AI-Built Websites, 26 Oct – 1 Nov 2026: Weekly Scan Report

By AI Website Detector Research · Published · Covers 26 Oct – 1 Nov 2026 (ISO week 2026-W44)

Key takeaways

  • We analysed 13,898 unique websites this week. 24.2% of them (3,357) showed AI involvement: 393 were built on an AI-native platform (2.8%) and 2,964 used an AI-compatible or AI-augmented stack.
  • That is 0.2 percentage points higher than the week before (24%, from 14,109 sites).
  • Next.js was the most detected builder or platform with 2,476 sites (17.8% of the week's scans).
  • Among AI-native builders, Lovable led with 218 sites, ahead of Framer (98).

The week in numbers

Websites analysed
13,898
AI-native builds
393 (2.8%)
AI-assisted / compatible
2,964
Traditional builds
10,541

We analysed 13,898 unique websites this week. 24.2% of them (3,357) showed AI involvement: 393 were built on an AI-native platform (2.8%) and 2,964 used an AI-compatible or AI-augmented stack. That is 0.2 percentage points higher than the week before (24%, from 14,109 sites).

Most detected builders and platforms

Builder / platformSitesShareWeek before
Next.js2,47617.8%2,591
WordPress1,0697.7%1,217
Elementor4933.5%606
Shopify3392.4%312
Astro2591.9%255
Lovable2181.6%213
PHP1641.2%202
Wix1511.1%139
Express.js1381%146
Squarespace1320.9%132

Next.js was the most detected builder or platform with 2,476 sites (17.8% of the week's scans). Shopify grew the most week on week, from 312 to 339 sites.

AI-native builders

Among AI-native builders, Lovable led with 218 sites, ahead of Framer (98).

Where the sites are hosted

The most common hosting provider was Cloudflare (5,618 sites).

  • Cloudflare: 5,618 sites
  • Vercel: 1,889 sites
  • Netlify: 465 sites
  • GitHub Pages: 330 sites
  • AWS CloudFront: 150 sites
  • Squarespace: 125 sites

How to read this report

Every figure counts unique domains that visitors and our own checks scanned between 26 October 2026 and 1 November 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.