miketromba SaaS AI Imagery: Prompt Engineering for Marketing Websites
Generate cohesive, branded AI image assets for SaaS marketing websites using structured prompt engineering and style consistency techniques.
The Master Prompt Architecture
Every production-quality AI image prompt follows this formula:
SUBJECT + ENVIRONMENT + COMPOSITION + LIGHTING + STYLE + CAMERA + QUALITY + NEGATIVES
Simplified 4-Element Formula (Quick Start)
[Image Type] + [Subject] + [Background Setting] + [Style]
Example: A product illustration of a dashboard interface floating in an abstract gradient space, clean minimal glassmorphism style with soft shadows
Why Structure Matters
- Text encoders process tokens sequentially; earlier words get more attention weight
"a red car in a forest"produces different results than"a forest with a red car"- Lead with image type and primary subject, then layer supporting details
- Specificity beats generic quality tags (
"pores visible on skin">"highly detailed")
Prompt Block System for Brand Consistency
Define reusable blocks that get prepended/appended to every prompt. This is the single most important technique for cohesive visual identity across all generated assets.
1. Style Base Block
STYLE BASE: "[Rendering style], [camera/quality descriptor]."
Choose ONE and use everywhere:
- Photorealistic:
"Professional DSLR photography, sharp detail, natural textures, realistic lighting" - Editorial:
"High-end magazine photography, styled compositions, intentional color grading" - 3D Rendered:
"Clean 3D render, soft materials, studio-lit product visualization, clay-morphic" - Illustrative:
"Digital illustration, clean lines, flat color areas, vector-like quality" - Abstract/Surreal:
"Smooth glass-like surfaces, layered translucency, subtle refraction, digital sculpture"
2. Color Direction Block
COLOR: "Color palette: [primary with hex], [secondary with hex], [neutrals].
Avoid [unwanted colors]."
Use descriptive language alongside hex codes since AI models respond to descriptions.
3. Lighting Block
LIGHTING: "[Type] from [direction], [color temp]. [Shadow quality].
No [unwanted lighting]."
| Lighting Style | Prompt Language | Brand Feel |
|---|---|---|
| Soft natural | "Soft diffused natural light, warm color temperature" |
Approachable, warm |
| Studio professional | "Professional studio lighting, three-point setup, clean shadows" |
Corporate, polished |
| Golden hour | "Golden hour sunlight, long warm shadows, backlit glow" |
Aspirational, premium |
| Flat even | "Even flat lighting, minimal shadows, bright and clean" |
Modern, tech, minimal |
4. Composition Block
COMPOSITION: "[Shot type], [subject placement], [depth of field],
[perspective]. [Negative space for text overlay]."
5. Negative/Exclusion Block
EXCLUSIONS: "No: [unwanted elements, styles, artifacts]."
Always include at minimum: "No: cartoonish elements, text, watermarks, logos, cluttered backgrounds"
Assembly Order
[Subject Description] + [STYLE BASE] + [COLOR] + [LIGHTING] + [COMPOSITION] + [EXCLUSIONS]
The subject changes per image. Everything else stays constant. That is how you get consistency.
Style Consistency Techniques
Technique 1: Master Prompt Template
Create a reusable template with a {SUBJECT} variable:
"{SUBJECT}. [Your style base]. Color palette dominated by [your colors].
[Your lighting]. [Your composition]. No: [your exclusions]."
Swap only the subject for each new image. All other blocks remain identical.
Technique 2: Midjourney Style References (--sref)
- Use
--sref [URL]to apply the visual style of an existing image to new generations - Use
--sref [code]with 10-digit style codes from Midjourney's style library - Use
--sw [0-1000]to control style influence strength (default 100) - Use
--sref randomto discover new styles, then reuse the generated code - Stick to ONE sref code across all images in a campaign for consistency
- Combine with
--sv 7(default) for latest style reference algorithm
Technique 3: Personalization Profiles
Midjourney personalization (--p) applies learned aesthetic preferences. Create dedicated profiles for your brand by selecting images that match your desired look.
Technique 4: Seed Locking
Use --seed [number] in Midjourney to get reproducible starting points. Same seed + similar prompt = more consistent outputs.
Technique 5: Reference Image Extraction
- Collect 3-5 reference images that nail your desired brand look
- Feed them to an AI and ask it to extract/articulate the style definition
- Use that extracted description as your permanent style base block
Where to Place AI Images on a SaaS Website
See placement-guide.md for detailed placement strategies.
Quick reference:
| Section | Image Type | Purpose |
|---|---|---|
| Hero | Abstract 3D / surreal / metaphorical | Communicate value prop emotionally |
| Features | Spot illustrations (one per feature) | Clarify each feature's benefit |
| How It Works | Schematic/blueprint style | Show process flow visually |
| Social Proof | Lifestyle/editorial photos | Build trust and relatability |
| Pricing | Premium 3D / polished icons | Signal value, justify pricing |
| CTA sections | Character-driven / aspirational | Drive action with emotion |
| Blog headers | Thematic illustrations | Set context for content |
Six SaaS Illustration Styles That Convert
| Style | Best Signal | Ideal Audience | Top Placement |
|---|---|---|---|
| Tactile Tech (vector + organic texture) | "Human and capable" | Fintech, Security, DevOps | Hero, About |
| Blueprint (monolinear, schematic) | "Precise and reliable" | Engineering, PM tools | How It Works, Features |
| Spot Illustrations (small, consistent) | "Organized and clear" | All SaaS products | Feature cards, Pricing |
| Abstract Surreal | "Innovative and seamless" | AI, Automation, Analytics | Hero background, Headers |
| High-Contrast 3D (clay-morphic, glossy) | "Premium and polished" | Enterprise, Design tools | Hero, Pricing |
| Character-Driven | "Approachable and memorable" | HR, Education, Community | Everywhere (system) |
Additional Resources
- For 30+ ready-to-use prompt examples, see prompt-examples.md
- For in-depth style consistency techniques, see style-consistency.md
- For detailed image placement strategy, see placement-guide.md
Model-Specific Tips
Midjourney: Thrives on descriptive natural language + photographic terminology. Use --ar, --stylize, --sref, --style raw for control. Words at prompt start get most weight.
DALL-E / GPT Image Gen: Favors conversational, narrative descriptions. Best for exact text rendering and spatial composition. Fewer technical camera keywords needed.
Flux: Strong at photorealism and prompt adherence. Benefits from explicit camera/lens specifications and structured prompts.
Stable Diffusion (SDXL/SD3): Requires strict syntax, strong negative prompts, and keyword weighting (keyword:1.5). Pair with ControlNet for pose/depth control.
Iteration Workflow
- Pass 1 (Core Idea): Test subject + environment with minimal detail
- Pass 2 (Composition): Add framing, angle, and spatial relationships
- Pass 3 (Lighting + Style): Layer in your brand's lighting and style blocks
- Pass 4 (Polish): Add camera specs, textures, negative prompts, parameters, run variations