Prompt Library

ChatGPT Prompts for Video Marketing

30 copy-paste prompts

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 15 prompts are free instantly — no signup needed. Hand-curated and tested by the AI Academy team.

By Louis Corneloup · Founder, Techpresso
Last updated ·Hand-curated & tested by the AI Academy team

Video Strategy

5 prompts

Video Content Pillar Plan

1/30

<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>

A complete content-pillar framework that ties every video idea to a stage of the funnel and a measurable goal.

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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

<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>

A realistic 90-day calendar matched to your production capacity, with batching and series logic built in.

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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

<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>

A platform-prioritization decision matrix so you put effort where your audience actually watches.

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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

<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>

Three bingeable series concepts with repeatable episode templates and a recommended winner.

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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

<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>

A gap map of under-served topics and formats your competitors are ignoring, ranked by opportunity.

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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.

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Scriptwriting

5 prompts

Long-Form YouTube Script

6/30

<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>

A production-ready long-form script with hook, segments, B-roll cues, and a retention re-hook.

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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

<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>

A fast-paced vertical script built for one idea, with beat timing and synced captions.

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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

<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>

Two direct-response ad scripts (emotional + logical) following hook-agitate-solution-offer.

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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

<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>

A clear explainer script that uses analogy and a 3-step walkthrough to make a product instantly understandable.

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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

<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>

A persuasive VSL outline with timestamps, an origin story, objection handling, and ready-to-read hook and CTA lines.

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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 prompts

10 Hook Variations

11/30

<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>

Ten labeled hook variations across proven types, with the three best picked for your platform.

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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

<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>

A retention audit of your script that pinpoints drop-off risks and inserts specific fixes.

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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

<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>

A set of planted-and-paid-off open loops that keep viewers watching to the resolution.

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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

<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>

Aligned title, thumbnail, and opening hook combos so the click promise matches the payoff.

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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

<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>

A reusable library of pattern interrupts matched to your format and editing budget.

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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.

Titles, Descriptions & SEO

5 prompts

15 Clickable Title Variations

16/30

<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>

Fifteen keyword-aware title options across angles, labeled by CTR potential.

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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

<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>

A full search-optimized description with hook, summary, chapters, CTA, tags, and a pinned-comment idea.

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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

<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>

A 20-keyword intent map with formats, long-tail wins, and topic clusters to prioritize.

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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

<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>

Clean, search-friendly chapter labels and timestamps generated from your transcript.

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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

<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>

A clean A/B test plan for titles and thumbnails with one hypothesis per variant and a decision rule.

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Pro tip: Ask ChatGPT to make the two variants maximally different — small tweaks rarely move CTR enough to detect with limited views.

Storyboarding

5 prompts

Shot-by-Shot Storyboard

21/30

<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>

A complete shot list turning your script into a filmable storyboard table.

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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

<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>

A second-by-second visual beat sheet that keeps a vertical short moving and readable on mobile.

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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

<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>

A b-roll and asset checklist mapped to talking points and sorted by what you must still capture.

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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

<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>

A fast visual storyboard generated from a one-line idea, mapping the narrative arc before scripting.

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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

<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>

A hand-off-ready motion-graphics brief with scene actions, transitions, and a visual style direction.

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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 prompts

One Video Into Ten Clips

26/30

<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>

Ten platform-ready short clips extracted from one long video, with hooks, captions, and a posting schedule.

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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

<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>

Native, platform-tuned captions for the same video across five channels, with adapted CTAs and hashtags.

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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

<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>

A clean, SEO-structured blog post repurposed from your video transcript, with embeds and an FAQ.

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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

<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>

A ready-to-send newsletter blurb with subject lines, teaser copy, and a clear CTA to drive views.

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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

<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>

A 7-day, channel-by-channel promotion plan with first-day momentum tactics and a success metric.

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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.

Frequently Asked Questions

Copy a prompt, then replace the bracketed placeholders like [BRAND], [TOPIC], and [PLATFORM] with your real details before sending. The more specific your context, the better the output — paste in real transcripts, titles, or retention data when a prompt asks for them. Treat the first response as a draft and refine it with follow-ups.
[BRAND] is your company or channel name, [TOPIC] is the subject of the video, and [PLATFORM] is where it will live (YouTube, TikTok, Instagram Reels, LinkedIn, or an ad network). Filling these in tailors the structure, length, and tone to your exact use case instead of returning generic advice.
Yes. The scriptwriting prompts produce production-ready scripts with a hook, labeled segments, B-roll and on-screen-text cues, and a CTA. For best results, tell ChatGPT the exact length and audience, then ask it to verify the word count matches your runtime at a normal speaking pace of around 150 words per minute.
It helps with the parts you control: keyword-aware titles, SEO descriptions, accurate chapters, and intent mapping. ChatGPT cannot see live search volume, so cross-check its keyword picks against YouTube autocomplete or a keyword tool before committing. Ranking still depends on watch time and click-through, which the hook and retention prompts are built to improve.
Use the Repurposing & Distribution prompts. Paste your video transcript with timestamps and ChatGPT will extract clip-worthy moments, write native captions for each platform, draft a blog post, and build a promotion calendar — turning a single recording into a week or more of content across every channel.

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