Kazan SEO AI Detector
Professional-grade AI content detection and semantic SEO analysis at zero cost.

Advanced linguistic forensic analysis for detecting synthetic and LLM-generated content.
AI Detector by WritingYard is a sophisticated content verification platform designed for the 2026 digital landscape, where the line between human and synthetic writing is increasingly blurred. The technical architecture relies on an ensemble of Transformer-based models, specifically optimized to identify the linguistic fingerprints of LLMs such as GPT-4o, Claude 3.5, and Gemini Pro. By analyzing 'Perplexity'—the measure of text randomness—and 'Burstiness'—the variation in sentence length and structure—the tool provides a probabilistic score of human authorship. Unlike basic pattern-matching tools, WritingYard employs deep learning classifiers that are periodically retrained on massive datasets of both human and AI-generated corpuses to stay ahead of evolving generative styles. Its 2026 market positioning focuses on high-speed, low-latency processing, making it an essential utility for educators, SEO professionals, and publishers who require instant verification without the friction of complex setups. The platform serves as a critical gateway in the information supply chain, ensuring that content authenticity remains a verifiable metric in automated publishing environments.
Simultaneously scans text against probability distributions of GPT-3.5, GPT-4, Claude, and Llama 3.
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.
Calculates the mathematical randomness of word choices based on token prediction patterns.
Analyzes the variance in sentence length and complexity across the document.
Utilizes mBERT (Multilingual BERT) to detect AI patterns in non-English languages including Spanish, French, and German.
Visual overlay that color-codes text based on the likelihood of being AI-generated.
Automatically strips hidden formatting that might interfere with linguistic analysis.
Text is processed in volatile memory and not stored in a database for training purposes.
Ensuring student submissions are original and not generated by tools like ChatGPT.
Registry Updated:2/7/2026
Preventing search engine penalties for low-quality automated content.
Validating that paid contributors are delivering human-written work.