What is FansAI? How We Understand 'Content Science' from AI Products, Global Creators, to Commercial Content

If you only know FansAI through our public works, it is easy to view us as an AIGC advertising production company.

That assessment isn't entirely wrong. Brand TVCs, IP content, social media videos, animations, and cross-border projects are indeed FansAI's most mature and visible commercial businesses. However, staying only at this surface level fails to explain why we continuously develop AI products across music, comics, motion, interactive video, and global social media distribution—or why we ultimately chose to define ourselves as an AI-driven content science company.

The real question we aim to solve goes beyond 'how to make a piece of content with AI': What content is worth creating, why is it accepted by people, how can it be consistently produced, and how does it enter different markets and real commercial environments?

As Models Get Stronger, What is Truly Scarce in Content Changes

The AI industry in 2026 is undergoing an obvious shift.

36Kr noted in its August observation of the AIGC content sector that capital attention has begun shifting from pure video generation models to creation tools, content production platforms, and content companies that possess real users, revenue, and IP assets. In other words, while 'stronger models' remain important, the market cares increasingly about what happens after the model.

Global markets reflect similar signals. AI video platform Higgsfield completed a $400M Series B funding round in August 2026 at a $5.4B valuation, revealing over 30 million users across 200 countries and serving 390 Fortune 500 companies. It is evolving from a video generation tool into brand marketing, film production, and complete creative workflows.

AI music leader Suno announced a Series D round exceeding $400M in June 2026, also reaching a $5.4B valuation. Its mission is no longer just 'generating songs', but enabling everyday users, creators, and professional musicians to deeply participate in the music creation process.

While these companies operate in different domains, they point to a shared trend:

Generative capability is becoming infrastructure; long-term value increasingly stems from products, users, workflows, and authentic commercial relationships.

This is precisely why FansAI refuses to limit itself to 'AIGC production'.

What Kind of Company is FansAI?

FansAI (Yaocheng AI) is an AI-driven content science company.

We build on AI product and tech R&D as our foundation: one end connects real creators and global users, while the other connects brands, commercial projects, and media environments. In July 2026, FansAI completed the full acquisition of Xinying Technology, integrating Songdio, PixComic, and Dance Any into our product system while continuing R&D on content products like ROTO and Marketrack.

Commercial brand content serves as real-world validation on the other end. FansAI produced a full-AIGC brand TVC for Yili Satine (zero live shoots, delivered in 10 days); completed multiple international IP content projects for MINISO; and executed TCL's Winter Olympics project combining Italian live footage with domestic AIGC to complete cross-border production and multi-version delivery within 14 days.

Structurally, FansAI did not start by 'making ads first and adding a few AI products later'.

Products, users, and brand projects have always answered the same underlying question:

How can we more sustainably understand, create, validate, and distribute content?

Products are the Foundation of Content Science, Not Side Projects

This is a fundamental principle in FansAI's current structure.

Commercial AIGC generates stable projects and revenue, but in terms of long-term capabilities, we do not place it above product and tech R&D. On the contrary, product R&D determines whether we can continually enter new content behaviors, while brand projects validate whether these insights actually solve commercial problems.

A brand project tells us: what aesthetic passes review, what technology can be reliably delivered, and what content holds up in specific media channels.

A continuously running product tells us an entirely different set of daily questions: why users start creating, what content gets saved and shared, which features drive paid conversions, and why users in different countries make distinct choices.

Only by observing both sides does 'content science' refrain from remaining an abstract concept.

Songdio: Moving from AI Music Generation to Real Global Creation

Within FansAI's product ecosystem, Songdio is our primary focus.

Songdio was designed for global creators from day one. It is not merely a single-function music generator that outputs a track from a single prompt, but an evolving suite for comprehensive music creation scenarios.

According to Songdio's official platform, users can generate music via text, images, or humming. The product also supports Music-to-MV, Text-to-MV, AI Singer Cover, and stem separation capabilities. In short, a single creative entry point begins connecting music, audio, and visual content.

Songdio's official vision is not just an AI music tool, but an AI music ecosystem spanning creation, discovery, sharing, and community engagement.

This is vital for FansAI.

In the past, we understood content through brand briefs—where brands defined communication goals, target audiences, timelines, budgets, and product requirements. We searched for solutions within those boundaries.

Songdio brings us to the opposite end of content.

A user hums a melody, uploads a photo, or writes a single line. Why did they create? Why keep one version over another? Why share it? Why pay for a feature? These micro-decisions form a live dataset of content behaviors that project-based work alone cannot supply long-term.

As previously disclosed, Songdio has connected creators across Europe, Japan, South Korea, and Southeast Asia. In August 2026, we further expanded into Tokyo, directly engaging local creators and users.

Songdio's value to FansAI goes far beyond 'owning an AI music app'.

It allows us to continuously observe:

When AI lowers the creation barrier, how do people actually create?

Understanding Content Beyond Music

While Songdio is our current key highlight, it does not represent the entirety of content science.

PixComic explores comic and visual narrative, letting us observe how characters, storylines, storyboards, and visual styles are organized into continuous content by everyday creators.

Dance Any focuses on action and dance content. Much short-form video content spreads not through full narrative arcs, but through physical action, music, performance, and viral social trends. Understanding this domain is crucial to grasping contemporary content dynamics.

This trend toward 'vertical modality productization' is evident globally. Suno has proven that AI music can foster independent, large-scale creator products; Runway and Higgsfield continue extending video generation into professional workflows and brand production. Mature AI content products rarely try to solve everything through a single entry point—they build deep user relationships within specific content behaviors.

ROTO pushes the question from 'what to create' to 'how users interact with content', exploring open-world and interactive video formats where content evolves dynamically based on user input.

Marketrack addresses the distribution stage: global social media distribution. Positioned as a platform helping brands go global, Marketrack delivers content directly onto major global social platforms alongside execution support. While undergoing ongoing R&D, Marketrack represents a key layer of FansAI's content science—content isn't finished when produced; it must enter real markets and platforms.

Music, comics, action, interactive video, and distribution might seem like disparate products, but they correspond to distinct phases in the content lifecycle.

Why Do We Keep Developing These Products?

Because the AI content sector moves too fast to rely solely on agency project experience.

Models change every few months, new formats emerge, and platform algorithms adjust constantly. A content company that only waits for client briefs will only see pre-defined problems; an AI startup that only builds generation tools easily gets trapped in feature metrics and API call counts.

FansAI strives to see three layers of reality simultaneously:

What creators are making, what users are choosing, and what brands are willing to pay for.

Products let us engage the first two layers.

Brand projects constantly validate the third.

That is why product R&D and commercial content reside within the single framework of 'content science' rather than split into unrelated business silos.

We don't claim to have built a finished content science system. Many products are iterating, and connections are still forming. But continuous R&D forces us into real content behavior every day, keeping us grounded in live practice rather than past accomplishments.

Commercial AIGC: The Most Mature Testing Ground for Content Science

If products help us understand how content is created and consumed, brand projects face a stricter demand:

Content must be delivered to real-world standards.

It must pass the test of budgets, deadlines, brand guidelines, copyright constraints, media channels, and audience reception.

Commercial AIGC is FansAI's most mature business today and the most rigorous testing ground for content science.

We categorize these commercial capabilities across several distinct formats:

Brand TVCs: Top-Tier Visual and Delivery Validation

TVCs remain a crucial pillar of brand storytelling.

With AI, the challenge is no longer 'generating an image', but ensuring character consistency, product fidelity, realism, directorial language, and brand aesthetics work cohesively together.

The full-AIGC brand TVC for Yili Satine—zero live shooting, delivered in 10 days—is a hallmark practice: validating how AI enters strict corporate visual standards rather than merely replacing a video shoot.

IP Content: From Licensed Assets to Long-Term Content Equity

IP content is far more complex than standard video because characters come with established lore, fanbase expectations, and strict copyright boundaries.

FansAI's work with MINISO across Disney, F1, and Zootopia IPs required managing character consistency, licensing rules, creativity, and multi-party reviews. Our recent project with 'CHOU CHOU and Friends' tackled celebrity IP: animating characters while managing fan culture, offline retail integration, and long-term character operations.

IP content tests: How to integrate AI into existing cultural assets without degrading them.

Social Media Content: AI's True Scale Scenario

Social content operates on completely different rules than TVCs.

It demands high frequency, speed, and platform context. One creative idea often requires dozens of aspect ratios, localized versions, and platform-tailored expressions.

AI's value here isn't making everything look 'AI-generated', but enabling rapid content variation while preserving brand consistency.

Marketrack will heavily support this layer in the future by bridging production with global social channel requirements.

Animation, Motion Comics, and Narrative: Moving from Single Frames to Continuous Production

AI animation and long-form narrative content are entering new industrial phases.

Observations from 2026 show AI tools advancing from 'generating single shots' to script breakdown, character control, storyboarding, full execution, and continuous pipeline production. Capital is paying close attention to teams that can reliably produce continuous content and build commercial models around it.

For FansAI, narrative formats test character persistence, long storytelling, consistency, and scalable production pipelines.

From Portfolio Wins Back to Content Science

Looking purely at projects, FansAI has built a strong portfolio of client cases.

Yet our true focus is not simply accumulating case studies, but ensuring every project leaves behind transferable capabilities.

Yili Satine yielded expertise in photorealistic rendering and brand control; MINISO's IP projects deepened our understanding of characters, licensing, and fan culture; TCL's Olympic campaign proved hybrid live-action + AIGC workflows; CHOU CHOU provided initial operational insights into celebrity IP; and global social campaigns raised new distribution questions.

Isolated, these are just separate project wins.

Fed back into our products, technology, user models, and future creative judgments, they become what FansAI calls Content Science.

Creators on One End, Brands on the Other

The simplest way to understand FansAI is not a static service list:

On one end are global creators and everyday users. Songdio, PixComic, Dance Any, and upcoming products keep us connected to real content behaviors across music, narrative, and motion.

On the other end are brands and commercial markets. TVCs, IP, social assets, animation, and cross-border production force us to tackle budgets, aesthetics, copyright, media, and ROI.

ROTO explores interactive user-content relationships, while Marketrack ensures content flows smoothly into global social channels.

All of this answers one core question:

How can AI help us not just produce more content, but continuously understand content better?

This is why FansAI defines itself as an AI-driven Content Science Company.

Conclusion: AIGC is Today's Scorecard; Products Determine How Far We Go

The AI industry is easily defined by whichever model generation is currently trending.

Today it's video, tomorrow agents, and next year new forms entirely.

FansAI does not want to build its identity around being 'the best at using a specific AI tool'.

We aim to build a system capable of adapting to new content environments: backed by products that reach real users, technology that unlocks creative possibilities, brand projects that withstand commercial scrutiny, and a global market that constantly refines our insights.

Commercial AIGC is a proven, growing business for FansAI today.

But it is not the destination.

Songdio and our broader product matrix represent our long-term commitment: participating directly in the evolving relationships between creators, users, content, and markets.

'Content Science' is not a fixed formula.

It is an active methodology:

Observe authentic content behavior, validate demand through products, expand possibilities with technology, and verify results through commercial execution.

Content will keep evolving. FansAI's goal is to ensure that our speed of understanding, creating, and adapting keeps pace with that change.