AI Website Detector
Detect AI-built websites and identify their technology stack
The rise of AI website builders has sparked a lot of debate.
Are AI-generated websites becoming mainstream? Which builders are actually being used? Is traditional web development being replaced?
To answer these questions, we analyzed 118,775 real website scans using AI Website Detector.
The results reveal a fascinating picture of how websites are being built in 2026.
Key Findings
Over the analyzed period, we scanned:
118,775 websites
58 different website builders and technologies
Thousands of unique domains across multiple industries
Websites built using traditional, AI-assisted, and fully AI-generated workflows
Website Classification Breakdown
Our detection engine classified websites into three categories:
CategoryWebsitesShareHuman-Engineered68,24257%AI-Assisted41,96835%AI-Built8,5657%
The most important takeaway:
More than 42% of scanned websites show some level of AI involvement in their creation process.
While fully AI-generated websites remain a minority, AI-assisted development has clearly entered the mainstream.
Human Developers Still Lead
Despite concerns that AI will replace web developers, our data suggests otherwise.
Traditional development methods remain dominant, accounting for 57% of all detected websites.
Developers continue to rely on established frameworks, CMS platforms, and custom engineering practices to build production-grade websites.
However, AI is increasingly becoming part of the workflow.
AI-Assisted Development Is Becoming the Standard
The largest growth area is not fully AI-generated websites.
It's AI-assisted development.
At 35% of all detected websites, AI-assisted workflows now represent a substantial portion of modern web development.
These websites are typically built by human developers using tools that incorporate AI capabilities, including:
AI coding assistants
AI-powered design tools
Modern frameworks with AI integrations
AI-generated components and content
This hybrid approach appears to be the preferred path for many teams.
The Most Popular Technologies
Among all scanned websites, several technologies stood out.
Top Technologies Detected
Next.js — 163 sites
Vercel — 67 sites
WordPress — 63 sites
Elementor — 41 sites
Lovable — 36 sites
Netlify — 28 sites
Tailwind CSS — 27 sites
Ghost — 20 sites
Astro — 12 sites
Shopify — 11 sites
One trend is immediately clear:
Modern JavaScript frameworks continue to gain market share.
Next.js was the most frequently detected framework in our dataset, reinforcing its position as a leading choice for startups, SaaS products, and modern web applications.
Lovable Leads the AI Builder Market
Among dedicated AI website builders, one platform emerged as the clear leader.
AI Builder Adoption Rankings
Lovable — 307 sites
Framer — 62 sites
Webflow — 43 sites
Wix AI — 38 sites
Base44 AI — 31 sites
Replit AI — 16 sites
Hostinger AI — 13 sites
Bolt — 9 sites
v0 by Vercel — 6 sites
Figma AI — 5 sites
Lovable's lead is significant.
Based on detected domains, Lovable accounts for nearly five times as many identified AI-built websites as the second-ranked platform.
This suggests that AI-native website creation tools are beginning to move beyond experimentation and into real-world adoption.
Hosting Trends
Infrastructure choices also revealed interesting patterns.
Top Hosting Providers
Cloudflare — 2,594 sites
Vercel — 1,102 sites
Netlify — 327 sites
GitHub Pages — 165 sites
AWS CloudFront — 73 sites
Google Cloud — 64 sites
AWS S3 — 62 sites
Squarespace — 54 sites
Cloudflare remains the dominant infrastructure provider among scanned websites, followed by Vercel, which benefits from the growing popularity of Next.js applications.
AI Websites Are No Longer Experimental
One of the most surprising discoveries was the variety of websites built using AI tools.
We detected AI-generated websites across:
SaaS startups
Marketing agencies
Consulting businesses
Landing pages
Ecommerce projects
Internal tools
Side projects
AI-generated websites are no longer limited to hobby projects or demos.
Businesses are actively using them in production.
How We Detect AI-Built Websites
Detecting AI-generated websites is more difficult than many people assume.
Modern AI builders often remove obvious fingerprints when websites are published to custom domains.
To classify websites accurately, AI Website Detector analyzes:
HTML structure
Scripts and assets
Meta tags
Deployment patterns
CDN signatures
HTTP headers
Framework fingerprints
Builder-specific indicators
Multiple signals are combined to determine whether a website is AI-Built, AI-Assisted, or Human-Engineered.
What Comes Next?
The web is undergoing one of the biggest shifts since the rise of no-code platforms.
Our analysis of 118,775 websites suggests that:
Traditional development remains strong
AI-assisted development is growing rapidly
Fully AI-generated websites are gaining traction
Modern frameworks continue to dominate
AI builders are becoming legitimate production tools
The most important trend isn't that AI is replacing developers.
It's that AI is becoming another tool in the developer toolkit.
And based on the data, that transformation is already well underway.
Data source: AI Website Detector platform analysis of 118,775 website scans, covering 58 builders, frameworks, CMSs, hosting providers, and AI website creation tools.
1 Comment
Interesting data.
What stood out to me isn't the 7% fully AI-built number.
It's the 35% AI-assisted number.
That feels less like AI replacing development and more like AI becoming part of the default workflow, similar to how Git, Stack Overflow, and cloud hosting eventually stopped being "special" tools and just became normal.