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AI Website Insights: July 2026

In July 2026, AI Website Detector scanned 1,606 unique websites and classified each one based on the technology stack, signals, and fingerprints detected in its code. Of those, 658 (41%) showed clear evidence of AI involvement — either through an AI website builder platform or AI-assisted development practices.

Compared to Jun 2026, total scan volume decreased by 4,220 websites. The share of AI-built sites held steady.

Next.js remained the most commonly detected technology this month, appearing on 249 scanned websites — representing 24% of all builder detections.

Websites analyzed

1,606

-4,220 vs last month

AI-built

91

6% of total

AI-assisted

567

35% of total

Human/CMS

948

59% of total

Month-over-Month Comparison

Total Scans

1,606vs 5,826

4220

AI-Built %

41%vs 41%

= 0 pp

Human/CMS %

59%vs 59%

= 0 pp

Stack Breakdown

35%
59%
AI-native build6% (91 sites)AI-assisted dev35% (567 sites)Human / CMS59% (948 sites)

Key Findings — July 2026

  • 11,606 unique websites were analyzed in July 2026.
  • 2658 (41%) showed AI involvement — via an AI website builder or AI coding assistance.
  • 3The most detected technology was Next.js, appearing on 249 sites (24% market share).
  • 491 sites were classified as fully AI-native builds.
  • 5AI-native builders (Lovable, Framer, Webflow and others) collectively powered 122 sites this month.
  • 6AI adoption held steady at 41% compared to last month.

Builder Market Share

Distribution of detected technologies across 53 unique builders and CMS platforms in July 2026. Percentages are share of all sites with a detected builder (not total scans).

AI-Native Builders

122

12% of builder detections · 7 platforms

CMS / Traditional

245

23% of builder detections · 8 platforms

1
Next.js
Next.js
24%
2
WordPress
WordPress
14%
4
Lovable
Lovable
6%
5
Ghost
Ghost
6%
6
Astro
Astro
4%
9
Shopify
Shopify
3%
10
Framer
Framer
2%

AI-native builder CMS / traditional Framework / other

Platform Analysis

Next.js led all detected technologies in July 2026 with 249 sites — a 24% 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 143 sites (14%). 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 93 sites, reinforcing the diversity of approaches being used to build production websites today.

AI Builder Spotlight

7 AI-native builder platforms appeared in this month's detections, collectively powering 122 websites (12% of all detected builder sites).

Lovable led the AI-native category with 64 sites. Framer followed with 25, and Webflow with 20. 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 41% 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 41% AI involvement figure means that a significant and growing share of websites show detectable AI involvement. AI-native builds (6%) 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 (35%) are sites where AI coding tools were used during development but a traditional stack was deployed.

The remaining 59% 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 July 2026 verdicts — see our methodology: AI Influence Score calculation, evidence tiers, and fingerprint signal types.

Latest AI Websites

658 total

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

Latest Human/CMS Websites

948 total

Domains that appear primarily human-engineered or CMS-based in July 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 July 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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