Images are the most expensive and time-consuming part of multi-platform content production. This guide covers how to generate brand-consistent AI images for every platform — and the quality standards that make them publishable.
Images are the most time-consuming part of multi-platform content production when done manually. A single campaign requires six to seven images. At freelance designer rates, this represents $150 to $400 in design cost per campaign, plus two to four days of turnaround. AI image generation collapses this to minutes and near-zero marginal cost per image.
What is the central visual element? A person, an object, an abstract concept, a setting? Be specific about composition and framing.
Photography or illustration? Dark or light? Minimal or detailed? Specify the visual language that matches your brand identity.
Brand colors, neutral backgrounds, or conceptual color choices that reinforce the campaign message.
LinkedIn: 1200x627. Instagram: 1080x1350. Facebook: 1200x630. Email header: 600px wide. Each platform needs its own generation.
The most common problem with AI image generation for marketing is inconsistency. Each image looks like it came from a different brand. Brand consistency requires three persistent inputs: a style description that is reused for every campaign, a color palette specification, and composition rules that prevent the system from defaulting to generic stock-photo aesthetics.
AI-generated images require human review before publishing. The approval criteria: Does this represent the brand appropriately? Is the composition professional? Does it avoid unintended implications? LaserPulse allows you to replace any generated image with an uploaded asset in the approval step.
See how LaserPulse generates seven platform-specific images per campaign run — from one creative brief, sized correctly for every channel.