Monthly Report

AI Website Insights: April 2026

In April 2026, AI Website Detector scanned 2,621 unique websites and classified each one based on the technology stack, signals, and fingerprints detected in its code. Of those, 1,048 (40%) showed clear evidence of AI involvement — either through an AI website builder platform or AI-assisted development practices.

Compared to Mar 2026, total scan volume increased by 1,603 websites. The share of AI-built sites held steady.

Next.js remained the most commonly detected technology this month, appearing on 450 scanned websites — representing 31% of all builder detections.

Websites analyzed

2,621

+1,603 vs last month

AI-built

84

3% of total

AI-assisted

964

37% of total

Human/CMS

1,573

60% of total

Month-over-Month Comparison

Total Scans

2,621vs 1,018

1603

AI-Built %

40%vs 40%

= 0 pp

Human/CMS %

60%vs 60%

= 0 pp

Stack Breakdown

37%
60%
AI-native build3% (84 sites)AI-assisted dev37% (964 sites)Human / CMS60% (1,573 sites)

Key Findings — April 2026

  • 12,621 unique websites were analyzed in April 2026.
  • 21,048 (40%) showed AI involvement — via an AI website builder or AI coding assistance.
  • 3The most detected technology was Next.js, appearing on 450 sites (31% market share).
  • 484 sites were classified as fully AI-native builds.
  • 5AI-native builders (Lovable, Framer, Webflow and others) collectively powered 130 sites this month.
  • 6AI adoption held steady at 40% compared to last month.

Builder Market Share

Distribution of detected technologies across 63 unique builders and CMS platforms in April 2026. Percentages are share of all sites with a detected builder (not total scans).

AI-Native Builders

130

9% of builder detections · 9 platforms

CMS / Traditional

359

24% of builder detections · 10 platforms

1
Next.js
Next.js
31%
2
WordPress
WordPress
16%
3
Elementor
Elementor
11%
4
HSTS
HSTS
5%
5
Lovable
Lovable
4%
7
Shopify
Shopify
4%
8
Ghost
Ghost
3%
10
Framer
Framer
2%

AI-native builder CMS / traditional Framework / other

Platform Analysis

Next.js led all detected technologies in April 2026 with 450 sites — a 31% share of all builder detections. Its continued dominance is driven by an enormous plugin ecosystem, hosting availability, and a massive global install base that compounds monthly.

WordPress ranked second with 236 sites (16%). Both platforms represent traditional development approaches, suggesting AI adoption, while real, is still concentrated in specific segments.

Rounding out the top three, Elementor appeared on 160 sites, reinforcing the diversity of approaches being used to build production websites today.

AI Builder Spotlight

9 AI-native builder platforms appeared in this month's detections, collectively powering 130 websites (9% of all detected builder sites).

Lovable led the AI-native category with 62 sites. Framer followed with 29, and Webflow with 21. These platforms are winning new site creation — particularly from non-technical founders, solopreneurs, and small businesses who need a production website without a developer.

AI-native builders: sites created using AI website builder platforms that generate design, layout, and code from prompts or AI-driven configuration — not traditional hand-coded or CMS-based deployments.

What This Trend Suggests

AI adoption held steady at 40% month-over-month, suggesting a period of consolidation rather than rapid acceleration. The underlying mix between AI-native builds and AI-assisted development continues to evolve.

For developers and businesses choosing a tech stack today: the data shows AI tools are becoming the default, not the exception. Whether through AI website builders for rapid deployment or AI coding assistants for custom builds, the question is no longer if AI is part of your workflow — it's which tool fits your use case.

What This Data Shows

Every website in this report was scanned by real users of AI Website Detector — people actively investigating tech stacks of live production websites. This makes the dataset uniquely biased toward websites that are being researched, which tends to skew toward higher-traffic or professionally built sites.

The 40% AI involvement figure means that a significant and growing share of websites show detectable AI involvement. AI-native builds (3%) are sites deployed via platforms like Framer, Webflow, Lovable, or Durable — tools where AI generates the site structure, design, and often the copy. AI-assisted builds (37%) are sites where AI coding tools were used during development but a traditional stack was deployed.

The remaining 60% of human/CMS sites are primarily WordPress, Shopify, and other traditional CMSes where no strong AI signals were detected. Note that some of these sites may still use AI for content generation — our detection focuses on the build stack, not content.

How we detect April 2026 verdicts — see our methodology: AI Influence Score calculation, evidence tiers, and fingerprint signal types.

Latest AI Websites

1,048 total

Domains classified as AI-built or AI-assisted in April 2026. Click any domain to view its full tech stack report.

Latest Human/CMS Websites

1,573 total

Domains that appear primarily human-engineered or CMS-based in April 2026.

Most Detected Builders — Full Ranking

All builder and CMS technologies detected this month, ranked by number of websites. Each links to its builder detection page.

Frequently Asked Questions

What counts as an "AI-built" website?

An AI-built website is one deployed via an AI website builder platform — tools like Framer, Webflow, Lovable, Durable, or 10Web. These platforms use AI to generate the site layout, design, copy, and sometimes code. Detection is based on fingerprints in the site's HTML, scripts, DNS records, and HTTP headers.

How is AI-assisted development different from AI-built?

AI-assisted development refers to sites where a traditional tech stack (React, Next.js, Vue, etc.) was deployed, but signals suggest AI coding tools were used during development. These sites weren't created by an AI builder, but AI played a significant role in writing the code. The stack is conventional; the workflow was AI-augmented. Learn more on the AI detection explainer.

How accurate are these classifications?

Classifications are based on a combination of fingerprint matching, confidence scoring, and signal weighting. Accuracy is high for AI-native builder platforms (>95%), where the platform leaves distinctive code signatures. AI-assisted detection is inherently less precise since AI coding tools leave fewer traces. See the methodology page for full details.

Are these the same websites scanned every month?

No. The dataset reflects websites actually scanned by users of AI Website Detector during April 2026. Each month brings a different set of scanned domains. Sites scanned in multiple months may appear in multiple reports. The data is organic — driven by what our users are researching via the tech stack detector.

Can I use this data in a report or article?

Yes. This data is freely available. Attribution to AI Website Detector is appreciated but not required. For bulk data or API access, see our developer docs.

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April 2026 AI Website Insights — Real Scan Data | AI Website Detector