Website Cloaking Checker

Detect hidden content discrepancies between search engine bots and real users. Analyze potential SEO cloaking and user-agent spoofing risks.

Please enter a valid URL.

🛡️ No Cloaking Detected

Content Match Score

100%

Perfect Match

HTTP Status Comparison

200 vs 200

User / Bot

Keyword Variance

0.0%

Deviation

Standard Browser View

<!DOCTYPE html> <html> <body> <h1>Welcome to Our Site</h1> <p>This is the standard content visible to all users.</p> </body> </html>

Googlebot View

<!DOCTYPE html> <html> <body> <h1>Welcome to Our Site</h1> <p>This is the standard content visible to all users.</p> </body> </html>

What is Website Cloaking?

Cloaking is a "Black Hat" SEO technique where a website presents completely different content or URLs to search engine spiders (like Googlebot) than it does to human users. The goal is to deceive search engines into ranking the site for keywords that are not actually relevant to the content a user sees.

Why is Cloaking Dangerous?

Search engines like Google strictly penalize cloaking because it ruins the user experience. If a user searches for "Best Apple Pie Recipes" but clicks a link that redirects them to a gambling site (because the bot saw a recipe page), the trust in the search engine is eroded.

How This Tool Works

This tool simulates the behavior of a User-Agent switcher. It compares how a server responds to a standard browser request versus a request identified as a crawler.

Status Code Check: Ensures the server returns "200 OK" to both parties. A 403 Forbidden to bots is a bad sign.
Content Length Diff: Analyzes if the bot is served significantly more text (keyword stuffing) than the user.
Hyperlink Audit: Checks if the bot sees links that are hidden from the user interface.

Disclaimer: This tool runs client-side in your browser. Due to Cross-Origin Resource Sharing (CORS) security policies, browsers cannot directly fetch external websites as a specific User-Agent without a proxy. This tool provides a deterministic simulation of cloaking detection logic to demonstrate how such audits are performed. For forensic-level detection, server-side tools or manual "View Source" comparisons are recommended.