How I Use Midjourney for Marketing Images and Campaign Concepts

Last reviewed: October 2026

I’ve used Midjourney to create article images, develop social content, explore campaign concepts and figure out what an idea could look like before I spend much time producing it. What I like most about it is the ability to explore several visual directions quickly instead of having to fully develop the first idea that comes to mind.

But Midjourney isn’t the only tool I use to create AI images for marketing anymore. I can do many of the same things directly in ChatGPT, and Gemini now uses Google’s Nano Banana models for image generation and editing. ChatGPT currently supports creating and editing images, uploaded-image edits, different aspect ratios, text inside images and transparent backgrounds, while Gemini’s Nano Banana 2 can generate and edit images and work with multiple references.

So this isn’t an argument that every marketer needs Midjourney. It’s about where Midjourney still fits into my own marketing workflow when I already have other tools that can do a lot of the same work.

My AI Image Workflow Has Already Changed Several Times

At one point, I had a Custom GPT specifically for creating images in ChatGPT. I had given it instructions about the types of images I wanted, the way I liked to approach prompts, and some of the things I wanted to keep consistent, which saved me from starting from scratch every time.

That workflow made sense then, but the tools around it kept changing. ChatGPT can now generate an image inside the same conversation where I am working through an article or campaign, and I can upload an existing image and describe the changes I want rather than starting over. OpenAI’s current image tools also let me select parts of an image for editing, change the aspect ratio and continue refining the image through conversation.

At the same time, Gemini’s Nano Banana tools have become another option. Google currently offers Nano Banana 2 for image generation and editing, including local edits, improved text rendering and the ability to work with multiple reference images, while Nano Banana Pro is available for some higher-control workflows on paid plans.

That experience has made me much less interested in declaring one particular tool my “AI image system.” The part worth keeping is the process: figuring out what the image needs to communicate, deciding what visual direction makes sense, giving the AI useful context and references, and knowing when the result is good enough to use.

Midjourney vs. ChatGPT Images vs. Nano Banana for Marketing

There is enough overlap now that I don’t think most people need to choose one AI image generator and use it for everything. I reach for each one for slightly different reasons, and those reasons may continue changing as the products change.

Tool	When I’m most likely to use it	What I like for marketing	What I watch out for
Midjourney	Exploring campaign directions, moods, visual styles and concepts	Strong visual exploration; Image Prompts and Style References make it easy to guide the look and feel of an idea.	It can interpret the idea more freely than I want, and endless variations can become a time sink
ChatGPT Images	I’m already developing the article, campaign or marketing idea in ChatGPT	I can go directly from the marketing discussion into image creation and keep editing in the same conversation.	I still inspect details carefully when accuracy or a precise edit matters
Gemini / Nano Banana	I’m already working in Gemini or want to work with Google’s current image models	Nano Banana 2 supports generation, editing, local changes, text and multiple image references.	Which model and capabilities are available can depend on the Gemini model and plan

I don’t see one of these as the universal winner. Sometimes staying inside ChatGPT is easier because all of the context for the article is already there, while another project may make me want to explore visually in Midjourney or make an edit using Nano Banana.

That is increasingly how I think about AI tools in general. They have overlapping capabilities, so the question becomes less “Which tool is best?” and more “Which tool makes sense for what I’m doing right now?”

Where Midjourney Still Fits Into My Marketing Work

Where I still enjoy Midjourney most is visual exploration. Sometimes I know the audience, subject and general idea, but I haven’t figured out what the creative direction should actually look like.

Imagine a bakery wants to promote corporate breakfast catering. Asking for “a beautiful photo of pastries” could easily produce a great-looking image that says almost nothing about corporate catering, so I would start with the marketing situation instead.

I might create a scene showing breakfast being set up in a conference room before a morning meeting, with the food clearly visible and open space where copy could eventually sit. Then I could explore a more polished corporate version, a warmer neighborhood-business version and a closer product-focused version before deciding which direction fits the campaign.

That is a very different use of AI from simply asking it to make something attractive. I’m using the images to help me figure out what the marketing idea should look like.

I Use Midjourney Before Production, Not Only Instead of Production

AI-generated images don’t always have to become the final marketing asset. Sometimes their biggest value is helping me make decisions before I spend money producing something.

Suppose a business is considering a seasonal campaign built around “summer evenings in Pasadena.” Before organizing photography, choosing locations or hiring anyone, I could use Midjourney to explore whether that campaign should feel casual and neighborhood-oriented, polished and aspirational, nostalgic, energetic or something else entirely.

Once there are actual images on the screen, that conversation becomes much easier. Someone can say, “That is too polished for us,” or “I like this direction, but it should feel more local,” instead of trying to interpret a string of adjectives in a creative brief.

The final campaign may still use a photographer or designer. In that case, Midjourney has still done something useful by helping us figure out which idea deserves to move into production.

References Have Become More Useful to Me Than Giant Prompts

When I first started creating AI images, it was easy to think better results required longer and longer prompts. I don’t think that is always the best approach anymore, especially when a visual reference can communicate something much faster than several sentences of description.

Midjourney’s Image Prompts can influence things such as content, composition and color, while Style References are designed to carry over the overall visual feel of another image, including color, texture, medium and lighting. Midjourney actually recommends keeping the accompanying text prompt relatively simple when using a Style Reference rather than piling on style instructions that may conflict with the reference.

That makes a lot of sense for marketing work. If I already have an image that captures the kind of visual direction I want, showing the tool the reference can be much more useful than trying to explain “warm editorial photography with natural light and a slightly sophisticated neighborhood feel” from scratch.

References can also help when I need several images to feel like they belong to the same project. Midjourney’s Style References are specifically meant to help maintain a similar visual theme across different creations.

Visual Consistency Isn’t the Same Thing as Brand Consistency

AI tools have gotten much better at maintaining a visual look, but I still don’t treat that as full brand management. A set of images can feel related and still get important brand details wrong.

If exact product details, colors, packaging, uniforms, logos or other recognizable elements matter, I check those separately. Sometimes the easiest workflow is to use Midjourney for the underlying visual and finish the actual marketing asset somewhere I have tighter control over the branded elements.

This becomes especially important when the image represents something real. If an AI-generated product looks different from the one the customer will receive, a beautiful image has created a marketing problem rather than solved one.

Midjourney Helps With Images That Would Be Expensive or Awkward to Photograph

There are plenty of marketing ideas that would require a model, location, props, photographer and a lot of coordination if I tried to create them conventionally. For an article image, presentation concept or early-stage campaign idea, that may not make financial sense.

For example, I might want an image showing a small-business owner standing in a stockroom wondering why one product sells constantly while everything else sits untouched. If that image is supporting an educational article rather than representing a real store, AI makes it possible to illustrate the idea without staging an entire photo shoot.

I’m much more cautious when the image is supposed to show an actual product, location or customer experience. A hotel should not use an AI-generated room that guests can’t actually book, and a business shouldn’t create a prettier AI version of its product that quietly changes what the customer will receive.

The more literal the claim being made by the image, the more important accuracy becomes. Conceptual imagery gives me much more room than factual product imagery.

Editing Has Made AI Image Tools Much More Useful for Marketing

One of the frustrations with early image generators was getting an image that was almost right and then having to regenerate the whole thing because of one problem. The image might have the right people, setting and mood but leave no room for a headline, or one distracting object might ruin an otherwise useful composition.

Midjourney now distinguishes between using reference images as inspiration and using its editing tools when you want more precise changes to an existing image. Its current Image Prompt documentation specifically points users toward the Editor when the goal is to modify an image rather than simply influence a new creation.

ChatGPT has moved strongly in this direction too. I can upload or generate an image, describe an edit conversationally, or select a particular area and ask for a change, although OpenAI notes that selected areas are not always exact and an edit can extend beyond the highlighted portion.

Nano Banana 2 also supports local edits to images rather than requiring a complete regeneration. That overlap is one of the reasons I don’t automatically open Midjourney simply because the job involves an image.

I Usually Separate the Image From the Final Marketing Layout

I don’t necessarily need the image generator to produce the final finished ad. If an asset needs an exact headline, price, CTA, disclaimer, logo placement and precise typography, I often prefer to generate the visual first and finish the layout somewhere I have more control.

The image tools themselves are getting better at text. ChatGPT can follow instructions to include text inside an image, and Google specifically lists improved text rendering among Nano Banana 2’s current capabilities.

That doesn’t mean forcing the image generator to handle the entire layout is always the fastest workflow. Sometimes it is much easier to create the visual I want, export it and add the exact marketing copy separately.

One of the Biggest Risks Is Making Images Because They Look Cool

Midjourney makes experimentation so easy that it can quietly turn into its own hobby. You generate several options, one catches your attention, you create variations, then improve the lighting, try another composition and suddenly you’ve spent 45 minutes improving an image that was probably already good enough.

I have to watch for that too. There is always another possible variation, so the tool does not naturally give you a point where the work is finished.

The question I try to come back to is much simpler: What does this image need to help the customer notice, understand or feel? If another round of variations is not improving that job, I probably don’t need another round.

Beautiful Creative Can Still Be Bad Marketing

There is another problem with image generators that I think marketers need to pay attention to. They can make a mediocre idea look impressive enough that we stop questioning whether the underlying idea is any good.

That is where something like my /truthmode cheat code becomes useful even though it has nothing specifically to do with image generation. Instead of asking ChatGPT whether the image looks good, I can ask it to challenge whether the visual is actually supporting the campaign objective, whether the message is clear, and what a customer might misunderstand.

A beautiful image doesn’t fix a confusing offer. It also doesn’t fix weak positioning, the wrong audience or a promotion nobody actually wants.

AI Makes Creative Testing Much Easier

Midjourney, ChatGPT Images and Nano Banana all make it possible to create visual variations much faster than traditional production would allow. For a small business that would never pay for five separate photo shoots to test five ideas, that can open up possibilities that simply weren’t practical before.

The danger is creating five completely different pieces of creative and then assuming the performance difference tells you something specific. If one image contains a person, another has a product, the lighting changes, the crop changes and the message changes, I may know which one performed better but still have no idea why.

I would rather start with a question. Maybe I want to know whether showing the product in use performs differently from showing the product by itself, so I would keep as much of the rest of the creative direction consistent as I reasonably can.

That connects directly with You Keep Trying New Marketing Ideas, but Don’t Know What You’re Learning. AI gives us the ability to create far more variations, but it does not automatically turn those variations into useful marketing experiments.

AI Images Can Help a Small Business Stop Creating Everything at the Last Minute

A lot of small-business creative happens under deadline. Someone realizes Thanksgiving is next week, the workshop needs an image tomorrow, or the new service page is launching Friday and nobody has figured out what visual belongs on it.

AI can obviously make those last-minute jobs faster, but I think there is a better use. During quieter periods, a business can build a library of visuals around predictable needs such as seasons, services, recurring educational topics, events and common customer situations.

That way, the business isn’t always generating from zero under pressure. The images still need to be reviewed and updated, but at least there is a starting point before the deadline arrives.

This ties into Your Marketing Is Always Last-Minute. Sometimes the most useful thing AI can do isn’t make the rushed task faster; it is help you get far enough ahead that the task stops being rushed.

Privacy Is Something I Pay Attention to With Midjourney

Midjourney is more open by default than some people may expect. Its documentation says creations can potentially appear on the Midjourney Explore page, while Stealth Mode is available on Pro and Mega plans for people who need to keep work private on the Midjourney site.

There is an additional detail worth knowing if you use Discord. Midjourney says that even with Stealth Mode turned on, work created in public Discord channels remains visible there, so private work needs to be created in an appropriate private environment as well.

That matters if I’m experimenting with an unreleased campaign, confidential client concept or anything else that shouldn’t be public yet. I don’t assume that an AI creative workspace is private simply because I’m the person sitting at the computer using it.

Where ChatGPT Images Makes More Sense for Me

There are times when opening Midjourney would just add another step. If I’ve spent an hour in ChatGPT developing an article, working through the audience and figuring out what visual would best explain the idea, it can make more sense to create the image right there.

The conversation already contains useful context about what I’m trying to communicate. ChatGPT can generate the image, let me describe changes, accept uploaded images for editing and handle different aspect ratios without making me re-establish the entire idea somewhere else.

That is one reason my old image Custom GPT became less important over time. The image-generation capability itself became more integrated into the conversation, so some of the reason I originally created a dedicated setup disappeared.

Where Nano Banana Makes More Sense for Me

Nano Banana gives me another option when I’m already working in Gemini or when its image-editing capabilities fit the job well. Google’s current Nano Banana 2 supports image generation, local edits, multiple reference images, character consistency and improved text rendering, while Nano Banana Pro is positioned as the higher-control option for eligible paid users who want to regenerate an image with more detail.

That means I don’t have to leave Gemini just because a research or content project suddenly needs a visual. In much the same way that ChatGPT can take me from discussion to image generation, Gemini can let the visual work stay connected to whatever I was already doing there.

I expect these boundaries to keep moving. Midjourney may add something I prefer, ChatGPT may get better at a job I currently do elsewhere, or Nano Banana may become the easiest choice for another part of the process.

Where Midjourney Wins a Place in My Workflow

I still like opening Midjourney when I want to explore visually rather than simply execute an image I can already describe clearly. Its Style References and Image Prompts give me several ways to guide an idea while still leaving enough room for the tool to show me something I might not have thought of myself.

Midjourney’s Style Creator also lets users develop reusable style codes from visual choices, which pushes it further toward creative exploration rather than only prompt-to-image generation.

Sometimes that creative looseness is exactly what I want. Other times it is exactly what I don’t want, which is why I’m happy to have more than one option.

Where Midjourney Frustrates Me

The same interpretive quality that makes Midjourney interesting can also make it frustrating. Sometimes I want the tool to surprise me, while other times I know exactly what I want and would prefer it not creatively reinterpret the assignment.

The endless-variation problem is real too. Because there is always another version available, I have to decide that the image is finished rather than waiting for the tool to reach a natural stopping point.

I also wouldn’t automatically use it for anything where literal accuracy is the most important requirement. A screenshot, real product photograph, simple diagram or actual photograph of the business may communicate the information more clearly and honestly than a sophisticated AI-generated image.

Is Midjourney Worth Paying For for Marketing?

For me, the answer depends on how much visual work you actually do and what tools you are already paying for. If you regularly need campaign concepts, article imagery, visual exploration, social creative or early creative direction, Midjourney can have a real job in the marketing process.

But if you already pay for ChatGPT or a Google AI plan and only need occasional marketing images, I would start with the image tools you already have. ChatGPT and Gemini can both create and edit images today, so there is no reason to add another subscription simply because Midjourney can make impressive pictures.

I would add Midjourney when there is something about its particular workflow that I actually miss. For me, that is most often the visual exploration side of the work rather than simply needing an AI-generated image.

If You’re Starting With AI Images for Marketing

I wouldn’t begin by trying to decide which AI image generator is “the best.” Start with an image you genuinely need and work backward from the marketing job.

Maybe you need a header image for an article, want to visualize three directions for a seasonal campaign, or need to see what a photo-shoot concept might look like before you spend money producing it. Write down what the image needs to communicate, who is going to see it, where it will appear and which details have to be accurate.

Then use whichever tool you already have access to and see how far it gets you. If ChatGPT handles the work well, use ChatGPT; if Nano Banana does the job, use Nano Banana; and if you keep wanting more visual exploration, Midjourney may deserve a place in the mix.

That is probably the biggest thing my own AI image workflow has taught me. I used to have a Custom GPT dedicated to image creation, and now I can do many of those same jobs in ChatGPT, Midjourney or Nano Banana, so I’m much more interested in preserving the creative process than becoming dependent on the feature I happen to be using today.

The tool will change. Knowing what the marketing needs to communicate and how to turn that idea into a useful visual is the part I actually want to keep.