My Testing Setup
I used Midjourney V7 (midjourney.com, Basic plan at $10/mo) over six weeks across real marketing projects: social media visuals for LinkedIn and Twitter, hero images for three blog posts, concept mockups for two ad campaigns, and background textures for a landing page redesign.
Real campaigns. Real deadlines. Visuals that went live, not just experiments.
Two specific examples: I generated a LinkedIn carousel header image in four prompts — total time 12 minutes, used it the same day. I also used Midjourney to mock up three different visual directions for a paid ad campaign before briefing a designer, which cut the briefing call from 45 minutes to 15.
Pricing: Basic plan at $10/mo gives around 200 image generations. Standard at $30/mo gives more GPU time and faster generation. For marketing use, Basic is enough to start — upgrade if you are generating daily.
1. Social Media Visuals That Do Not Look AI-Generated
V7 is a step change from earlier versions on realism and composition. For abstract or conceptual visuals — a person thinking at a desk, a product metaphor, a mood image for a thought leadership post — the output looks professional enough to publish without a designer touching it.
I needed a LinkedIn header image for a post about decision fatigue. Prompted for a minimal, clean illustration of a person at a crossroads, muted blue palette, editorial style. Fourth variation was publish-ready. No editing, no Photoshop.
The key is being specific about style. "Marketing visual" produces generic results. "Flat vector illustration, muted palette, editorial, negative space, no text" produces something usable. Prompt quality matters more in V7 than in any previous version.
2. Ad Concept Mockups Before Briefing a Designer
This is the use case I did not expect to value as much as I do. Before V7, briefing a designer meant describing a visual concept in words and hoping they interpreted it correctly. Now I generate three or four rough visual directions in Midjourney first, then show the designer what I mean instead of describing it.
I did this for a campaign targeting late-stage trial users. Generated four concept directions — two abstract, two literal — in about 30 minutes. Brought them to the briefing call. The designer immediately knew which direction to develop and which elements to keep. The brief that used to take 45 minutes took 12.
The Midjourney output never went live. It did not need to. Its job was communication, not production.
3. Blog Post Header Images at Scale
Every blog post needs a header image. Stock photos look like stock photos. Custom illustrations take time. Midjourney fills the gap.
I generate blog headers in a consistent style — I have a saved prompt template that specifies the aesthetic, color palette, and composition rules — and apply it to each new post. Takes five minutes per post. The headers are visually coherent across the blog because they all start from the same prompt base.
The limitation: text. Midjourney V7 is better at text than previous versions but still unreliable for anything beyond a word or two. Any header that needs a title or label needs to go through Canva or Figma afterward. Factor that into your time estimate.
4. How It Compares to DALL-E 3
DALL-E 3 is built into ChatGPT and easier to access. Midjourney V7 produces better images, full stop — more coherent compositions, better lighting, more professional aesthetic by default.
For quick, low-stakes visuals where you are already in ChatGPT, DALL-E 3 is convenient enough. For anything going into a paid ad, a landing page, or a content series that needs visual consistency, Midjourney is worth the separate login. The quality gap is visible and it matters for marketing work.
5. Where Midjourney Does Not Work for Marketing
Anything with your product in it. Midjourney cannot generate accurate screenshots, UI mockups, or images of a specific product it has never seen. If your marketing relies on showing what your actual product looks like, this tool does not help.
Brand consistency is also a challenge. Midjourney does not have memory. Getting the same character, setting, or visual style across 20 images requires careful prompt engineering and still produces variation. If your brand needs a specific mascot or recurring visual element, you will fight the tool constantly.
And logos. Do not try to generate logos in Midjourney. It cannot reliably produce clean vector-ready output and the text rendering is still inconsistent enough to waste your time.
How to Get Better Results
Build a style prompt you reuse every time. Mine is 18 words specifying aesthetic, palette, and composition. Paste it at the end of every prompt. Your outputs become visually consistent within a week.
Generate four variations, not one. The first image is rarely the best one. V7's variation quality is high enough that one of the four is almost always usable.
Use aspect ratios intentionally. Add --ar 16:9 for LinkedIn headers, --ar 1:1 for social squares, --ar 9:16 for Stories. Getting the ratio right in the prompt saves cropping time later.
When something is close but not right, use the Vary (Subtle) option instead of regenerating from scratch. It preserves what is working and adjusts what is not.
Bottom Line
Midjourney V7 at $10/mo is worth it for any marketing team producing more than five visuals a week. It will not replace a designer for brand-critical work. It will eliminate the queue for everything else.
If you want something that lives inside a tool you already use, DALL-E 3 inside ChatGPT is the easier starting point. If visual quality matters for what you are publishing, Midjourney is the better tool and the difference shows in the output.
Start with Basic. Generate 50 images. You will know within two weeks whether it fits your workflow.
This post first appeared on saas.pet — daily AI tools ranked by community votes.
