Can you always tell if a website was built with AI?
No. Public signals are incomplete by nature. We report probability with evidence and flag when manual review is more appropriate.
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Is This Website Built With AI?
AI-built websites are getting harder to spot. Some are created with AI builders, some are generated with coding assistants, and some are traditional websites with AI-written copy or AI-assisted layouts. This scanner helps you check the evidence behind how a site was likely made.
The question is rarely binary. A polished marketing site might run on WordPress with AI-drafted copy. A startup landing page might be a Lovable export on a custom domain. A developer portfolio might be hand-coded with Cursor assisting behind the scenes. Public detection separates those stories when fingerprints allow.
Scan Any Website
Enter a URL to detect whether AI was used, estimate AI potential as a percentage, and review CMS, builder, and technical evidence.
20 free scans per day, shared across all detection tools.
AI-Built, AI-Assisted, or Just Modern?
People often collapse every AI touch into one label—'AI website'—but the categories matter for research and due diligence.
AI-built website
A site whose structure, deployment, or builder workflow appears dominated by AI-native generation tools. Strong signals might include AI app-builder hosting patterns, rapid SPA exports, or multiple AI-builder fingerprints together.
AI-assisted website
A traditional CMS or custom stack where AI likely helped—coding assistants, AI layout suggestions, generated components—but the public footprint still looks like a conventional platform build.
AI-generated copy or design
The site may be WordPress or Webflow while marketing copy or section layouts were AI-produced. Public HTML alone often cannot prove copy origin; we focus on technical build signals and note when copy clues are inconclusive.
Traditional CMS or custom-coded
Many excellent sites are not AI-built at all. WordPress, Shopify, Webflow, and hand-coded stacks remain the majority of the web. A good detector should celebrate clarity, not assume AI by default.
Why It Is Hard to Know Just by Looking
Modern templates, design systems, and no-code tools make sites look alike. A Framer marketing page and a v0 export can share similar typography trends. A WordPress Elementor site can mimic a custom React landing page at a glance.
Custom domains mask hosting origins. Minification removes comments and paths. Agencies rebuild AI drafts into traditional CMS workflows. That is why this scanner emphasizes evidence lists and confidence—not a single verdict from visual inspection alone.
Signals This Scanner Looks For
We combine multiple signal families into a layered result. No single clue is treated as proof.
- AI-builder deployment clues on public hosts
- Generated component structures in SPA bundles
- CMS and page-builder fingerprints
- Script, stylesheet, and asset path patterns
- Framework traces—React, Next.js, Vite, and related markers
- Metadata, generator tags, and structured data when exposed
- Hosting and CDN delivery that matches known AI publish flows
What the Result Means
Results use plain-language labels with confidence scores. Common outcomes include AI-built likely, AI-assisted likely, traditional builder detected, mixed signals detected, custom-coded likely, or insufficient evidence.
Insufficient evidence is a valid answer. It means the public web did not expose enough fingerprints to support a stronger story—and that honesty protects you from false certainty.
Use Cases
Teams reach for this checker in predictable moments: competitive research, agency portfolio review, post-acquisition site audits, vendor claim validation, and personal learning about how AI is showing up in real-world web production.
- Checking a competitor's positioning and stack
- Reviewing an agency portfolio before hiring
- Auditing a site you purchased or inherited
- Learning how modern AI-assisted sites are assembled
- Researching AI adoption in a niche or geography
Frequently asked questions
What is the difference between AI-built and AI-assisted?
AI-built suggests AI-native tools or workflows dominated the creation path. AI-assisted suggests traditional stacks with AI help in code, layout, or content. The scanner tries to separate those patterns when fingerprints support it.
Can a website hide AI traces?
Yes. Teams can rebuild exports, strip metadata, move to custom hosting, or migrate into WordPress/Webflow. Hidden fingerprints produce lower confidence—not a guarantee of manual work.
Does AI-written copy mean the website was built with AI?
Not necessarily. AI copywriting is common on traditional CMS sites. Our primary focus is technical build signals; copy origin is harder to prove from HTML alone.
Can this detect AI coding tools?
We infer AI-assisted development from deployment and stack patterns where possible. We do not claim direct detection of a specific IDE unless supporting site evidence exists.
Is the scan free?
Yes—20 free scans per day with evidence-based reporting.
Related pages
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