Ailiniyazi Maimaiti
Founder, AI Website Detector · 2026-03-01
Every week, thousands of people use AI Website Detector to find out what platform powers a website. We aggregate that scan data into a real-time picture of the website builder landscape — which platforms are gaining, which are declining, and how the rise of AI-native builders is reshaping the market.
This report covers detection data from the past 12 months. We analyze scan volume by platform, estimate market share within detected categories, and highlight the patterns that most surprised us.
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The AI-native category — builders where artificial intelligence is the primary creation mechanism — grew faster than any other segment in our database. These are platforms where a user describes what they want and the AI generates a deployable site.
| Builder | Category | Trend |
|---------|----------|-------|
| Lovable | AI full-stack app | ↑ Fastest growing |
| Framer | Design-first AI site | ↑ Growing |
| Gamma | AI presentation/doc | ↑ Strong growth |
| Durable | AI small business site | → Stable leader |
| Bolt | AI full-stack app | ↑ Growing |
| Wix AI | AI general builder | → Stable |
| Dora AI | AI animated site | ↑ Growing |
| Hostinger AI | AI site + hosting | ↑ Growing |
The most notable shift: Lovable and Bolt — both full-stack AI app builders — emerged as a distinct category from design-first tools like Framer. In 2024, people compared Framer vs Webflow. In 2026, they compare Lovable vs Bolt. The questions have changed because the product category has changed.
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The single most interesting dynamic in our detection data is the Lovable vs Bolt story.
Both platforms let users generate complete web applications — not just landing pages — from a text prompt. Lovable uses a React + Supabase stack. Bolt uses StackBlitz's WebContainer technology to run a full Node.js environment in the browser.
Our data shows Lovable ahead in raw detection volume, but Bolt growing faster among developer-identified user agents (professional scanning tools, agency audits). This tracks with the product positioning: Lovable attracts non-technical founders, Bolt attracts technical developers. Two adjacent audiences producing different but overlapping scan patterns.
What neither company existed as five years ago. The entire "AI full-stack app builder" category is new.
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WordPress, Shopify, Squarespace, and Wix remain the most detected platforms in absolute terms — simply because they have been accumulating sites for 15+ years and churn is slow.
What we observe is growth deceleration rather than decline:
This matters for interpreting market share. A rising AI builder share does not mean WordPress is collapsing — it means the new site population skews AI-native while the existing population is legacy-heavy.
The exception worth watching: 10Web (AI-powered WordPress hosting) shows growth, suggesting some of the new-site demand for AI tooling is landing in the WordPress ecosystem rather than leaving it.
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Every six months, someone writes a "Webflow killer" story. Framer was supposed to displace Webflow. Then Lovable. Then Bolt.
Our detection data doesn't show Webflow shrinking. What we observe instead:
The pattern suggests Webflow has captured a specific, sticky customer segment: web design agencies and in-house design teams at mid-market companies. This audience does not switch platforms quickly, has invested in Webflow expertise, and values the CMS workflow over AI generation speed.
The Webflow "killer" scenario requires winning the agency customer — a very different sale than winning a solo founder. No AI builder is close to that yet.
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If you asked in 2023 what a "presentation site" was, the answer would have been unclear. Today, it is a distinct and growing format: an interactive, web-hosted document that replaces a PDF deck or slide export.
Gamma owns this category. Our detection data shows consistent growth in Gamma deployments, and — importantly — the format extends beyond startup pitches. We detect Gamma on:
This breadth suggests Gamma is establishing itself as a format layer, not just a pitch tool. Whether that translates into defensible market position against competitive entry from Notion, Canva, and Google is the open question for 2026.
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Shopify detection accounts for the overwhelming majority of e-commerce builder identifications in our database — not because Shopify has better AI features, but because the e-commerce platform decision involves deep switching costs.
A Shopify merchant has:
Migrating any of these is painful. This structural lock-in is why "Shopify alternative" tools — Medusa, Saleor, WooCommerce, Commerce Layer — appear in our data primarily as new deployments, rarely as migrations.
The AI opportunity in e-commerce is not a new platform — it is AI features within the existing Shopify ecosystem. Shopify's own Magic AI features, combined with its app store's AI-native integrations, mean the value will accrue to Shopify rather than to a challenger.
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Running a website technology detection tool means constantly updating against platform changes. Three dynamics made 2026 harder than previous years:
1. AI builders are obfuscating fingerprints. As platforms mature, they are more likely to proxy assets through custom domains and strip platform-identifying meta tags. Lovable's earliest deployments were highly detectable. Later deployments are less so — we've seen a measurable reduction in meta tag signal density over the past six months, likely a deliberate product decision.
2. Multi-platform stacks are increasing. A growing share of scanned sites use 3+ detected technologies simultaneously: a JavaScript framework, an AI builder, an analytics tool, and a CDN. This is not surprising for the sophistication level of teams building with AI tools — they are comfortable with composable stacks — but it makes "primary builder" attribution less clear.
3. The CDN layer is consolidating. More and more sites route through Cloudflare regardless of the underlying builder. When Cloudflare HTTP headers appear, they mask or compete with builder-level header signals. We've invested in improving our signal weighting for multi-CDN environments.
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Based on detection trajectory and product announcements, these are the platforms we are watching most closely:
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All data in this report is derived from user-initiated scans on AI Website Detector. Scans are triggered when a user enters a URL. We do not proactively crawl the web.
What we measure: Platform detection events — a positive identification of a specific builder or CMS on a scanned domain. A single domain may generate multiple events over time.
What we do not measure: Total sites on the web using a given platform. Our data reflects the distribution of platforms among sites that people care enough about to scan — a biased but interesting sample.
Signal types used: Script patterns, HTML patterns, CDN domains, HTTP headers, and meta tags. Full methodology: aiwebsitedetector.com/methodology.
Detection patterns are updated continuously. Platform additions and signal changes are tracked in our builder database, currently covering 181 builders.
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*This report will be updated quarterly. Subscribe to our newsletter for alerts when new data is published.*
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