Kazan SEO AI Detector
Professional-grade AI content detection and semantic SEO analysis at zero cost.
Clinical-grade detection of synthetic text through multi-layered transformer analysis.
AI Content Detector by Sim represents a high-fidelity solution in the 2026 landscape for identifying machine-generated text. The platform's technical architecture utilizes a proprietary ensemble model that combines Perplexity and Burstiness metrics with a fine-tuned RoBERTa-large classifier. Unlike basic detectors, Sim employs a 'Delta-Signature' analysis that tracks the subtle deterministic patterns inherent in transformer-based models like GPT-4o, Claude 3.5, and Gemini 1.5 Pro. As of 2026, the tool has positioned itself as an essential layer in the enterprise content supply chain, offering deep-scan capabilities that go beyond surface-level linguistics. It provides a probability heatmap across document segments, allowing editors to identify specific passages that may have been augmented by AI rather than completely generated by it. The system is designed for high-throughput environments, featuring an optimized inference engine that maintains low latency even during massive batch uploads. Its market position is defined by its transparency, providing researchers and compliance officers with detailed 'Origin Scores' and evidence-based reporting that can withstand internal audits and academic scrutiny.
A visual overlay that highlights specific sentences based on their AI probability scores using a color-coded gradient.
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.
Users can flag false positives to retrain the local workspace model for niche brand voices.
Identifies which specific LLM likely generated the text (e.g., GPT-4 vs. Llama 3).
Measures the variation in sentence structure and length which is often uniform in AI text.
Support for 25+ languages using cross-lingual embeddings.
Native plugins for WordPress, Contentful, and Ghost for real-time auditing.
Parallel processing of up to 500 documents simultaneously using AWS Lambda backends.
Students using AI to write essays that bypass standard plagiarism checkers.
Registry Updated:2/7/2026
Google de-ranking sites that rely heavily on low-effort AI-generated content.
Hiring writers who use AI to fulfill high-volume contracts without disclosure.