Kazan SEO AI Detector
Professional-grade AI content detection and semantic SEO analysis at zero cost.
Precision-engineered AI content detection for maintaining SEO integrity and academic honesty.
AI Detector by SEOToolsHH is a specialized utility within the broader SEOToolsHH suite, designed to analyze linguistic patterns for markers of machine generation. In the 2026 landscape, where large language models (LLMs) have become ubiquitous, this tool serves as a critical checkpoint for content strategists and educators. The technical architecture leverages perplexity and burstiness metrics—two core statistical properties of text—to differentiate between the structured, predictable output of AI models like GPT-4o, Claude 3.5, and Gemini 2.0, and the more varied, irregular cadence of human prose. The platform is optimized for high-speed processing, utilizing a lightweight backend to deliver results in near real-time without the overhead of enterprise-level registration processes. As search engines increasingly prioritize 'Helpful Content' with high EEAT (Experience, Expertise, Authoritativeness, and Trustworthiness), SEOToolsHH provides a necessary diagnostic layer to ensure content portfolios do not trigger algorithmic penalties. It is particularly effective for high-volume scanning of blog posts, academic submissions, and marketing copy, offering a transparent percentage-based probability score that helps users decide if a text requires human rewriting or fact-checking.
Calculates the statistical randomness of the text; lower perplexity correlates strongly with AI generation.
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.
Measures the variation in sentence length and structure across the document.
The algorithm is updated to recognize the specific tokens and patterns of Gemini and Claude models.
Provides a live 0-100% score based on a weighted average of multiple linguistic tests.
Supports detection for English, Spanish, French, and German text using localized tokenization.
Direct browser-based execution without server-side user data persistence.
Color-coded UI that marks specific blocks of text with high AI suspicion scores.
Educators need to ensure student submissions are original and not generated by LLMs.
Registry Updated:2/7/2026
Discuss results with student.
Agency owners need to verify that hired writers are not outsourcing work to AI.
Preventing site-wide penalties from Google's helpful content updates.