Kazan SEO AI Detector
Professional-grade AI content detection and semantic SEO analysis at zero cost.
Enterprise-grade linguistic fingerprinting for identifying synthetic text with 99.4% accuracy.
AI Detector by TextAce is a high-performance forensic tool engineered to differentiate between human-authored and LLM-generated content. As of 2026, the tool utilizes a proprietary multi-layer transformer-based classifier trained on the 'TextAce-Synthetic-2025' dataset, which includes outputs from GPT-5, Claude 4, and advanced Llama-4 fine-tunes. Unlike basic statistical detectors, TextAce analyzes semantic variance and 'structural predictability' (Perplexity and Burstiness) at a granular sentence level. Its architecture is specifically optimized for long-form content, providing a probability heatmap that highlights specific regions of machine-generated text. In the 2026 market, it positions itself as an essential layer for SEO agencies and academic institutions aiming to maintain high E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness) standards. The system integrates with major CMS platforms via API, allowing for real-time content gating and automated auditing of freelance submissions, effectively mitigating the risk of search engine penalties associated with unrefined AI spam.
Simultaneous analysis across 15+ LLM architectures to identify specific origin models.
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.
Visualizes word-choice predictability using a color-coded gradient (red for high probability AI, green for human).
Uses an adversarial neural network to detect if text has been processed by an 'AI Humanizer'.
Compares the uploaded text against previous samples from the same author to find variance.
Detection capabilities extended to 25+ languages using Cross-lingual Language Model (XLM) pre-training.
Crawls entire domains to perform site-wide AI content audits.
Generates a unique hash for every report, stored on a private ledger for audit trails.
Preventing Google ranking drops due to low-quality AI-generated bulk content.
Registry Updated:2/7/2026
Re-verify for 100% human score
Determining if students used unapproved AI assistance in essays.
Ensuring that paid writers are providing original human content rather than LLM outputs.