Link Rel Attribute Viewer
Free to download on every platform. Comes pre-installed on BotFone, BotPad and BotFlip — with extra free apps included.
About this app
WHAT IT DOES
Link Rel Attribute Viewer is a browser extension that scans any webpage for links and displays their rel attributes (nofollow, sponsored, ugc, etc.) alongside the link text and URL. It shows a summary of rel attribute usage with counts for nofollow, sponsored, and ugc links, and highlights links with specific rel values using color coding (purple for nofollow, orange for sponsored, green for ugc). The tool also detects combined rel attributes (e.g., nofollow + sponsored) and flags them. The tool is ideal for SEO professionals, content strategists, web developers, and anyone who wants to analyze the link profile of a webpage and understand how rel attributes are being used.
WHERE IT RUNS
Link Rel Attribute Viewer runs on any webpage, overlaying a floating panel that does not interfere with page content. It operates entirely in your browser as a lightweight userscript, scanning the DOM for anchor elements. It works on any page, whether static or dynamic, with no external dependencies. All settings are stored locally using GM_setValue—no data is ever sent to any server.
HOW TO USE
After installation, open the floating panel by clicking the extension icon. The panel shows the current status (Enabled or Disabled) and a toggle button to enable or disable the viewer. The panel displays a summary with counts for total links, nofollow, sponsored, and ugc links. A list shows each link with its text, URL, and rel attribute tags. Links with no rel attribute show "none." Click the "Scan Links" button to manually rescan for links. The tool automatically rescans when the page content changes. All settings are saved per website.
REAL MECHANISM — WHY THIS WORKS
Most link analysis tools require manual inspection of the page source or external SEO tools that may not show real-time data. Link Rel Attribute Viewer uses a DOM-scanning approach that directly reads rel attributes from link elements. The tool queries the page for all anchor elements with href attributes, then extracts the rel attribute and parses it into individual values by splitting on whitespace. It categorizes links based on their rel values: nofollow, sponsored, ugc, or other. The tool also tracks combined rel attributes (e.g., "nofollow sponsored") and flags them for attention. Results are displayed with color-coded cards and tag-based rel value display. The tool uses a MutationObserver to detect dynamically added links and rescans automatically. This approach ensures accurate, real-time, and fully private link rel attribute analysis without requiring any external services or network access.
THE PANEL
The floating panel is fully draggable and remembers its position per site, snapping to the edges of the viewport when dragged near them. You can collapse the panel to a small icon to minimize screen distraction and expand it back with a single click. The panel is resizable from the bottom-right corner, giving you more space to view the results. Press the Escape key to close the panel instantly. The panel remains open across page navigation within the same domain, maintaining your current view state. All preferences—panel position and enabled state—are saved per domain for a seamless experience.
PLEASE NOTE
Link Rel Attribute Viewer requires the free BotGentz extension to be installed and enabled, as it relies on the cross-extension messaging API provided by BotGentz for DOM access permissions. The tool reads the rel attribute from link elements. It does not modify or change any attributes. The color coding is purely visual and does not affect the page. Combined rel attributes are flagged but are not necessarily problematic—they may be intentional for some use cases. All settings are stored locally in your browser using GM_setValue. No page content, link data, or usage information is ever sent to any server. The extension does not read, store, or transmit any personal information. It only scans and displays link data at your request.