TL;DR: AI-generated websites look stunning but often ship with basic technical issues that hurt their performance and accessibility. Here's what I discovered.
Vibe-coded websites are having a moment. Built with AI tools like Loveable, v0, Bolt, Mocha, and others, these sites showcase what's possible when you can generate beautiful designs in minutes instead of weeks.
The aesthetic quality is genuinely impressive – clean layouts, modern typography, thoughtful color schemes (sometimes basic though), and smooth interactions that feel professionally crafted. AI has democratized design in a way that seemed impossible just a few years ago.
But after running 100 of these AI-generated websites through Cheeeck, I noticed a pattern of technical oversights that could be easily avoided.
The Analysis Process
I collected URLs from the landing pages of popular vibe-coding services – the showcase sites they use to demonstrate their capabilities – plus additional examples from Twitter that had the telltale signs of AI generation.
Then I put them through Cheeeck to see what technical issues might be hiding behind the beautiful interfaces.
The Most Common Issues
The OpenGraph Problem
The majority of sites had incomplete or missing OpenGraph metadata. When someone shares your site on social media, these tags control how it appears – the preview image, title, and description that determine whether people click through.
Why it matters: Your site might look perfect when visited directly, but if it displays poorly when shared on Twitter, LinkedIn, or Discord, you're missing opportunities for organic discovery and social proof.
Missing Alt Text for Images
Accessibility was a major blind spot. Many sites had multiple images with no alt attributes, making them impossible for screen readers to describe to visually impaired users.
Why it matters: Alt text serves dual purposes – it makes your site accessible to users with visual impairments and helps search engines understand and index your images. Without it, you're excluding users and missing out on image search traffic.
Broken Typography Hierarchy
Despite having beautiful visual typography, many sites had poor semantic structure. Heading tags were used inconsistently or skipped entirely, with sites jumping from H1 to H4 or using divs with custom styling instead of proper heading elements.
Why it matters: Search engines rely on heading hierarchy to understand your content structure and context. When this is broken, your content becomes harder to index and rank properly.
Default Favicons and Outdated Content
A surprising number of sites still displayed default favicons or placeholder icons. Even more noticeable were sites showing 2024 copyright dates when we're now in 2025, particularly common among Loveable-generated sites that hadn't been customized.
Why it matters: These details might seem minor, but they signal to users whether a site is actively maintained and professionally managed. They affect credibility and trust.
Mobile Experience Issues
While most sites looked great on desktop, mobile experiences often suffered. Missing viewport meta tags, touch targets that were too small (or too big), and layouts that didn't adapt properly to smaller screens were common problems.
Why it matters: With mobile traffic dominating web usage, a poor mobile experience directly impacts user engagement and search rankings. Google's mobile-first indexing means your mobile version is what gets evaluated for search results.
Performance Bottlenecks
Many sites loaded slowly due to unoptimized images, inefficient code, or missing performance optimizations. Large hero images and uncompressed assets were particularly common issues.
Why it matters: Site speed affects both user experience and search rankings. Users expect fast loading times, and search engines factor performance into their ranking algorithms.
SEO Fundamentals
Basic SEO elements were often incomplete – missing or generic meta descriptions, poor title tag optimization, and lack of structured data to help search engines understand the content.
Why it matters: Without proper SEO foundation, even the most beautiful sites struggle to gain organic visibility. Good technical SEO is essential for discoverability.
The Bigger Picture
This isn't meant as criticism of AI design tools – they're genuinely revolutionary and have made professional-quality design accessible to everyone.
The issue is that these tools excel at the creative and visual aspects but sometimes overlook the technical foundation that makes websites perform well in the real world. It's the difference between creating something beautiful and creating something that works beautifully.
Making AI-Generated Sites Complete
The good news is that these issues are entirely fixable. With the right knowledge or tools, you can maintain the aesthetic excellence of AI-generated designs while ensuring they're technically sound.
This is exactly why I built Cheeeck – to help bridge the gap between beautiful design and technical execution. It provides a comprehensive analysis of your site's technical health in seconds, identifying issues that might not be visible but could impact performance, accessibility, and discoverability.
The Future of Vibe-Coded Sites
AI design tools will only get better at handling both the creative and technical aspects of web development. But for now, understanding these common pitfalls can help you ship sites that don't just look professional – they perform professionally too.
The web is better when it's both beautiful and accessible, fast and functional, creative and technically sound. AI has given us incredible tools for achieving the first part – we just need to make sure we don't forget about the second.
Want to check how your site measures up? Run it through Cheeeck for a complete technical analysis in 10 seconds. Whether AI-generated or hand-coded, every site deserves a solid technical foundation.
Have you noticed other patterns in AI-generated websites? What technical details do you think these tools should focus on improving?
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