Creating viral AI videos no longer depends on luck or random creativity. In 2025, the most successful AI-driven campaigns from futuristic product ads to cinematic brand stories rely on JSON prompts. JSON (JavaScript Object Notation) allows you to give AI tools like Google VEO 3, Runway, or Pika Labs structured, story-based instructions that produce repeatable, premium results.

This guide explains exactly how to write JSON prompts for viral AI videos, complete with examples, formatting rules, and real-world use cases.

Understanding JSON Prompts for AI Video Creation

A JSON prompt is a formatted script that breaks down what the AI should generate scene by scene, with lighting, camera movement, and mood defined clearly. Instead of vague text like “Make a cool futuristic ad,” you feed the AI a structured JSON block that tells it what to show, how to move, and what to avoid.

This method helps you generate cinematic, scroll-stopping videos that stay visually consistent across different clips or campaigns.

Step 1: Define the Objective

Before writing any JSON prompt, determine what you want the AI to achieve. This could be:

• A high-end cinematic product reveal
• A short social media ad optimized for vertical format
• A futuristic educational clip or explainer

For example:

{
  "objective": "Create a futuristic cinematic ad for a new wearable health device.",
  "tone": "Premium, innovative, emotionally engaging."
}

This line tells the AI that your focus is quality, emotion, and futuristic energy, which helps the model choose better visual patterns.

Step 2: Add Product or Topic Details

Your JSON prompt must tell the AI what the product or topic looks like, feels like, and why it matters. Here’s an example for a Smart AR Glasses Ad:

{
  "product": {
    "name": "NeuroLens AR Glasses",
    "core_feature": "Projects real-time digital information into your visual field.",
    "aesthetic": "Sleek, metallic, near-future minimalism with subtle blue highlights."
  }
}

Each key adds context without human over-explanation. The AI interprets this metadata to produce consistent designs, textures, and lighting.

Example:

{
  "scenes": [
    {
      "step": 1,
      "description": "A macro shot of the device surface reflecting ambient light as the camera glides slowly across.",
      "camera": "Macro, shallow depth of field, slow dolly movement.",
      "lighting": "Soft LED rim light emphasizing texture and form."
    },
    {
      "step": 2,
      "description": "Close-up shot of a user wearing the glasses; digital data overlays appear seamlessly.",
      "visual_effect": "Floating holographic UI glowing in calm blue tones."
    },
    {
      "step": 3,
      "description": "Wide cinematic frame showing city lights mirrored on the lenses as the tagline fades in.",
      "mood": "Futuristic, empowering, aspirational."
    }
  ]
}

This structured storyboard tells AI how to animate, transition, and light each shot—just like a real film director would.

Step 4: Add Style and Aesthetic Control

Style blocks determine the emotional language of your visuals. They refine color tones, pacing, and realism levels.

Example:

{
  "style": {
    "mood": "Mysterious yet luxurious",
    "color_palette": "Deep blacks, electric blues, soft neon gradients",
    "resolution": "4K, 24fps, cinematic realism"
  }
}

This ensures your AI video looks professional and uniform critical for brand identity.

5. How to Use JSON Prompts After ChatGPT Generates Them

Once you’ve crafted your JSON prompt using ChatGPT, the next step is to feed it into the right AI generation platform depending on your goal whether you want cinematic video, hyperrealistic image, or 3D visual output.

Here’s a step-by-step breakdown for the most powerful tools available in 2025:

1. Google VEO 3 (AI Video Generator)

Use Case: Cinematic, realistic video generation for ads and storytelling.

How to Use:

1. Go to veo.google.com or use the VEO Studio interface (available via Google Cloud).
2. Select “Structured Prompt Input” or “Advanced JSON Mode”.
3. Copy the entire JSON prompt ChatGPT generated.
4. Paste it directly into the prompt editor ensure that curly braces {} and formatting remain intact.
5. Click “Render Preview” → the system will auto-parse your JSON into scene instructions.
6. Adjust motion speed, camera path, and lighting inside the Visual Control Panel if needed.

Pro Tip: Use JSON scene arrays ("scenes": []) to generate multiple cinematic shots in one go, allowing smooth transitions.

2. OpenAI Sora

Use Case: Realistic human scenes, cinematic storytelling, and natural lighting.

How to Use:

1. Open your Sora Dashboard (via OpenAI workspace).
2. In the “Prompt Input” field, choose Structured JSON Mode.
3. Paste your JSON block.
4. Sora automatically maps your "description", "camera", and "lighting" keys to its internal parameters.
5. Click Generate to create a high-fidelity short clip.
6. Use the “Frame Refinement” feature to regenerate any specific shot.

Pro Tip: Add a "soundscape" or "background_music" key in your JSON for Sora to auto-design ambient audio.

3. Midjourney (Image Generation)

Use Case: High-quality still images, thumbnails, or social visuals.

How to Use:

1. Open Midjourney Discord.
2. Instead of writing a plain prompt like /imagine futuristic car, convert your JSON’s key visual line into a structured text block.
3. Example: /imagine prompt: futuristic product reveal --lighting cold rim light --mood luxurious --camera macro 360
4. Midjourney doesn’t take raw JSON yet, so extract only the key-value lines from your JSON (like lighting, mood, camera).

Pro Tip: Keep your JSON saved for consistency — reuse it for multiple image generations with small tweaks.

4. Runway Gen-3 Alpha

Use Case: Storyboard-style motion videos, ad campaigns, brand explainers.

How to Use:

1. Go to runwayml.com/gen3.
2. Upload your JSON file or paste it into the Advanced Prompt window.
3. The system interprets "objective", "style", and "scenes" automatically.
4. Run a test generation, then use Runway’s Scene Splitter to adjust each JSON scene visually.

Pro Tip: Export your generated scenes as layers to After Effects or DaVinci Resolve for final cinematic finishing.

7. Why ChatGPT + JSON Workflow is Powerful

ChatGPT helps you write film-level structured prompts, and tools like VEO 3 or Sora bring them to life visually. This pairing bridges text-based creativity with cinematic execution letting you go from idea → JSON → cinematic output in under 10 minutes.

That’s why marketers, agencies, and creators are shifting from plain-text prompting to ChatGPT-assisted JSON design it guarantees brand consistency, emotional tone, and visual fidelity across every project.

Example: Full JSON Prompt for a Viral Product Video

Here’s a complete, ready-to-use JSON prompt for an AI-generated cinematic ad of a “Futuristic Magnetic Levitation Wireless Charger”:

{
  "objective": "High-end, cinematic, scroll-stopping product reveal video.",
  "product": {
    "name": "Magnetic Levitation Wireless Charger",
    "key_feature": "Charging pad levitates and glows when smartphone hovers above.",
    "aesthetic": "Minimalist, futuristic, premium metal design."
  },
  "scenes": [
    {
      "step": 1,
      "description": "Close-up macro of the charger surface; the camera pans across brushed aluminum texture under a spotlight.",
      "camera": "Macro, slow motion, shallow focus.",
      "lighting": "Single source soft studio light."
    },
    {
      "step": 2,
      "description": "Phone slowly descends; just before contact, the pad activates and the phone levitates.",
      "visual_effect": "Soft blue energy glow, smooth levitation physics."
    },
    {
      "step": 3,
      "description": "Wide cinematic shot on a dark desk; user’s hand pauses in awe as the product levitates.",
      "mood": "Futuristic, elegant, aspirational."
    }
  ],
  "style": {
    "mood": "High-tech, cinematic luxury",
    "color_palette": "Black, silver, blue glow",
    "resolution": "4K ultra-realistic, 24fps"
  },
  "negative_prompt": "Avoid plastic textures, cartoon colors, bright daylight, or human faces."
}

Why JSON Prompts Are the Future of AI Creativity

Traditional text prompts are open-ended and inconsistent. JSON prompts, however, give control, clarity, and cinematic precision.
Brands and creators now use JSON-driven workflows to:

• Standardize AI video branding
• Save time in creative iteration
• Maintain consistent visual storytelling across platforms

This approach also enables team collaboration developers, artists, and marketers can all modify JSON sections independently.

The Bigger Picture:

JSON prompts are transforming how creators, marketers, and educators approach AI generation. From YouTube ads to TikTok reels, this structured prompt language gives unmatched control over lighting, pacing, and storytelling. As AI models like Google VEO 3, Runway ML, and Midjourney evolve, structured prompts will define how visual content is made, ensuring every pixel serves a purpose. The combination of creativity, logic, and precision turns average AI visuals into viral, high-retention content that performs across all digital platforms. Mastering JSON prompts today is like learning SEO a decade ago it’s the skill that will separate top creators from casual users in the next generation of AI-powered storytelling.

#AIPrompts #JSONPrompting #AIVideo #AIContentCreation #GoogleVEO3 #RunwayML #PikaLabs #AIFilmmaking #AIMarketing #AICreators #AIStorytelling #PromptEngineering #FutureOfAI