Kazan SEO AI Detector
Professional-grade AI content detection and semantic SEO analysis at zero cost.
Advanced linguistic forensics to distinguish human creativity from machine-generated patterns.
The AI Content Detector by PlagiarismTracker is a high-precision diagnostic tool engineered to identify text generated by Large Language Models (LLMs) including GPT-4o, Claude 3.5, and Gemini 1.5. In the 2026 market landscape, it functions as a critical component of the content supply chain, utilizing a dual-engine approach that combines traditional plagiarism indexing with advanced neural network analysis. The technical architecture relies on 'Perplexity' and 'Burstiness' metrics to evaluate the predictability of word sequences. Unlike standard detectors, PlagiarismTracker incorporates semantic fingerprinting to catch 'AI-spun' content that has been processed through paraphrasing tools. Its 2026 iteration features enhanced detection for AI-assisted human writing, providing a granular 'AI Influence' score rather than a binary result. This makes it an essential asset for academic institutions, digital publishers, and legal departments requiring high-fidelity verification of intellectual property. The platform's scalable infrastructure allows for individual document analysis or enterprise-level batch processing via its RESTful API, ensuring it meets the throughput demands of high-volume editorial teams.
Measures the randomness of text sequences based on language model probability distributions.
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.
Analyzes the variation in sentence structure and length across the document.
Simultaneously scans against signatures for GPT-4, Claude, Gemini, and Llama 3.
Uses vector embeddings to detect if AI content has been structurally altered to bypass simple scanners.
Detects invisible statistical watermarks embedded by model providers.
Cross-references suspected AI text with a 100-billion-page web index.
Supports AI detection in 30+ languages including Spanish, French, and Mandarin.
Students using GPT-4 to write essays that bypass traditional plagiarism checkers.
Registry Updated:2/7/2026
Google penalizing sites for low-value, mass-produced AI content.
Verifying the origin of witness statements or contractual clauses.