The clock is ticking. You've got hours of raw footage, a deadline in 48 hours, and the algorithm demands fresh content daily. The difference between a video that flops and one that hits a million views often comes down to strategy—not just luck. By 2026, AI tools have become the silent co-editor behind every viral short: they analyze trends, write scripts, time cuts, and even predict retention curves. This guide gives you 15 battle-tested prompts—from ideation to packaging—that turn ChatGPT and similar LLMs into your personal post-production assistant. No fluff, just copy-paste workflows that work.
1. Trend Miner: Find What's About to Blow Up
Task: Identify emerging trends before they saturate. Why it works: The prompt forces the AI to analyze pattern shifts across platforms, not just current hashtags.
Act as a social media trend analyst. List 10 emerging short-form video topics for [NICHE] that are gaining traction but haven't peaked yet. For each, explain: (1) the hook angle, (2) why it's rising (algorithmic or cultural shift), (3) 3 example video ideas. Base your analysis on patterns from TikTok Creative Center, YouTube Trends, and Instagram Reels trends as of 2026.
Example: For a fitness niche, the prompt returns topics like '5-minute desk mobility routines' with hooks like 'Your spine will thank you.' It works because it taps into behavioral data patterns the AI has been trained on, making it a strategic forecasting tool.
2. Hook Generator: 10 Openings That Stop the Scroll
Task: Generate scroll-stopping first 3 seconds. Why it works: The 'curiosity gap' is a proven psychological trigger; this prompt structures it explicitly.
Write 10 hook variations for a [TOPIC] short video. Each hook must be under 5 seconds when spoken. Use these patterns: (1) question to self, (2) bold statement, (3) visual action, (4) before/after, (5) mistake reveal. For each, specify the on-screen text and the spoken dialogue. Keep the tone [CASUAL/URGENT/HUMOROUS].
Example: For a cooking video, one hook: 'I've been making scrambled eggs wrong for 20 years.' On-screen: 'THE EGG SECRET'. This prompt works because it translates proven copywriting formulas into video language.
3. Script Architect: Build a 30-Second Story Arc
Task: Write a complete script with a beginning, middle, and end. Why it works: It structures the script around retention, not just information.
Write a 30-second video script for [TOPIC]. Structure: (0-3s) Hook, (3-10s) Context/Problem, (10-20s) Solution/Process, (20-28s) Result/Proof, (28-30s) CTA. Include camera directions, on-screen text, and voiceover. Use a pattern interrupt at 7 seconds to keep attention. The tone is [TONE].
Example: A DIY repair script: hook 'Your phone is lying to you', context 'battery health percentage', solution 'recalibrate in 3 steps', result 'battery lasts 2 hours longer', CTA 'Follow for more fixes.' This works because it maps to the classic story arc that retains viewers.
4. Retention Curve Predictor: Map Where You'll Lose Viewers
Task: Predict drop-off points and fix them. Why it works: It forces a critical analysis of pacing based on known retention patterns.
Here is my video script: [PASTE SCRIPT]. Predict the retention curve for a [LENGTH]-second short. Identify at which seconds viewers will likely drop off, based on common patterns (e.g., slow intro, long explanation, weak CTA). Suggest specific edits—cut, reorder, add visual, change pacing—to improve retention by at least 20%.
Example: For a tutorial, the AI flags a drop at 12s due to a long explanation. Suggestion: add a quick on-screen 'spoiler' of the result. This works because it applies data-driven heuristics to content creation.
5. Visual Storyboarder: Turn Script into Shot List
Task: Convert script into a shot-by-shot storyboard. Why it works: It breaks down the script into visual components that are easy to film or animate.
Convert this script into a storyboard: [PASTE SCRIPT]. For each line, specify: (1) shot type (close-up, wide, POV), (2) camera movement (static, pan, zoom), (3) on-screen text, (4) visual action, (5) duration in seconds. Use a fast-paced editing style with cuts every 2-3 seconds.
Example: For a travel vlog, the AI suggests a drone shot for the opening, then a slow-motion clip for the reveal. This works because it standardizes the filming process, reducing on-set decision fatigue.
6. Soundtrack Selector: Match Music to Mood and Pacing
Task: Recommend music tracks that fit the video's energy. Why it works: It matches music characteristics to narrative beats.
Recommend 5 music tracks for a [TOPIC] short. The video has [ENERGY] energy, with a build-up at [TIMESTAMP] and a drop at [TIMESTAMP]. For each track, specify: genre, BPM range, mood, and where in the video it should be placed. Consider current trending audio on Reels/Shorts.
Example: For a workout video, the AI suggests a lo-fi hip-hop beat for the intro, transitioning to an EDM drop for the exercise sequence. This works because it bridges narrative and music theory.
7. Subtitle Splitter: Perfect Timing for Captions
Task: Generate subtitle timestamps optimized for readability. Why it works: It uses known reading speed metrics and highlights key words.
Here is my script: [PASTE SCRIPT]. Split it into subtitle chunks of 2-4 words each, optimized for a [SPEED] reading pace. For each chunk, specify start and end time (if video is [DURATION]). Bold the keywords that should be highlighted. Ensure the text is centered and doesn't exceed 2 lines.
Example: For a tech review, the AI creates chunks like 'The new chip | is a game changer' with timestamps. This works because it follows the 2-second rule for subtitle retention.
8. Transition Planner: Suggest Seamless Cuts
Task: Plan transitions between scenes. Why it works: It leverages common transition types that are popular in viral videos.
For this storyboard: [PASTE STORYBOARD], suggest transition types for each cut (e.g., whip pan, match cut, jump cut, zoom). For each, specify the exact moment to trigger the transition (e.g., on the beat, on a movement) and any sound effect needed. Keep transitions natural and not overused.
Example: The AI suggests a whip pan for a location change and a match cut for a before/after reveal. This works because it adds visual flair without confusing the viewer.
9. Color Grading Prompt: Set the Mood with Colors
Task: Define a color palette that supports the video's emotion. Why it works: It gives specific LUT or adjustment suggestions.
Suggest a color grading style for a [TOPIC] short. The emotion is [EMOTION]. Specify: (1) color palette (e.g., teal and orange, muted pastels), (2) contrast level, (3) saturation adjustment, (4) any specific LUT or filter. For example, for a nostalgic feel, use warm tones and faded blacks.
Example: For a fitness video, the AI suggests high contrast, saturated colors, and a cool temperature to convey energy. This works because color psychology directly impacts viewer engagement.
10. B-Roll Matcher: Find or Describe Supporting Clips
Task: Generate a list of b-roll clips that complement the main footage. Why it works: It ensures visual variety, which is critical for retention.
For this script: [PASTE SCRIPT], list 10 b-roll clips that would visually support the narration. For each clip, provide: (1) description, (2) suggested source (stock footage, screen recording, personal archive), (3) duration. Prioritize clips that show the result or the process.
Example: For a gardening video, the AI suggests close-ups of soil, hands planting, and a time-lapse of growth. This works because it fills visual gaps and keeps the pacing dynamic.
11. Thumbnail Click Magnet: Design a Thumbnail That Gets Taps
Task: Create a thumbnail concept with text and composition. Why it works: It applies design principles like contrast and emotion.
Design a thumbnail for [TOPIC]. Use a bold, contrasting color scheme (e.g., yellow and red). Include a surprised or curious facial expression if possible. Text should be 3-5 words, large and readable. Specify the exact layout: subject position, background, text placement. Also suggest a background image.
Example: For a money-saving tip, the thumbnail has a shocked face with text 'BIG MISTAKE'. This works because it triggers curiosity and emotion.
12. SEO Title & Description Optimizer: Get Discovered
Task: Generate an SEO-friendly title and description. Why it works: It targets long-tail keywords and includes a call-to-action.
Write an SEO title (under 60 characters) and description (under 150 characters) for a short video about [TOPIC]. Include the primary keyword [KEYWORD] naturally. The title should create curiosity, and the description should include a CTA like 'Follow for more'.
Example: For a recipe video, title: '5-Ingredient Pasta That Beats Takeout' and description: 'Quick, cheap, and delicious. Save this for later! #pasta #recipe'. This works because it combines searchability with engagement.
13. Hashtag Strategist: Pick Tags That Rank
Task: Generate a set of hashtags that balance reach and specificity. Why it works: It uses a mix of broad and niche tags.
Generate 20 hashtags for a [TOPIC] short. Include: (1) 5 broad tags (e.g., #fitness), (2) 10 niche tags (e.g., #homeworkouttips), (3) 5 location or trend-specific tags if relevant. Explain why each group is important for discoverability.
Example: The AI returns a mix that targets both a wide audience and a dedicated community. This works because it maximizes the chance of appearing in multiple feeds.
14. Performance Retrospective: Analyze and Improve
Task: Post-publish analysis to learn from mistakes. Why it works: It turns raw analytics into actionable insights.
Here are my video analytics: [PASTE DATA]. Compare them to industry benchmarks for [NICHE]. Identify 3 strengths and 3 weaknesses. Suggest specific improvements for the next video, such as changing the hook, adjusting length, or altering the CTA.
Example: If the average watch time is 15% lower than benchmark, the AI suggests a faster-paced intro. This works because it closes the feedback loop.
15. Batch Content Planner: Scale Your Production
Task: Plan a month of content in one sitting. Why it works: It structures content around themes and trends.
Plan a 30-day content calendar for [NICHE]. For each day, specify: (1) topic, (2) hook, (3) key message, (4) CTA, (5) any relevant trend or event. Group topics into weekly themes (e.g., 'Mistakes Week', 'Pro Tips Week'). Ensure variety in format (tutorial, listicle, behind-the-scenes).
Example: A 30-day plan for a language learning account includes 'Common Mistakes' on Monday, 'Word of the Day' on Tuesday, etc. This works because it reduces decision fatigue and maintains consistency.
Final Thoughts
AI isn't here to replace your creativity—it's here to handle the grind. These 15 prompts cover the entire lifecycle of a short video, from trend spotting to post-publish analysis. The key is to treat each prompt as a starting point: feed it your data, refine its output, and combine multiple prompts for a full workflow. Start with the Trend Miner and Hook Generator today, and you'll see the difference within a week. The algorithm rewards those who move fast—let AI be your speed pedal.
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