This page is the public scan index for the AI Website Detector. Its job is not just to list URLs. It helps visitors see what the scanner returns, how examples are labeled, and where to click for deeper detail on individual results.
When public scan history is enabled, recent example scans can appear here with summary labels such as likely CMS, likely builder, AI involvement estimate, and overall confidence. That makes the index useful for browsing patterns across many sites instead of treating every scan as an isolated one-off result.
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.
The public index is designed as a discovery layer. It lets visitors browse a stream of example website scans and quickly understand what the detector found. Rather than forcing someone to run a new scan to understand the product, the index can demonstrate real result shapes, common patterns, and the difference between high-confidence and limited-evidence outcomes.
A good recent-scans page should highlight enough context to be useful without pretending the index itself is the full report. That is why each card or row can show a summarized result, while the deeper evidence belongs on the dedicated detail page for that scan.
Not every result in a public index should be read as a permanent truth. Websites change, migrate, or remove clues over time. That is why example scans should be clearly marked as examples, recent public results, or demonstrations where appropriate. The label protects interpretation and reminds users that the scan describes what the system saw at a particular moment.
Clear marking is also good product hygiene. It tells visitors that the scanner values context and transparency, not just flashy output. If a site changes after a scan, the index should not imply that the old result remains a universal fact forever.
Each public index entry should link to a dedicated detail page, typically at a route like `/scan/[id]`. That detail page is where the richer evidence can live: summary text, matched technologies, confidence framing, notable clues, and any explanatory notes about ambiguity or conflicting signals.
Separating the index from the detail view keeps the public browsing experience fast and readable. Someone who wants a quick look can stay on the recent-scans page. Someone who wants to inspect a specific result can drill into the detail page and review the evidence more carefully.
Recent scans do more than showcase the product. They help users learn what kinds of answers the detector provides. Over time, a healthy index can teach visitors how different builders, CMS platforms, and AI-assisted workflows tend to present themselves on the public web. It becomes a living library of examples, not just a utility screen.
Not necessarily. Public indexing depends on product settings, retention choices, and how the scanner is configured for example visibility. The recent-scans page is best understood as a public sample or browseable history, not a guarantee that every scan is displayed.
A detail page should provide the deeper interpretation for a single result, including summary findings, confidence language, notable evidence categories, and any caveats about mixed or limited signals.
Browse recent scan results indexed for research. Example scans are marked in summaries; live scans from visitors appear as the tool is used.
AI Nerd Network is a practical hub for AI news, tools, guides, RSS feeds, and technology awareness. AI Nerd Network Scanner hosts the AI Website Detector and related detection tools — helping people understand how AI is changing the internet, software, websites, and everyday computer use.
Actually works. Evidence-based detection—not just a guess. Run a free scan above. Need more scans or PDF export? See Premium ($39/month).
Scan a Website Free