AI-Built Websites, 19 Oct – 25 Oct 2026: Weekly Scan Report

By AI Website Detector Research · Published · Covers 19 Oct – 25 Oct 2026 (ISO week 2026-W43)

Key takeaways

  • We analysed 14,109 unique websites this week. 24% of them (3,387) showed AI involvement: 334 were built on an AI-native platform (2.4%) and 3,053 used an AI-compatible or AI-augmented stack.
  • That is 2.4 percentage points lower than the week before (26.4%, from 11,379 sites).
  • Next.js was the most detected builder or platform with 2,591 sites (18.4% of the week's scans).
  • Among AI-native builders, Lovable led with 213 sites, ahead of Framer (95).

The week in numbers

Websites analysed
14,109
AI-native builds
334 (2.4%)
AI-assisted / compatible
3,053
Traditional builds
10,722

We analysed 14,109 unique websites this week. 24% of them (3,387) showed AI involvement: 334 were built on an AI-native platform (2.4%) and 3,053 used an AI-compatible or AI-augmented stack. That is 2.4 percentage points lower than the week before (26.4%, from 11,379 sites).

Most detected builders and platforms

Builder / platformSitesShareWeek before
Next.js2,59118.4%2,276
WordPress1,2178.6%987
Elementor6064.3%452
Shopify3122.2%158
Astro2551.8%236
Lovable2131.5%204
PHP2021.4%176
WooCommerce1551.1%109
Express.js1461%132
Wix1391%116

Next.js was the most detected builder or platform with 2,591 sites (18.4% of the week's scans). Next.js grew the most week on week, from 2,276 to 2,591 sites.

AI-native builders

Among AI-native builders, Lovable led with 213 sites, ahead of Framer (95).

Where the sites are hosted

The most common hosting provider was Cloudflare (5,701 sites).

  • Cloudflare: 5,701 sites
  • Vercel: 1,965 sites
  • Netlify: 466 sites
  • GitHub Pages: 346 sites
  • AWS CloudFront: 175 sites
  • Squarespace: 118 sites

How to read this report

Every figure counts unique domains that visitors and our own checks scanned between 19 October 2026 and 25 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.