labeled by click potential for [TARGET_AUDIENCE]. You pick two or three for [BRAND], then test them on the live listing.
<context> Brand: [BRAND]. Video topic: [TOPIC]. Platform: [PLATFORM]. Target keyword: [KEYWORD]. Audience: [TARGET_AUDIENCE]. </context> <task> 1. Write 15 title variations under 60 characters that include [KEYWORD] naturally. 2. Cover varied angles: how-to, listicle, mistake, result/number, curiosity, contrarian, beginner. 3. Front-load the keyword or the most compelling word where it reads naturally. 4. Label each title with its angle and a predicted CTR strength (high/med/low). 5. Recommend the top 3 and warn against any that over-promise. </task>
Pro tip: Ask ChatGPT to keep the most important words within the first 40 characters so titles do not get truncated in search and suggested feeds.
SEO-Optimized Video Description
17/30✨ What it does
ChatGPT writes a search-ready description for [TITLE] on [TOPIC], with a [KEYWORD] hook, summary, chapters, CTA to [LINK], and a pinned-comment idea using [KEYWORDS]. You paste it under the [BRAND] video, then pin that comment.
<context> Brand: [BRAND]. Video title: [TITLE]. Topic: [TOPIC]. Target keyword: [KEYWORD]. Related keywords: [KEYWORDS]. CTA / link: [LINK]. </context> <task> 1. Write a 2-3 sentence opening that hooks and naturally includes [KEYWORD] in the first line. 2. Add a concise summary paragraph using related keywords without stuffing. 3. Include a timestamped chapter list based on these segments: [SEGMENTS]. 4. Add a clear CTA with [LINK] and 2-3 relevant internal video links. 5. Suggest 8-12 tags and a one-line pinned-comment prompt to drive engagement. </task>
Pro tip: Give ChatGPT your real timestamps from the edit: accurate chapters boost watch time and unlock the key-moments feature in search.
Keyword & Search-Intent Map
18/30✨ What it does
ChatGPT maps 20 keyword ideas around [TOPIC] for [TARGET_AUDIENCE] on [PLATFORM], grouped by learn, compare, buy, and fix intent, with formats and clusters. You pick the cluster [BRAND] can own in [INDUSTRY], then plan the next videos there.
<context> Brand: [BRAND] in [INDUSTRY]. We make videos about [TOPIC] for [TARGET_AUDIENCE] on [PLATFORM]. </context> <task> 1. Generate 20 video keyword ideas around [TOPIC], grouped by search intent (learn, compare, buy, fix). 2. For each group, suggest the best video format and angle to satisfy that intent. 3. Flag 5 low-competition long-tail keywords a smaller channel could realistically rank for. 4. Suggest 3 "search-and-suggested" topic clusters where one video can lift the others. 5. Output as: Keyword | Intent | Format | Competition (est.) | Priority. </task>
Pro tip: ChatGPT cannot see live volume: cross-check its top picks in YouTube's search autocomplete before committing a video to a keyword.
Chapters & Timestamps Generator
19/30✨ What it does
ChatGPT turns the transcript in [PASTE] into 5-9 search-friendly chapters with benefit-driven labels and timestamps for [TITLE]. You paste those chapters under the [BRAND] video, then click each one to confirm the cut is right.
<context> Brand: [BRAND]. Video title: [TITLE]. Here is the transcript or segment list with rough timings: [PASTE]. </context> <task> 1. Group the content into 5-9 logical chapters that match how viewers search. 2. Write a concise, benefit-driven label for each chapter (under 5 words). 3. Format timestamps correctly starting at 00:00 for the intro. 4. Make the first chapter a real intro/hook label, never just "Introduction". 5. Suggest which chapter is most likely to win a "key moment" snippet in search. </task>
Pro tip: Paste your auto-generated transcript with timecodes: ChatGPT turns messy ASR text into clean chapter labels in one pass.
A/B Title & Thumbnail Test Plan
20/30✨ What it does
ChatGPT designs an A/B test of two title-thumbnail variants for a [TOPIC] video on [PLATFORM], each with one hypothesis and a decision rule for [TARGET_AUDIENCE]. You run the test for [BRAND], then keep the winner once the rule fires.
<context> Brand: [BRAND]. Video topic: [TOPIC]. Platform: [PLATFORM]. We want to test title and thumbnail variants. Audience: [TARGET_AUDIENCE]. </context> <task> 1. Propose 2 distinct title-thumbnail variants built on different psychological angles. 2. State the single hypothesis each variant tests (e.g. curiosity vs. clarity). 3. Define the success metric (CTR, AVD) and the minimum data before deciding. 4. Warn against testing more than one variable at once. 5. Recommend what to do with the losing concept (iterate or retire). </task>
Pro tip: Ask ChatGPT to make the two variants maximally different: small tweaks rarely move CTR enough to detect with limited views.
Storyboarding
5 promptsShot-by-Shot Storyboard
21/30✨ What it does
ChatGPT turns [PASTE SCRIPT] into a numbered shot list for a [FORMAT] video on [TOPIC], with scene, shot type, and on-screen action that fits [TEAM/GEAR] on [PLATFORM]. You shoot in that order for [BRAND], then tick shots as you capture them.
<context> Brand: [BRAND]. Here is the script for a [FORMAT] video on [TOPIC]: [PASTE SCRIPT]. Platform: [PLATFORM]. Production resources: [TEAM/GEAR]. </context> <task> 1. Break the script into numbered shots, each with: scene, shot type (wide/medium/close/insert), and on-screen action. 2. For each shot add the spoken line, the [B-ROLL] or [GRAPHIC], and the approximate duration. 3. Note camera movement and framing for vertical vs. horizontal as relevant. 4. Flag shots needing extra setup so they can be batched. 5. Output as a storyboard table: Shot # | Scene | Shot type | Action | VO line | Visual | Duration. </task>
Pro tip: Ask ChatGPT to add a "shot list grouped by location" view at the end so you can film everything in one spot before moving.
Visual Beat Sheet for Shorts
22/30✨ What it does
ChatGPT maps every 1-2 seconds of a [SECONDS]s vertical short on [TOPIC] for [PLATFORM] to a visual, caption, and sound beat from [PASTE]. You follow that beat sheet while editing for [BRAND], then check it on a phone.
<context> Brand: [BRAND]. Vertical short on [TOPIC] for [PLATFORM], max [SECONDS]s. Script/voiceover: [PASTE]. </context> <task> 1. Map every 1-2 seconds to a distinct visual beat so the video never sits still. 2. For each beat specify: visual, on-screen caption, and any sound/zoom cue. 3. Ensure a visual change lands exactly on the hook and on the CTA. 4. Keep captions to 3-5 words per beat for readability on mobile. 5. Output as: Time | Visual | Caption | Cue. </task>
Pro tip: Tell ChatGPT the caption font is large: it will tighten wording so text never overflows the safe zone on a phone screen.
B-Roll & Asset Shot List
23/30✨ What it does
ChatGPT lists the b-roll, screen recordings, graphics, and stock shots needed for each of [POINTS] on [TOPIC], and marks what is still missing versus [WHAT YOU HAVE]. You capture the missing assets for [BRAND], then edit them against the [FORMAT] talking points on [PLATFORM].
<context> Brand: [BRAND]. Video on [TOPIC], [FORMAT], for [PLATFORM]. Main talking points: [POINTS]. Available footage/assets: [WHAT YOU HAVE]. </context> <task> 1. List the b-roll, screen recordings, graphics, and stock shots needed to cover each talking point. 2. Mark which assets we already have vs. need to capture or source. 3. Suggest 5 cutaway ideas that add visual interest during talking-head sections. 4. Recommend on-screen text moments where a graphic beats a verbal explanation. 5. Output as a checklist grouped by: Have / Capture / Source. </task>
Pro tip: Add your stock-library access (e.g. "we have Pexels") and ChatGPT will suggest realistic search terms for each shot you need to source.
Storyboard from a Rough Idea
24/30✨ What it does
ChatGPT expands [ONE-LINE IDEA] into a 6-10 frame storyboard for [PLATFORM] aimed at [TARGET_AUDIENCE], with visual, message, and [TONE] before any script exists. You lock the arc for [BRAND], then write the script from those frames.
<context> Brand: [BRAND]. I only have a rough idea: [ONE-LINE IDEA] for [PLATFORM], aimed at [TARGET_AUDIENCE]. Desired feeling: [TONE]. </context> <task> 1. Expand the idea into a 6-10 frame storyboard before any script exists. 2. For each frame describe the visual, the message, and the emotional beat. 3. Show the narrative arc: setup, tension, payoff, CTA. 4. Suggest the single most important "hero shot" the whole video builds toward. 5. Note where the hook and CTA frames sit. </task>
Pro tip: Use this before writing a script: locking the visual arc first prevents writing lines you can never realistically film.
Animation / Motion-Graphics Brief
25/30✨ What it does
ChatGPT writes a scene-by-scene motion brief about [TOPIC] for [PLATFORM], covering what appears, what animates, transitions, and a look that matches [STYLE/COLORS] at [LENGTH]. You hand the brief to the motion designer for [BRAND], then review the first cut against it.
<context> Brand: [BRAND]. We need an animated explainer/segment about [TOPIC] for [PLATFORM]. Brand style: [STYLE/COLORS]. Length: [LENGTH]. </context> <task> 1. Write a scene-by-scene motion brief: what appears, what animates, and the message of each scene. 2. Specify transitions between scenes and the pacing feel (snappy, calm). 3. Suggest where text-on-screen, icons, or data viz should animate in. 4. Recommend a color and typography direction consistent with [STYLE]. 5. Output a brief an animator could hand off and execute without follow-up questions. </task>
Pro tip: Ask ChatGPT to add an "animator FAQ" anticipating 3 questions they'll have: it forces the brief to be specific enough to execute.
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Repurposing & Distribution
5 promptsOne Video Into Ten Clips
26/30✨ What it does
ChatGPT pulls 10 clip-worthy moments from the [TITLE] transcript in [PASTE], with timestamps, hooks, captions, and a posting plan across [PLATFORMS]. You cut those clips from the [LENGTH] video on [TOPIC], then schedule them for [BRAND].
<context> Brand: [BRAND]. Source video: [TITLE] on [TOPIC], [LENGTH] long. Transcript: [PASTE]. Target platforms: [PLATFORMS]. </context> <task> 1. Identify the 10 most clip-worthy moments (standalone insights, strong lines, demos). 2. For each clip give: start/end timestamp, a vertical-ready hook, a caption, and the best platform. 3. Tailor each clip's framing to its platform's norms and length. 4. Suggest the posting order and cadence across 2 weeks. 5. Output as: Clip | Timestamps | Hook | Caption | Platform | Post date. </task>
Pro tip: Paste a transcript with timestamps so ChatGPT returns exact in/out points your editor can cut to without rewatching the whole video.
Cross-Platform Caption Pack
27/30✨ What it does
ChatGPT writes native captions for the same [TOPIC] video on YouTube, Instagram, TikTok, LinkedIn, and X, each with tone, length, hashtags, and a CTA toward [CTA/LINK]. You paste the matching caption on each of [PLATFORMS], then tweak [MESSAGE] if a channel feels off for [BRAND].
<context> Brand: [BRAND]. Video topic: [TOPIC]. Core message: [MESSAGE]. CTA: [CTA/LINK]. Platforms: [PLATFORMS]. </context> <task> 1. Write a native caption for each of: YouTube, Instagram, TikTok, LinkedIn, X. 2. Match each platform's tone, length, hashtag norms, and CTA placement. 3. Open every caption with a scroll-stopping first line that works before the "more" cutoff. 4. Adapt the CTA to what each platform allows (link in bio, link sticker, comment). 5. Suggest 5-10 relevant hashtags per platform where they help discovery. </task>
Pro tip: Tell ChatGPT your brand voice in 3 adjectives: it keeps captions consistent across platforms instead of drifting into generic social-speak.
Video-to-Blog Repurpose
28/30✨ What it does
ChatGPT turns the [TITLE] transcript in [PASTE] into an SEO blog post on [TOPIC], structured with H1 and H2s and optimized for [KEYWORD]. You add the video embed for [BRAND], then publish once the FAQ still sounds like you.
<context> Brand: [BRAND]. Video: [TITLE] on [TOPIC]. Transcript: [PASTE]. Target SEO keyword: [KEYWORD]. </context> <task> 1. Turn the transcript into a structured blog post with an H1, H2s, and scannable sections. 2. Optimize naturally for [KEYWORD] in the title, intro, and one H2. 3. Embed suggested placements for the video and key clips. 4. Add a TL;DR summary, a key-takeaways list, and an FAQ from likely viewer questions. 5. Keep the brand's spoken voice but tighten rambling into clean prose. </task>
Pro tip: Ask ChatGPT to keep verbatim any quotable lines from the transcript: original phrasing reads more authentic than fully rewritten prose.
Email & Newsletter Wrap
29/30✨ What it does
ChatGPT writes a newsletter section for [TITLE] on [TOPIC] that frames one benefit for [TARGET_AUDIENCE], plus three subject lines and a CTA to [LINK] in [TONE]. You pick a subject line, then send the section in the [BRAND] newsletter.
<context> Brand: [BRAND]. New video: [TITLE] on [TOPIC] for [TARGET_AUDIENCE]. Link: [LINK]. Newsletter tone: [TONE]. </context> <task> 1. Write a newsletter section that frames the video around one reader benefit. 2. Craft 3 subject-line options that tease the video's payoff. 3. Write a 2-3 sentence intro that earns the click without giving everything away. 4. Add a single clear CTA button label and a one-line PS that reinforces it. 5. Suggest one personalization angle based on [TARGET_AUDIENCE]. </task>
Pro tip: Ask for the subject lines under 45 characters so they don't truncate on mobile inboxes where most opens happen.
Distribution & Promotion Plan
30/30✨ What it does
ChatGPT builds a 7-day promotion plan for [TITLE] on [TOPIC] across [CHANNELS], with first-day tactics, the asset to post each day, and a metric for [GOAL], including paid only if [BUDGET or "none"] allows. You run the week for [BRAND], then stop channels that miss the metric.
<context> Brand: [BRAND]. Video: [TITLE] on [TOPIC]. Goal: [GOAL]. Owned channels: [CHANNELS]. Budget for promotion: [BUDGET or "none"]. </context> <task> 1. Build a 7-day promotion plan across owned, earned, and (if budget) paid channels. 2. Specify the exact asset to post on each channel each day (clip, caption, story, email). 3. Recommend the best first-24-hour actions to signal early momentum to the algorithm. 4. Suggest 3 communities or partners to share with and the angle for each. 5. Define the one metric that tells us the promotion worked. </task>
Pro tip: Ask ChatGPT to mark which tasks take under 5 minutes: knock those out in the first hour to maximize early-watch-time signals.
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