Kazan SEO AI Detector
Professional-grade AI content detection and semantic SEO analysis at zero cost.
Precision Content Authentication for the Post-Generative Web.
AI Detector by SEOToolPro is a high-fidelity linguistic analysis engine engineered to distinguish between human-authored and machine-generated text. In the 2026 digital landscape, where LLMs produce highly sophisticated synthetic content, this tool employs a multi-layered approach using transformer-based classifiers. It specifically evaluates 'Perplexity'—the measure of text randomness—and 'Burstiness'—the variance in sentence structure and length. The technical architecture is calibrated to detect outputs from the latest models including GPT-4o, Gemini 1.5 Pro, and Llama 3.1. Beyond simple percentage scores, it provides a token-by-token heatmap highlighting sections with high predictability scores. This makes it an essential utility for SEO professionals aiming to maintain E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness) standards and for academic institutions requiring a low-false-positive environment for student assessment. The tool operates as a client-side and server-side hybrid to ensure rapid analysis speeds while maintaining high data privacy for processed strings.
Calculates the log-likelihood of the token sequence against a reference language model to determine text predictability.
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 standard deviation of sentence lengths and structures across the document.
Visualizes the probability of each token being chosen by an AI model in real-time.
Cross-references text against training data patterns from OpenAI, Anthropic, and Meta.
Performs initial pre-processing locally to reduce server-side latency.
Support for English, Spanish, French, and German linguistic structures.
Proprietary algorithm adjustments to prevent the flagging of high-quality human technical writing.
Ensuring commissioned articles aren't 100% AI-generated to avoid Google ranking penalties.
Registry Updated:2/7/2026
Identifying student submissions generated by GPT models.
Validating the human origin of submitted witness statements or legal briefs.