AI-Built Websites, 5 Oct – 11 Oct 2026: Weekly Scan Report

By AI Website Detector Research · Published · Covers 5 Oct – 11 Oct 2026 (ISO week 2026-W41)

Key takeaways

  • We analysed 11,583 unique websites this week. 26% of them (3,016) showed AI involvement: 476 were built on an AI-native platform (4.1%) and 2,540 used an AI-compatible or AI-augmented stack.
  • That is 0.6 percentage points higher than the week before (25.4%, from 13,215 sites).
  • Next.js was the most detected builder or platform with 2,043 sites (17.6% of the week's scans).
  • Among AI-native builders, Lovable led with 291 sites, ahead of Framer (118).

The week in numbers

Websites analysed
11,583
AI-native builds
476 (4.1%)
AI-assisted / compatible
2,540
Traditional builds
8,567

We analysed 11,583 unique websites this week. 26% of them (3,016) showed AI involvement: 476 were built on an AI-native platform (4.1%) and 2,540 used an AI-compatible or AI-augmented stack. That is 0.6 percentage points higher than the week before (25.4%, from 13,215 sites).

Most detected builders and platforms

Builder / platformSitesShareWeek before
Next.js2,04317.6%2,274
WordPress1,22610.6%1,189
Elementor6395.5%600
Shopify3032.6%253
Lovable2912.5%321
Astro2191.9%264
WooCommerce1701.5%165
PHP1661.4%256
Express.js1401.2%236
Squarespace1301.1%162

Next.js was the most detected builder or platform with 2,043 sites (17.6% of the week's scans). Shopify grew the most week on week, from 253 to 303 sites.

AI-native builders

Among AI-native builders, Lovable led with 291 sites, ahead of Framer (118).

Where the sites are hosted

The most common hosting provider was Cloudflare (4,698 sites).

  • Cloudflare: 4,698 sites
  • Vercel: 1,661 sites
  • Netlify: 400 sites
  • GitHub Pages: 248 sites
  • AWS CloudFront: 133 sites
  • Squarespace: 123 sites

How to read this report

Every figure counts unique domains that visitors and our own checks scanned between 5 October 2026 and 11 October 2026 (UTC). Each domain is counted once per week, bots and blocked or spam domains are removed, and the classification follows the same scoring rules as every report on this site. The sample is made of sites people chose to check, so it is not a random sample of the web: read the shares as a picture of what our users scan, not of all websites.

Want the longer view? The monthly insights and the AI builder market share page put these weekly numbers in context, and the methodology explains what the detector can and cannot see.

How our detection works — see our methodology: AI Influence Score calculation, evidence tiers, and fingerprint signal types.