Kazan SEO AI Detector
Professional-grade AI content detection and semantic SEO analysis at zero cost.
Advanced linguistic forensic analysis to differentiate human creativity from machine-generated synthetics.
AI Detector by PlagiarismWatch is a sophisticated forensic tool engineered to analyze the structural and linguistic patterns of text to identify generative AI signatures. In the 2026 market, as LLMs produce increasingly human-like output, PlagiarismWatch utilizes a multi-dimensional analysis engine focusing on perplexity and burstiness metrics. The platform is designed for high-volume environments such as digital publishing, academic institutions, and legal departments. Its architecture leverages a massive dataset of both human and synthetic text to identify subtle markers left by models like GPT-4o, Claude 3.5, and Gemini Ultra. Beyond simple classification, the tool provides a heat-mapped breakdown of specific sentences likely to be synthetic, offering a transparency layer essential for content audits. By integrating traditional plagiarism detection with neural network-based AI detection, it provides a comprehensive 'Content Integrity' score that accounts for both direct copying and LLM generation. The 2026 iteration includes enhanced detection for 'AI Humanizers' and paraphrasing tools, making it a robust gatekeeper in the synthetic content era.
Color-coded visualization of the probability of AI generation on a per-sentence basis using perplexity thresholds.
Professional-grade AI content detection and semantic SEO analysis at zero cost.
Forensic-level AI content detection and advanced humanization for SEO-proof content.
Transform AI-generated text into undetectable, human-grade content with advanced linguistic humanization.
A non-profit open-source detector for educational integrity and transparent AI verification.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Simultaneous execution of a global web-crawl and a neural network AI scan.
Advanced detection algorithms trained to identify content processed through AI-masking or humanizing tools.
Support for 20+ languages using specialized tokens for non-English linguistic patterns.
Attempts to map detected text to potential LLM sources based on known model weights/outputs.
Asynchronous API endpoints for processing thousands of documents simultaneously.
Allows agencies to generate AI detection reports with their own branding for clients.
Ensuring student submissions are original and not generated by LLMs.
Registry Updated:2/7/2026
Preventing search engine penalties for low-quality AI-generated spam content.
Verifying that paid ghostwriters are not using AI to fulfill contracts.