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AI & Enterprise
A criticism has emerged that the biggest reason the output of artificial intelligence (AI) website builders looks uniform lies in how users provide inputs, rather than the tools themselves.
On April 8, local time, IT outlet TechRadar reported that to get results at an advanced design level, users should write prompts with rich context and specific requirements instead of vague instructions.
The key is not to leave everything to AI at once. Many users type requests such as “make a good-looking website,” but that approach can easily lead to results that are hard to distinguish from other AI-generated sites. A more effective method is to set the purpose and core functions first and build the site by sections, rather than creating the entire site in one go.
A prompt should include at least 5 elements: the site’s purpose and target users, must-have functions, visual design preferences, and data and external integration requirements. Rather than writing, “Make a professional website for our company,” it is better to specifically ask for a SaaS (software as a service) landing page for project management software aimed at remote teams, and request a product demo video, a 3-column feature overview, a testimonials slider, a monthly and annual toggle pricing table, and a newsletter sign-up box. Adding guidance on a layout with ample whitespace, suitable fonts and a color scheme makes the direction of the output clearer.
It is also important to secure design references to start from. Even experts do not create outstanding design entirely from scratch by themselves. They set direction by consistently looking at award winners and industry trends. For examples centered on finished, real websites, Awwwards is useful, while Dribbble and Behance help when looking for color combinations, icons and details that appear during screen transitions. For landing pages, Lapa.Ninja is suitable for quickly finding examples by industry.
Understanding design principles themselves also affects prompt quality. Learning platforms such as Flux Academy and Designlab cover fundamentals such as visual hierarchy, responsive design and style development. If users understand these principles, they can request solutions in specific design language about what problem to solve and how, rather than asking for a vague aesthetic preference.
Choosing the tool also matters. Framer was assessed as tending to produce results that look designer-made, with strong understanding of design spacing, margins and a modern aesthetic. By contrast, Wix and Squarespace are options better suited to users who are not familiar with AI web design. Since each builder can respond differently even to the same request, users should test tools themselves to find what matches their prompt style.
The report also introduced assistive tools that help with prompt writing. God of Prompt provides large volumes of prompt templates dedicated to ChatGPT, Gemini, Midjourney and Claude, helping users learn sentence structures and phrasing. For visual elements, PromptHero provides examples of prompts for image generation, allowing users to compare what sentences lead to what visual outcomes. Figma’s AI features and design resources were also presented as references for understanding designers’ and product teams’ real workflows.
Common traits of good prompts are also relatively clear. The report said users should use specific expressions, such as “a 3-column grid with a prominent hero section” for layout, “bold headline fonts and regular body text” for typography, specific color codes or brand standards for color, and ample space between sections for whitespace. Abstract and vague expressions, by contrast, are more likely to make outputs ordinary.
Users should not expect the first output to be perfect. The most successful approach is not to specify everything at the start, but to first build a foundation with the site’s core purpose and 2 to 3 essential functions, then iteratively adjust spacing, change colors and reorganize section order with follow-up prompts. It means AI website creation should be seen not as a one-off input, but as a gradual editing process.
Ultimately, gaps in AI website builder quality cannot be explained by platforms alone. The conclusion was that users can achieve results beyond template level only when they first study advanced design examples, repeatedly refine prompts with detailed conditions, and use assistive tools and reference materials together.
This content was produced with the assistance of AI and reviewed by our editorial team. You can read the original version in Korean here.
