MediaPET.ai 2.0 Introduces Chat-Driven AI Video Creation, Bringing Mobile-First Production to the Forefront | Martech Edge | Best News on Marketing and Technology
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MediaPET.ai 2.0 Introduces Chat-Driven AI Video Creation, Bringing Mobile-First Production to the Forefront

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MediaPET.ai 2.0 Introduces Chat-Driven AI Video Creation, Bringing Mobile-First Production to the Forefront

MediaPET.ai 2.0 Introduces Chat-Driven AI Video Creation, Bringing Mobile-First Production to the Forefront

PR Newswire

Published on : Jan 30, 2026

AI video creation has improved rapidly over the past two years—but for most platforms, ease of use still drops sharply the moment projects become complex or mobile enters the picture. MediaPET.ai is aiming to change that dynamic with the release of MediaPET.ai 2.0, which introduces what the company describes as the first chat-enabled interface built specifically for end-to-end AI video creation.

The update goes beyond a new UI. MediaPET.ai 2.0 reframes how users plan, edit, and scale video projects—especially on mobile—by combining conversational AI, project-level control, and new content formats that extend well beyond ads.

For marketers, creators, and performance teams under pressure to produce more video with fewer resources, the release signals a shift toward conversation-led, mobile-first creative workflows.

From Prompting Clips to Managing Projects

Most AI video tools today still operate at the clip level. Users generate a scene, tweak it, export it, and repeat. MediaPET’s new approach treats the project—not the clip—as the core unit of creation.

The headline feature in version 2.0 is a chat-based interface, designed to feel familiar to anyone who has used ChatGPT or similar conversational tools. But unlike general-purpose chatbots, MediaPET’s interface is highly structured around a video project, guiding users step by step through ideation, scripting, scene generation, and editing.

Instead of juggling timelines, menus, and settings, users can now:

  • Ask for creative direction or revisions in plain language

  • Move through production stages conversationally

  • Apply changes across all scenes at once, not one clip at a time

That last capability is particularly notable. According to MediaPET, no other AI video platform currently supports global, cross-scene edits through natural language. For example, a user can change tone, pacing, branding, or spokesperson style across an entire video with a single instruction.

For teams managing high volumes of content, that shift alone can dramatically reduce production time.

Built for Mobile, Not Just Compatible With It

While many AI video platforms technically work on mobile devices, few are designed around mobile usage. MediaPET.ai 2.0 takes a different stance, positioning itself as the first truly mobile-friendly AI video creation platform.

The chat-driven workflow plays a key role here. By removing the need for complex UI controls and timelines, MediaPET enables creators to build and edit videos directly from their phones—an increasingly important capability as social-first and UGC-style content dominates distribution channels.

This mobile-first design aligns with broader trends in creator tools, where conversational interfaces are replacing dense dashboards. For marketers and small teams, it also opens the door to faster iteration, on-the-go approvals, and real-time content updates without being tied to a desktop setup.

Expanding Beyond Ads: Three New Creation Modes

MediaPET built its early reputation as an AI-powered ad creation platform, but version 2.0 expands its scope significantly with three new content creation modes:

  1. Ads Mode

  2. Short-Form Movies

  3. Story Mode

Together, these modes reflect how video marketing is evolving—away from rigid formats and toward storytelling, authenticity, and platform-native experiences.

Short-form movies and story-based videos are particularly relevant for brands experimenting with TikTok, Instagram Reels, YouTube Shorts, and emerging CTV formats. These modes allow creators to structure narratives more naturally, rather than forcing everything into a traditional ad framework.

The result is a platform that positions itself as all-in-one video infrastructure, rather than a niche AI ad generator.

Spokesperson Videos and the Rise of AI-Driven UGC

One of the most impactful additions in MediaPET.ai 2.0 is its expanded spokesperson video capability, designed to scale user-generated content (UGC) and product demos.

With the new release, users can create spokesperson videos using:

  • Uploaded photos of real people, or

  • AI-generated characters

These spokespersons can deliver scripted content, testimonials, or explanations, helping brands produce UGC-style videos without relying on creators or production crews.

More notably, MediaPET now supports rich demo segments generated from a single product photo. That means marketers can showcase products “in use” visually—even when no video footage exists.

This capability taps directly into a growing demand in performance marketing: scalable, authentic-looking video that doesn’t require expensive shoots or influencer coordination.

Why the Chat Interface Matters More Than It Sounds

Chat interfaces are becoming common across AI tools, but MediaPET’s implementation is less about novelty and more about workflow orchestration.

Unlike chat systems that simply generate outputs, MediaPET’s conversational UI:

  • Understands project context

  • Maintains continuity across scenes

  • Applies instructions globally

  • Guides users through structured stages of creation

This design reduces the cognitive load of video production, especially for non-experts. Instead of learning video editing concepts, users focus on intent—what they want the video to communicate—while the system handles execution.

For MarTech teams, this lowers the barrier to entry for video creation and makes it easier to distribute production across marketing, growth, and even product teams.


Executive Perspective: Differentiation Through Usability

MediaPET CEO Dr. Duane Varan frames version 2.0 as a clear step-change rather than an incremental update.

“Version 2.0 is a game-changing release adding new features that further differentiate MediaPET,” said Varan. “The chat feature makes AI video content creation easier than ever and mobile friendly. And the spokesperson mode radically advances UGC creation—particularly with its demo features that allow you to truly highlight the product in use.”

That emphasis on differentiation is telling. The AI video space is increasingly crowded, with competitors racing to add generative features. MediaPET is instead leaning into usability, structure, and end-to-end flow as its core advantage.

Competitive Context: Where MediaPET Fits

The broader AI video market has split into a few camps:

  • Text-to-video generators focused on novelty

  • Avatar-based platforms centered on talking heads

  • Ad-centric tools optimized for performance media

MediaPET.ai 2.0 attempts to unify these approaches under a single interface, while adding project-level intelligence that many rivals lack.

The ability to manage entire video projects conversationally—and to apply edits across scenes—positions MediaPET closer to a creative operating system than a point solution.

For teams juggling speed, cost, and consistency, that distinction matters.

Pricing and Availability

MediaPET.ai 2.0 is available now to all users, with plans starting at $24.99 per month. The new chat-enabled interface, creation modes, and spokesperson features are live as part of the rollout.

That entry price places MediaPET competitively within the AI video market, particularly given its mobile-first design and all-in-one positioning.

The Bigger Picture: Conversational Creative Tools

MediaPET’s update reflects a broader shift in MarTech and creative tooling: interfaces are becoming conversational, and complexity is moving behind the scenes.

As AI capabilities mature, differentiation is increasingly about how intuitively humans can direct those systems. MediaPET.ai 2.0 suggests that chat-based, project-aware interfaces may be the next step in making AI-generated video practical at scale—not just impressive in demos.

For brands and creators trying to keep up with the relentless demand for video, that evolution couldn’t come at a better time.

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