You can make marketing videos with AI by combining a script generator (ChatGPT), an AI video tool (Runway, Sora, or Synthesia), and a voice/avatar layer. Most marketers produce a polished 60-90 second video in under two hours without a camera or production team. For teams that need to build this into a repeatable workflow, Grit runs hands-on AI marketing training across Malaysia and Singapore that covers exactly this.
- AI video tools have cut average video production time by up to 80% compared to traditional production
- 91% of businesses use video as a marketing tool, but most teams still lack the capacity to produce at scale
- Text-to-video tools like Sora, Runway Gen-3, and Kling now produce broadcast-quality clips from a single prompt
Who this is for: Marketing managers, content teams, entrepreneurs, and corporate communicators who want to produce video content faster without outsourcing to agencies.
What Is AI Video Generation and Why Does It Matter for Marketers?
AI video generation refers to using machine learning models to create, edit, or enhance video content from text prompts, images, scripts, or existing footage. For marketing teams, this removes the three biggest barriers to video production: cost, speed, and access to creative talent.
Where a 30-second brand video once required a production crew, shoot day, and editing suite, the same output can now be assembled from prompts and a laptop. The shift is not incremental. It fundamentally changes what a lean marketing team can produce in a given week.
The key is understanding which tool to use for which job, and how to build a repeatable workflow rather than a one-off experiment.
What Are the Best AI Tools for Making Videos?
Different tools serve different use cases. Here is a working comparison for marketing teams:
| Tool | Best For | Input Type | Output Quality | Free Tier |
|---|---|---|---|---|
| Runway Gen-3 | Text-to-video, video editing, visual effects | Text prompt, image, video | High (cinematic) | Limited credits |
| OpenAI Sora | High-fidelity text-to-video campaigns | Text prompt | Very high | No (ChatGPT Plus) |
| Synthesia | Explainer videos, training content, spokesperson avatars | Script + avatar selection | High (studio-look) | Yes (1 video/month) |
| HeyGen | Personalized video, avatar cloning, multilingual | Script, avatar | High | Yes (limited) |
| D-ID | Talking head videos, image animation | Script + image | Medium-High | Yes (trial) |
| Kling AI | Realistic motion, product videos | Text prompt, image | High | Yes (daily credits) |
| CapCut AI | Short-form social video, reels, subtitles | Footage, script | Medium | Yes |
For most marketing teams starting out, Synthesia or HeyGen is the most practical entry point because they require no video footage and produce brand-consistent output from a written script alone.
How to Make a Marketing Video with AI: Step-by-Step
This workflow applies to product explainers, social media content, internal communications, and training videos. Adapt it to your specific output format.
Step 1: Define the Video Goal and Format
Before opening any tool, answer three questions: What action should the viewer take? Where will this video live (LinkedIn, website, email)? How long should it be? Format and platform dictate every decision downstream, including aspect ratio, pacing, and voiceover style.
Step 2: Generate a Script with ChatGPT
Use a structured prompt to generate your script. Example prompt structure:
- “Write a 60-second explainer script for [product/service] targeting [audience]. Tone: [professional/conversational]. CTA: [specific action]. Format: hook, problem, solution, CTA.”
Refine the output for brand voice before moving to production. A weak script produces a weak video regardless of how good the tool is.
Step 3: Choose Your Video Format
There are three main AI video formats for marketing:
- Avatar/spokesperson video (Synthesia, HeyGen): Best for explainers, product demos, and internal comms. No camera needed.
- Text-to-video/image-to-video (Runway, Sora, Kling): Best for brand storytelling, campaign visuals, and abstract concepts.
- Footage + AI editing (CapCut AI, Descript): Best for repurposing existing recordings with auto-captions, background removal, and smart cuts.
Step 4: Generate the Video
In Synthesia or HeyGen: paste your script, select an avatar, choose a voice, adjust pacing, and render. Most videos are ready in 3-10 minutes. In Runway or Kling: write a detailed visual prompt, specify motion style and duration, and generate clips. Plan for multiple iterations before your best take.
Step 5: Edit and Optimize for Platform
Use CapCut or a native editor to add captions (critical: 85% of social video is watched without sound), brand overlays, and a final CTA frame. Export in the correct aspect ratio for each platform (16:9 for YouTube, 9:16 for Reels/TikTok, 1:1 for feed posts).
Step 6: Review for Brand Compliance and Accuracy
AI-generated video requires a human review gate. Check for hallucinated facts in the script, off-brand visual elements, unnatural avatar gestures, and audio sync issues. Build a brief QA checklist into your workflow from the start.
How to Build a Repeatable AI Video Workflow for Your Team
One video is an experiment. A system is a capability. For marketing teams producing regular video content, the goal is to document the workflow so any team member can execute it, not just the person who discovered the tool.
A documented AI video workflow should include: prompt templates for different video types, a list of approved avatars and voice profiles, brand asset folder for logos and overlays, a review checklist before publish, and a folder structure for rendered assets. Most teams that successfully adopt AI video do so because one person builds the system and then trains the rest of the team on it. This is exactly the approach covered in Grit’s AI marketing training programmes.
If your team is at the stage of exploring AI tools but not yet producing consistently, a structured training engagement is often faster than self-directed trial and error.
Common Mistakes When Making Videos with AI
- Skipping the script. AI video tools are only as good as the input. Generic prompts produce generic output. Invest time in the script and visual brief first.
- Over-relying on one tool. Most professional AI video workflows combine 2-3 tools: one for generation, one for editing, one for captions or translation.
- Ignoring platform formatting. A 16:9 video posted to Instagram Stories is a wasted effort. Format for the platform before you produce, not after.
- No review process. AI-generated content can include subtle errors, unnatural speech patterns, or off-brand visuals. A QA step is non-negotiable before publication.
- Not building for scale. If each video takes a fresh round of experimentation to produce, you haven’t built a workflow. Template and document everything.
Who Should Learn AI Video Production?
AI video skills are now a practical requirement for several roles, not just video specialists:
- Content marketers producing blogs and social content who need video equivalents without a production budget
- Brand and comms managers who need fast-turnaround spokesperson videos or campaign visuals
- Training and L&D teams building internal learning content at scale
- Marketing leads responsible for channel performance who want to expand into video without headcount
- Entrepreneurs and SME owners managing their own digital presence without an agency
For corporate teams in Malaysia and Singapore, Grit offers practitioner-led AI marketing training that covers AI video tools as part of a broader GenAI enablement curriculum. The training is hands-on, applied, and designed for teams that need to execute, not just understand the theory.
Summary
Making videos with AI is no longer a niche skill. It is a core marketing capability for any team serious about content volume, speed, and production quality. The best starting tools for most marketers are Synthesia or HeyGen for spokesperson videos and Runway or Kling for generative visual content. The real competitive advantage comes not from knowing the tools, but from building a documented, repeatable workflow your entire team can run.
If your team is ready to move from experimentation to consistent execution, Grit’s AI marketing programmes are designed to get you there through hands-on, practitioner-led training.
Start Building Your AI Video Capability
Contact Grit to discuss a tailored AI video and content training programme for your team.
WhatsApp us: +6012-3931007
