AIGC Marketing: Stop Making Your Most Expensive Hands Do the Cheapest Work

A few days ago, an old friend of mine from the marketing world invited me out for tea.

The moment he sat down, he sighed. The most expensive designer on his team, he said, spent three days a week doing the same thing: resizing one poster into 38 sizes. One for WeChat Moments, one for WeChat Official Accounts, one for Xiaohongshu (China's Instagram-like lifestyle and shopping platform), and yet another for the e-commerce product detail page.

After one resize too many, the designer quit.

I said: this isn't a headcount problem. You're assigning your most expensive hands to the cheapest work.

So what do I do? he asked.

That word the whole world keeps saying right now — AIGC — is aimed squarely at this.

What Exactly Is AIGC?

AIGC: AI-generated content.

It used to be that getting one image took human hands — drawing it, shooting it, retouching it. Now, text, images, audio, video: AI generates them for you and revises them for you. The way content is made has shifted from humans doing the work to humans directing AI to do it.

That is AIGC.

Standing behind it is generative AI.

What separates generative AI from the traditional software we all know? Traditional software is a good accountant: feed it a pile of data and it tallies everything perfectly — but it won't write a single extra word. Generative AI is different. It's an intern who can turn in finished homework on its own: give it one direction, and it hands you back dozens of options.

The options won't all be good.

But picking three good ones out of dozens is far faster than squeezing three out of thin air yourself.

The Blank Page Is Gone

Anyone who makes content knows: the real pain was never the revisions. It was that blank page.

Thinking up concepts, hunting references, assembling mood boards — and just like that, a week is gone.

AIGC kills that blank page. In seconds, it gives you dozens of directions. You no longer produce ideas. You pick them.

But here's the trap: many people treat AI as the touch-up station at the end of the assembly line, remembering it only after the work is done.

Wrong.

The way to actually unlock efficiency is to build AI into every stage of content production.

Step one, research and planning. Break a brief down into concrete directions, references, and shot lists.

Step two, generation. Once the first round of images and videos is out, route each shot to whichever model suits it best.

Step three, editing. Recompose, resize, remove backgrounds, add captions — all on the same canvas.

Step four, distribution. From the same source file, export every ratio each channel requires.

Scatter these four steps across five tools, and people become porters lugging files between tools. Gather them into one canvas, and people become the conductor.

Take the Melius platform. It plugs in mainstream image, video, and audio models under one subscription with a shared credit pool, and routes every job to the most suitable model. The canvas is real-time, too: generate, revise, approve — colleagues no longer need to shuttle files back and forth over email.

The company also has an agent called Mel. Mel isn't a chat box where you ask one thing, it answers one thing, and that's that. Hand it your brief, and it chains the steps above together on its own and runs them to the end.

This is exactly what my friend envied most: he used to grind out one campaign a week; now he can ship five.

Good grief. Five times the output, with the very same team.

Will AI Take Creatives' Jobs?

At this point, many people's hearts skip a beat: are designers and creatives about to be replaced?

My take: no.

AI produces options at frightening speed. But it lacks three things: empathy, cultural sensitivity, and a life actually lived. It knows what is beautiful; it doesn't know what brings a lump to your throat.

So the smart play for teams is to divide the labor.

Treat AI as a newcomer with extraordinarily fast hands. What do you do with a newcomer on day one? You teach. Teach it your brand guidelines, your color palettes, your reference images — all in one go.

On Melius, this brand context can be saved and even turned into reusable skills. Teach it once, and every image it generates from then on carries your brand's flavor. No drifting off course.

And what do humans do? Humans get promoted — from drawing the pictures to choosing the pictures and setting the direction. Emotion, judgment, fact-checking: these are jobs AI cannot take over.

AI supplies the muscle of execution; humans hold the power of taste.

Will Google Punish AI Content?

Marketers have one more thing on their minds: will Google even rank AI-generated content?

Years back, search engines did crack down on machine-churned junk. But Google itself has said it plainly: it rewards high-quality content, whether written by humans or made by AI. What it looks at is E-E-A-T: Experience, Expertise, Authoritativeness, Trustworthiness.

If your content genuinely answers users' questions and reads smoothly, it can rank.

Flip it around: all the effort spent figuring out "how to keep this from being detected as AI-written" is wasted. Algorithms read intent now; they don't just stare at keywords. Where your energy belongs is answering the why behind the question thoroughly, and covering every sub-question underneath the topic.

Images are the same. Original visuals with a brand feel hold people on the page far better than cookie-cutter stock photos.

How Do You Choose a Tool?

There are hundreds of AIGC tools on the market — enough to make your eyes glaze over. And what enterprises need and what individual creators need are two entirely different things.

Skip the demo videos. Look at four things.

First: model coverage. No model is best at everything; good output comes from giving each job to the most suitable model. An aggregator of many beats a lock-in to one.

Second: collaboration. Can generating, editing, and approving happen in real time, right on the work itself, instead of being scattered across emails and chat logs?

Third: is there an agent that actually executes? One that can plan multi-step tasks and run them to the end — that's productivity.

Fourth: pricing. One subscription with one shared credit pool beats buying each model separately.

Melius grew up precisely along these four lines: mainstream models under one subscription, a real-time multiplayer canvas, and Mel to keep the pipeline running. A once-scattered stack of tools, gathered into a single platform.

Three Habits That Truly Set You Apart

Tools are shovels. Whether you strike gold comes down to technique.

Habit one: write the prompt properly.

"Make me an ad image" will inevitably get you a mediocre image. A good visual prompt spells out five things: subject, composition, lighting, lens, mood.

Say it like this: a matte-black skincare bottle, laid flat on wet slate and shot from above, soft window light from the left, shallow depth of field, with the polish of a magazine-grade beauty editorial.

Same tool, different results — the whole gap lives inside those few sentences. On Melius you can go one step further: hand the entire brief to Mel, and it translates it into a multi-step pipeline on its own.

Habit two: personalize at scale.

Mass marketing is out; hyper-personalization is in. Take one concept and cut it into dozens of versions: one cut per channel, one cut per audience, one cut per test.

Resizing used to mean redoing the whole thing. Now, a feature like magic resize spreads one design into every ratio social media, web, and print demand — in one pass. Customizing for each channel costs minutes, not an afternoon.

Habit three: do the ROI math.

What are these tools for? Return on investment. Record how many hours your team saves on drafting and production, then put those hours into high-leverage work: strategy, distribution, community.

Push production costs down, lift output quantity and quality up, and pour the saved hours back into growth. Compounding rolls forward from there.

One Last Thing

I often wonder what this round of AI really means for marketing.

After turning it over and over, one sentence: what gets eliminated is never the people who can't draw — it's the people still racing manpower against someone else's assembly line.

AI will not replace human creativity. It amplifies it.

As we parted that day, I sent my friend a message: go home and hand those 38 sizes over to AI first.

Let the most expensive hands do the work only they can do.

May your designer never have to hand in that resignation again.